Modeling Brain-heart Interactions from Poincaré Plot-derived Measures of Sympathetic-vagal Activity

Overview

Journal MethodsX

Specialty Pathology

Date 2023 Mar 27

PMID 36970022

Authors

Diego Candia-Rivera

Affiliations

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Abstract

Recent studies suggest that the interaction between the brain and heart plays a key role in cognitive processes, and measuring these interactions is crucial for understanding the interaction between the central and autonomic nervous systems. However, studying this bidirectional interplay presents methodological challenges, and there is still much room for exploration. This paper presents a new computational method called the Poincaré Sympathetic-Vagal Synthetic Data Generation Model (PSV-SDG) for estimating brain-heart interactions. The PSV-SDG combines EEG and cardiac sympathetic-vagal dynamics to provide time-varying and bidirectional estimators of mutual interplay. The method is grounded in the Poincaré plot, a heart rate variability method to estimate sympathetic-vagal activity that can account for potential non-linearities. This algorithm offers a new approach and computational tool for functional assessment of the interplay between EEG and cardiac sympathetic-vagal activity. The method is implemented in MATLAB under an open-source license. • A new brain-heart interaction modeling approach is proposed. • The modeling is based on coupled synthetic data generators of EEG and heart rate series. • Sympathetic and vagal activities are gathered from Poincaré plot geometry.

Citing Articles

Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices.

Candia-Rivera D, Fallani F, Chavez M R Soc Open Sci. 2025; 12(1):240750.

PMID: 39816735 PMC: 11732425. DOI: 10.1098/rsos.240750.

Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices.

Candia-Rivera D, Fallani F, Chavez M bioRxiv. 2024; .

PMID: 39386517 PMC: 11463643. DOI: 10.1101/2023.11.18.567211.

Measures of the coupling between fluctuating brain network organization and heartbeat dynamics.

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PMID: 38952808 PMC: 11168717. DOI: 10.1162/netn_a_00369.

Intracortical brain-heart interplay: An EEG model source study of sympathovagal changes.

Catrambone V, Candia-Rivera D, Valenza G Hum Brain Mapp. 2024; 45(6):e26677.

PMID: 38656080 PMC: 11041380. DOI: 10.1002/hbm.26677.

A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease.

Candia-Rivera D, Vidailhet M, Chavez M, Fallani F Hum Brain Mapp. 2024; 45(5):e26668.

PMID: 38520378 PMC: 10960553. DOI: 10.1002/hbm.26668.

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