Brain Sciences

17 pages, 357 KiB

Open AccessEditor’s ChoiceReview

Treatment of Cognitive Impairment Associated with Schizophrenia Spectrum Disorders: New Evidence, Challenges, and Future Perspectives

by Irene Calzavara-Pinton, Gabriele Nibbio, Stefano Barlati, Lorenzo Bertoni, Nicola Necchini, Daniela Zardini, Antonio Baglioni, Stefano Paolini, Laura Poddighe, Viola Bulgari, Jacopo Lisoni, Giacomo Deste and Antonio Vita

Brain Sci. 2024, 14(8), 791; https://doi.org/10.3390/brainsci14080791 - 6 Aug 2024

Viewed by 4800

Abstract

Cognitive impairment associated with schizophrenia (CIAS) represents one of the core features of the disorder and has a significant impact on functional and rehabilitation outcomes of people living with schizophrenia spectrum disorders (SSD). The aim of this critical review is to highlight the [...] Read more.

Cognitive impairment associated with schizophrenia (CIAS) represents one of the core features of the disorder and has a significant impact on functional and rehabilitation outcomes of people living with schizophrenia spectrum disorders (SSD). The aim of this critical review is to highlight the most recent evidence on effective treatments available for CIAS, to discuss the current challenges in this field, and to present future perspectives that may help to overcome them. Concerning psychopharmacological approaches, among the most indicated strategies for the management and prevention of CIAS is to favor second-generation antipsychotic medications and avoid long-term and high-dose treatments with anticholinergic medications and benzodiazepines. Moreover, non-pharmacological approaches such as cognitive remediation and physical exercise-based programs represent evidence-based interventions in the treatment of CIAS that have shown reliable evidence of effectiveness on both cognitive and functional outcomes. These treatments, however, are still delivered to people accessing mental health services with a diagnosis of CIAS in an uneven manner, even in high-income countries. Academic and clinical partnership and collaboration, as well as advocacy from service users, families, carers, and stakeholders’ organizations could help to reduce the bench to bedside gap in the treatment of CIAS. Future perspectives include the development of novel pharmacological agents that could be effective in the treatment of CIAS, the implementation of novel technologies such as telemedicine and virtual reality in the delivery of evidence-based interventions to improve accessibility and engagement, and further research in the field of non-invasive brain stimulation. Full article

(This article belongs to the Special Issue Cognitive Dysfunction in Schizophrenia)

18 pages, 1073 KiB

Open AccessEditor’s ChoiceReview

Understanding the Effect of Listening to Music, Playing Music, and Singing on Brain Function: A Scoping Review of fNIRS Studies

by Keya Ding, Jingwen Li, Xuemei Li and Hui Li

Brain Sci. 2024, 14(8), 751; https://doi.org/10.3390/brainsci14080751 - 26 Jul 2024

Viewed by 9067

Abstract

Music is integrated into daily life when listening to it, playing it, and singing, uniquely modulating brain activity. Functional near-infrared spectroscopy (fNIRS), celebrated for its ecological validity, has been used to elucidate this music–brain interaction. This scoping review synthesizes 22 empirical studies using [...] Read more.

Music is integrated into daily life when listening to it, playing it, and singing, uniquely modulating brain activity. Functional near-infrared spectroscopy (fNIRS), celebrated for its ecological validity, has been used to elucidate this music–brain interaction. This scoping review synthesizes 22 empirical studies using fNIRS to explore the intricate relationship between music and brain function. This synthesis of existing evidence reveals that diverse musical activities, such as listening to music, singing, and playing instruments, evoke unique brain responses influenced by individual traits and musical attributes. A further analysis identifies five key themes, including the effect of passive and active music experiences on relevant human brain areas, lateralization in music perception, individual variations in neural responses, neural synchronization in musical performance, and new insights fNIRS has revealed in these lines of research. While this review highlights the limited focus on specific brain regions and the lack of comparative analyses between musicians and non-musicians, it emphasizes the need for future research to investigate the complex interplay between music and the human brain. Full article

(This article belongs to the Section Sensory and Motor Neuroscience)

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12 pages, 1628 KiB

Open AccessEditor’s ChoiceArticle

Emotional and Cognitive “Route” in Decision-Making Process: The Relationship between Executive Functions, Psychophysiological Correlates, Decisional Styles, and Personality

by Davide Crivelli, Carlotta Acconito and Michela Balconi

Brain Sci. 2024, 14(7), 734; https://doi.org/10.3390/brainsci14070734 - 22 Jul 2024

Viewed by 5972

Abstract

Studies on decision-making have classically focused exclusively on its cognitive component. Recent research has shown that a further essential component of decisional processes is the emotional one. Indeed, the emotional route in decision-making plays a crucial role, especially in situations characterized by ambiguity, [...] Read more.

Studies on decision-making have classically focused exclusively on its cognitive component. Recent research has shown that a further essential component of decisional processes is the emotional one. Indeed, the emotional route in decision-making plays a crucial role, especially in situations characterized by ambiguity, uncertainty, and risk. Despite that, individual differences concerning such components and their associations with individual traits, decisional styles, and psychophysiological profiles are still understudied. This pilot study aimed at investigating the relationship between individual propensity toward using an emotional or cognitive information-processing route in decision-making, EEG and autonomic correlates of the decisional performance as collected via wearable non-invasive devices, and individual personality and decisional traits. Participants completed a novel task based on realistic decisional scenarios while their physiological activity (EEG and autonomic indices) was monitored. Self-report questionnaires were used to collect data on personality traits, individual differences, and decisional styles. Data analyses highlighted two main findings. Firstly, different personality traits and decisional styles showed significant and specific correlations, with an individual propensity toward either emotional or cognitive information processing for decision-making. Secondly, task-related EEG and autonomic measures presented a specific and distinct correlation pattern with different decisional styles, maximization traits, and personality traits, suggesting different latent profiles. Full article

(This article belongs to the Section Cognitive, Social and Affective Neuroscience)

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10 pages, 241 KiB

Open AccessEditor’s ChoiceArticle

Depression Is Associated with a Higher Risk of Mortality among Breast Cancer Survivors: Results from the National Health and Nutrition Examination Survey–National Death Index Linked Study

by Jagdish Khubchandani, Srikanta Banerjee, Kavita Batra and May A. Beydoun

Brain Sci. 2024, 14(7), 732; https://doi.org/10.3390/brainsci14070732 - 21 Jul 2024

Cited by 1 | Viewed by 3863

Abstract

Breast cancer (BC) and depression are globally prevalent problems. Numerous reviews have indicated the high prevalence of depression among BC survivors. However, the long-term impact of depression on survival among BC survivors has not been well explored. For this investigation, we aimed to [...] Read more.

Breast cancer (BC) and depression are globally prevalent problems. Numerous reviews have indicated the high prevalence of depression among BC survivors. However, the long-term impact of depression on survival among BC survivors has not been well explored. For this investigation, we aimed to explore the relationship between BC, depression, and mortality from a national random sample of adult American women. Data from the U.S. National Health and Nutrition Examination Survey (years 2005–2010) were linked with mortality data from the National Death Index up to December 31st, 2019. A total of 4719 adult women (ages 45 years and older) were included in the study sample with 5.1% having breast cancer and more than a tenth (12.7%) having depression. The adjusted hazard ratio (HR) for all-cause mortality risk among those with BC was 1.50 (95% CI = 1.05–2.13) compared to those without BC. In the adjusted analysis, the risk of all-cause mortality was highest among women with both depression and BC (HR = 3.04; 95% CI = 1.15–8.05) compared to those without BC or depression. The relationship between BC and mortality was moderated by cardiovascular diseases, anemia, smoking, age, PIR, and marital status. Our analysis provides vital information on factors that could be helpful for interventions to reduce mortality risk among those with BC and depression. In addition, given the higher risk of mortality with co-occurring BC and depression, collaborative healthcare practices should help with widespread screening for and treatment of depression among BC survivors. Full article

(This article belongs to the Special Issue Clinical Research on Mood Disorders: Opportunities and Challenges)

21 pages, 2257 KiB

Open AccessEditor’s ChoiceArticle

Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis

by Eamonn Kennedy, Spencer W. Liebel, Hannah M. Lindsey, Shashank Vadlamani, Pui-Wa Lei, Maheen M. Adamson, Martin Alda, Silvia Alonso-Lana, Tim J. Anderson, Celso Arango, Robert F. Asarnow, Mihai Avram, Rosa Ayesa-Arriola, Talin Babikian, Nerisa Banaj, Laura J. Bird, Stefan Borgwardt, Amy Brodtmann, Katharina Brosch, Karen Caeyenberghs, Vince D. Calhoun, Nancy D. Chiaravalloti, David X. Cifu, Benedicto Crespo-Facorro, John C. Dalrymple-Alford, Kristen Dams-O’Connor, Udo Dannlowski, David Darby, Nicholas Davenport, John DeLuca, Covadonga M. Diaz-Caneja, Seth G. Disner, Ekaterina Dobryakova, Stefan Ehrlich, Carrie Esopenko, Fabio Ferrarelli, Lea E. Frank, Carol E. Franz, Paola Fuentes-Claramonte, Helen Genova, Christopher C. Giza, Janik Goltermann, Dominik Grotegerd, Marius Gruber, Alfonso Gutierrez-Zotes, Minji Ha, Jan Haavik, Charles Hinkin, Kristen R. Hoskinson, Daniela Hubl, Andrei Irimia, Andreas Jansen, Michael Kaess, Xiaojian Kang, Kimbra Kenney, Barbora Keřková, Mohamed Salah Khlif, Minah Kim, Jochen Kindler, Tilo Kircher, Karolina Knížková, Knut K. Kolskår, Denise Krch, William S. Kremen, Taylor Kuhn, Veena Kumari, Junsoo Kwon, Roberto Langella, Sarah Laskowitz, Jungha Lee, Jean Lengenfelder, Victoria Liou-Johnson, Sara M. Lippa, Marianne Løvstad, Astri J. Lundervold, Cassandra Marotta, Craig A. Marquardt, Paulo Mattos, Ahmad Mayeli, Carrie R. McDonald, Susanne Meinert, Tracy R. Melzer, Jessica Merchán-Naranjo, Chantal Michel, Rajendra A. Morey, Benson Mwangi, Daniel J. Myall, Igor Nenadić, Mary R. Newsome, Abraham Nunes, Terence O’Brien, Viola Oertel, John Ollinger, Alexander Olsen, Victor Ortiz García de la Foz, Mustafa Ozmen, Heath Pardoe, Marise Parent, Fabrizio Piras, Federica Piras, Edith Pomarol-Clotet, Jonathan Repple, Geneviève Richard, Jonathan Rodriguez, Mabel Rodriguez, Kelly Rootes-Murdy, Jared Rowland, Nicholas P. Ryan, Raymond Salvador, Anne-Marthe Sanders, Andre Schmidt, Jair C. Soares, Gianfranco Spalleta, Filip Španiel, Scott R. Sponheim, Alena Stasenko, Frederike Stein, Benjamin Straube, April Thames, Florian Thomas-Odenthal, Sophia I. Thomopoulos, Erin B. Tone, Ivan Torres, Maya Troyanskaya, Jessica A. Turner, Kristine M. Ulrichsen, Guillermo Umpierrez, Daniela Vecchio, Elisabet Vilella, Lucy Vivash, William C. Walker, Emilio Werden, Lars T. Westlye, Krista Wild, Adrian Wroblewski, Mon-Ju Wu, Glenn R. Wylie, Lakshmi N. Yatham, Giovana B. Zunta-Soares, Paul M. Thompson, Mary Jo Pugh, David F. Tate, Frank G. Hillary, Elisabeth A. Wilde and Emily L. Dennis Show full author list Hide full author list

Brain Sci. 2024, 14(7), 669; https://doi.org/10.3390/brainsci14070669 - 29 Jun 2024

Viewed by 3241

Abstract

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine [...] Read more.

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15–90. The effects of dementia, mild cognitive impairment, Parkinson’s disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia (p < 0.001), while neither depression nor ADHD showed consistent associations with VLM scores (p > 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders. Full article

(This article belongs to the Special Issue Cognitive Impairment in Neuropsychiatry)

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20 pages, 991 KiB

Open AccessEditor’s ChoiceReview

The Complex Relationship between Sleep and Cognitive Reserve: A Narrative Review Based on Human Studies

by Francesca Balsamo, Erica Berretta, Debora Meneo, Chiara Baglioni and Francesca Gelfo

Brain Sci. 2024, 14(7), 654; https://doi.org/10.3390/brainsci14070654 - 27 Jun 2024

Cited by 1 | Viewed by 3267

Abstract

Sleep and brain/cognitive/neural reserve significantly impact well-being and cognition throughout life. This review aims to explore the intricate relationship between such factors, with reference to their effects on human cognitive functions. The specific goal is to understand the bidirectional influence that sleep and [...] Read more.

