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Neural dynamics in co-morbid schizophrenia and OCD: A computational approach
Krisztina Szalisznyó1, David N Silverstein2, János Tóth3
1Department of Neuroscience, Psychiatry, University Hospital, Uppsala University, Uppsala 751 85 Sweden; Computational Neuroscience Group Wigner Research Institute, Hungarian Academy of Sciences Budapest, Hungary.
Obsessive-compulsive disorder (OCD) and schizophrenia co-morbidity may arise from shared neuropathophysiology. Computational models show over-compensating for one disorder
Area of Science:
- Neuroscience
- Computational Psychiatry
- Systems Biology
Background:
- Obsessive-compulsive disorder (OCD) and schizophrenia exhibit higher than chance co-morbidity, suggesting shared neuropathophysiology.
- Repetitive behaviors in both disorders may stem from perseverative thoughts and motor sequences within cortico-striatal networks.
- Existing computational models offer a framework for investigating these complex network dynamics.
Purpose of the Study:
- To extend a computational model of cortico-striatal dynamics to explore the co-morbidity of OCD and schizophrenia.
- To investigate how variations in functional connectivity within overlapping neural networks influence network oscillatory activity.
- To examine the emergence of disorder-specific network dynamics and parameter sensitivity.
Main Methods:
- Extended a previously published computational model of cortico-striatal network dynamics.
- Focused on the emergence of network oscillatory activity and parameter sensitivity analysis.
- Simulated functional connectivity variations in overlapping networks relevant to OCD and schizophrenia.
Main Results:
- Opposing activity levels in orbitofrontal cortex (OFC) and anterior cingulate cortex (ACC) are characteristic of schizophrenia and OCD.
- Over-compensation of the primary pathology in the model can lead to the emergence of the other disorder.
- Network oscillatory behavior is sensitive to modulations in cortico-striatal and cortico-cortical connections, including those involving the dorsolateral prefrontal cortex (DLPFC).
Conclusions:
- The study provides a mechanistic model predicting that dynamic over-compensation of neuropathophysiology can result in secondary co-morbid disease.
- Optimal modulation windows exist for treatments targeting cortical self-inhibition (e.g., SSRIs) and striatal dopaminergic input (e.g., antipsychotics).
- Disruption and compensatory processes within the cortico-striato-thalamic network contribute to the neuropathophysiology and heterogeneity of schizo-obsessive spectrum disorders.
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