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Complexity Modulation in functional Brain-Heart Interplay series driven by Emotional Stimuli: an early study using
Summary
This study reveals that brain-heart interplay (BHI) complexity increases during emotional states, particularly from heart to brain. This finding suggests BHI complexity may help characterize neurophysiological and pathological conditions.
Area of Science:
- Neuroscience
- Cardiology
- Psychology
- Psychiatry
Background:
- Functional brain-heart interplay (BHI) is a multidisciplinary field offering insights into neuroscience and clinical domains.
- Neural and heartbeat dynamics are nonlinear and complex, yet BHI complexity has not been analyzed.
- Existing research highlights the significance of brain-heart interactions in various physiological and psychological states.
Purpose of the Study:
- To investigate the complexity modulation of brain-heart interplay (BHI) during emotional elicitation.
- To analyze directional BHI complexity using electroencephalography and heart rate variability data.
- To explore the potential of BHI complexity as a biomarker for neurophysiological states.
Main Methods:
- Utilized an adhoc BHI model with electroencephalographic (EEG) and heart rate variability (HRV) data from 17 healthy subjects.
- Assessed BHI complexity during a resting state and emotional elicitation via image slideshow.
- Applied Fuzzy entropy analysis to directional BHI estimates across different frequency bands.
Main Results:
- Brain-heart interplay complexity significantly increased during emotional elicitation compared to rest.
- The increase in complexity was particularly pronounced in the heart-to-brain direction.
- Channel-wise Fuzzy entropy analysis revealed condition-specific complexity changes.
Conclusions:
- Brain-heart interplay complexity is modulated by emotional states.
- Increased BHI complexity, especially heart-to-brain, may indicate heightened neurophysiological activity during emotion.
- BHI complexity analysis presents a promising computational approach for characterizing diverse neurophysiological and pathological states.
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