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Developing Dimensional, Pandiagnostic Inhibitory Control Constructs With Self-Report and Neuropsychological Data.

Natania A Crane1, Alvaro Vergés1,2, Masoud Kamali3

  • 1University of Illinois at Chicago, Chicago, IL, USA.

Assessment
|February 7, 2018
PubMed
Summary

This study found that inhibitory control (IC) measures converge across self-report and performance tests in healthy controls and bipolar disorder patients. This supports using combined measures to identify clinical risk.

Keywords:
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Area of Science:

  • Neuroscience
  • Psychiatry
  • Psychology

Background:

  • Identifying at-risk individuals requires trait markers linking different analytical units, such as self-report and performance measures, within the Research Domain Criteria (RDoC) framework.
  • Inhibitory control (IC) is a key executive function often impaired in psychiatric disorders.

Purpose of the Study:

  • To examine the factor structure and cross-group invariance of inhibitory control (IC) measures combining self-report and neuropsychological tests.
  • To evaluate the utility of these combined measures for identifying clinical risk in individuals with bipolar disorder (BD).

Main Methods:

  • Bifactor analyses were employed to assess the convergence and factor structure of self-report and performance-based IC measures.
  • Invariance testing was conducted across healthy controls (HC) and individuals with bipolar disorder (BD).

Main Results:

  • Modest convergence was observed between self-report and neuropsychological test items assessing IC in both HC and BD groups.
  • A general IC construct was identified across measures, with factor scores demonstrating invariance between groups.
  • Significant differences in the general IC factor were found for three of the four scales examined between groups.

Conclusions:

  • The convergence and invariance of IC measures support their use as combined dimensional indicators for identifying clinical risk.
  • These findings highlight the potential of integrating different units of analysis within RDoC studies for future research.