Meta-connectomic analysis reveals commonly disrupted functional architectures in network modules and connectors across brain disorders

Zhiqiang Sha, Mingrui Xia, Qixiang Lin, Miao Cao, Yanqing Tang, Ke Xu, Haiqing Song, Zhiqun Wang, Fei Wang, Peter T. Fox, Alan C. Evans, Yong He

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Neuropsychiatric disorders are increasingly conceptualized as disconnection syndromes that are associated with abnormal network integrity in the brain. However, whether different neuropsychiatric disorders show commonly dysfunctional connectivity architectures in large-scale brain networks remains largely unknown. Here, we performed a meta-connectomic study to identify disorder-related functional modules and brain regions by combining meta-analyses of 182 published resting-state functional MRI studies in 11 neuropsychiatric disorders and graph-theoretical analyses of 3 independent resting-state functional MRI datasets with healthy and diseased populations (Alzheimer's disease and major depressive disorder [MDD]). Three major functional modules, the default mode, frontoparietal, and sensorimotor networks were commonly abnormal across disorders. Moreover, most of the disorders preferred to target the network connector nodes that were primarily involved in intermodule communications and multiple cognitive components. Apart from these common dysfunctions, different brain disorders were associated with specific alterations in network modules and connector regions. Finally, these meta-connectomic findings were confirmed by two empirical example cases of Alzheimer's disease and MDD. Collectively, our findings shed light on the shared biological mechanisms of network dysfunctions of diverse disorders and have implications for clinical diagnosis and treatment from a network perspective.

Original languageEnglish (US)
Pages (from-to)4179-4194
Number of pages16
JournalCerebral Cortex
Issue number12
StatePublished - Dec 1 2018
Externally publishedYes


  • connectomics
  • connector
  • meta-analysis
  • module
  • resting-state fMRI

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience


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