Sleep and brain/cognitive/neural reserve significantly impact well-being and cognition throughout life. This review aims to explore the intricate relationship between such factors, with reference to their effects on human cognitive functions. The specific goal is to understand the bidirectional influence that sleep and reserve exert on each other. Up to 6 February 2024, a methodical search of the literature was conducted using the PubMed database with terms related to brain, cognitive or neural reserve, and healthy or disturbed sleep. Based on the inclusion criteria, 11 articles were selected and analyzed for this review. The articles focus almost exclusively on cognitive reserve, with no explicit connection between sleep and brain or neural reserve. The results evidence sleep’s role as a builder of cognitive reserve and cognitive reserve’s role as a moderator in the effects of physiological and pathological sleep on cognitive functions. In conclusion, the findings of the present review support the notion that both sleep and cognitive reserve are critical factors in cognitive functioning. Deepening comprehension of the interactions between them is essential for devising strategies to enhance brain health and resilience against age- and pathology-related conditions. Full article

(This article belongs to the Special Issue Sleep, Circadian Rhythms and Cognitive Function)

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23 pages, 2846 KiB

Open AccessEditor’s ChoiceReview

Integrating Augmented Reality in Spine Surgery: Redefining Precision with New Technologies

by Manuel De Jesus Encarnacion Ramirez, Gennady Chmutin, Renat Nurmukhametov, Gervith Reyes Soto, Siddarth Kannan, Gennadi Piavchenko, Vladmir Nikolenko, Ibrahim E. Efe, Alberto Ramírez Romero, Jeff Ntalaja Mukengeshay, Keith Simfukwe, Tshiunza Mpoyi Cherubin, Federico Nicolosi, Salman Sharif, Juan Carlos Roa and Nicola Montemurro

Brain Sci. 2024, 14(7), 645; https://doi.org/10.3390/brainsci14070645 - 27 Jun 2024

Cited by 5 | Viewed by 2230

Abstract

Introduction: The integration of augmented reality (AR) in spine surgery marks a significant advancement, enhancing surgical precision and patient outcomes. AR provides immersive, three-dimensional visualizations of anatomical structures, facilitating meticulous planning and execution of spine surgeries. This technology not only improves spatial understanding [...] Read more.

Introduction: The integration of augmented reality (AR) in spine surgery marks a significant advancement, enhancing surgical precision and patient outcomes. AR provides immersive, three-dimensional visualizations of anatomical structures, facilitating meticulous planning and execution of spine surgeries. This technology not only improves spatial understanding and real-time navigation during procedures but also aims to reduce surgical invasiveness and operative times. Despite its potential, challenges such as model accuracy, user interface design, and the learning curve for new technology must be addressed. AR’s application extends beyond the operating room, offering valuable tools for medical education and improving patient communication and satisfaction. Material and methods: A literature review was conducted by searching PubMed and Scopus databases using keywords related to augmented reality in spine surgery, covering publications from January 2020 to January 2024. Results: In total, 319 articles were identified through the initial search of the databases. After screening titles and abstracts, 11 articles in total were included in the qualitative synthesis. Conclusion: Augmented reality (AR) is becoming a transformative force in spine surgery, enhancing precision, education, and outcomes despite hurdles like technical limitations and integration challenges. AR’s immersive visualizations and educational innovations, coupled with its potential synergy with AI and machine learning, indicate a bright future for surgical care. Despite the existing obstacles, AR’s impact on improving surgical accuracy and safety marks a significant leap forward in patient treatment and care. Full article

(This article belongs to the Special Issue New Trends and Technologies in Modern Neurosurgery)

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13 pages, 1752 KiB

Open AccessEditor’s ChoiceArticle

Selective Activation of the Spinal Cord with Epidural Electrical Stimulation

by Carlos Cuellar, Lauri Lehto, Riaz Islam, Silvia Mangia, Shalom Michaeli and Igor Lavrov

Brain Sci. 2024, 14(7), 650; https://doi.org/10.3390/brainsci14070650 - 27 Jun 2024

Cited by 1 | Viewed by 4397

Abstract

Spinal cord epidural electrical stimulation (EES) has been successfully employed to treat chronic pain and to restore lost functions after spinal cord injury. Yet, the efficacy of this approach is largely challenged by the suboptimal spatial distribution of the electrode contacts across anatomical [...] Read more.

Spinal cord epidural electrical stimulation (EES) has been successfully employed to treat chronic pain and to restore lost functions after spinal cord injury. Yet, the efficacy of this approach is largely challenged by the suboptimal spatial distribution of the electrode contacts across anatomical targets, limiting the spatial selectivity of stimulation. In this study, we exploited different ESS paradigms, designed as either Spatial-Selective Stimulation (SSES) or Orientation-Selective Epidural Stimulation (OSES), and compared them to Conventional Monopolar Epidural Stimulation (CMES). SSES, OSES, and CMES were delivered with a 3- or 4-contact electrode array. Amplitudes and latencies of the Spinally Evoked Motor Potentials (SEMPs) were evaluated with different EES modalities. The results demonstrate that the amplitudes of SEMPs in hindlimb muscles depend on the orientation of the electrical field and vary between stimulation modalities. These findings show that the electric field applied with SSES or OSES provides more selective control of amplitudes of the SEMPs as compared to CMES. We demonstrate that spinal cord epidural stimulation applied with SSES or OSES paradigms in the rodent model could be tailored to the functional spinal cord neuroanatomy and can be tuned to specific target fibers and their orientation, optimizing the effect of neuromodulation. Full article

(This article belongs to the Special Issue New Perspectives in Chronic Pain Research: Focus on Neuroimaging)

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17 pages, 323 KiB

Open AccessEditor’s ChoiceArticle

Exploring the Potential Impact of GLP-1 Receptor Agonists on Substance Use, Compulsive Behavior, and Libido: Insights from Social Media Using a Mixed-Methods Approach

by Davide Arillotta, Giuseppe Floresta, G. Duccio Papanti Pelletier, Amira Guirguis, John Martin Corkery, Giovanni Martinotti and Fabrizio Schifano

Brain Sci. 2024, 14(6), 617; https://doi.org/10.3390/brainsci14060617 - 20 Jun 2024

Cited by 3 | Viewed by 6380

Abstract

Glucagon-like peptide-1 (GLP-1) is involved in a range of central and peripheral pathways related to appetitive behavior. Hence, this study explored the effects of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) on substance and behavioral addictions, including alcohol, caffeine, nicotine, cannabis, psychostimulants, compulsive shopping, [...] Read more.

Glucagon-like peptide-1 (GLP-1) is involved in a range of central and peripheral pathways related to appetitive behavior. Hence, this study explored the effects of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) on substance and behavioral addictions, including alcohol, caffeine, nicotine, cannabis, psychostimulants, compulsive shopping, and sex drive/libido. Data were collected from various social platforms. Keywords related to GLP-1 RAs and substance/behavioral addiction were used to extract relevant comments. The study employed a mixed-methods approach to analyze online discussions posted from December 2019 to June 2023 and collected using a specialized web application. Reddit entries were the focus here due to limited data from other platforms, such as TikTok and YouTube. A total of 5859 threads and related comments were extracted from six subreddits, which included threads about GLP-1 RAs drugs and associated brand names. To obtain relevant posts, keywords related to potential substance use and compulsive behavior were selected. Further analysis involved two main steps: (1) manually coding posts based on users’ references to the potential impact of GLP-1 RAs on substance use and non-substance habits, excluding irrelevant or unclear comments; (2) performing a thematic analysis on the dataset of keywords, using AI-assisted techniques followed by the manual revision of the generated themes. Second, a thematic analysis was performed on the keyword-related dataset, using AI-assisted techniques followed by the manual revision of the generated themes. In total, 29.75% of alcohol-related; 22.22% of caffeine-related; and 23.08% of nicotine-related comments clearly stated a cessation of the intake of these substances following the start of GLP-1 RAs prescription. Conversely, mixed results were found for cannabis intake, and only limited, anecdotal data were made available for cocaine, entactogens, and dissociative drugs’ misuse. Regarding behavioral addictions, 21.35% of comments reported a compulsive shopping interruption, whilst the sexual drive/libido elements reportedly increased in several users. The current mixed-methods approach appeared to be a useful tool in gaining insight into complex topics such as the effects of GLP-1 RAs on substance and non-substance addiction-related disorders; some GLP-1 RA-related mental health benefits could also be inferred from here. Overall, it appeared that GLP-1 RAs may show the potential to target both substance craving and maladaptive/addictive behaviors, although further empirical research is needed. Full article

(This article belongs to the Special Issue Psychiatry and Addiction: A Multi-Faceted Issue)

13 pages, 653 KiB

Open AccessEditor’s ChoiceReview

Long COVID in Brain Health Research: A Call to Action

by Thorsten Rudroff

Brain Sci. 2024, 14(6), 587; https://doi.org/10.3390/brainsci14060587 - 8 Jun 2024

Viewed by 5940

Abstract

The COVID-19 pandemic has brought attention to the long-term consequences of the virus, particularly the persistent symptoms that characterize long COVID. This syndrome, which can last for months after the initial infection, includes a range of neurological and neuropsychiatric manifestations that have significant [...] Read more.

The COVID-19 pandemic has brought attention to the long-term consequences of the virus, particularly the persistent symptoms that characterize long COVID. This syndrome, which can last for months after the initial infection, includes a range of neurological and neuropsychiatric manifestations that have significant implications for brain health and dementia research. This review explores the current understanding of long COVID’s cognitive, neurological, and psychiatric symptoms and their potential impact on brain stimulation and neuroimaging studies. It argues that researchers must adapt their study designs and screening processes to account for the confounding effects of long COVID and ensure the accuracy and reliability of their findings. To advance the understanding of this condition and its long-term effects on brain health, the review proposes a series of strategies, including the development of standardized screening tools, the investigation of underlying mechanisms, and the identification of risk factors and protective factors. It also emphasizes the importance of collaborative research efforts and international data sharing platforms in accelerating the pace of discovery and developing targeted interventions for individuals with long COVID. As the prevalence of this condition continues to grow, it is imperative that the neuroscience community comes together to address this challenge and support those affected by long COVID. Full article

(This article belongs to the Special Issue Advances in Research on Brain Health and Dementia: Prevention and Early Detection of Cognitive Decline and Dementia: Series II)

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25 pages, 1281 KiB

Open AccessEditor’s ChoiceReview

Role of Glial Cells in Neuronal Function, Mood Disorders, and Drug Addiction

by Yousef Tizabi, Bruk Getachew, Sheketha R. Hauser, Vassiliy Tsytsarev, Alex C. Manhães and Victor Diogenes Amaral da Silva

Brain Sci. 2024, 14(6), 558; https://doi.org/10.3390/brainsci14060558 - 30 May 2024

Cited by 7 | Viewed by 2005

Abstract

Mood disorders and substance use disorder (SUD) are of immense medical and social concern. Although significant progress on neuronal involvement in mood and reward circuitries has been achieved, it is only relatively recently that the role of glia in these disorders has attracted [...] Read more.

Mood disorders and substance use disorder (SUD) are of immense medical and social concern. Although significant progress on neuronal involvement in mood and reward circuitries has been achieved, it is only relatively recently that the role of glia in these disorders has attracted attention. Detailed understanding of the glial functions in these devastating diseases could offer novel interventions. Here, following a brief review of circuitries involved in mood regulation and reward perception, the specific contributions of neurotrophic factors, neuroinflammation, and gut microbiota to these diseases are highlighted. In this context, the role of specific glial cells (e.g., microglia, astroglia, oligodendrocytes, and synantocytes) on phenotypic manifestation of mood disorders or SUD are emphasized. In addition, use of this knowledge in the potential development of novel therapeutics is touched upon. Full article

(This article belongs to the Special Issue Glial Mechanisms in Psychiatric Disorders Focusing on Drug Addiction, Anxiety and Depression)

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17 pages, 2309 KiB

Open AccessEditor’s ChoiceArticle

Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents

by Albert Sufianov, Carlos Salvador Ovalle, Omar Cruz, Javier Contreras, Emir Begagić, Siddarth Kannan, Andreina Rosario Rosario, Gennady Chmutin, Garifullina Nargiza Askatovna, Jesus Lafuente, Jose Soriano Sanchez, Renat Nurmukhametov, Manuel Eduardo Soto García, Nikolay Peev, Mirza Pojskić, Gervith Reyes-Soto, Ismail Bozkurt and Manuel De Jesus Encarnación Ramírez

Brain Sci. 2024, 14(6), 547; https://doi.org/10.3390/brainsci14060547 - 27 May 2024

Cited by 6 | Viewed by 1256

Abstract

Background and Objectives: Spinal surgery, particularly for cervical pathologies such as myelopathy and radiculopathy, requires a blend of theoretical knowledge and practical skill. The complexity of these conditions, often necessitating surgical intervention, underscores the need for intricate understanding and precision in execution. Advancements [...] Read more.

