Cognitive Implications of Correlated Structural Network Changes in Schizophrenia

Area of Science:

• Neuroimaging
• Neuroscience
• Psychiatry

Background:

• Schizophrenia involves widespread gray matter (GM) and white matter (FA) changes, impacting cognition.
• Previous studies analyzed GM, FA, and cognition separately.
• Multimodal analysis offers a comprehensive view of these relationships.

Purpose of the Study:

• To explore relationships between GM, FA, and cognitive performance in schizophrenia using multimodal fusion.
• To identify specific network alterations in schizophrenia patients.

Main Methods:

• Parallel independent component analysis (pICA) on MRI data from 73 schizophrenia (SZ) and 82 healthy controls (HC).
• Investigated 12 components for FA and GM, identifying correlated pairs with group differences.
• MANCOVA analyzed relationships with age, gender, and cognitive scores.

Main Results:

• Three component pairs revealed significant group differences (HC > SZ) in both GM and FA.
• Two pairs showed GM networks significantly related to cognition (HC > SZ), controlling for age and gender.
• Affected brain regions include thalamus, occipital cortex, temporal gyrus, precuneus, and brain stem.

Conclusions:

• Multimodal analysis highlights correlated covariance between GM, FA, and cognition in schizophrenia.
• Findings underscore the differential impact of structural network changes on cognitive performance.
• Results align with prior unimodal findings and cognitive deficits documented in schizophrenia.