Understanding Functional Neurological Disorder: Recent Insights and Diagnostic Challenges
Abstract
:1. Introduction
2. Etiology of Functional Neurological Symptom Disorder (FND)
3. The Role of Personality Traits in Functional Neurological Disorder (FND)
4. Pathophysiological Mechanisms and Suggested Pathogenic Models of Functional Neurological Disorder
5. Suggested Pathogenic Models of FND
6. Diagnosis, Criteria, and Techniques for Functional Neurological Disorder
7. Distinguishing Functional Neurological Disorder from Deliberate Symptom Fabrication (Feigning or Malingering)
8. Neuroimaging in Functional Neurological Disorder (FND)
9. Discussion
10. Conclusions
Funding
Conflicts of Interest
References
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Mechanism/Model | Description | References |
---|---|---|
Altered Limbic and Salience Network Activity | Involves increased limbic/paralimbic activity, heightened amygdala sensitization, and functional connectivity with motor control circuits, suggesting augmented limbic influence over motor behavior. | [61,62,63] |
Self-Agency and Multimodal Integration Disruptions | Abnormalities in brain activations related to voluntary control perception, contributing to involuntary movement experiences. | [63,64,65,66,67,68,69] |
Attentional and Sensorimotor Circuit Alterations | Dysregulation in integrating sensory information and emotional processing, particularly involving the insula and cingulate gyrus. | [70,71] |
Cognitive-Behavioral Models | Suggest symptoms result from subconscious processing of cognitive, emotional, and behavioral factors; heightened anxiety and dissociation play roles in symptom manifestation. | [72,73,74,75] |
Bayesian Model | Based on predictive coding and active inference; posits that symptoms arise from an imbalance in integrating sensory data and top-down predictions, leading to altered perceptions and motor control. | [76] |
Neurobiologic Models | Focus on abnormalities in neural networks, particularly involving the orbitofrontal cortex, anterior cingulate cortex, and limbic structures; stress and other factors trigger these networks, leading to symptoms. | [73,77,78,79,80] |
Psychodynamic Models | Posit that unconscious conflicts manifest as somatic symptoms, serving as a defense mechanism; emphasize the role of early life experiences and abnormal interpersonal relationships. | [81,82,83,84] |
Aspect of Distinction | Functional Neurological Disorder (FND) | Deliberate Symptom Fabrication |
---|---|---|
Clinical Presentation | Characterized by genuine, involuntary symptoms inconsistent with known neurological pathology. Symptoms often fluctuate in severity and distribution over time. | Involves intentional production or exaggeration of symptoms for secondary gain. Symptoms may be consciously simulated or exaggerated, lacking the variability seen in genuine neurological disorders. |
Motivation | Absence of secondary gain; symptoms are not intentionally produced or maintained for personal benefit. | Involves secondary gain; symptoms are deliberately fabricated or exaggerated for tangible benefits, such as financial compensation, avoiding responsibility, or obtaining attention. |
Response to Suggestion | Symptoms may show variable responses to suggestion, influenced by psychological factors such as stress or emotional distress. | Symptoms may show less variability or responsiveness to suggestion, as they are consciously controlled by the individual. |
Neuroimaging Findings | Neuroimaging studies may reveal alterations in brain function or connectivity consistent with functional neurological mechanisms. | Neuroimaging findings may be inconsistent with genuine neurological pathology, suggesting conscious control or a lack of underlying neurological dysfunction. |
Neuroimaging Technique | Description | Contributions to FND Research | Strengths | Limitations |
---|---|---|---|---|
Functional MRI (fMRI) | Measures changes in blood flow to examine brain function. | Investigates functional connectivity patterns and task-based activation in individuals with FND. | Non-invasive, high spatial resolution, can assess dynamic brain activity. | Small sample sizes, variability in imaging protocols and analysis techniques, susceptibility to artifacts, potential influence of confounding factors. |
