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Title: Cognition-related brain networks underpin the symptoms of unipolar depression: evidence from a systematic review
Austin Authors: Rayner, Genevieve ;Jackson, Graeme;Wilson, Sarah J
Affiliation: Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
The Florey Institute of Neuroscience and Mental Health (Austin Campus), Brain Research Institute, Melbourne Brain Centre, Heidelberg, Victoria, Australia
Comprehensive Epilepsy Programme, Austin Health, Melbourne Brain Centre, Heidelberg, Victoria, Australia
Issue Date: Feb-2016 2015-11-10
Publication information: Neuroscience & Biobehavioral Reviews 2016; 61: 53-56
Abstract: This systematic review sources the latest neuroimaging evidence for the role of cognition-related brain networks in depression, and relates their abnormal functioning to symptoms of the disorder. Using theoretically informed and rigorous inclusion criteria, we integrate findings from 59 functional neuroimaging studies of adults with unipolar depression using a narrative approach. Results demonstrate that two distinct neurocognitive networks, the autobiographic memory network (AMN) and the cognitive control network (CCN), are central to the symptomatology of depression. Specifically, hyperactivity of the introspective AMN is linked to pathological brooding, self-blame, rumination. Anticorrelated under-engagement of the CCN is associated with indecisiveness, negative automatic thoughts, poor concentration, distorted cognitive processing. Downstream effects of this imbalance include reduced regulation of networks linked to the vegetative and affective symptoms of depression. The configurations of these networks can change between individuals and over time, plausibly accounting for both the variable presentation of depressive disorders and their fluctuating course. Framing depression as a disorder of neurocognitive networks directly links neurobiology to psychiatric practice, aiding researchers and clinicians alike.
DOI: 10.1016/j.neubiorev.2015.09.022
PubMed URL:
Type: Journal Article
Subjects: Affect
Depressive Symptoms
Functional Neuroimaging
Neural networks (anatomic)
Appears in Collections:Journal articles

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