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Formalizing psychological interventions through network control theory.

Julia Elina Stocker1, Georgia Koppe2,3, Hanna Reich4,5

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Network control theory effectively models psychological interventions, linking network metrics to intervention effects and predicting outcomes. This approach offers a powerful new tool for understanding psychological change.

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Area of Science:

  • Psychology
  • Network Science
  • Control Theory

Background:

  • Network representations are increasingly used to understand psychological phenomena.
  • The application of network control theory to psychological interventions is under-explored.
  • Empirical validation is needed to assess the utility of network control theory in psychology.

Purpose of the Study:

  • To investigate the application of network control theory to a psychological intervention experiment.
  • To model the intervention and predict its effects using network control theory.
  • To assess the relationship between network control theoretic metrics and psychological intervention outcomes.

Main Methods:

  • Modeling a psychological intervention using network control theory.
  • Analyzing regional network control theoretic metrics (average and modal controllability).
  • Quantifying whole-network topology related to ease of change (control energy).

Main Results:

  • Observed psychological effects (sensitivity, specificity) correlate with regional network control metrics.
  • Intervention-induced change size negatively correlates with control energy.
  • Post-intervention responses can be predicted using control theory.

Conclusions:

  • Network control theory shows significant potential for analyzing psychological interventions.
  • The study provides empirical evidence for the utility of control theory in psychology.
  • Elaborates on conceptualization, methodology, and future research directions for network control theory in psychological interventions.