Structural MRI (sMRI) | Assesses brain structure and morphology. | Examines differences in gray matter volume, white matter integrity, and cortical thickness in FND patients compared to healthy controls. | Non-invasive, can provide detailed anatomical information about the brain. | Limited ability to assess dynamic brain changes, potential influence of confounding factors, variability in imaging protocols and analysis techniques. |
Diffusion Tensor Imaging (DTI) | Measures diffusion of water molecules to assess white matter microstructure. | Reveals alterations in white matter tracts, indicating disruptions in neural connectivity in FND. | Provides information about white matter integrity and connectivity. | Susceptibility to artifacts, potential influence of confounding factors, variability in imaging protocols and analysis techniques. |
Positron Emission Tomography (PET) | Measures brain metabolism and neurotransmitter activity. | Investigates regional cerebral blood flow and glucose metabolism abnormalities in individuals with FND. | Provides complementary information to MRI findings, can assess neurotransmitter function. | Invasive (involves injection of radioactive tracers), lower spatial resolution compared to MRI, limited availability and higher cost, potential influence of confounding factors, radiation exposure. |
White Matter Characterization | Assesses white matter structure and integrity. | Identifies alterations in white matter fiber bundles compared to healthy controls. | Provides insights into white matter abnormalities and their contribution to FND pathology. | Susceptibility to artifacts, potential influence of confounding factors, variability in imaging protocols and analysis techniques. |
Predictive Neuroimaging | Uses baseline neural activity to predict treatment responses. | Preliminary data suggest predictive value for treatment outcomes, particularly for cognitive behavioral therapy. | Can inform personalized treatment strategies. | Requires further validation and refinement, potential influence of confounding factors, limited availability of predictive models. |
Task-Based Neuroimaging | Examines brain activation patterns during specific tasks. | Highlights disturbances in self-agency and motor control networks in FND. | Provides insights into task-specific neural mechanisms underlying FND symptoms. | Susceptibility to task design biases, potential influence of confounding factors, variability in imaging protocols and analysis techniques. |
Resting-State Functional Connectivity MRI | Investigates intrinsic brain networks at rest. | Reveals alterations in functional connectivity related to emotion processing and motor control in FND. | Non-invasive, provides information about resting-state brain function. | Potential influence of confounding factors, variability in imaging protocols and analysis techniques. |
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Mavroudis, I.; Kazis, D.; Kamal, F.Z.; Gurzu, I.-L.; Ciobica, A.; Pădurariu, M.; Novac, B.; Iordache, A. Understanding Functional Neurological Disorder: Recent Insights and Diagnostic Challenges. Int. J. Mol. Sci. 2024, 25, 4470. https://doi.org/10.3390/ijms25084470
Mavroudis I, Kazis D, Kamal FZ, Gurzu I-L, Ciobica A, Pădurariu M, Novac B, Iordache A. Understanding Functional Neurological Disorder: Recent Insights and Diagnostic Challenges. International Journal of Molecular Sciences. 2024; 25(8):4470. https://doi.org/10.3390/ijms25084470
Chicago/Turabian StyleMavroudis, Ioannis, Dimitrios Kazis, Fatima Zahra Kamal, Irina-Luciana Gurzu, Alin Ciobica, Manuela Pădurariu, Bogdan Novac, and Alin Iordache. 2024. "Understanding Functional Neurological Disorder: Recent Insights and Diagnostic Challenges" International Journal of Molecular Sciences 25, no. 8: 4470. https://doi.org/10.3390/ijms25084470
APA StyleMavroudis, I., Kazis, D., Kamal, F. Z., Gurzu, I. -L., Ciobica, A., Pădurariu, M., Novac, B., & Iordache, A. (2024). Understanding Functional Neurological Disorder: Recent Insights and Diagnostic Challenges. International Journal of Molecular Sciences, 25(8), 4470. https://doi.org/10.3390/ijms25084470