期刊论文详细信息
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS 卷:61
Cognition and resting-state functional connectivity in schizophrenia
Review
Sheffield, Julia M.1  Barch, Deanna M.1,2,3 
[1] Washington Univ, Dept Psychol, 1 Brookings Dr, St Louis, MO 63130 USA
[2] Washington Univ, Dept Psychiat, 4940 Childrens Pl, St Louis, MO 63130 USA
[3] Washington Univ, Dept Radiol, 224 Euclid Ave, St Louis, MO 63130 USA
关键词: Schizophrenia;    Cognition;    IQ;    Executive functioning;    Generalized cognitive deficit;    Resting-state fMRI;    Functional connectivity;    Functional brain networks;    Go/NoGo;    Reinforcement learning;    Default mode network;    Task-positive networks;    Cognitive dysmetria;   
DOI  :  10.1016/j.neubiorev.2015.12.007
来源: Elsevier
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【 摘 要 】

Individuals with schizophrenia consistently display deficits in a multitude of cognitive domains, but the neurobiological source of these cognitive impairments remains unclear. By analyzing the functional connectivity of resting-state functional magnetic resonance imaging (rs-fcMRl) data in clinical populations like schizophrenia, research groups have begun elucidating abnormalities in the intrinsic communication between specific brain regions, and assessing relationships between these abnormalities and cognitive performance in schizophrenia. Here we review studies that have reported analysis of these brain-behavior relationships. Through this systematic review we found that patients with schizophrenia display abnormalities within and between regions comprising (1) the cortico-cerebellar-striatal-thalamic loop and (2) task-positive and task-negative cortical networks. Importantly, we did not observe unique relationships between specific functional connectivity abnormalities and distinct cognitive domains, suggesting that the observed functional systems may underlie mechanisms that are shared across cognitive abilities, the disturbance of which could contribute to the generalized cognitive deficit found in schizophrenia. We also note several areas of methodological change that we believe will strengthen this literature. (C) 2015 Elsevier Ltd. All rights reserved.

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