title: Common Dimensional Reward Deficits Across Mood and Psychotic Disorders: A Connectome-Wide Association Study.
abstract: Anhedonia is central to multiple psychiatric disorders and causes substantial disability. A dimensional conceptualization posits that anhedonia severity is related to a transdiagnostic continuum of reward deficits in specific neural networks. Previous functional connectivity studies related to anhedonia have focused on case-control comparisons in specific disorders, using region-specific seed-based analyses. Here, the authors explore the entire functional connectome in relation to reward responsivity across a population of adults with heterogeneous psychopathology.
  
  
  
  In a sample of 225 adults from five diagnostic groups (major depressive disorder, N=32; bipolar disorder, N=50; schizophrenia, N=51; psychosis risk, N=39; and healthy control subjects, N=53), the authors conducted a connectome-wide analysis examining the relationship between a dimensional measure of reward responsivity (the reward sensitivity subscale of the Behavioral Activation Scale) and resting-state functional connectivity using multivariate distance-based matrix regression.
  
  
  
  The authors identified foci of dysconnectivity associated with reward responsivity in the nucleus accumbens, the default mode network, and the cingulo-opercular network. Follow-up analyses revealed dysconnectivity among specific large-scale functional networks and their connectivity with the nucleus accumbens. Reward deficits were associated with decreased connectivity between the nucleus accumbens and the default mode network and increased connectivity between the nucleus accumbens and the cingulo-opercular network. In addition, impaired reward responsivity was associated with default mode network hyperconnectivity and diminished connectivity between the default mode network and the cingulo-opercular network.
  
  
  
  These results emphasize the centrality of the nucleus accumbens in the pathophysiology of reward deficits and suggest that dissociable patterns of connectivity among large-scale networks are critical to the neurobiology of reward dysfunction across clinical diagnostic categories.
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Anup
authors.initials: A
authors.lastname: Sharma
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Daniel H
authors.initials: DH
authors.lastname: Wolf
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Rastko
authors.initials: R
authors.lastname: Ciric
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Joseph W
authors.initials: JW
authors.lastname: Kable
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Tyler M
authors.initials: TM
authors.lastname: Moore
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Simon N
authors.initials: SN
authors.lastname: Vandekar
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Natalie
authors.initials: N
authors.lastname: Katchmar
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Aylin
authors.initials: A
authors.lastname: Daldal
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Kosha
authors.initials: K
authors.lastname: Ruparel
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Christos
authors.initials: C
authors.lastname: Davatzikos
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Elliott
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Monica E
authors.initials: ME
authors.lastname: Calkins
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Russell T
authors.initials: RT
authors.lastname: Shinohara
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Danielle S
authors.initials: DS
authors.lastname: Bassett
authors.affiliation: From the Departments of Psychiatry, Psychology, Biostatistics and Epidemiology, Radiology, Bioengineering, Perelman School of Medicine, and the Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia.
authors.forename: Theodore D
authors.initials: TD
authors.lastname: Satterthwaite
mesh_terms: D000328:Adult; D059445:Anhedonia / Q000502:physiology*; D001714:Bipolar Disorder / Q000503:physiopathology / Q000523:psychology; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping; D063132:Connectome / Q000523:psychology*; D003865:Major Depressive Disorder / Q000503:physiopathology / Q000523:psychology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008636:Mesencephalon / Q000503:physiopathology; D008875:Middle Aged; D019964:Mood Disorders / Q000175:diagnosis / Q000503:physiopathology* / Q000523:psychology*; D009415:Nerve Net / Q000503:physiopathology; D009714:Nucleus Accumbens / Q000503:physiopathology; D011618:Psychotic Disorders / Q000175:diagnosis / Q000503:physiopathology* / Q000523:psychology*; D012201:Reward; D012559:Schizophrenia / Q000175:diagnosis / Q000503:physiopathology; D012565:Schizophrenic Psychology; D066328:Ventral Striatum / Q000503:physiopathology; D055815:Young Adult
keywords: Anhedonia; Psychiatry; Resting State fMRI; Reward