Background and Objectives: Spinal surgery, particularly for cervical pathologies such as myelopathy and radiculopathy, requires a blend of theoretical knowledge and practical skill. The complexity of these conditions, often necessitating surgical intervention, underscores the need for intricate understanding and precision in execution. Advancements in neurosurgical training, especially with the use of low-cost 3D models for simulating cervical spine tumor removal, are revolutionizing this field. These models provide the realistic and hands-on experience crucial for mastering complex neurosurgical techniques, filling gaps left by traditional educational methods. Materials and Methods: This study aimed to assess the effectiveness of 3D-printed cervical vertebrae models in enhancing surgical skills, focusing on tumor removal, and involving 20 young neurosurgery residents. These models, featuring silicone materials to simulate the spinal cord and tumor tissues, provided a realistic training experience. The training protocol included a laminectomy, dural incision, and tumor resection, using a range of microsurgical tools, focusing on steps usually performed by senior surgeons. Results: The training program received high satisfaction rates, with 85% of participants extremely satisfied and 15% satisfied. The 3D models were deemed very realistic by 85% of participants, effectively replicating real-life scenarios. A total of 80% found that the simulated pathologies were varied and accurate, and 90% appreciated the models’ accurate tactile feedback. The training was extremely useful for 85% of the participants in developing surgical skills, with significant post-training confidence boosts and a strong willingness to recommend the program to peers. Conclusions: Continuing laboratory training for residents is crucial. Our model offers essential, accessible training for all hospitals, regardless of their resources, promising improved surgical quality and patient outcomes across various pathologies. Full article

(This article belongs to the Special Issue New Trends and Technologies in Modern Neurosurgery)

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17 pages, 1705 KiB

Open AccessEditor’s ChoiceReview

Nanoplastics and Neurodegeneration in ALS

by Andrew Eisen, Erik P. Pioro, Stephen A. Goutman and Matthew C. Kiernan

Brain Sci. 2024, 14(5), 471; https://doi.org/10.3390/brainsci14050471 - 7 May 2024

Cited by 1 | Viewed by 2877

Abstract

Plastic production, which exceeds one million tons per year, is of global concern. The constituent low-density polymers enable spread over large distances and micro/nano particles (MNPLs) induce organ toxicity via digestion, inhalation, and skin contact. Particles have been documented in all human tissues [...] Read more.

Plastic production, which exceeds one million tons per year, is of global concern. The constituent low-density polymers enable spread over large distances and micro/nano particles (MNPLs) induce organ toxicity via digestion, inhalation, and skin contact. Particles have been documented in all human tissues including breast milk. MNPLs, especially weathered particles, can breach the blood–brain barrier, inducing neurotoxicity. This has been documented in non-human species, and in human-induced pluripotent stem cell lines. Within the brain, MNPLs initiate an inflammatory response with pro-inflammatory cytokine production, oxidative stress with generation of reactive oxygen species, and mitochondrial dysfunction. Glutamate and GABA neurotransmitter dysfunction also ensues with alteration of excitatory/inhibitory balance in favor of reduced inhibition and resultant neuro-excitation. Inflammation and cortical hyperexcitability are key abnormalities involved in the pathogenic cascade of amyotrophic lateral sclerosis (ALS) and are intricately related to the mislocalization and aggregation of TDP-43, a hallmark of ALS. Water and many foods contain MNPLs and in humans, ingestion is the main form of exposure. Digestion of plastics within the gut can alter their properties, rendering them more toxic, and they cause gut microbiome dysbiosis and a dysfunctional gut–brain axis. This is recognized as a trigger and/or aggravating factor for ALS. ALS is associated with a long (years or decades) preclinical period and neonates and infants are exposed to MNPLs through breast milk, milk substitutes, and toys. This endangers a time of intense neurogenesis and establishment of neuronal circuitry, setting the stage for development of neurodegeneration in later life. MNPL neurotoxicity should be considered as a yet unrecognized risk factor for ALS and related diseases. Full article

(This article belongs to the Special Issue Amyotrophic Lateral Sclerosis: Recent Considerations for Diagnosis, Pathogenesis and Therapy)

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38 pages, 2703 KiB

Open AccessEditor’s ChoiceReview

Central Causation of Autism/ASDs via Excessive [Ca²⁺]i Impacting Six Mechanisms Controlling Synaptogenesis during the Perinatal Period: The Role of Electromagnetic Fields and Chemicals and the NO/ONOO(-) Cycle, as Well as Specific Mutations

by Martin L. Pall

Brain Sci. 2024, 14(5), 454; https://doi.org/10.3390/brainsci14050454 - 30 Apr 2024

Viewed by 5038

Abstract

The roles of perinatal development, intracellular calcium [Ca²⁺]i, and synaptogenesis disruption are not novel in the autism/ASD literature. The focus on six mechanisms controlling synaptogenesis, each regulated by [Ca²⁺]i, and each aberrant in ASDs is novel. The model presented [...] Read more.

The roles of perinatal development, intracellular calcium [Ca²⁺]i, and synaptogenesis disruption are not novel in the autism/ASD literature. The focus on six mechanisms controlling synaptogenesis, each regulated by [Ca²⁺]i, and each aberrant in ASDs is novel. The model presented here predicts that autism epidemic causation involves central roles of both electromagnetic fields (EMFs) and chemicals. EMFs act via voltage-gated calcium channel (VGCC) activation and [Ca²⁺]i elevation. A total of 15 autism-implicated chemical classes each act to produce [Ca²⁺]i elevation, 12 acting via NMDA receptor activation, and three acting via other mechanisms. The chronic nature of ASDs is explained via NO/ONOO(-) vicious cycle elevation and MeCP2 epigenetic dysfunction. Genetic causation often also involves [Ca²⁺]i elevation or other impacts on synaptogenesis. The literature examining each of these steps is systematically examined and found to be consistent with predictions. Approaches that may be sed for ASD prevention or treatment are discussed in connection with this special issue: The current situation and prospects for children with ASDs. Such approaches include EMF, chemical avoidance, and using nutrients and other agents to raise the levels of Nrf2. An enriched environment, vitamin D, magnesium, and omega-3s in fish oil may also be helpful. Full article

(This article belongs to the Special Issue Children with Autism Spectrum Disorders: Current Situation and Prospects)

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25 pages, 770 KiB

Open AccessEditor’s ChoiceSystematic Review

Combination of Two Long-Acting Antipsychotics in Schizophrenia Spectrum Disorders: A Systematic Review

by Salvatore Cipolla, Pierluigi Catapano, Daniela D’Amico, Rocchina Monda, Nunzia Paola Sallusto, Francesco Perris, Valeria De Santis, Francesco Catapano, Mario Luciano and Andrea Fiorillo

Brain Sci. 2024, 14(5), 433; https://doi.org/10.3390/brainsci14050433 - 26 Apr 2024

Viewed by 2739

Abstract

Background: Up to 34% of patients with schizophrenia are resistant to several treatment trials. Lack of continuous and adequate treatment is associated with relapse, rehospitalization, a lower effect of antipsychotic therapy, and higher risk of side effects. Long-acting injectables antipsychotics (LAI APs) enhance [...] Read more.

Background: Up to 34% of patients with schizophrenia are resistant to several treatment trials. Lack of continuous and adequate treatment is associated with relapse, rehospitalization, a lower effect of antipsychotic therapy, and higher risk of side effects. Long-acting injectables antipsychotics (LAI APs) enhance compliance and improve clinical outcomes and quality of life in patients with schizophrenia, and thus it may be advisable to administer two LAI APs at the same time in cases of treatment-resistant schizophrenia. The purpose of this review is to summarize the available literature regarding the combined use of two LAI APs in patients with schizophrenia or other psychotic spectrum disorders. Methods: An extensive literature search for relevant articles regarding any combination of two long-acting injectable antipsychotics has been performed from inception up to 9 February 2024, on PubMed, Scopus and APA PsycInfo, according to the PRISMA statement. Only studies reporting combination of two LAI APs and its clinical outcome in patients with schizophrenia and related disorders were selected. Results: After the selection process, nine case reports, four case series and two observational retrospective studies were included in the final analysis. All patients treated with dual LAI APs reported a good response, and no new or unexpected adverse effects due to the combination of two LAIs were reported. Different drug combinations were used, and the most frequent association resulted in aripiprazole monohydrate + paliperidone palmitate once monthly (32 times). Conclusions: Our review highlights that the treatment regimen with two concurrent LAI APs is already widely used in clinical practice and is recognized as providing a promising, effective, and relatively safe therapeutic strategy for treating the schizophrenia spectrum disorders. Full article

(This article belongs to the Special Issue The Advantages of Combining Therapies in Treating Psychiatric Patients)

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23 pages, 1454 KiB

Open AccessEditor’s ChoiceReview

Neuropsychopharmacological Induction of (Lucid) Dreams: A Narrative Review

by Abel A. Oldoni, André D. Bacchi, Fúlvio R. Mendes, Paula A. Tiba and Sérgio Mota-Rolim

Brain Sci. 2024, 14(5), 426; https://doi.org/10.3390/brainsci14050426 - 25 Apr 2024

Cited by 2 | Viewed by 3988

Abstract

Lucid dreaming (LD) is a physiological state of consciousness that occurs when dreamers become aware that they are dreaming, and may also control the oneiric content. In the general population, LD is spontaneously rare; thus, there is great interest in its induction. Here, [...] Read more.

Lucid dreaming (LD) is a physiological state of consciousness that occurs when dreamers become aware that they are dreaming, and may also control the oneiric content. In the general population, LD is spontaneously rare; thus, there is great interest in its induction. Here, we aim to review the literature on neuropsychopharmacological induction of LD. First, we describe the circadian and homeostatic processes of sleep regulation and the mechanisms that control REM sleep with a focus on neurotransmission systems. We then discuss the neurophysiology and phenomenology of LD to understand the main cortical oscillations and brain areas involved in the emergence of lucidity during REM sleep. Finally, we review possible exogenous substances—including natural plants and artificial drugs—that increase metacognition, REM sleep, and/or dream recall, thus with the potential to induce LD. We found that the main candidates are substances that increase cholinergic and/or dopaminergic transmission, such as galantamine. However, the main limitation of this technique is the complexity of these neurotransmitter systems, which challenges interpreting results in a simple way. We conclude that, despite these promising substances, more research is necessary to find a reliable way to pharmacologically induce LD. Full article

(This article belongs to the Special Issue Recent Advances in Dreaming and Sleep-Related Metacognitions)

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18 pages, 2789 KiB

Open AccessEditor’s ChoiceArticle

What Does It Take to Play the Piano? Cognito-Motor Functions Underlying Motor Learning in Older Adults

by Florian Worschech, Edoardo Passarotto, Hannah Losch, Takanori Oku, André Lee and Eckart Altenmüller

Brain Sci. 2024, 14(4), 405; https://doi.org/10.3390/brainsci14040405 - 20 Apr 2024

Viewed by 2686

Abstract

The acquisition of skills, such as learning to play a musical instrument, involves various phases that make specific demands on the learner. Knowledge of the cognitive and motor contributions during learning phases can be helpful in developing effective and targeted interventions for healthy [...] Read more.

The acquisition of skills, such as learning to play a musical instrument, involves various phases that make specific demands on the learner. Knowledge of the cognitive and motor contributions during learning phases can be helpful in developing effective and targeted interventions for healthy aging. Eighty-six healthy older participants underwent an extensive cognitive, motoric, and musical test battery. Within one session, one piano-related and one music-independent movement sequence were both learned. We tested the associations between skill performance and cognito-motor abilities with Bayesian mixed models accounting for individual learning rates. Results showed that performance was positively associated with all cognito-motor abilities. Learning a piano-related task was characterized by relatively strong initial associations between performance and abilities. These associations then weakened considerably before increasing exponentially from the second trial onwards, approaching a plateau. Similar performance–ability relationships were detected in the course of learning a music-unrelated motor task. Positive performance–ability associations emphasize the potential of learning new skills to produce positive cognitive and motor transfer effects. Consistent high-performance tasks that demand maximum effort from the participants could be very effective. However, interventions should be sufficiently long so that the transfer potential can be fully exploited. Full article

(This article belongs to the Special Issue Exploring the Role of Music in Cognitive Processes)

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24 pages, 1885 KiB

Open AccessEditor’s ChoiceReview

The Necessity of Taking Culture and Context into Account When Studying the Relationship between Socioeconomic Status and Brain Development

by Julie M. Schneider, Mohammad Hossein Behboudi and Mandy J. Maguire

Brain Sci. 2024, 14(4), 392; https://doi.org/10.3390/brainsci14040392 - 18 Apr 2024

Cited by 1 | Viewed by 3383

Abstract

Decades of research has revealed a relationship between childhood socioeconomic status (SES) and brain development at the structural and functional levels. Of particular note is the distinction between income and maternal education, two highly correlated factors which seem to influence brain development through [...] Read more.

