title: The neuroscience of depression: implications for assessment and intervention.
abstract: Major Depressive Disorder (MDD) is among the most prevalent of all psychiatric disorders and is the single most burdensome disease worldwide. In attempting to understand the profound deficits that characterize MDD across multiple domains of functioning, researchers have identified aberrations in brain structure and function in individuals diagnosed with this disorder. In this review we synthesize recent data from human neuroimaging studies in presenting an integrated neural network framework for understanding the impairments experienced by individuals with MDD. We discuss the implications of these findings for assessment of and intervention for MDD. We conclude by offering directions for future research that we believe will advance our understanding of neural factors that contribute to the etiology and course of depression, and to recovery from this debilitating disorder.
authors.affiliation: Stanford University School of Medicine, United States. Electronic address: mksingh@stanford.edu.
authors.forename: Manpreet K
authors.initials: MK
authors.lastname: Singh
authors.affiliation: Department of Psychology, Stanford University, United States.
authors.forename: Ian H
authors.initials: IH
authors.lastname: Gotlib
mesh_terms: D001921:Brain / Q000503:physiopathology*; D003866:Depressive Disorder / Q000175:diagnosis* / Q000503:physiopathology* / Q000523:psychology / Q000628:therapy; D006801:Humans; D009415:Nerve Net / Q000503:physiopathology*; D059906:Neuroimaging; D009488:Neurosciences; D011569:Psychiatric Status Rating Scales
keywords: Assessment; Depression; Intervention; Neuroimaging; Neuroscience; Treatment