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Working memory genetics in schizophrenia and related disorders: An RDoC perspective
Author(s) -
Schwarz Emanuel,
Tost Heike,
MeyerLindenberg Andreas
Publication year - 2016
Publication title -
american journal of medical genetics part b: neuropsychiatric genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 126
eISSN - 1552-485X
pISSN - 1552-4841
DOI - 10.1002/ajmg.b.32353
Subject(s) - schizophrenia (object oriented programming) , working memory , bipolar disorder , psychopathology , psychology , perspective (graphical) , research domain criteria , endophenotype , set (abstract data type) , autism , neuroscience , clinical psychology , cognitive psychology , psychiatry , cognition , computer science , artificial intelligence , programming language
Improved classification of mental disorders through neurobiological measures will require a set of traits that map to transdiagnostic subgroups of patients and align with heritable, core psychopathological processes at the center of the disorders of interest. A promising candidate is working memory (WM) function, for which deficits have been reported across multiple diagnostic entities including schizophrenia, bipolar disorder, ADHD, autism, and major depressive disorder. Here we review genetic working memory associations and their brain functional correlates from the perspective of identifying patient subgroups across conventional diagnostic boundaries, explore the utility of multimodal investigations integrating functional information at the neural systems level and explore potential limitations as well as future directions for research. © 2015 Wiley Periodicals, Inc.