Decades of research has revealed a relationship between childhood socioeconomic status (SES) and brain development at the structural and functional levels. Of particular note is the distinction between income and maternal education, two highly correlated factors which seem to influence brain development through distinct pathways. Specifically, while a families’ income-to-needs ratio is linked with physiological stress and household chaos, caregiver education influences the day-to-day language environment a child is exposed to. Variability in either one of these environmental experiences is related to subsequent brain development. While this work has the potential to inform public policies in a way that benefits children, it can also oversimplify complex factors, unjustly blame low-SES parents, and perpetuate a harmful deficit perspective. To counteract these shortcomings, researchers must consider sociodemographic differences in the broader cultural context that underlie SES-based differences in brain development. This review aims to address these issues by (a) identifying how sociodemographic mechanisms associated with SES influence the day-to-day experiences of children, in turn, impacting brain development, while (b) considering the broader cultural contexts that may differentially impact this relationship. Full article

(This article belongs to the Special Issue Human Brain Responses and Functional Brain Networks across the Lifespan)

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18 pages, 306 KiB

Open AccessEditor’s ChoiceReview

AI and Aphasia in the Digital Age: A Critical Review

by Adam John Privitera, Siew Hiang Sally Ng, Anthony Pak-Hin Kong and Brendan Stuart Weekes

Brain Sci. 2024, 14(4), 383; https://doi.org/10.3390/brainsci14040383 - 16 Apr 2024

Cited by 2 | Viewed by 4391

Abstract

Aphasiology has a long and rich tradition of contributing to understanding how culture, language, and social environment contribute to brain development and function. Recent breakthroughs in AI can transform the role of aphasiology in the digital age by leveraging speech data in all [...] Read more.

Aphasiology has a long and rich tradition of contributing to understanding how culture, language, and social environment contribute to brain development and function. Recent breakthroughs in AI can transform the role of aphasiology in the digital age by leveraging speech data in all languages to model how damage to specific brain regions impacts linguistic universals such as grammar. These tools, including generative AI (ChatGPT) and natural language processing (NLP) models, could also inform practitioners working with clinical populations in the assessment and treatment of aphasia using AI-based interventions such as personalized therapy and adaptive platforms. Although these possibilities have generated enthusiasm in aphasiology, a rigorous interrogation of their limitations is necessary before AI is integrated into practice. We explain the history and first principles of reciprocity between AI and aphasiology, highlighting how lesioning neural networks opened the black box of cognitive neurolinguistic processing. We then argue that when more data from aphasia across languages become digitized and available online, deep learning will reveal hitherto unreported patterns of language processing of theoretical interest for aphasiologists. We also anticipate some problems using AI, including language biases, cultural, ethical, and scientific limitations, a misrepresentation of marginalized languages, and a lack of rigorous validation of tools. However, as these challenges are met with better governance, AI could have an equitable impact. Full article

(This article belongs to the Special Issue The Impact of Language(s), Social Environment and Culture on Brain Development and Function)

24 pages, 1687 KiB

Open AccessEditor’s ChoiceSystematic Review

Prevalence and Correlates of the Concurrence of Autism Spectrum Disorder and Obsessive Compulsive Disorder in Children and Adolescents: A Systematic Review and Meta-Analysis

by Claudia Aymerich, Malein Pacho, Ana Catalan, Noorulain Yousaf, Violeta Pérez-Rodríguez, Matthew J. Hollocks, Mara Parellada, Georgina Krebs, Bruce Clark and Gonzalo Salazar de Pablo

Brain Sci. 2024, 14(4), 379; https://doi.org/10.3390/brainsci14040379 - 13 Apr 2024

Cited by 2 | Viewed by 3864

Abstract

Background: Autism spectrum disorder (ASD) and obsessive compulsive disorder (OCD) are two common and impairing neurodevelopmental conditions with partial symptomatic overlap. The aim of this study is to systematically and meta-analytically examine the following: (i) the prevalence of an OCD diagnosis among young [...] Read more.

Background: Autism spectrum disorder (ASD) and obsessive compulsive disorder (OCD) are two common and impairing neurodevelopmental conditions with partial symptomatic overlap. The aim of this study is to systematically and meta-analytically examine the following: (i) the prevalence of an OCD diagnosis among young people with ASD, (ii) the prevalence of an ASD diagnosis among young people with OCD, and (iii) the clinical and therapeutic implications of such comorbidity. Method: A multistep literature search was performed from database inception until 17 November 2023. This PRISMA/MOOSE-compliant systematic review, registered in PROSPERO (CRD42023480543), identified studies reporting on the prevalence, sociodemographic, psychopathologic, prognostic, and therapeutic correlates of OCD and ASD concurrence in children and adolescents. A quantitative meta-analysis with random effects was conducted to analyse the pooled prevalence of OCD among samples with a mean age of < 18 years old with ASD and the prevalence of ASD among individuals under 18 with OCD. Sensitivity analyses were performed to investigate the effect of diagnostic criteria and different continents. Meta-regression analyses were conducted to examine the effect of gender, age, IQ, and OCD severity scores. A narrative review of the clinical and therapeutical implications of the comorbidity was provided. Results: 42 studies were selected for the systematic review (SR), and 31 of them were also included in one of the meta-analyses. The pooled prevalence of OCD among ASD youth samples (n = 8916, mean age = 10.6 ± 1.6; 16.4% female) was 11.6% (95% confidence intervals [CI] = 6.9%; 18.8%), and the pooled prevalence of ASD among OCD children and adolescent samples (n = 6209, mean age = 14.1 ± 1.4; 45.7% female) was 9.5% (95% CI = 6.0%; 14.7%). Meta-regressions found a statistically higher prevalence of ASD among samples with a lower prevalence of females (β = −4.7; 95%CI = −8.6; −0.8). Children with both OCD and ASD present higher rates of functional impairment, psychopathology, and other comorbidities, compared to youth with either of the disorders alone. Conclusions: OCD and ASD are highly concurrent conditions in youth, with symptomatic, prognostic, severity, and therapeutic implications. Future research should focus on conducting longitudinal cohort studies prospectively to determine development trajectories, along with randomized controlled trials to assess the efficacy of specific therapeutic interventions. Full article

(This article belongs to the Special Issue The Evolutionary and Developmental Pathways of Obsessive Compulsive Rituals in Psychopathology)

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12 pages, 226 KiB

Open AccessEditor’s ChoiceReview

Exploring the Role of Conscious and Unconscious Processes in Hypnosis: A Theoretical Review

by Gavriel Knafo and Joel Weinberger

Brain Sci. 2024, 14(4), 374; https://doi.org/10.3390/brainsci14040374 - 12 Apr 2024

Cited by 1 | Viewed by 3352

Abstract

This review provided a comprehensive examination of various theories that attempt to explain hypnosis, focusing on the interplay between conscious and unconscious processes. We conducted a thorough analysis of key theories, from historical origins to recent models centered on cognition, social factors, and [...] Read more.

This review provided a comprehensive examination of various theories that attempt to explain hypnosis, focusing on the interplay between conscious and unconscious processes. We conducted a thorough analysis of key theories, from historical origins to recent models centered on cognition, social factors, and attributions. A central theme emerged: the critical role of the unconscious as a “gatekeeper” that modulates and guides the hypnotic experience. This notion appears in various forms across many theories, with the unconscious actively shaping and regulating the flow of information between conscious and unconscious realms during hypnosis. Understanding this dynamic interplay is crucial for comprehending the complex nature of hypnosis. The synthesized view of the unconscious as a “gatekeeper” offers a framework for integrating insights from diverse perspectives and highlights the centrality of unconscious processes in shaping hypnotic phenomena. Future research should further investigate the mechanisms of this unconscious “gatekeeper” role and its impact on hypnosis. Full article

(This article belongs to the Special Issue Hypnotizability and Hypnosis: Basic and Clinical Science)

14 pages, 871 KiB

Open AccessEditor’s ChoiceArticle

Repeated Bilateral Transcranial Direct Current Stimulation over Auditory Cortex for Tinnitus Treatment: A Double-Blinded Randomized Controlled Clinical Trial

by Ali Yadollahpour, Samaneh Rashidi, Nader Saki, Pramod Singh Kunwar and Miguel Mayo-Yáñez

Brain Sci. 2024, 14(4), 373; https://doi.org/10.3390/brainsci14040373 - 12 Apr 2024

Viewed by 3834

Abstract

Transcranial direct current stimulation (tDCS) is a non-invasive and painless technique of brain neuromodulation that applies a low-intensity galvanic current to the scalp with the aim of stimulating specific areas of the brain. Preliminary investigations have indicated the potential therapeutic efficacy of multisession [...] Read more.

Transcranial direct current stimulation (tDCS) is a non-invasive and painless technique of brain neuromodulation that applies a low-intensity galvanic current to the scalp with the aim of stimulating specific areas of the brain. Preliminary investigations have indicated the potential therapeutic efficacy of multisession tDCS applied to the auditory cortex (AC) in the treatment of chronic tinnitus. The aim of this study was to explore the therapeutic effects of repeated sessions of bilateral tDCS targeting the AC on chronic tinnitus. A double-blinded randomized placebo-controlled trial was conducted on patients (n = 48) with chronic intractable tinnitus (>2 years duration). Participants were randomly allocated to two groups: one receiving tDCS (n = 26), with the anode/cathode placed over the left/right AC, and the other receiving a placebo treatment (n = 22). A 20 min daily session of 2 mA current was administered for five consecutive days per week over two consecutive weeks, employing 35 cm² electrodes. Tinnitus handicap inventory (THI) scores, tinnitus loudness, and tinnitus distress were measured using a visual analogue scale (VAS), and were assessed before intervention, immediately after, and at one-month follow-up. Anodal tDCS significantly reduced THI from 72.93 ± 10.11 score to 46.40 ± 15.36 after the last session and 49.68 ± 14.49 at one-month follow-up in 18 out of 25 participants (p < 0.001). The risk ratio (RR) of presenting an improvement of ≥20 points in the THI after the last session was 10.8 in patients treated with tDCS. Statistically significant reductions were observed in distress VAS and loudness VAS (p < 0.001). No statistically significant differences in the control group were observed. Variables such as age, gender, duration of tinnitus, laterality of tinnitus, baseline THI scores, and baseline distress and loudness VAS scores did not demonstrate significant correlations with treatment response. Repeated sessions of bilateral AC tDCS may potentially serve as a therapeutic modality for chronic tinnitus. Full article

(This article belongs to the Special Issue Computational Methods in Neuroimaging: Advances and Challenges)

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9 pages, 1473 KiB

Open AccessEditor’s ChoiceArticle

Selective Vestibular Neurectomy through the Presigmoid Retrolabyrinthine Approach in the Treatment of Meniere’s Disease

by Fabrizio Salvinelli, Francesca Bonifacio, Mara Capece, Denis Aiudi, Alessio Iacoangeli, Fabio Greco, Maurizio Gladi and Maurizio Iacoangeli

Brain Sci. 2024, 14(4), 369; https://doi.org/10.3390/brainsci14040369 - 11 Apr 2024

Cited by 1 | Viewed by 3623

Abstract

Background: Meniere’s disease (MD) is a disabling disease, especially in patients who are refractory to medical therapy. Moreover, selective vestibular neurectomy (VN), in these selected cases, can be considered a surgical alternative which preserves hearing function and facial nerve. Methods: We retrospectively studied [...] Read more.

Background: Meniere’s disease (MD) is a disabling disease, especially in patients who are refractory to medical therapy. Moreover, selective vestibular neurectomy (VN), in these selected cases, can be considered a surgical alternative which preserves hearing function and facial nerve. Methods: We retrospectively studied 23 patients with MD diagnosis and history of failed extradural endolymphatic sac surgery (ELSS) who underwent combined micro-endoscopic selective VN, between January 2019 and August 2023, via a presigmoid retrolabyrinthine approach. All patients were stratified according to clinical features, assessing preoperative and postoperative hearing levels and quality of life. Results: At the maximum present follow-up of 2 years, this procedure is characterized by a low rate of complications and about 90% vertigo control after surgery. No definitive facial palsy or hearing loss was described in this series. One patient required reintervention for a CSF fistula. Statistically significant (p = 0.001) difference was found between the preoperative and the postoperative performance in terms of physical, functional, and emotive scales assessed via the DHI questionnaire. Conclusions: Selective VN via a presigmoid retrolabyrinthine approach is a safe procedure for intractable vertigo associated with MD, when residual hearing function still exists. The use of the endoscope and intraoperative neuromonitoring guaranteed a precise result, saving the cochlear fibers and facial nerve. The approach for VN is a familiar procedure to the otolaryngologist, as is lateral skull base anatomy to the neurosurgeon; therefore, the best results are obtained with multidisciplinary teamwork. Full article

(This article belongs to the Special Issue New Advances in Functional Neurosurgery)

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51 pages, 775 KiB

Open AccessEditor’s ChoiceSystematic Review

Review of EEG Affective Recognition with a Neuroscience Perspective

by Rosary Yuting Lim, Wai-Cheong Lincoln Lew and Kai Keng Ang

Brain Sci. 2024, 14(4), 364; https://doi.org/10.3390/brainsci14040364 - 8 Apr 2024

Cited by 3 | Viewed by 3472

Abstract

Emotions are a series of subconscious, fleeting, and sometimes elusive manifestations of the human innate system. They play crucial roles in everyday life—influencing the way we evaluate ourselves, our surroundings, and how we interact with our world. To date, there has been an [...] Read more.

