The effect of implicit learning on functional connectivity in schizophrenia.
Asli Ceren Hinc1,2, Simay Selek1, Ibrahim Sungur1,3
1Standardization of Computational Anatomy Techniques for Cognitive and Behavioral Sciences (SoCAT) Lab, Department of Psychiatry, School of Medicine, Ege University, Izmir, Türkiye.
Schizophrenia patients show impaired implicit learning and altered brain connectivity in cortico-striato-cerebellar circuits. Post-task hyperconnectivity may represent a dysfunctional compensatory mechanism, offering potential biomarkers for schizophrenia.
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Science
Background:
- Neuronal plasticity is crucial for cognitive functions.
- Schizophrenia is associated with impaired neuroplasticity, leading to cognitive deficits and functional impairments.
Purpose of the Study:
- To investigate neuroplasticity alterations in schizophrenia patients within cortico-striato-cerebellar circuits.
- To examine implicit learning and functional connectivity changes using a reward-enhanced Serial Reaction Time Task (SRTT) and resting-state functional MRI (rs-fMRI).
Main Methods:
- Forty-two schizophrenia patients and 25 healthy controls underwent pre- and post-task rs-fMRI.
- A reward-enhanced SRTT was used to assess implicit learning and task-induced brain activity.
Main Results:
- Schizophrenia patients demonstrated diminished implicit learning, evidenced by lower accuracy.
- Increased connectivity in cortico-striato-cerebellar circuits was observed in schizophrenia patients, becoming more pronounced after the task.
- Task-induced connectivity changes in thalamo-cortico-cerebellar circuits predicted group membership.
Conclusions:
- Neuroplasticity impairments play a significant role in schizophrenia-related cognitive deficits.
- Altered functional connectivity patterns may serve as potential neural markers for clinical differentiation in schizophrenia.
- Findings suggest a dysfunctional compensatory mechanism in schizophrenia, highlighting targets for intervention.
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