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Updated: Jan 28, 2026

Autonomic Function Following Concussion in Youth Athletes: An Exploration of Heart Rate Variability Using 24-hour Recording Methodology
Published on: September 21, 2018
The Relationship Between Heart Rate Variability and Electroencephalography Functional Connectivity Variability Is
Guzmán Alba1, Jaime Vila1, Beatriz Rey2
1Brain, Mind and Behavior Research Center, University of Granada, Granada, Spain.
This study found that variability in brain signals and heart rate variability (HRV), when mediated by brain oscillations, can predict cognitive flexibility. Higher brain signal variability may directly predict performance on cognitive tasks.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Psychophysiology
Background:
- The neurovisceral integration model links heart rate activity and cognitive performance via neural networks.
- Understanding the relationship between physiological variability and cognitive functions is crucial.
Purpose of the Study:
- To investigate the relationship between heart rate variability (HRV), electroencephalographic (EEG) functional connectivity variability, and cognitive flexibility.
- To determine if physiological variability predicts performance on the CAMBIOS cognitive task.
Main Methods:
- Recorded heart rate and EEG activity in 38 students during a resting state.
- Calculated correlations, partial correlations, and multiple linear regressions among HRV, EEG connectivity, and CAMBIOS scores.
- Utilized one-way ANOVA to compare groups based on cognitive performance.
Main Results:
- Found significant correlations between cognitive flexibility, functional brain connectivity, and HRV.
- Demonstrated that the relationship between HRV and cognitive performance is mediated by neuronal oscillations.
- Confirmed that HRV and functional brain connectivity variability are associated with cognitive performance.
Conclusions:
- Variability in brain signals may predict cognitive flexibility.
- HRV's prediction of cognitive flexibility is dependent on mediation by neuronal oscillations.
- Physiological variability offers insights into cognitive flexibility mechanisms.
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