Quantifying Inhibitory Control as Externalizing Proneness: A Cross-Domain Model
Abstract
Recent mental health initiatives have called for a shift away from purely report-based conceptualizations of psychopathology toward a biobehaviorally oriented framework. The current work illustrates a measurement-oriented approach to challenges inherent in efforts to integrate biological and behavioral indicators with psychological-report variables. Specifically, we undertook to quantify the construct of inhibitory control (inhibition-disinhibition) as the individual difference dimension tapped by self-report, task-behavioral, and brain response indicators of susceptibility to disinhibitory problems (externalizing proneness). In line with prediction, measures of each type cohered to form domain-specific factors, and these factors loaded in turn onto a cross-domain inhibitory control factor reflecting the variance in common among the domain factors. Cross-domain scores predicted behavioral-performance and brain-response criterion measures as well as clinical problems (i.e., antisocial behaviors and substance abuse). Implications of this new cross-domain model for research on neurobiological mechanisms of inhibitory control and health/performance outcomes associated with this dispositional characteristic are discussed.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 03, 2018
- Source ID
- 10.1177/2167702618757690
Entities
People
- Christopher J. Patrick
- James R. Yancey
- Jens Foell
- Michael J. Kane
- Noah C. Venables
- Randall Engle
Organizations
- Florida State University
- Georgia Tech
- U.S. Army Research Institute for the Behavioral and Social Sciences
- University of North Carolina at Greensboro