Shared and Distinct Functional Architectures of Brain Networks Across Psychiatric Disorders
Open Access
- 20 April 2018
- journal article
- research article
- Published by Oxford University Press (OUP) in Schizophrenia Bulletin
- Vol. 45 (2), 450-463
- https://doi.org/10.1093/schbul/sby046
Abstract
Brain network alterations have increasingly been implicated in schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD). However, little is known about the similarities and differences in functional brain networks among patients with SCZ, BD, and MDD. A total of 512 participants (121 with SCZ, 100 with BD, 108 with MDD, and 183 healthy controls, matched for age and sex) completed resting-state functional magnetic resonance imaging at a single site. Four global measures (the clustering coefficient, the characteristic shortest path length, the normalized clustering coefficient, and the normalized characteristic path length) were computed at a voxel level to quantify segregated and integrated configurations. Inter-regional functional associations were examined based on the Euclidean distance between regions. Distance strength maps were used to localize regions with altered distances based on functional connectivity. Patient groups exhibited shifts in their network architectures toward randomized configurations, with SCZ>BD>MDD in the degree of randomization. Patient groups displayed significantly decreased short-range connectivity and increased medium-/long-range connectivity. Decreases in short-range connectivity were similar across the SZ, BD, and MDD groups and were primarily distributed in the primary sensory and association cortices and the thalamus. Increases in medium-/long-range connectivity were differentially localized within the prefrontal cortices among the patient groups. We highlight shared and distinct connectivity features in functional brain networks among patients with SCZ, BD, and MDD, which expands our understanding of the common and distinct pathophysiological mechanisms and provides crucial insights into neuroimaging-based methods for the early diagnosis of and interventions for psychiatric disorders.Keywords
Funding Information
- National Natural Science Foundation of China (81671767, 81401479, 81620108016, 81571311, 81071099, 81271499, 81571331)
- Liaoning Education Foundation
- Beijing Natural Science Foundation (Z161100004916027, Z151100003915082, Z161100000216125)
- National key research and development program (2016YFC0904300)
- National key research and development program (2016YFC1306900)
- National High Tech Development Plan (2015AA020513)
- Fundamental Research Funds for the Central Universities (2017XTCX04, 2015KJJCA13)
This publication has 98 references indexed in Scilit:
- A Hybrid CPU-GPU Accelerated Framework for Fast Mapping of High-Resolution Human Brain ConnectomePLOS ONE, 2013
- Simple models of human brain functional networksProceedings of the National Academy of Sciences of the United States of America, 2012
- Spurious but systematic correlations in functional connectivity MRI networks arise from subject motionNeuroImage, 2012
- The influence of head motion on intrinsic functional connectivity MRINeuroImage, 2012
- Decoupling of the brain's default mode network during deep sleepProceedings of the National Academy of Sciences of the United States of America, 2009
- Cortical network functional connectivity in the descent to sleepProceedings of the National Academy of Sciences of the United States of America, 2009
- Predicting human resting-state functional connectivity from structural connectivityProceedings of the National Academy of Sciences of the United States of America, 2009
- What we can do and what we cannot do with fMRINature, 2008
- Neuropsychological Function and Dysfunction in Schizophrenia and Psychotic Affective DisordersSchizophrenia Bulletin, 2008
- Development of distinct control networks through segregation and integrationProceedings of the National Academy of Sciences of the United States of America, 2007