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Related Experiment Video

Updated: May 21, 2025

Vagus Nerve Stimulation as a Tool to Induce Plasticity in Pathways Relevant for Extinction Learning
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Does Vagal Nerve Activity Predict Performance in a Naval Commando Selection Test?

Yosef Kula1, Zev Iversen2, Adi Cohen3

  • 1Department of Nursing, Faculty of social welfare and health sciences university of Haifa, Haifa, Israel.

Applied Psychophysiology and Biofeedback
|March 20, 2025
PubMed
Summary
This summary is machine-generated.

Heart rate variability (HRV) can predict success in special operations forces (SOF) selection. Higher HRV indicates better stress resilience, aiding in identifying elite candidates for high-stress roles.

Keywords:
Heart rate variabilityMilitary performanceSelection proceduresStressful environmentVagal nerve

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Area of Science:

  • Physiology
  • Military Science
  • Psychology

Background:

  • Special operations forces (SOF) require candidates with sustained performance under high stress.
  • Vagal nerve activity, measured by heart rate variability (HRV), is a key stress response moderator.
  • The predictive validity of HRV for SOF selection needs further clarification.

Purpose of the Study:

  • To examine the relationship between HRV and success in an intensive SOF selection procedure.
  • To assess the predictive value of HRV parameters, specifically RMSSD, for SOF candidate success.

Main Methods:

  • A historical prospective study involving 365 SOF naval unit candidates.
  • Collected 10-second ECGs to derive HRV parameter RMSSD approximately two months before selection.
  • Compared HRV with selection success, controlling for confounders like running scores.

Main Results:

  • Initially, high RMSSD showed a significant association with success.
  • This association disappeared after controlling for confounders.
  • After matching successful and non-successful candidates on confounders, HRV remained significantly related to performance.

Conclusions:

  • HRV demonstrates predictive value for SOF selection, indicating resilience to stress.
  • Improving selection accuracy using HRV can reduce candidate burden and save resources.
  • Future research should involve longitudinal HRV measurements with longer ECG recordings.