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Large-scale brain networks and psychopathology: a unifying triple network model
Authors:Menon Vinod
Affiliation:1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanfod, CA 94305, USA;2Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA;3Program in Neuroscience, Stanford University School of Medicine, Stanford, CA 94305, USA;4Stanford Institute for Neuro-Innovation and Translational Neurosciences, Stanford University School of Medicine, Stanford, CA 94305, USA
Abstract:The science of large-scale brain networks offers a powerful paradigm for investigating cognitive and affective dysfunction in psychiatric and neurological disorders. This review examines recent conceptual and methodological developments which are contributing to a paradigm shift in the study of psychopathology. I summarize methods for characterizing aberrant brain networks and demonstrate how network analysis provides novel insights into dysfunctional brain architecture. Deficits in access, engagement and disengagement of large-scale neurocognitive networks are shown to play a prominent role in several disorders including schizophrenia, depression, anxiety, dementia and autism. Synthesizing recent research, I propose a triple network model of aberrant saliency mapping and cognitive dysfunction in psychopathology, emphasizing the surprising parallels that are beginning to emerge across psychiatric and neurological disorders.
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