Understanding the Functioning of Brain Networks in Health and Disease
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 69
Special Issue Editor
2. Leicester Institute for Pharmaceutical, Health and Social Care Innovations (LIPHSCI), De Montfort University, Leicester LE1 9BH, UK
Interests: artificial intelligence; brain-computer interfaces; complexity; connectivity; deep learning; EEG; entropy; fMRI; neurofeedback; neuroimaging
Special Issue Information
Dear Colleagues,
Understanding brain networks in health and disease provides insights into how the brain’s interconnected regions collaborate for cognitive, emotional, and motor functions. In healthy brains, networks such as the Default Mode Network (DMN), Central Executive Network (CEN), and Salience Network dynamically interact based on cognitive demands, displaying adaptability and plasticity. These networks allow for efficient information processing and adaptation to new experiences.
In disease states, disruptions in functional connectivity and signal complexity within and between networks are common. For example, in Alzheimer’s Disease, there is reduced DMN connectivity, correlating with memory loss. Schizophrenia shows altered connectivity in networks related to thought and perception, while depression involves abnormal DMN and limbic system interactions, contributing to emotional dysregulation. Neurodevelopmental disorders like Autism exhibit atypical social and emotional network functioning, affecting communication skills.
Techniques like functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), and diffusion tensor imaging (DTI) help map brain network activity, revealing patterns of disruption in various conditions. These insights have led to clinical applications like neurofeedback and personalized medicine, allowing for targeted therapies and interventions. Understanding brain networks is crucial for developing more effective treatments for neurological and psychiatric disorders, fostering better outcomes in mental health and cognitive rehabilitation.
Dr. Moses O. Sokunbi
Guest Editor
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Keywords
- brain networks
- cognitive dysfunction
- diffusion tensor imaging (DTI)
- electroencephalography (EEG)
- functional connectivity
- functional magnetic resonance imaging (fMRI)
- magnetoencephalography (MEG)
- neurological disorders
- neuroplasticity
- psychiatric disorders
- artificial intelligence
- deep learning
- neural networks
- signal complexity
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