A splitting brain: Imbalanced neural networks in schizophrenia

Mingli Li, Wei Deng, Zongling He, Qiang Wang, Chaohua Huang, Lijun Jiang, Qiyong Gong, Doug M. Ziedonis, Jean A. King, Xiaohong Ma, Nanyin Zhang, Tao Li

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)145-153
Number of pages9
JournalPsychiatry Research - Neuroimaging
Issue number2
StatePublished - May 30 2015

All Science Journal Classification (ASJC) codes

  • Neuroscience (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Psychiatry and Mental health


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