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Neurocognitive and functional heterogeneity in depressed youth.
Baller, Erica B; Kaczkurkin, Antonia N; Sotiras, Aristeidis; Adebimpe, Azeez; Bassett, Danielle S; Calkins, Monica E; Chand, Ganesh B; Cui, Zaixu; Gur, Raquel E; Gur, Ruben C; Linn, Kristin A; Moore, Tyler M; Roalf, David R; Varol, Erdem; Wolf, Daniel H; Xia, Cedric H; Davatzikos, Christos; Satterthwaite, Theodore D.
Affiliation
  • Baller EB; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Kaczkurkin AN; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Sotiras A; Department of Psychology, Vanderbilt University, Nashville, TN, 37235, USA.
  • Adebimpe A; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Bassett DS; Department of Radiology, Washington University, St. Louis, MO, 63130, USA.
  • Calkins ME; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Chand GB; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Cui Z; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Gur RE; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Gur RC; Penn Center for Neuroimaging and Therapeutics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Linn KA; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Moore TM; Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Roalf DR; Department of Physics and Astronomy, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Varol E; Santa Fe Institute, Santa Fe, NM, 87501, USA.
  • Wolf DH; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Xia CH; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • Davatzikos C; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Satterthwaite TD; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Neuropsychopharmacology ; 46(4): 783-790, 2021 03.
Article de En | MEDLINE | ID: mdl-33007777
ABSTRACT
Depression is a common psychiatric illness that often begins in youth, and is sometimes associated with cognitive deficits. However, there is significant variability in cognitive dysfunction, likely reflecting biological heterogeneity. We sought to identify neurocognitive subtypes and their neurofunctional signatures in a large cross-sectional sample of depressed youth. Participants were drawn from the Philadelphia Neurodevelopmental Cohort, including 712 youth with a lifetime history of a major depressive episode and 712 typically developing (TD) youth matched on age and sex. A subset (MDD n = 368, TD n = 200) also completed neuroimaging. Cognition was assessed with the Penn Computerized Neurocognitive Battery. A recently developed semi-supervised machine learning algorithm was used to delineate neurocognitive subtypes. Subtypes were evaluated for differences in both clinical psychopathology and brain activation during an n-back working memory fMRI task. We identified three neurocognitive subtypes in the depressed group. Subtype 1 was high-performing (high accuracy, moderate speed), Subtype 2 was cognitively impaired (low accuracy, slow speed), and Subtype 3 was impulsive (low accuracy, fast speed). While subtypes did not differ in clinical psychopathology, they diverged in their activation profiles in regions critical for executive function, which mirrored differences in cognition. Taken together, these data suggest disparate mechanisms of cognitive vulnerability and resilience in depressed youth, which may inform the identification of biomarkers for prognosis and treatment response.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Trouble dépressif majeur Type d'étude: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limites: Adolescent / Humans Langue: En Journal: Neuropsychopharmacology Sujet du journal: NEUROLOGIA / PSICOFARMACOLOGIA Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Trouble dépressif majeur Type d'étude: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limites: Adolescent / Humans Langue: En Journal: Neuropsychopharmacology Sujet du journal: NEUROLOGIA / PSICOFARMACOLOGIA Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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