这是关于时间的——呼吸动态调节情绪和认知。

IF 2.8 2区 心理学 Q2 NEUROSCIENCES
Josh Goheen, Yasir Çatal, Imola MacPhee, Tyler Call, Cameron Carson, Reem Ali, Rabeaa Khan, Kareen Weche, John A E Anderson, Georg Northoff
{"title":"这是关于时间的——呼吸动态调节情绪和认知。","authors":"Josh Goheen, Yasir Çatal, Imola MacPhee, Tyler Call, Cameron Carson, Reem Ali, Rabeaa Khan, Kareen Weche, John A E Anderson, Georg Northoff","doi":"10.1111/psyp.70149","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":20913,"journal":{"name":"Psychophysiology","volume":"62 9","pages":"e70149"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12424284/pdf/","citationCount":"0","resultStr":"{\"title\":\"It's About Time-Breathing Dynamics Modulate Emotion and Cognition.\",\"authors\":\"Josh Goheen, Yasir Çatal, Imola MacPhee, Tyler Call, Cameron Carson, Reem Ali, Rabeaa Khan, Kareen Weche, John A E Anderson, Georg Northoff\",\"doi\":\"10.1111/psyp.70149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":20913,\"journal\":{\"name\":\"Psychophysiology\",\"volume\":\"62 9\",\"pages\":\"e70149\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12424284/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychophysiology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1111/psyp.70149\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychophysiology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/psyp.70149","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

研究表明,呼吸频率、阶段和幅度可以追踪情绪状态的变化,如焦虑和涉及感知、注意力和短期记忆的任务中的认知表现。通常的做法是通过使用块平均呼吸速率、相位或幅度来表征呼吸。虽然这些特征对于测量呼吸的中心趋势是有用的,但它们没有捕捉到随时间变化的活动模式的结构(即呼吸动力学),其与情感和认知过程的关系仍然不清楚。为了填补这一知识空白,我们通过一组捕获呼吸信号的速率和振幅集中趋势、变异性、复杂性、熵和时间尺度的测量来表征呼吸动力学。然后,我们进行了主成分分析,并证明这些指标捕获了呼吸频率和幅度时间序列的相似但不同的特征。接下来,我们展示了呼吸动力学在休息和任务条件下的变化,这表明它们可能对行为状态的变化很敏感。最后,通过多变量分析,我们发现静息状态下的呼吸复杂性和熵与焦虑水平呈强烈正相关,而任务状态下的呼吸可变性与工作记忆表现呈强烈负相关。我们的发现通过强调动态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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
It's About Time-Breathing Dynamics Modulate Emotion and Cognition.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Psychophysiology
Psychophysiology 医学-神经科学
CiteScore
6.80
自引率
8.10%
发文量
225
审稿时长
2 months
期刊介绍: Founded in 1964, Psychophysiology is the most established journal in the world specifically dedicated to the dissemination of psychophysiological science. The journal continues to play a key role in advancing human neuroscience in its many forms and methodologies (including central and peripheral measures), covering research on the interrelationships between the physiological and psychological aspects of brain and behavior. Typically, studies published in Psychophysiology include psychological independent variables and noninvasive physiological dependent variables (hemodynamic, optical, and electromagnetic brain imaging and/or peripheral measures such as respiratory sinus arrhythmia, electromyography, pupillography, and many others). The majority of studies published in the journal involve human participants, but work using animal models of such phenomena is occasionally published. Psychophysiology welcomes submissions on new theoretical, empirical, and methodological advances in: cognitive, affective, clinical and social neuroscience, psychopathology and psychiatry, health science and behavioral medicine, and biomedical engineering. The journal publishes theoretical papers, evaluative reviews of literature, empirical papers, and methodological papers, with submissions welcome from scientists in any fields mentioned above.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信