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Abstract #1130

Laminar-specific topological alterations in schizophrenia and their association with clinical features: a submillimeter DTI study

Naici Liu1, Konasale M Prasad2,3, Xing Li1, Hui Sun1, Huilou Liang4, Wenjing Zhang1, and Su Lui1
1Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States, 3Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, United States, 4GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: Psychiatric Disorders, Structural Connectivity, schizophrenia

Motivation: Traditional structural covariance networks (SCNs) are group-level constructs and consider cortex as homogeneous, limiting identification of individual abnormalities and microstructural insights in mental illness.

Goal(s): To investigate abnormal individualized SCNs in schizophrenia (SCZ) across cortical depths, providing microstructural evidence for clinical features.

Approach: Submillimeter isotropic DTI data was collected. A cortical-based laminar analysis was applied to divide the cortex into four equal-distance layers, followed by Jensen-Shannon divergence-based similarity (JSDs) method to construct SCNs.

Results: SCZ showed alterations in global and nodal network properties across cortical depths, primarily in regions involved in cognition, motor, and sensory, with correlations to cognitive deficits and clinical symptoms.

Impact: This study revealed that topological alterations in schizophrenia exhibit laminar-specific characteristics and their associations with clinical features, which might enhance our understanding of the pathophysiology of schizophrenia from a mesoscopic perspective.

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