• FuCynthia H YCHYSchool of Psychology, University of East London, Arthur Edwards Building, Water Lane, London E15 4LZ, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic a, Yong Fan, and Christos Davatzikos.
• School of Psychology, University of East London, Arthur Edwards Building, Water Lane, London E15 4LZ, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: c.fu@uel.ac.uk.
• Neuroimaging Clin. N. Am. 2020 Feb 1; 30 (1): 859585-95.

AbstractMajor depression is common and debilitating. Identifying neurobiological subtypes that comprise the disorder and predict clinical outcome are key challenges. Genetic and environmental factors leading to major depression are expressed in neural structure and function. Volumetric decreases in gray matter have been demonstrated in corticolimbic circuits involved in emotion regulation. MR imaging observable abnormalities reflect cytoarchitectonic alterations within a local neuroendocrine milieu with systemic effects. Multivariate pattern analysis offers the potential to identify the neurobiological subtypes and predictors of clinical outcome. It is essential to characterize disease heterogeneity by incorporating data-driven inductive and symptom-based deductive approaches in an iterative process.Copyright © 2019 Elsevier Inc. All rights reserved.

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