New review article: Heartbeat-evoked cortical responses (NeuroImage)

© H. Park / EPFL 2019

© H. Park / EPFL 2019

Heartbeat-evoked cortical responses - underlying mechanisms, functional roles, and methodological considerations.

Hyeong-dong Park and Olaf Blanke have published an invited review article for the special issue ‘Imaging the brain and body’ in NeuroImage. This paper outlines the underlying mechanisms, functional roles, and methodological issues of heartbeat-evoked cortical responses.

Abstract
The heart continuously and cyclically communicates with the brain. Beyond homeostatic regulation and sensing, recent neuroscience research has started to shed light on brain-heart interactions in diverse cognitive and emotional processes. In particular, neural responses to heartbeats, as measured with the so-called heartbeat-evoked potential, have been shown to be useful for investigating cortical activity processing cardiac signals. In this review, we first overview and discuss the basic properties of the HEP such as underlying physiological pathways, brain regions, and neural mechanisms. We then provide a systematic review of the mental processes associated with cortical HEP activations, notably heartbeat perception, emotional feelings, perceptual awareness, and self-consciousness, in healthy subjects and clinical populations. Finally, we discuss methodological issues regarding the experimental design and data analysis for separating genuine HEP components from physiological artifacts (e.g., cardiac field artifact, pulse artifact) or other neural activities that are not specifically associated with the heartbeat. Findings from this review suggest that when intrinsic limitations (e.g., artifacts) are carefully controlled, the HEP could provide a reliable neural measure for investigating brain-viscera interactions in diverse mental processes.

References

Park, H.-D. & Blanke, O. Heartbeat-evoked cortical responses: Underlying mechanisms, functional roles, and methodological considerations. NeuroImage197, 502–511 (2019). https://doi.org/10.1016/j.neuroimage.2019.04.081