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Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and

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This study introduces a new method to link cognitive models across tasks, revealing distinct dimensions of impulsivity. Substance users show more impulsive behavior, but the specific cognitive deficits differ between tasks.

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Area of Science:

  • Cognitive Neuroscience
  • Behavioral Economics
  • Psychometrics

Background:

  • Cognitive models quantify decision-making processes but comparing models across tasks is challenging.
  • Existing methods struggle to determine if different tasks measure the same underlying cognitive traits.
  • Understanding shared versus distinct cognitive processes is crucial for accurate assessment.

Purpose of the Study:

  • Develop a method to model behavior across multiple tasks by linking cognitive model parameters to common latent constructs.
  • Evaluate whether two distinct tasks measure the same cognitive dimensions.
  • Improve cognitive model estimation by accounting for overlapping processes.

Main Methods:

  • Developed a novel approach for cross-task behavioral modeling.
  • Applied the method to data from the delay discounting task and the Cambridge gambling task.
  • Connected cognitive model parameters to latent constructs to assess shared dimensions of impulsivity.

Main Results:

  • Discounting rate parameters from the two tasks were not closely related.
  • Substance users exhibited more impulsive behavior on both tasks.
  • Delay discounting was linked to externalizing psychopathology (aggression), while Cambridge gambling task performance related to response inhibition failures.

Conclusions:

  • The developed method effectively connects behavior across tasks, offering new insights into cognitive processes.
  • Impulsivity is a multi-dimensional construct, with different tasks capturing distinct facets.
  • Findings highlight the differential relationships between specific decision-making deficits, impulsivity dimensions, and substance use.