Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:2306-2309. doi: 10.1109/EMBC48229.2022.9871938.
Increasing attention has recently been devoted to the multidisciplinary investigation of functional brain-heart interplay (BHI), which has provided meaningful insights in neuroscience and clinical domains including cardiology, neurology, clinical psychology, and psychiatry. While neural (brain) and heartbeat series show high nonlinear and complex dynamics, a complexity analysis on BHI series has not been performed yet. To this end, in this preliminary study, we investigate BHI complexity modulation in 17 healthy subjects undergoing a 3-minute resting state and emotional elicitation through standardized image slideshow. Electroencephalographic and heart rate variability series were the inputs of an adhoc BHI model, which provides directional (from-heart-to-brain and from-brain-to-heart) estimates at different frequency bands. A Fuzzy entropy analysis was performed channel-wise on the model output for the two experimental conditions. Results suggest that BHI complexity increases in the emotional elicitation phase with respect to a resting state, especially in the functional direction from the heart to the brain. We conclude that BHI complexity may be a viable computational tool to characterize neurophysiological and pathological states under different experimental conditions.
最近，人们越来越关注对功能性脑心相互作用（BHI）的多学科研究，这为神经科学和临床领域（包括心脏病学、神经病学、临床心理学和精神病学）提供了有意义的见解。虽然神经（大脑）和心跳系列显示出高度的非线性和复杂动力学，但尚未对 BHI 系列进行复杂性分析。为此，在这项初步研究中，我们通过标准化的幻灯片展示，研究了 17 名健康受试者在 3 分钟静息状态和情绪诱发期间的 BHI 复杂性调制。脑电和心率变异性系列是一个特定的 BHI 模型的输入，该模型在不同的频带提供了方向（从心到脑和从脑到心）的估计。对模型输出进行了基于模糊熵的通道分析，以用于两种实验条件。结果表明，与静息状态相比，BHI 复杂性在情绪诱发阶段增加，特别是在从心脏到大脑的功能方向上。我们得出结论，BHI 复杂性可能是一种可行的计算工具，可用于在不同的实验条件下描述神经生理和病理状态。
