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Updated: Jun 13, 2025

Reducing State Anxiety Using Working Memory Maintenance
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Anxiety involves altered planning.

Paul B Sharp1

  • 1Department of Psychology, Bar-Ilan University, Ramat Gan, Israel; The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel.

Trends in Cognitive Sciences
|November 27, 2024
PubMed
Summary
This summary is machine-generated.

This study proposes a computational framework to explain how anxiety impacts planning abilities. It highlights task construal and meta-control as key areas for understanding planning biases in anxiety.

Keywords:
anxietyplanningreinforcement learning

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Psychology

Background:

  • Anxiety is frequently linked to impaired cognitive functions.
  • Clinicians suspect anxiety affects planning, but empirical evidence and theoretical frameworks are lacking.

Purpose of the Study:

  • To develop a computational framework explaining planning alterations in anxiety.
  • To integrate existing models of planning to address anxiety-related biases.
  • To identify key mechanisms underlying planning deficits in anxiety.

Main Methods:

  • Synthesis and extension of computational models of planning.
  • Theoretical framework development.
  • Identification of promising research avenues within the framework.

Main Results:

  • A novel computational framework for understanding planning in anxiety is proposed.
  • Task construal and meta-control are identified as critical components.
  • The framework provides a basis for future empirical research.

Conclusions:

  • Computational modeling offers a powerful lens to investigate the cognitive underpinnings of anxiety.
  • Understanding task construal and meta-control is crucial for explaining planning biases in anxiety.
  • This framework can guide future research and clinical interventions for anxiety.