Literature DB >> 25819347

A splitting brain: Imbalanced neural networks in schizophrenia.

Mingli Li1, Wei Deng1, Zongling He1, Qiang Wang1, Chaohua Huang1, Lijun Jiang1, Qiyong Gong2, Doug M Ziedonis3, Jean A King4, Xiaohong Ma1, Nanyin Zhang5, Tao Li6.   

Abstract

Dysconnectivity between key brain systems has been hypothesized to underlie the pathophysiology of schizophrenia. The present study examined the pattern of functional dysconnectivity across whole-brain neural networks in 121 first-episode, treatment-naïve patients with schizophrenia by using resting-state functional magnetic resonance imaging (rsfMRI). Group independent component analysis (ICA) was first applied to rsfMRI data to extract 90 functional components of the brain. The functional connectivity between these ICA components was then evaluated and compared between the patient and control groups. To examine the functional roles of significantly altered between-component connections in patients, each ICA component was ascribed to one of 10 previously well-defined brain networks/areas. Relative to findings in healthy controls (n=103), 29 altered functional connections including 19 connections with increased connectivity and 10 connections with decreased connectivity in schizophrenia patients were found. Increased connectivity was mainly within the default mode network (DMN) and between the DMN and cognitive networks, whereas decreased connectivity was predominantly associated with sensory networks. Given the key roles of the DMN in internal mental processes and sensory networks in inputs from the external environment, these patterns of altered brain network connectivity could suggest imbalanced neural processing of internal and external information in schizophrenia.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Functional connectivity; Neural networks; Resting state; Schizophrenia; fMRI

Mesh:

Year:  2015        PMID: 25819347      PMCID: PMC4704446          DOI: 10.1016/j.pscychresns.2015.03.001

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


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