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Distinct Event-Related-Potential Biomarkers of Broad Versus Specific Dimensions of the Hierarchical Taxonomy of Psychopathology Externalizing Spectrum

  • Christopher J. Patrick
  • , Pablo Ribes-Guardiola
  • , Bruce D. Bartholow
  • , Alexander M. Kallen
  • , Emily R. Perkins
  • , Robert F. Krueger
  • , Colin G. DeYoung
  • , Roman Kotov
  • , Rita Pasion
  • , Sylia Wilson
  • , James R. Yancey
  • , Sarah J. Brislin
  • , Sally L. Cole
  • , David C. Cicero
  • , Christopher Conway
  • , Miriam K. Forbes
  • , Jeremy Harper
  • , Brian M. Hicks
  • , Christopher J. Hopwood
  • , William G. Iacono
  • Katherine G. Jonas, Antonia Kaczkurkin, Robert D. Latzman, Kristian E. Markon, Elizabeth A. Martin, Giorgia Michelini, Lindsay D. Nelson, Jonathan Schaefer, Martin Sellbom, Noah C. Venables, Irwin D. Waldman, Aidan G.C. Wright, David H. Zald, Keanan J. Joyner
  • Florida State University
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  • University of Minnesota Twin Cities
  • Lusófona University
  • Department of Veterans Affairs
  • Rutgers - The State University of New Jersey, New Brunswick
  • University of North Texas
  • Fordham University
  • Macquarie University
  • University of Michigan, Ann Arbor
  • University of Zurich
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  • Takeda Pharmaceutical Company Limited
  • University of California at Irvine
  • Queen Mary University of London
  • Medical College of Wisconsin
  • Monash University
  • Emory University
  • Rutgers University
  • University of California at Berkeley

Research output: Contribution to journalArticlepeer-review

Abstract

The Hierarchical Taxonomy of Psychopathology (HiTOP) provides a dimensional framework for connecting psychological disorders to neural systems/processes. We examined how neurophysiological measures of cognitive-attentional (oddball P300) and perceptual-emotional processing (fear-face N170/P200) relate to dimensions of the HiTOP externalizing spectrum. Employing 666 community participants, we fit a model in which antagonistic externalizing and substance-problems subfactors, defined via symptom and questionnaire-scale measures, loaded with a disinhibitory trait scale onto a higher-order externalizing factor. Hierarchical regression was used to evaluate how much observed relations of each neural measure with the two subfactors reflected their unique variance versus their covariance (reflected in the general factor). P300’s relations were fully accounted for by the general factor, suggesting that impaired cognitive processing characterizes broad risk for externalizing problems. Neural indicators of sensitivity to others’ distress (N170, P200) were uniquely related to antagonistic externalizing. Findings highlight the HiTOP framework’s potential to advance biobehavioral understanding of psychopathology.

Original languageEnglish
JournalClinical Psychological Science
DOIs
StateAccepted/In press - 2026

Keywords

  • ERPs
  • HiTOP
  • antagonism
  • event-related potentials
  • externalizing
  • substance use

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