Emotions are a series of subconscious, fleeting, and sometimes elusive manifestations of the human innate system. They play crucial roles in everyday life—influencing the way we evaluate ourselves, our surroundings, and how we interact with our world. To date, there has been an abundance of research on the domains of neuroscience and affective computing, with experimental evidence and neural network models, respectively, to elucidate the neural circuitry involved in and neural correlates for emotion recognition. Recent advances in affective computing neural network models often relate closely to evidence and perspectives gathered from neuroscience to explain the models. Specifically, there has been growing interest in the area of EEG-based emotion recognition to adopt models based on the neural underpinnings of the processing, generation, and subsequent collection of EEG data. In this respect, our review focuses on providing neuroscientific evidence and perspectives to discuss how emotions potentially come forth as the product of neural activities occurring at the level of subcortical structures within the brain’s emotional circuitry and the association with current affective computing models in recognizing emotions. Furthermore, we discuss whether such biologically inspired modeling is the solution to advance the field in EEG-based emotion recognition and beyond. Full article

(This article belongs to the Special Issue Emerging Trends of Biomedical Signal Processing in Intelligent Emotion Recognition)

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20 pages, 1559 KiB

Open AccessEditor’s ChoiceSystematic Review

by Riccardo Bortoletto, Anna Candolo, Alessandra Nicotra, Luana Saetti, Laura Perini, Matteo Balestrieri, Marco Colizzi and Carla Comacchio

Brain Sci. 2024, 14(4), 362; https://doi.org/10.3390/brainsci14040362 - 6 Apr 2024

Viewed by 2428

Abstract

Dandy–Walker complex (DWC) consists of a continuum of brain malformations involving the posterior fossa, often leading to psychiatric manifestations during adulthood. We discussed the case of a young woman with Dandy–Walker variant (DWV) and a comorbid complex neuropsychiatric presentation, who was diagnosed with [...] Read more.

Dandy–Walker complex (DWC) consists of a continuum of brain malformations involving the posterior fossa, often leading to psychiatric manifestations during adulthood. We discussed the case of a young woman with Dandy–Walker variant (DWV) and a comorbid complex neuropsychiatric presentation, who was diagnosed with an eating disorder, obsessive–compulsive disorder, and a tic disorder. Afterwards, we conducted a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020-compliant systematic review reappraising all evidence of psychiatric outcomes in adults with DWC. Overall, 34 studies were eligible for data extraction, comprising 36 patients. Psychiatric profiles were more common among young adult males, with DWC lesions, especially DWV subtype, being often discovered incidentally after admission to mental health inpatient facilities. Most patients were diagnosed with psychosis and bipolar disorder, often comorbid with cognitive impairment. Psychotropic polypharmacy was frequently prescribed, generally leading to complete recovery. Evidence from our case report and systematic review indicates the importance of monitoring long-term psychiatric sequelae among adult patients with DWC malformations. Full article

(This article belongs to the Special Issue Understanding the Link between Neurological and Mental Health: Recent Advances in Neuropsychiatry)

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25 pages, 594 KiB

Open AccessEditor’s ChoiceReview

The Effect of Antipsychotics on Cognition in Schizophrenia—A Current Narrative Review

by Petru Fabian Lungu, Corina Miruna Lungu, Alin Ciobica, Ioana Miruna Balmus, Raluca Vitalaru, Ioannis Mavroudis, Romeo Dobrin, Mirela Cimpeanu and Irina Luciana Gurzu

Brain Sci. 2024, 14(4), 359; https://doi.org/10.3390/brainsci14040359 - 3 Apr 2024

Cited by 1 | Viewed by 2793

Abstract

The majority of schizophrenia-affected individuals display deficiencies in multiple cognitive domains such as attention, working memory, long-term memory, and learning, deficiencies that are stable throughout the disease. The purpose of this narrative review was to examine the effect of antipsychotics on several cognitive [...] Read more.

The majority of schizophrenia-affected individuals display deficiencies in multiple cognitive domains such as attention, working memory, long-term memory, and learning, deficiencies that are stable throughout the disease. The purpose of this narrative review was to examine the effect of antipsychotics on several cognitive domains affected by schizophrenia. Methods: We searched MEDLINE, Elsevier, Scopus, and DOAJ databases for randomized controlled trials and other studies investigating the effects of typical and atypical antipsychotics on cognition in patients with schizophrenia in studies conducted in the last decade. Results: The majority of studies included in this review showed that antipsychotics (especially SGAs) have positive effects on both cognition and general psychopathology of schizophrenia. We mention that treatment with antipsychotic substances represents an ongoing effort of the researchers, who are constantly searching for the best approach to meet the mental health needs of schizophrenia patients. Conclusions: Even with those positive results, it should be noted that more studies are needed in order to fully observe the various effects of certain antipsychotic substances on cognition. Full article

(This article belongs to the Special Issue Cognitive Impairment in Neuropsychiatry)

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14 pages, 1378 KiB

Open AccessEditor’s ChoiceArticle

Use of Prescribed and Non-Prescribed Treatments for Cluster Headache in a Swedish Cohort

by Gabriella Smedfors, Felicia Jennysdotter Olofsgård, Anna Steinberg, Elisabet Waldenlind, Caroline Ran and Andrea Carmine Belin

Brain Sci. 2024, 14(4), 348; https://doi.org/10.3390/brainsci14040348 - 31 Mar 2024

Cited by 1 | Viewed by 3622

Abstract

Background: Cluster headache (CH) is a debilitating condition, but current therapies leave CH patients in pain. The extent of this problem in Sweden is unknown. Methods: An anonymized questionnaire was sent to 479 Swedish CH patients to investigate patterns and perceived effects of [...] Read more.

Background: Cluster headache (CH) is a debilitating condition, but current therapies leave CH patients in pain. The extent of this problem in Sweden is unknown. Methods: An anonymized questionnaire was sent to 479 Swedish CH patients to investigate patterns and perceived effects of treatments. Results: Three hundred fourteen answers were analyzed. The population was representative regarding age of onset and sex. Less than half (46%) were satisfied with their abortive treatments, 19% terminated functioning abortive treatments due to side effects. Additionally, 17% of chronic CH patients had not tried the first-line preventive drug verapamil. A small subset had tried illicit substances to treat their CH (0–8% depending on substance). Notably, psilocybin was reported effective as an abortive treatment by 100% (n = 8), and with some level of effect as a preventive treatment by 92% (n = 12). For verapamil, some level of preventive effect was reported among 68% (n = 85). Conclusions: Our descriptive data illustrate that many Swedish CH patients are undertreated, lack functional therapies, and experience side effects. Further studies are warranted to search for new treatment strategies as well as a revision of current treatment guidelines with the aim of reducing patient disease burden to the greatest extent possible. Full article

(This article belongs to the Section Neuroscience of Pain)

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33 pages, 454 KiB

Open AccessEditor’s ChoiceReview

Behavioral and Psychiatric Disorders in Syndromic Autism

by Ann C. Genovese and Merlin G. Butler

Brain Sci. 2024, 14(4), 343; https://doi.org/10.3390/brainsci14040343 - 30 Mar 2024

Cited by 1 | Viewed by 4024

Abstract

Syndromic autism refers to autism spectrum disorder diagnosed in the context of a known genetic syndrome. The specific manifestations of any one of these syndromic autisms are related to a clinically defined genetic syndrome that can be traced to certain genes and variants, [...] Read more.

Syndromic autism refers to autism spectrum disorder diagnosed in the context of a known genetic syndrome. The specific manifestations of any one of these syndromic autisms are related to a clinically defined genetic syndrome that can be traced to certain genes and variants, genetic deletions, or duplications at the chromosome level. The genetic mutations or defects in single genes associated with these genetic disorders result in a significant elevation of risk for developing autism relative to the general population and are related to recurrence with inheritance patterns. Additionally, these syndromes are associated with typical behavioral characteristics or phenotypes as well as an increased risk for specific behavioral or psychiatric disorders and clinical findings. Knowledge of these associations helps guide clinicians in identifying potentially treatable conditions that can help to improve the lives of affected patients and their families. Full article

(This article belongs to the Section Psychiatric Diseases)

27 pages, 5230 KiB

Open AccessEditor’s ChoiceArticle

A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults

by Utkarsh Lal, Arjun Vinayak Chikkankod and Luca Longo

Brain Sci. 2024, 14(4), 335; https://doi.org/10.3390/brainsci14040335 - 29 Mar 2024

Cited by 5 | Viewed by 1873

Abstract

Early-stage Alzheimer’s disease (AD) and frontotemporal dementia (FTD) share similar symptoms, complicating their diagnosis and the development of specific treatment strategies. Our study evaluated multiple feature extraction techniques for identifying AD and FTD biomarkers from electroencephalographic (EEG) signals. We developed an optimised machine [...] Read more.

Early-stage Alzheimer’s disease (AD) and frontotemporal dementia (FTD) share similar symptoms, complicating their diagnosis and the development of specific treatment strategies. Our study evaluated multiple feature extraction techniques for identifying AD and FTD biomarkers from electroencephalographic (EEG) signals. We developed an optimised machine learning architecture that integrates sliding windowing, feature extraction, and supervised learning to distinguish between AD and FTD patients, as well as from healthy controls (HCs). Our model, with a 90% overlap for sliding windowing, SVD entropy for feature extraction, and K-Nearest Neighbors (KNN) for supervised learning, achieved a mean F1-score and accuracy of 93% and 91%, 92.5% and 93%, and 91.5% and 91% for discriminating AD and HC, FTD and HC, and AD and FTD, respectively. The feature importance array, an explainable AI feature, highlighted the brain lobes that contributed to identifying and distinguishing AD and FTD biomarkers. This research introduces a novel framework for detecting and discriminating AD and FTD using EEG signals, addressing the need for accurate early-stage diagnostics. Furthermore, a comparative evaluation of sliding windowing, multiple feature extraction, and machine learning methods on AD/FTD detection and discrimination is documented. Full article

(This article belongs to the Special Issue Deep into the Brain: Artificial Intelligence in Brain Diseases)

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16 pages, 3107 KiB

Open AccessEditor’s ChoiceReview

The Interplay between Glioblastoma Cells and Tumor Microenvironment: New Perspectives for Early Diagnosis and Targeted Cancer Therapy

by Assunta Virtuoso, Giuseppa D’Amico, Federica Scalia, Ciro De Luca, Michele Papa, Grazia Maugeri, Velia D’Agata, Celeste Caruso Bavisotto and Agata Grazia D’Amico

Brain Sci. 2024, 14(4), 331; https://doi.org/10.3390/brainsci14040331 - 29 Mar 2024

Cited by 5 | Viewed by 2179

Abstract

Glioblastoma multiforme (GBM) stands out as the most tremendous brain tumor, constituting 60% of primary brain cancers, accompanied by dismal survival rates. Despite advancements in research, therapeutic options remain limited to chemotherapy and surgery. GBM molecular heterogeneity, the intricate interaction with the tumor [...] Read more.

Glioblastoma multiforme (GBM) stands out as the most tremendous brain tumor, constituting 60% of primary brain cancers, accompanied by dismal survival rates. Despite advancements in research, therapeutic options remain limited to chemotherapy and surgery. GBM molecular heterogeneity, the intricate interaction with the tumor microenvironment (TME), and non-selective treatments contribute to the neoplastic relapse. Diagnostic challenges arise from GBM advanced-stage detection, necessitating the exploration of novel biomarkers for early diagnosis. Using data from the literature and a bioinformatic tool, the current manuscript delineates the molecular interplay between human GBM, astrocytes, and myeloid cells, underscoring selected protein pathways belonging to astroglia and myeloid lineage, which can be considered for targeted therapies. Moreover, the pivotal role of extracellular vesicles (EVs) in orchestrating a favorable microenvironment for cancer progression is highlighted, suggesting their utility in identifying biomarkers for GBM early diagnosis. Full article

(This article belongs to the Section Molecular and Cellular Neuroscience)

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18 pages, 769 KiB

Open AccessEditor’s ChoiceReview

Synthetic Cathinones: Epidemiology, Toxicity, Potential for Abuse, and Current Public Health Perspective

by Shanshan Chen, Wenhua Zhou and Miaojun Lai

Brain Sci. 2024, 14(4), 334; https://doi.org/10.3390/brainsci14040334 - 29 Mar 2024

Cited by 2 | Viewed by 3911

Abstract

Synthetic cathinones, derived from cathinone found in the plant Catha edulis, represent the second largest and most frequently seized group of new psychoactive substances. They are considered as β-keto analogs of amphetamine, sharing pharmacological effects with amphetamine and cocaine. This review describes the [...] Read more.

