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Cited by 486Functional Brain Connectivity StudiesSchizophrenia research and treatmentMental Health and Psychiatry

Dysfunction of Large-Scale Brain Networks in Schizophrenia: A Meta-analysis of Resting-State Functional Connectivity

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Dong, Debo, Wang, Yulin, Chang, Xuebin, Luo, Cheng, Yao, Dezhong·2018·Schizophrenia Bulletin
DOI 10.1093/schbul/sbx034PMC PMC5767956
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Abstract

Schizophrenia is a complex mental disorder with disorganized communication among large-scale brain networks, as demonstrated by impaired resting-state functional connectivity (rsFC). Individual rsFC studies, however, vary greatly in their methods and findings. We searched for consistent patterns of network dysfunction in schizophrenia by using a coordinate-based meta-analysis. Fifty-six seed-based voxel-wise rsFC datasets from 52 publications (2115 patients and 2297 healthy controls) were included in this meta-analysis. Then, coordinates of seed regions of interest (ROI) and between-group effects were extracted and coded. Seed ROIs were categorized into seed networks by their location within an a priori template. Multilevel kernel density analysis was used to identify brain networks in which schizophrenia was linked to hyper-connectivity or hypo-connectivity with each a priori network. Our results showed that schizophrenia was characterized by hypo-connectivity within the default network (DN, self-related thought), affective network (AN, emotion processing), ventral attention network (VAN, processing of salience), thalamus network (TN, gating information) and somatosensory network (SS, involved in sensory and auditory perception). Additionally, hypo-connectivity between the VAN and TN, VAN and DN, VAN and frontoparietal network (FN, external goal-directed regulation), FN and TN, and FN and DN were found in schizophrenia. Finally, the only instance of hyper-connectivity in schizophrenia was observed between the AN and VAN. Our meta-analysis motivates an empirical foundation for a disconnected large-scale brain networks model of schizophrenia in which the salience processing network (VAN) plays the core role, and its imbalanced communication with other functional networks may underlie the core difficulty of patients to differentiate self-representation (inner world) and environmental salience processing (outside world).

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Cited by

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Authors
Dong, D., Wang, Y., Chang, X., Luo, C., & Yao, D.
Affiliations
  • University of Electronic Science and Technology of China (CN)
  • Vrije Universiteit Brussel (BE)
Corresponding author
Luo, Cheng
ORCID
Venue
Schizophrenia Bulletin
Publisher
Oxford University Press (OUP)
Published
2017-03-11
Volume
44
Issue
1
Pages
168-181
ISSN
  • 0586-7614 (ISSN-L)
  • 1745-1701
DOI
10.1093/schbul/sbx034
PMC
PMC5767956
OpenAlex
W2593371527
Cited by
486
References
16
Citations by year
2026: 52 · 2025: 69 · 2024: 67 · 2023: 61 · 2022: 66 · 2021: 50 · 2020: 48 · 2019: 39 · 2018: 28 · 2017: 6
FWCI
3.70
Type
journal article
Language
en
Open access
Locations
  • Schizophrenia Bulletin (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
  • VUBIR (Vrije Universiteit Brussel) (submittedVersion)
Funders
National Nature Science Foundation of China (81330032, 81471638, 81571759, 81271547)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords
schizophrenia, resting-state functional connectivity
MeSH terms
Adult, Brain, Humans, Nerve Net, Schizophrenia, Young Adult, Connectome

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