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是时候了——呼吸动力学调节情绪和认知。

It's About Time-Breathing Dynamics Modulate Emotion and Cognition.

作者信息

Goheen Josh, Çatal Yasir, MacPhee Imola, Call Tyler, Carson Cameron, Ali Reem, Khan Rabeaa, Weche Kareen, Anderson John A E, Northoff Georg

机构信息

Department of Cognitive Science, Carleton University, Ottawa, Ontario, Canada.

The Royal and the University of Ottawa's Institute of Mental Health Research, Ottawa, Ontario, Canada.

出版信息

Psychophysiology. 2025 Sep;62(9):e70149. doi: 10.1111/psyp.70149.

Abstract

The breathing rate, phase, and amplitude have been shown to track changes in emotional states such as anxiety and cognitive performance in tasks that involve perception, attention, and short-term memory. It is common practice to characterize breathing by using a block average breathing rate, phase, or amplitude. While these features are useful for measuring the central tendencies of breathing, they do not capture the structure of the patterns of change in its activity over time (i.e., breathing dynamics) whose relationship with affective and cognitive processes remains unclear. To fill this knowledge gap, we characterized breathing dynamics by a set of measures that capture the breathing signal's rate and amplitude central tendency, variability, complexity, entropy, and timescales. Then, we conducted a principal components analysis and demonstrated that these metrics capture similar, yet distinct features of the breathing rate and amplitude time series. Next, we showed that breathing dynamics change across rest and task conditions, suggesting they may be sensitive to changes in behavioral states. Finally, using multivariate analyses, we demonstrated that breathing complexity and entropy in the resting state are strongly and positively correlated with anxiety levels, while breathing variability in the task state is strongly and negatively associated with working memory performance. Our findings extend the current understanding of how breathing is associated with affective and cognitive processes by highlighting the key role of dynamics in that relationship.

摘要

呼吸频率、相位和幅度已被证明可跟踪情绪状态的变化,如焦虑,以及在涉及感知、注意力和短期记忆的任务中的认知表现。通过使用分组平均呼吸频率、相位或幅度来表征呼吸是常见的做法。虽然这些特征对于测量呼吸的集中趋势很有用,但它们没有捕捉到其活动随时间变化的模式结构(即呼吸动力学),其与情感和认知过程的关系仍不清楚。为了填补这一知识空白,我们通过一组测量方法来表征呼吸动力学,这些方法捕捉呼吸信号的频率和幅度集中趋势、变异性、复杂性、熵和时间尺度。然后,我们进行了主成分分析,并证明这些指标捕捉到了呼吸频率和幅度时间序列中相似但又不同的特征。接下来,我们表明呼吸动力学在休息和任务条件下会发生变化,这表明它们可能对行为状态的变化敏感。最后,使用多变量分析,我们证明静息状态下的呼吸复杂性和熵与焦虑水平呈强正相关,而任务状态下的呼吸变异性与工作记忆表现呈强负相关。我们的研究结果通过强调动力学在这种关系中的关键作用,扩展了目前对呼吸如何与情感和认知过程相关联的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/12424284/9d2c919d379d/PSYP-62-e70149-g005.jpg

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