Synthetic cathinones, derived from cathinone found in the plant Catha edulis, represent the second largest and most frequently seized group of new psychoactive substances. They are considered as β-keto analogs of amphetamine, sharing pharmacological effects with amphetamine and cocaine. This review describes the neurotoxic properties of synthetic cathinones, encompassing their capacity to induce neuroinflammation, dysregulate neurotransmitter systems, and alter monoamine transporters and receptors. Additionally, it discusses the rewarding and abuse potential of synthetic cathinones drawing from findings obtained through various preclinical animal models, contextualized with other classical psychostimulants. The review also offers an overview of current abuse trends of synthetic cathinones on the illicit drug market, specifying the aspects covered, and underscores the risks they pose to public health. Finally, the review discusses public health initiatives and efforts to reduce the hazards of synthetic cathinones, including harm reduction methods, education, and current clinical management strategies. Full article

(This article belongs to the Special Issue Abuse Liability and Toxic Potential of Synthetic Psychoactive Cathinones)

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21 pages, 324 KiB

Open AccessEditor’s ChoiceReview

Principles for Adapting Assessments of Executive Function across Cultural Contexts

by Matthew C. H. Jukes, Ishita Ahmed, Sara Baker, Catherine E. Draper, Steven J. Howard, Dana Charles McCoy, Jelena Obradović and Sharon Wolf

Brain Sci. 2024, 14(4), 318; https://doi.org/10.3390/brainsci14040318 - 27 Mar 2024

Cited by 4 | Viewed by 2881

Abstract

Direct assessments of executive functions (EFs) are increasingly used in research and clinical settings, with a central assumption that they assess “universal” underlying skills. Their use is spreading globally, raising questions about the cultural appropriateness of assessments devised in Western industrialized countries. We [...] Read more.

Direct assessments of executive functions (EFs) are increasingly used in research and clinical settings, with a central assumption that they assess “universal” underlying skills. Their use is spreading globally, raising questions about the cultural appropriateness of assessments devised in Western industrialized countries. We selectively reviewed multidisciplinary evidence and theory to identify sets of cultural preferences that may be at odds with the implicit assumptions of EF assessments. These preferences relate to motivation and compliance; cultural expectations for interpersonal engagement; contextualized vs. academic thinking; cultural notions of speed and time; the willingness to be silly, be incorrect, or do the opposite; and subject-matter familiarity. In each case, we discuss how the cultural preference may be incompatible with the assumptions of assessments, and how future research and practice can address the issue. Many of the cultural preferences discussed differ between interdependent and independent cultures and between schooled and unschooled populations. Adapting testing protocols to these cultural preferences in different contexts will be important for expanding our scientific understanding of EF from the narrow slice of the human population that has participated in the research to date. Full article

(This article belongs to the Special Issue Executive Functioning Development—Measurements and Promotion in Naturalistic Setups)

28 pages, 835 KiB

Open AccessEditor’s ChoiceReview

The Effectiveness of Mindfulness in the Treatment of Methamphetamine Addiction Symptoms: Does Neuroplasticity Play a Role?

by James Chmiel, Agnieszka Malinowska, Filip Rybakowski and Jerzy Leszek

Brain Sci. 2024, 14(4), 320; https://doi.org/10.3390/brainsci14040320 - 27 Mar 2024

Viewed by 2793

Abstract

Introduction: Methamphetamine is a highly stimulating psychoactive drug that causes life-threatening addictions and affects millions of people around the world. Its effects on the brain are complex and include disturbances in the neurotransmitter systems and neurotoxicity. There are several known treatment methods, but [...] Read more.

Introduction: Methamphetamine is a highly stimulating psychoactive drug that causes life-threatening addictions and affects millions of people around the world. Its effects on the brain are complex and include disturbances in the neurotransmitter systems and neurotoxicity. There are several known treatment methods, but their effectiveness is moderate. It must be emphasised that no drugs have been approved for treatment. For this reason, there is an urgent need to develop new, effective, and safe treatments for methamphetamine. One of the potential treatments is mindfulness meditation. In recent years, this technique has been researched extensively in the context of many neurological and psychiatric disorders. Methods: This review explores the use of mindfulness in the treatment of methamphetamine addiction. Searches were conducted in the PubMed/Medline, Research Gate, and Cochrane databases. Results: Ten studies were identified that used mindfulness-based interventions in the treatment of methamphetamine addiction. The results show that mindfulness is an effective form of reducing hunger, risk of relapses, stress indicators, depression, and aggression, alone or in combination with transcranial direct current stimulation (tDCS). Mindfulness also improved the cognitive function in addicts. The included studies used only behavioural measures. The potential mechanisms of mindfulness in addiction were explained, and it was proposed that it can induce neuroplasticity, alleviating the symptoms of addiction. Conclusions: Evidence from the studies suggest that mindfulness may be an effective treatment option for methamphetamine addiction, used alone or in combination with tDCS. However, further high-quality research is required to establish the role of this treatment option in this field. The use of neuroimaging and neurophysiological measures is fundamental to understand the mechanisms of mindfulness. Full article

(This article belongs to the Special Issue Clinical Research on Addiction Psychiatry: Opportunities and Challenges)

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25 pages, 1385 KiB

Open AccessEditor’s ChoiceReview

Deciphering Post-Stroke Sleep Disorders: Unveiling Neurological Mechanisms in the Realm of Brain Science

by Pinqiu Chen, Wenyan Wang, Weikang Ban, Kecan Zhang, Yanan Dai, Zhihong Yang and Yuyang You

Brain Sci. 2024, 14(4), 307; https://doi.org/10.3390/brainsci14040307 - 25 Mar 2024

Viewed by 2816

Abstract

Sleep disorders are the most widespread mental disorders after stroke and hurt survivors’ functional prognosis, response to restoration, and quality of life. This review will address an overview of the progress of research on the biological mechanisms associated with stroke-complicating sleep disorders. Extensive [...] Read more.

Sleep disorders are the most widespread mental disorders after stroke and hurt survivors’ functional prognosis, response to restoration, and quality of life. This review will address an overview of the progress of research on the biological mechanisms associated with stroke-complicating sleep disorders. Extensive research has investigated the negative impact of stroke on sleep. However, a bidirectional association between sleep disorders and stroke exists; while stroke elevates the risk of sleep disorders, these disorders also independently contribute as a risk factor for stroke. This review aims to elucidate the mechanisms of stroke-induced sleep disorders. Possible influences were examined, including functional changes in brain regions, cerebrovascular hemodynamics, neurological deficits, sleep ion regulation, neurotransmitters, and inflammation. The results provide valuable insights into the mechanisms of stroke complicating sleep disorders. Full article

(This article belongs to the Topic Diagnosis and Management of Acute Ischemic Stroke)

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18 pages, 3679 KiB

Open AccessEditor’s ChoiceArticle

Breathing Right… or Left! The Effects of Unilateral Nostril Breathing on Psychological and Cognitive Wellbeing: A Pilot Study

by Maria Elide Vanutelli, Chiara Grigis and Claudio Lucchiari

Brain Sci. 2024, 14(4), 302; https://doi.org/10.3390/brainsci14040302 - 23 Mar 2024

Viewed by 4817

Abstract

The impact of controlled breathing on cognitive and affective processing has been recognized since ancient times, giving rise to multiple practices aimed at achieving different psychophysical states, mostly related to mental clarity and focus, stress reduction, and relaxation. Previous scientific research explored the [...] Read more.

The impact of controlled breathing on cognitive and affective processing has been recognized since ancient times, giving rise to multiple practices aimed at achieving different psychophysical states, mostly related to mental clarity and focus, stress reduction, and relaxation. Previous scientific research explored the effects of forced unilateral nostril breathing (UNB) on brain activity and emotional and cognitive functions. Some evidence concluded that it had a contralateral effect, while other studies presented controversial results, making it difficult to come to an unambiguous interpretation. Also, a few studies specifically addressed wellbeing. In the present study, we invited a pilot sample of 20 participants to take part in an 8-day training program for breathing, and each person was assigned to either a unilateral right nostril (URNB) or left nostril breathing condition (ULNB). Then, each day, we assessed the participants’ wellbeing indices using their moods and mind wandering scales. The results revealed that, after the daily practice, both groups reported improved wellbeing perception. However, the effect was specifically related to the nostril involved. URNB produced more benefits in terms of stress reduction and relaxation, while ULNB significantly and increasingly reduced mind-wandering occurrences over time. Our results suggest that UNB can be effectively used to increase wellbeing in the general population. Additionally, they support the idea that understanding the effects of unilateral breathing on wellbeing and cognition requires a complex interpretive model with multiple brain networks to address bottom-up and top-down processes. Full article

(This article belongs to the Section Neuropsychology)

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14 pages, 283 KiB

Open AccessEditor’s ChoiceReview

Cognitive Decline: Current Intervention Strategies and Integrative Therapeutic Approaches for Alzheimer’s Disease

by Kate S. Branigan and Blake T. Dotta

Brain Sci. 2024, 14(4), 298; https://doi.org/10.3390/brainsci14040298 - 22 Mar 2024

Viewed by 3208

Abstract

Alzheimer’s disease (AD) represents a pressing global health challenge, with an anticipated surge in diagnoses over the next two decades. This progressive neurodegenerative disorder unfolds gradually, with observable symptoms emerging after two decades of imperceptible brain changes. While traditional therapeutic approaches, such as [...] Read more.

Alzheimer’s disease (AD) represents a pressing global health challenge, with an anticipated surge in diagnoses over the next two decades. This progressive neurodegenerative disorder unfolds gradually, with observable symptoms emerging after two decades of imperceptible brain changes. While traditional therapeutic approaches, such as medication and cognitive therapy, remain standard in AD management, their limitations prompt exploration into novel integrative therapeutic approaches. Recent advancements in AD research focus on entraining gamma waves through innovative methods, such as light flickering and electromagnetic fields (EMF) stimulation. Flickering light stimulation (FLS) at 40 Hz has demonstrated significant reductions in AD pathologies in both mice and humans, providing improved cognitive functioning. Additionally, recent experiments have demonstrated that APOE mutations in mouse models substantially reduce tau pathologies, with microglial modulation playing a crucial role. EMFs have also been demonstrated to modulate microglia. The exploration of EMFs as a therapeutic approach is gaining significance, as many recent studies have showcased their potential to influence microglial responses. Th article concludes by speculating on the future directions of AD research, emphasizing the importance of ongoing efforts in understanding the complexities of AD pathogenesis through a holistic approach and developing interventions that hold promise for improved patient outcomes. Full article

(This article belongs to the Special Issue Reviews in Neuropsychology)

12 pages, 1099 KiB

Open AccessEditor’s ChoiceArticle

Individualised Transcranial Magnetic Stimulation Targeting of the Left Dorsolateral Prefrontal Cortex for Enhancing Cognition: A Randomised Controlled Trial

by Donel M. Martin, Yon Su, Ho Fung Chan, Victoria Dielenberg, Esther Chow, Mei Xu, Ashley Wang, Stevan Nikolin, Adriano H. Moffa and Colleen K. Loo

Brain Sci. 2024, 14(4), 299; https://doi.org/10.3390/brainsci14040299 - 22 Mar 2024

Cited by 4 | Viewed by 2044

Abstract

Repetitive transcranial magnetic stimulation (rTMS) has been demonstrated to produce cognitive enhancing effects across different neuropsychiatric disorders; however, so far, these effects have been limited. This trial investigated the efficacy of using a novel individualised approach to target the left dorsolateral prefrontal cortex [...] Read more.

Repetitive transcranial magnetic stimulation (rTMS) has been demonstrated to produce cognitive enhancing effects across different neuropsychiatric disorders; however, so far, these effects have been limited. This trial investigated the efficacy of using a novel individualised approach to target the left dorsolateral prefrontal cortex (L-DLPFC) for enhancing cognitive flexibility based on performance on a cognitive task. First, forty healthy participants had their single target site at the L-DLPFC determined based on each individual’s performance on a random letter generation task. Participants then received, in a cross-over single-blinded experimental design, a single session of intermittent theta burst stimulation (iTBS) to their individualised DLPFC target site, an active control site and sham iTBS. Following each treatment condition, participants completed the Task Switching task and Colour–Word Stroop test. There was no significant main effect of treatment condition on the primary outcome measure of switch reaction times from the Task Switching task [F = 1.16 (2, 21.6), p = 0.33] or for any of the secondary cognitive outcome measures. The current results do not support the use of our novel individualised targeting methodology for enhancing cognitive flexibility in healthy participants. Research into alternative methodological targeting approaches is required to further improve rTMS’s cognitive enhancing effects. Full article

(This article belongs to the Special Issue Brain Stimulation for Psychiatric Disorders: Emerging Evidence and New Perspectives)

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24 pages, 643 KiB

Open AccessEditor’s ChoiceReview

A Narrative Review of Current and Emerging Trends in the Treatment of Alcohol Use Disorder

by Muhammet Celik, Mark S. Gold and Brian Fuehrlein

Brain Sci. 2024, 14(3), 294; https://doi.org/10.3390/brainsci14030294 - 20 Mar 2024

Cited by 3 | Viewed by 6114

Abstract

Alcohol use disorder (AUD) is a significant contributor to morbidity and mortality in the United States. It contributes to over 140,000 annual deaths, to over 200 related diseases and health conditions globally, and accounts for 5.1% of the global disease burden. Despite its [...] Read more.

