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A brain network model for depression: From symptom understanding to disease intervention

Journal

CNS NEUROSCIENCE & THERAPEUTICS
Volume 24, Issue 11, Pages 1004-1019

Publisher

WILEY
DOI: 10.1111/cns.12998

Keywords

affective network; cognitive control network; default mode network; depression; reward network

Funding

  1. NLM Family Foundation
  2. National Key Technologies R & D Program of China [2015BAI13B00, 2015BAI13B01]
  3. National Natural Science Foundation of China [61420106001, 81230035, 81301199, 81630032]
  4. Wellcome Trust [088130/Z/09/Z]
  5. National Clinical Research Center on Mental Disorders [2015BAI13B02]

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Understanding the neural substrates of depression is crucial for diagnosis and treatment. Here, we review recent studies of functional and effective connectivity in depression, in terms of functional integration in the brain. Findings from these studies, including our own, point to the involvement of at least four networks in patients with depression. Elevated connectivity of a ventral limbic affective network appears to be associated with excessive negative mood (dysphoria) in the patients; decreased connectivity of a frontal-striatal reward network has been suggested to account for loss of interest, motivation, and pleasure (anhedonia); enhanced default mode network connectivity seems to be associated with depressive rumination; and diminished connectivity of a dorsal cognitive control network is thought to underlie cognitive deficits especially ineffective top-down control of negative thoughts and emotions in depressed patients. Moreover, the restoration of connectivity of these networks-and corresponding symptom improvement-following antidepressant treatment (including medication, psychotherapy, and brain stimulation techniques) serves as evidence for the crucial role of these networks in the pathophysiology of depression.

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