Distance- and Hierarchy-Dependent Functional Dysconnectivity in Schizophrenia and Its Association with Cortical
Isaac David1,2, Shuntaro Sasai1, Felipe Branco de Paiva1
1Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
Medrxiv : the Preprint Server for Health Sciences
|August 6, 2025
Summary
Schizophrenia shows distinct connectivity changes: reduced short-range connections in sensory areas linked to microstructure, and increased long-range connections in other regions without microstructural ties.
Area of Science:
- Neuroscience
- Psychiatry
- Neuroimaging
Background:
- Schizophrenia is linked to widespread functional dysconnectivity.
- The spatial scale and structural basis of these alterations, especially short-range connectivity, are not well understood.
Purpose of the Study:
- To investigate distance-dependent functional connectivity strength (FCS) in schizophrenia.
- To explore the relationship between functional connectivity and intracortical microstructure.
Main Methods:
- Applied vertex-wise, distance-dependent analysis of FCS to resting-state fMRI data.
- Partitioned FCS by geodesic distance and analyzed by cortical hierarchy.
- Assessed T1w/T2w ratio and individualized data-driven functional connectivity density (idFCD) as microstructural proxies.
Main Results:
- Schizophrenia patients showed reduced short-range FCS in the dorsal primary somatosensory cortex, co-localizing with microstructural abnormalities.
- Increased long-range FCS was observed in transmodal regions (e.g., precuneus) without microstructural differences.
- Hierarchical analysis revealed structure-function disruption in primary networks and increased relative FCS in transmodal regions.
Conclusions:
- Schizophrenia exhibits two distinct connectivity patterns: short-range reductions in primary sensory areas with microstructural correlates, and long-range increases in transmodal regions lacking local structural association.
- Highlights the role of short-range connectivity disruptions in primary areas and offers a new framework for analyzing brain connectivity in schizophrenia.
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