Common Dysfunction of Large-Scale Neurocognitive Networks Across Psychiatric Disorders

Cognitive dysfunction is one of the most prominent characteristics of psychiatric disorders. Currently, the neural correlates of cognitive dysfunction across psychiatric disorders are poorly understood. The aim of this study was to investigate functional connectivity and structural perturbations acr...

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Vydané v:Biological psychiatry (1969) Ročník 85; číslo 5; s. 379 - 388
Hlavní autori: Sha, Zhiqiang, Wager, Tor D., Mechelli, Andrea, He, Yong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Elsevier Inc 01.03.2019
Predmet:
Adult
Brain - pathology
Brain - physiopathology
Case-Control Studies
Cognition Disorders - complications
Cognition Disorders - physiopathology
Connectome
Connectomics
Default mode network
Female
Frontoparietal network
Functional Neuroimaging
Gray Matter - pathology
Humans
Magnetic Resonance Imaging
Male
Mental Disorders - complications
Mental Disorders - physiopathology
Meta-analysis
Neural Pathways - pathology
Neural Pathways - physiopathology
Psychiatric/Mental Health
Resting-state fMRI
Salience network
Young Adult
Resting-state fMRI
Default mode network
Salience network
Connectomics
Frontoparietal network
Meta-analysis
ISSN:0006-3223, 1873-2402, 1873-2402
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Popis
Shrnutí:Cognitive dysfunction is one of the most prominent characteristics of psychiatric disorders. Currently, the neural correlates of cognitive dysfunction across psychiatric disorders are poorly understood. The aim of this study was to investigate functional connectivity and structural perturbations across psychiatric diagnoses in three neurocognitive networks of interest: the default mode network (DMN), the frontoparietal network (FPN), and the salience network (SN). We performed meta-analyses of resting-state functional magnetic resonance imaging whole-brain seed-based functional connectivity in 8298 patients (involving eight disorders) and 8165 healthy control subjects and a voxel-based morphometry analysis of structural magnetic resonance imaging data in 14,027 patients (involving eight disorders) and 14,504 healthy control subjects. To aid the interpretation of the results, we examined neurocognitive function in 776 healthy participants from the Human Connectome Project. We found that the three neurocognitive networks of interest were characterized by shared alterations of functional connectivity architecture across psychiatric disorders. More specifically, hypoconnectivity was expressed between the DMN and ventral SN and between the SN and FPN, whereas hyperconnectivity was evident between the DMN and FPN and between the DMN and dorsal SN. This pattern of network alterations was associated with gray matter reductions in patients and was localized in regions that subserve general cognitive performance. This study is the first to provide meta-analytic evidence of common alterations of functional connectivity within and between neurocognitive networks. The findings suggest a shared mechanism of network interactions that may associate with the generalized cognitive deficits observed in psychiatric disorders.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0006-3223
1873-2402
1873-2402
DOI:10.1016/j.biopsych.2018.11.011