Dynamic Functional Connectivity Patterns in Schizophrenia and the Relationship With Hallucinations.
Sarah Weber1,2, Erik Johnsen2,3, Rune A Kroken2,3
1Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.
Dynamic functional connectivity (FC) in schizophrenia reveals altered brain network states. Hallucination proneness, not current severity, linked to less time in anti-correlated default mode network (DMN) and task-positive network states.
Area of Science:
- Neuroscience
- Psychiatry
- Brain Imaging
Background:
- Schizophrenia is characterized by aberrant functional connectivity (FC), but findings vary.
- Dynamic FC analysis offers deeper insights into temporal connectivity changes than static FC.
- Default Mode Network (DMN) dysfunction is implicated in schizophrenia.
Purpose of the Study:
- To investigate dynamic FC in schizophrenia patients compared to healthy controls.
- To explore the relationship between dynamic FC and hallucinations, a core schizophrenia symptom.
- To determine if hallucination proneness or current severity is associated with dynamic FC patterns.
Main Methods:
- Studied 80 schizophrenia patients and 80 matched healthy controls.
- Utilized dynamic functional connectivity (dFC) analysis to examine temporal brain network changes.
- Assessed hallucinations using both current severity and a 1-year trait measure of hallucination proneness.
Main Results:
- Replicated previous findings of aberrant dwell times in specific FC states, supporting DMN dysfunction.
- Current hallucination severity showed no significant relationship with dynamic FC.
- Higher hallucination proneness over 1 year correlated with less time in states showing DMN-task-positive anti-correlation.
Conclusions:
- Findings support theories linking DMN instability and impaired cognitive control to hallucinations in schizophrenia.
- Dynamic FC abnormalities, particularly related to DMN and task-positive network interactions, are associated with hallucination proneness.
- Hallucination proneness may serve as a biomarker for distinct schizophrenia patient subgroups.
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