Alcohol use disorder (AUD) is a significant contributor to morbidity and mortality in the United States. It contributes to over 140,000 annual deaths, to over 200 related diseases and health conditions globally, and accounts for 5.1% of the global disease burden. Despite its substantial impact, AUD remains undertreated, marked by a scarcity of approved medications. This paper explores the current treatment landscape and novel strategies for both alcohol withdrawal syndrome and AUD. Promising results, including the use of psychedelics alongside psychotherapy, noninvasive neural-circuit-based interventions, phosphodiesterase-4 inhibitors, and GLP-1 receptor agonists, have emerged from recent studies. While these advancements show potential, further research is crucial for a comprehensive understanding of their effectiveness. The clear shortage of approved medications and other treatment modalities underscores the pressing need for ongoing research. Full article

(This article belongs to the Section Behavioral Neuroscience)

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16 pages, 279 KiB

Open AccessEditor’s ChoiceReview

Clustering Functional Magnetic Resonance Imaging Time Series in Glioblastoma Characterization: A Review of the Evolution, Applications, and Potentials

by Matteo De Simone, Giorgio Iaconetta, Giuseppina Palermo, Alessandro Fiorindi, Karl Schaller and Lucio De Maria

Brain Sci. 2024, 14(3), 296; https://doi.org/10.3390/brainsci14030296 - 20 Mar 2024

Cited by 8 | Viewed by 1884

Abstract

In this paper, we discuss how the clustering analysis technique can be applied to analyze functional magnetic resonance imaging (fMRI) time-series data in the context of glioblastoma (GBM), a highly heterogeneous brain tumor. The precise characterization of GBM is challenging and requires advanced [...] Read more.

In this paper, we discuss how the clustering analysis technique can be applied to analyze functional magnetic resonance imaging (fMRI) time-series data in the context of glioblastoma (GBM), a highly heterogeneous brain tumor. The precise characterization of GBM is challenging and requires advanced analytical approaches. We have synthesized the existing literature to provide an overview of how clustering algorithms can help identify unique patterns within the dynamics of GBM. Our review shows that the clustering of fMRI time series has great potential for improving the differentiation between various subtypes of GBM, which is pivotal for developing personalized therapeutic strategies. Moreover, this method proves to be effective in capturing temporal changes occurring in GBM, enhancing the monitoring of disease progression and response to treatment. By thoroughly examining and consolidating the current research, this paper contributes to the understanding of how clustering techniques applied to fMRI data can refine the characterization of GBM. This article emphasizes the importance of incorporating cutting-edge data analysis techniques into neuroimaging and neuro-oncology research. By providing a detailed perspective, this approach may guide future investigations and boost the development of tailored therapeutic strategies for GBM. Full article

(This article belongs to the Special Issue Perfusion and Functional MRI in Basic and Clinical Neuroscience)

17 pages, 507 KiB

Open AccessEditor’s ChoiceSystematic Review

Auditory Processing and Speech-Sound Disorders

by Konstantinos Drosos, Alexandra Papanicolaou, Louiza Voniati, Klea Panayidou and Chryssoula Thodi

Brain Sci. 2024, 14(3), 291; https://doi.org/10.3390/brainsci14030291 - 19 Mar 2024

Cited by 1 | Viewed by 4766

Abstract

Background: Speech-sound disorders (SSD) have been linked to auditory processing difficulties, and auditory processing disorders (APD) have been related to phonological awareness and literacy development. To this date, there has not been a systematic literature review investigating the results of psychophysiology and language [...] Read more.

Background: Speech-sound disorders (SSD) have been linked to auditory processing difficulties, and auditory processing disorders (APD) have been related to phonological awareness and literacy development. To this date, there has not been a systematic literature review investigating the results of psychophysiology and language assessments related to SSD and APD in children. Methods: The literature search was conducted in PubMed, Medline EBSCO, and Scopus to identify studies with children diagnosed/suspected of having APDs and SSDs. The quality of methodology in the selected articles was evaluated with the Newcastle Ottawa Scale. Results: Seven out of 378 relevant studies met the selection criteria. The findings were summarized for children with SSD and APD based on (a) metalinguistic and literacy skills, (b) cognitive abilities, and (c) temporal processing abilities. Three articles indicated that children with APD and SSD exhibit lower temporal task accuracy and reaction time. In two studies, children with SSD exhibited lower scores in discrimination, sequencing, and recall of brief stimuli in rapid succession. Conclusions: This review revealed associations between SSD severity and APD that may underline low performance in metalinguistic skills. Diagnostic assessments have been proposed based on the review to adequately identify children with SSD and APD and provide useful information for more suitable intervention. Full article

(This article belongs to the Section Neurolinguistics)

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15 pages, 2033 KiB

Open AccessEditor’s ChoiceReview

Sensory Integration: A Novel Approach for Healthy Ageing and Dementia Management

by Ongart Maneemai, Maira Cristina Cujilan Alvarado, Lina Graciela Calderon Intriago, Alicia Jeanette Donoso Triviño, Joicy Anabel Franco Coffré, Domenico Pratico, Kristof Schwartz, Tadele Tesfaye and Takao Yamasaki

Brain Sci. 2024, 14(3), 285; https://doi.org/10.3390/brainsci14030285 - 18 Mar 2024

Cited by 1 | Viewed by 4966

Abstract

Sensory processing is a fundamental aspect of the nervous system that plays a pivotal role in the cognitive decline observed in older individuals with dementia. The “sensory diet”, derived from sensory integration theory, may provide a tailored approach to modulating sensory experiences and [...] Read more.

Sensory processing is a fundamental aspect of the nervous system that plays a pivotal role in the cognitive decline observed in older individuals with dementia. The “sensory diet”, derived from sensory integration theory, may provide a tailored approach to modulating sensory experiences and triggering neuroplastic changes in the brain in individuals with dementia. Therefore, this review aimed to investigate the current knowledge regarding the sensory diet and its potential application to dementia. This review encompassed an extensive search across multiple databases, including PubMed, Google Scholar, covering articles published from 2010 to 2023. Keywords such as “sensory integration”, “sensory modulation”, “healthy aging”, and “dementia” were utilized to identify relevant studies. The types of materials retrieved included peer-reviewed articles, systematic reviews, and meta-analyses, ensuring a comprehensive overview of the current research landscape. This article offers a comprehensive exploration of the effectiveness of sensory diets such as tactile stimulation, auditory therapies, and visual interventions, which have demonstrated noteworthy efficacy in addressing challenges linked to aging and dementia. Research findings consistently report positive outcomes, such as improved cognitive function, elevated emotional well-being, and enhanced overall quality of life in older individuals. Furthermore, we found that the integration of sensory diets with the metaverse, augmented reality, and virtual reality opens up personalized experiences, fostering cognitive stimulation and emotional well-being for individuals during aging. Therefore, we conclude that customized sensory diets, based on interdisciplinary cooperation and leveraging technological advancements, are effective in optimizing sensory processing and improve the overall well-being of older individuals contending with sensory modulation challenges and dementia. Full article

(This article belongs to the Special Issue Advances in Research on Brain Health and Dementia: Prevention and Early Detection of Cognitive Decline and Dementia: Series II)

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18 pages, 1667 KiB

Open AccessEditor’s ChoiceArticle

Effects of Various Caffeine Doses on Cognitive Abilities in Female Athletes with Low Caffeine Consumption

by Houda Bougrine, Achraf Ammar, Atef Salem, Khaled Trabelsi, Haitham Jahrami, Hamdi Chtourou and Nizar Souissi

Brain Sci. 2024, 14(3), 280; https://doi.org/10.3390/brainsci14030280 - 15 Mar 2024

Cited by 3 | Viewed by 2356

Abstract

Caffeine (CAF), a prevalent psychoactive stimulant, is believed to potentially enhance cognitive ability. However, studies on the effects of various doses are limited and yield inconsistent results, particularly in female athletes. Therefore, we aimed to assess the association between three different dosages of [...] Read more.

Caffeine (CAF), a prevalent psychoactive stimulant, is believed to potentially enhance cognitive ability. However, studies on the effects of various doses are limited and yield inconsistent results, particularly in female athletes. Therefore, we aimed to assess the association between three different dosages of CAF intake (low, moderate, and high) and cognitive skills in female athletes with low CAF consumption. This study had a randomized, crossover, double-blind design in which each athlete performed four experimental sessions after ingesting either a placebo (PLAC), 3 mg·kg⁻¹ of CAF (3 mg of CAF), 6 mg·kg⁻¹ of CAF (6 mg of CAF), or 9 mg·kg⁻¹ of CAF (9 mg of CAF) with an in-between washout period of at least 72 h. Following a 60 min window post-capsule consumption, fourteen female athletes (age: 17.4 ± 0.8 years) were assessed through various cognitive tests, namely, simple reaction time (SRT), choice reaction time (CRT), and attentional task (AT) tests, along with the mental rotation test (MRT). Additionally, they were required to complete a questionnaire about the undesirable side effects of CAF. Our results indicated that, compared to those of PLAC, the SRT, CRT, and AT performance were significantly improved following the administration of both 3 mg of CAF and 6 mg of CAF. While the greatest enhancement was observed after consuming ₃ mg of _CAF, no significant differences were found between the effects of 3 mg and 6 mg of CAF. Interestingly, MRT performance did not improve with any of the CAF dosages. Moreover, the ingestion of 9 mg of CAF did not enhance cognitive skills and was linked to the highest occurrence of CAF-related side effects. In conclusion, our results highlight the recommendation for a low CAF dosage of 3 mg·kg⁻¹, in contrast to a higher dose of 6 mg·kg⁻¹ or 9 mg·kg⁻¹ of CAF, to enhance various aspects of cognitive performance in female athletes with low CAF consumption without adverse side effects. Full article

(This article belongs to the Section Nutritional Neuroscience)

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19 pages, 3456 KiB

Open AccessEditor’s ChoiceReview

Terahertz Radiation Modulates Neuronal Morphology and Dynamics Properties

by Shaoqing Ma, Peng Ding, Zhengxuan Zhou, Huilong Jin, Xiaoli Li and Yingwei Li

Brain Sci. 2024, 14(3), 279; https://doi.org/10.3390/brainsci14030279 - 14 Mar 2024

Cited by 1 | Viewed by 2652

Abstract

Terahertz radiation falls within the spectrum of hydrogen bonding, molecular rotation, and vibration, as well as van der Waals forces, indicating that many biological macromolecules exhibit a strong absorption and resonance in this frequency band. Research has shown that the terahertz radiation of [...] Read more.

Terahertz radiation falls within the spectrum of hydrogen bonding, molecular rotation, and vibration, as well as van der Waals forces, indicating that many biological macromolecules exhibit a strong absorption and resonance in this frequency band. Research has shown that the terahertz radiation of specific frequencies and energies can mediate changes in cellular morphology and function by exciting nonlinear resonance effects in proteins. However, current studies have mainly focused on the cellular level and lack systematic studies on multiple levels. Moreover, the mechanism and law of interaction between terahertz radiation and neurons are still unclear. Therefore, this paper analyzes the mechanisms by which terahertz radiation modulates the nervous system, and it analyzes and discusses the methods by which terahertz radiation modulates neurons. In addition, this paper reviews the laws of terahertz radiation’s influence on neuronal morphology and kinetic properties and discusses them in detail in terms of terahertz radiation frequency, energy, and time. In the future, the safety of the terahertz radiation system should be considered first to construct the safety criterion of terahertz modulation, and the spatial resolution of the terahertz radiation system should be improved. In addition, the systematic improvement of the laws and mechanisms of terahertz modulation of the nervous system on multiple levels is the key to applying terahertz waves to neuroscience. This paper can provide a platform for researchers to understand the mechanism of the terahertz–nervous system interaction, its current status, and future research directions. Full article

(This article belongs to the Special Issue Reviews in Neural Engineering, Neuroergonomics and Neurorobotics)

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18 pages, 638 KiB

Open AccessEditor’s ChoiceSystematic Review

Cognitive, Emotional, and Daily Functioning Domains Involved in Decision-Making among Patients with Mild Cognitive Impairment: A Systematic Review

by Federica Alfeo, Tiziana Lanciano, Chiara Abbatantuono, Giorgia Gintili, Maria Fara De Caro, Antonietta Curci and Paolo Taurisano

Brain Sci. 2024, 14(3), 278; https://doi.org/10.3390/brainsci14030278 - 14 Mar 2024

Cited by 4 | Viewed by 3162

Abstract

Mild cognitive impairment (MCI) is a transitional or prodromal stage of dementia in which autonomies are largely preserved (autonomies are not particularly affected). However, this condition may entail a depletion of decision-making (DM) abilities likely due to a gradual deterioration of the prefrontal [...] Read more.

