期刊
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
卷 56, 期 -, 页码 330-344出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neubiorev.2015.07.014
关键词
Major depressive disorder; Functional connectivity; Independent component analysis; Seed-based correlation analysis; Default mode network; Central executive network; Salience network
Major depressive disorder (MDD) affects multiple large-scale functional networks in the brain, which has initiated a large number of studies on resting-state functional connectivity in depression. We review these recent studies using either seed-based correlation or independent component analysis and propose a model that incorporates changes in functional connectivity within current hypotheses of network-dysfunction in MOD. Although findings differ between studies, consistent findings include: (1) increased connectivity within the anterior default mode network, (2) increased connectivity between the salience network and the anterior default mode network, (3) changed connectivity between the anterior and posterior default mode network and (4) decreased connectivity between the posterior default mode network and the central executive network. These findings correspond to the current understanding of depression as a network-based disorder. (C) 2015 Elsevier Ltd. All rights reserved.
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