Measures and Models of Brain-Heart Interactions
Diego Candia-Rivera, Luca Faes, Fabrizio De Vico Fallani, Mario Chavez

TL;DR
This review discusses current signal processing techniques for measuring and modeling brain-heart interactions, emphasizing their role as biomarkers and their potential in neurological and psychiatric disorder assessment.
Contribution
It provides a comprehensive overview of methodologies, usability, challenges, and future directions in brain-heart interaction research and biomarker development.
Findings
Methodologies have advanced understanding of neural disruptions on brain-heart interactions.
Current techniques serve as biomarkers for nervous system state evaluation.
Potential for disease stratification in neurological and psychiatric disorders.
Abstract
The exploration of brain-heart interactions within various paradigms, including affective computing, human-computer interfaces, and sensorimotor evaluation, stands as a significant milestone in biomarker development and neuroscientific research. A range of techniques, spanning from molecular to behavioral approaches, has been proposed to measure these interactions. Different frameworks use signal processing techniques, from the estimation of brain responses to individual heartbeats to higher-order dynamics linking cardiac inputs to changes in brain organization. This review provides an overview to the most notable signal processing strategies currently used for measuring and modeling brain-heart interactions. It discusses their usability and highlights the main challenges that need to be addressed for future methodological developments. Current methodologies have deepened our…
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