Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Authors

Aristeidis Sotiras (ORCID: https://orcid.org/0000-0003-0795-8820)
Tom Earnest (ORCID: https://orcid.org/0000-0001-8671-8424)
E. Leighton Durham (ORCID: https://orcid.org/0000-0003-1934-704X)
Benjamin B. Lahey (ORCID: https://orcid.org/0000-0002-0385-9676)
Hee Jung Jeong (ORCID: https://orcid.org/0000-0002-7973-6146)
Tyler M. Moore (ORCID: https://orcid.org/0000-0002-1384-0151)
Camille Archer
Gabrielle E. Reimann (ORCID: https://orcid.org/0000-0002-7398-3437)
Antonia N. Kaczkurkin (ORCID: https://orcid.org/0000-0002-0943-3094)
Randolph M. Dupont

Institutions

University of Nevada, Las Vegas (US)
Chicago Department of Public Health (US)
Vanderbilt University (US)
University of Chicago (US)
Institute for Medical Informatics and Biostatistics (CH)
University of Pennsylvania (US)

Publication Details

Journal: Journal of Psychopathology and Clinical Science
Published: 2024-10-31
DOI: https://doi.org/10.1037/abn0000898
Primary Topic: Mental Health Research Topics
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Science Foundation
Brain and Behavior Research Foundation
American Psychological Foundation
Children's Hospital of Philadelphia
University of Pennsylvania
National Alliance for Research on Schizophrenia and Depression
National Institutes of Health
National Institute of Mental Health
National Institute on Drug Abuse
National Center for Advancing Translational Sciences

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article

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Aristeidis Sotiras, Tom Earnest, E. Leighton Durham, Benjamin B. Lahey et al.

Oct 31, 2024

Journal of Psychopathology and Clinical Science

Mental Health Research Topics

article

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Aristeidis Sotiras, Tom Earnest, E. Leighton Durham, Benjamin B. Lahey, Hee Jung Jeong, Tyler M. Moore, Camille Archer, Gabrielle E. Reimann, Antonia N. Kaczkurkin, Randolph M. Dupont

October 31, 2024article en

Abstract

No abstract available for this paper.

Journal of Psychopathology and Clinical ScienceVol. 133(8)

University of Nevada, Las Vegas (US), Chicago Department of Public Health (US), Vanderbilt University (US), University of Chicago (US), Institute for Medical Informatics and Biostatistics (CH), University of Pennsylvania (US)

National Science Foundation, Brain and Behavior Research Foundation, American Psychological Foundation, Children's Hospital of Philadelphia, University of Pennsylvania, National Alliance for Research on Schizophrenia and Depression, National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse, National Center for Advancing Translational Sciences

Openalex Percentile: Top 76%

Mental Health Research Topics

DOI Open Access PDF OpenAlex

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Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood. — Aristeidis Sotiras, Tom Earnest, et al. · Journal of Psychopathology and Clinical Science (2024) | TGRS Research Map | TGRS