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Related Experiment Video

Updated: Sep 19, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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Mapping human brain topography to heart rhythms: an SEEG study.

Xiaopeng Wang1,2,3,4, Haoxun Yang1,2,3, Yueyang Cheng1,2,3

  • 1Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing 100053, China.

Cardiovascular Research
|June 5, 2025
PubMed
Summary

This study maps how the human brain processes heart rhythms, revealing a complex topography and identifying serotonin receptor 5-HT2a as a key player in this brain-heart communication.

Keywords:
Heartbeat-evoked potentialsHeart–brain interactionStereo-electroencephalography

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Area of Science:

  • Neuroscience
  • Cardiology
  • Systems Neuroscience

Background:

  • The brain-heart connection is crucial for health, yet brain mechanisms processing heart rhythms are poorly understood.
  • Dysfunction in this interplay is linked to cardiovascular and neurological disorders.

Purpose of the Study:

  • To characterize human brain processing of heart rhythms.
  • To map the brain's topography in response to heart rhythms.

Main Methods:

  • Used simultaneous electrocardiography and stereoelectroencephalography (SEEG) in 54 epilepsy patients.
  • Analyzed intracranial heartbeat-evoked potentials (HEPs) and employed Eigen microstates.
  • Mapped neurotransmitter receptor signatures onto HEP topography.

Main Results:

  • Identified a complex brain topography for heart rhythms, including thalamus, insula, amygdala, ACC, and prefrontal cortex.
  • Disentangled early and delayed HEP processing pathways (100-400ms post-R-peak).
  • Found serotonin receptor 5HT2a as a dominant cortical signature and linked HEP strength to heart rate changes.

Conclusions:

  • Generated a spatiotemporal map of HEPs across brain regions.
  • Established an association between HEP topography and neurotransmitter receptor distribution.
  • Provides a framework for understanding brain-heart signals and developing novel therapies.