Literature DB >> 29931740

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

Bao-Juan Li1,2, Karl Friston3, Maria Mody2, Hua-Ning Wang4, Hong-Bing Lu1, De-Wen Hu5.   

Abstract

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.
© 2018 John Wiley & Sons Ltd.

Entities:  

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

Mesh:

Year:  2018        PMID: 29931740      PMCID: PMC6490158          DOI: 10.1111/cns.12998

Source DB:  PubMed          Journal:  CNS Neurosci Ther        ISSN: 1755-5930            Impact factor:   5.243


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Review 4.  A brain network model for depression: From symptom understanding to disease intervention.

Authors:  Bao-Juan Li; Karl Friston; Maria Mody; Hua-Ning Wang; Hong-Bing Lu; De-Wen Hu
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