Mild cognitive impairment (MCI) is a transitional or prodromal stage of dementia in which autonomies are largely preserved (autonomies are not particularly affected). However, this condition may entail a depletion of decision-making (DM) abilities likely due to a gradual deterioration of the prefrontal cortex and subcortical brain areas underlying cognitive–emotional processing. Given the clinical implications of a decline in self-determination observed in some MCI sufferers, the present systematic review was aimed at investigating the literature addressing DM processes in patients with MCI, consistent with PRISMA guidelines. The six online databases inquired yielded 1689 research articles that were screened and then assessed based on eligibility and quality criteria. As a result, 41 studies were included and classified following the PICOS framework. Overall, patients with MCI who underwent neuropsychological assessment were found to be slightly or moderately impaired in DM abilities related to financial management, medical adherence, specific cognitive performances, risky conditions, and especially uncertain life circumstances. Comparative cross-sectional studies indicated not only mid-stage cognitive functioning in MCI but also borderline or deficit DM patterns evaluated through different tasks and procedures. Further research addressing MCI profiles suggested an association between explicit memory, executive functions, and DM performance. These findings highlight the diversity of MCI manifestations, in addition to the critical importance of DM features and correlates in patients’ daily functioning. Due to a lack of consensus on both MCI and DM, this review paper sought to shed light on assessment and intervention strategies accounting for the interplay between emotion, motivation, and learning to foster DM in cognitively impaired individuals. Full article

(This article belongs to the Special Issue Advances in Research on Brain Health and Dementia: Prevention and Early Detection of Cognitive Decline and Dementia: Series II)

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24 pages, 685 KiB

Open AccessEditor’s ChoiceReview

Neurofilaments Light Chain in Neurodegenerative Dementias: A Review of Imaging Correlates

by Chiara Gallingani, Chiara Carbone, Manuela Tondelli and Giovanna Zamboni

Brain Sci. 2024, 14(3), 272; https://doi.org/10.3390/brainsci14030272 - 13 Mar 2024

Cited by 5 | Viewed by 2241

Abstract

Neurofilaments light chain (NfLs) are currently recognized as a marker of axonal injury and degeneration. Their measurement in biological fluids has a promising role in the diagnosis, prognosis, and monitoring of the therapeutic response in neurological diseases, including neurodegenerative dementias. In recent years, [...] Read more.

Neurofilaments light chain (NfLs) are currently recognized as a marker of axonal injury and degeneration. Their measurement in biological fluids has a promising role in the diagnosis, prognosis, and monitoring of the therapeutic response in neurological diseases, including neurodegenerative dementias. In recent years, their relationship with clinical phenotypes and measures of disease severity has been extensively studied. Here, we reviewed studies investigating the association between NfLs and imaging measures of grey matter (GM) and white matter (WM) damage in neurodegenerative dementias. We identified a large number of studies investigating this association in Alzheimer’s disease (AD) and disorders of the frontotemporal dementia (FTD) spectrum. Results were heterogeneous, possibly due to different methodological approaches—both in NfL measurements and imaging analyses—and inclusion criteria. However, a positive association between NfL levels and GM atrophy, WM microstructural disruption, glucose hypometabolism, and protein accumulation emerged invariably, confirming the role of NfLs as a reliable biomarker for neurodegenerative dementias, albeit not specific. Full article

(This article belongs to the Special Issue Brain Magnetic Resonance Imaging in Neurological Disorders)

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19 pages, 2507 KiB

Open AccessEditor’s ChoiceArticle

Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction

by Jinhao Zhang, Yanrong Hao, Xin Wen, Chenchen Zhang, Haojie Deng, Juanjuan Zhao and Rui Cao

Brain Sci. 2024, 14(3), 271; https://doi.org/10.3390/brainsci14030271 - 12 Mar 2024

Cited by 5 | Viewed by 2631

Abstract

Emotion is one of the most important higher cognitive functions of the human brain and plays an important role in transaction processing and decisions. In traditional emotion recognition studies, the frequency band features in EEG signals have been shown to have a high [...] Read more.

Emotion is one of the most important higher cognitive functions of the human brain and plays an important role in transaction processing and decisions. In traditional emotion recognition studies, the frequency band features in EEG signals have been shown to have a high correlation with emotion production. However, traditional emotion recognition methods cannot satisfactorily solve the problem of individual differences in subjects and data heterogeneity in EEG, and subject-independent emotion recognition based on EEG signals has attracted extensive attention from researchers. In this paper, we propose a subject-independent emotion recognition model based on adaptive extraction of layer structure based on frequency bands (BFE-Net), which is adaptive in extracting EEG map features through the multi-graphic layer construction module to obtain a frequency band-based multi-graphic layer emotion representation. To evaluate the performance of the model in subject-independent emotion recognition studies, extensive experiments are conducted on two public datasets including SEED and SEED-IV. The experimental results show that in most experimental settings, our model has a more advanced performance than the existing studies of the same type. In addition, the visualization of brain connectivity patterns reveals that some of the findings are consistent with previous neuroscientific validations, further validating the model in subject-independent emotion recognition studies. Full article

(This article belongs to the Special Issue Emerging Trends of Biomedical Signal Processing in Intelligent Emotion Recognition)

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15 pages, 3691 KiB

Open AccessEditor’s ChoiceArticle

Emotion Classification Based on Transformer and CNN for EEG Spatial–Temporal Feature Learning

by Xiuzhen Yao, Tianwen Li, Peng Ding, Fan Wang, Lei Zhao, Anmin Gong, Wenya Nan and Yunfa Fu

Brain Sci. 2024, 14(3), 268; https://doi.org/10.3390/brainsci14030268 - 11 Mar 2024

Cited by 5 | Viewed by 4089

Abstract

Objectives: The temporal and spatial information of electroencephalogram (EEG) signals is crucial for recognizing features in emotion classification models, but it excessively relies on manual feature extraction. The transformer model has the capability of performing automatic feature extraction; however, its potential has not [...] Read more.

Objectives: The temporal and spatial information of electroencephalogram (EEG) signals is crucial for recognizing features in emotion classification models, but it excessively relies on manual feature extraction. The transformer model has the capability of performing automatic feature extraction; however, its potential has not been fully explored in the classification of emotion-related EEG signals. To address these challenges, the present study proposes a novel model based on transformer and convolutional neural networks (TCNN) for EEG spatial–temporal (EEG ST) feature learning to automatic emotion classification. Methods: The proposed EEG ST-TCNN model utilizes position encoding (PE) and multi-head attention to perceive channel positions and timing information in EEG signals. Two parallel transformer encoders in the model are used to extract spatial and temporal features from emotion-related EEG signals, and a CNN is used to aggregate the EEG’s spatial and temporal features, which are subsequently classified using Softmax. Results: The proposed EEG ST-TCNN model achieved an accuracy of 96.67% on the SEED dataset and accuracies of 95.73%, 96.95%, and 96.34% for the arousal–valence, arousal, and valence dimensions, respectively, for the DEAP dataset. Conclusions: The results demonstrate the effectiveness of the proposed ST-TCNN model, with superior performance in emotion classification compared to recent relevant studies. Significance: The proposed EEG ST-TCNN model has the potential to be used for EEG-based automatic emotion recognition. Full article

(This article belongs to the Special Issue Emerging Trends of Biomedical Signal Processing in Intelligent Emotion Recognition)

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13 pages, 268 KiB

Open AccessEditor’s ChoiceReview

Hypnotic Modulation of Autonomic Nervous System (ANS) Activity

by Giuseppe De Benedittis

Brain Sci. 2024, 14(3), 249; https://doi.org/10.3390/brainsci14030249 - 4 Mar 2024

Viewed by 3182

Abstract

Hypnosis, a time-honored therapeutic approach, has gained widespread recognition for its effectiveness in addressing a range of psychological and somatic disorders. While its primary effects are mediated by central top–down mechanisms, hypnosis also exerts peripheral influence by modulating the autonomic nervous system (ANS). [...] Read more.

Hypnosis, a time-honored therapeutic approach, has gained widespread recognition for its effectiveness in addressing a range of psychological and somatic disorders. While its primary effects are mediated by central top–down mechanisms, hypnosis also exerts peripheral influence by modulating the autonomic nervous system (ANS). Psychophysiological measures, such as heart rate (HR) and its variability (HRV), electrodermal activity (EDA), respiratory rate (RR), and the analgesia nociceptive index (ANI), serve as reliable indicators of ANS activity. Studies have consistently demonstrated hypnosis’ ability to significantly impact ANS functions, lowering sympathetic activity and enhancing parasympathetic tone. This effect is particularly pronounced during relaxation procedures and is influenced by mediating factors like hypnotizability and task conditions. Despite methodological limitations, this review highlights the potential of enhanced ANS modulation through hypnosis, including its connections to the central nervous system (CNS), to optimize therapeutic outcomes in patients with psychosomatic disorders associated with ANS dysfunction. Full article

(This article belongs to the Special Issue Brain Mechanism of Hypnosis)

20 pages, 491 KiB

Open AccessEditor’s ChoiceSystematic Review

A Systematic Review of the Neurocognitive Effects of Psychedelics in Healthy Populations: Implications for Depressive Disorders and Post-Traumatic Stress Disorder

by Mario Renato Velit-Salazar, Paulo R. Shiroma and Eloise Cherian

Brain Sci. 2024, 14(3), 248; https://doi.org/10.3390/brainsci14030248 - 3 Mar 2024

Cited by 2 | Viewed by 3585

Abstract

Objective: This study aims to provide an overview of pharmacological trials that examine the neurocognitive effects of psychedelics among healthy individuals and patients with post-traumatic stress disorder (PTSD) or major depressive disorder (MDD). Methods: The Preferred Reporting Items for Systematic Reviews (PRISMA) was [...] Read more.

Objective: This study aims to provide an overview of pharmacological trials that examine the neurocognitive effects of psychedelics among healthy individuals and patients with post-traumatic stress disorder (PTSD) or major depressive disorder (MDD). Methods: The Preferred Reporting Items for Systematic Reviews (PRISMA) was used as a guide to structure and report the findings for this review. A literature search included the MEDLINE database up until December 2022. We included randomized or open-label human studies of MDMA, psilocybin, mescaline, LSD, DMT, or cannabis reporting non-emotionally charged neurocognitive outcomes (“cold cognition”) measured through validated neuropsychological tests. Results: A total of 43 full-text papers on MDMA (15), cannabis (12), LSD (6), psilocybin (9), DMT/ayahuasca (1), and mescaline (0) were included, mostly on healthy subjects. A single article on MDMA’s effects on cognition in subjects with PTSD was included; there were no studies on psychedelics and neurocognition in MDD. Most of the studies on healthy subjects reported detrimental or neutral effects on cognition during the peak effect of psychedelics with a few exceptions (e.g., MDMA improved psychomotor function). Performance on the type of neurocognitive dimension (e.g., attention, memory, executive function, psychomotor) varies by type of psychedelic, dosage, and cognitive testing. Conclusions: Small samples and a lack of uniformed methods across studies preclude unequivocal conclusions on whether psychedelics enhance, decrease, or have no significant effect on cognitive performance. It is foreseen that psychedelics will soon become an available treatment for various psychiatric disorders. The acute and long-term effects on cognition caused by psychedelics should be assessed in future studies. Full article

(This article belongs to the Special Issue Reviews in Neuropsychology)

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18 pages, 432 KiB

Open AccessEditor’s ChoiceSystematic Review

Treatments for Cannabis Use Disorder across the Lifespan: A Systematic Review

by Mohammad Ghafouri, Sabrina Correa da Costa, Ali Zare Dehnavi, Mark S. Gold and Teresa A. Rummans

Brain Sci. 2024, 14(3), 227; https://doi.org/10.3390/brainsci14030227 - 28 Feb 2024

Cited by 2 | Viewed by 3655

Abstract

Cannabis use disorder (CUD) is a growing public health concern, with rising prevalence and significant impact on individuals across age groups. This systematic review examines 24 studies investigating pharmacological and non-pharmacological interventions for CUD among adolescents (up to 17), young adults (18–24), and [...] Read more.

Cannabis use disorder (CUD) is a growing public health concern, with rising prevalence and significant impact on individuals across age groups. This systematic review examines 24 studies investigating pharmacological and non-pharmacological interventions for CUD among adolescents (up to 17), young adults (18–24), and older adults (25–65). Database searches were conducted for randomized controlled trials of CUD interventions reporting outcomes such as cannabis use, abstinence, withdrawal symptoms, and treatment retention. For adolescents, interventions such as contingent rewards and family engagement have shown promise, while young adults benefit from technology-based platforms and peer support. In older adults, pharmacological adjuncts combined with counseling have shown promise in enhancing treatment outcomes. However, optimal treatment combinations remain uncertain, highlighting the need for further research. Addressing CUD requires tailored interventions that acknowledge developmental stages and challenges across the lifespan. Although promising interventions exist, further comparative effectiveness research is needed to delineate the most efficacious approaches. Full article

(This article belongs to the Section Psychiatric Diseases)

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