Brain and Mind Research Institute, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA.
Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA.
Nat Commun. 2020 Oct 20;11(1):5290. doi: 10.1038/s41467-020-18974-9.
Resting state functional connectivity magnetic resonance imaging (fMRI) is a tool for investigating human brain organization. Here we identify, visually and algorithmically, two prevalent influences on fMRI signals during 440 h of resting state scans in 440 healthy young adults, both caused by deviations from normal breathing which we term deep breaths and bursts. The two respiratory patterns have distinct influences on fMRI signals and signal covariance, distinct timescales, distinct cardiovascular correlates, and distinct tendencies to manifest by sex. Deep breaths are not sex-biased. Bursts, which are serial taperings of respiratory depth typically spanning minutes at a time, are more common in males. Bursts share features of chemoreflex-driven clinical breathing patterns that also occur primarily in males, with notable neurological, psychiatric, medical, and lifespan associations. These results identify common breathing patterns in healthy young adults with distinct influences on functional connectivity and an ability to differentially influence resting state fMRI studies.
静息态功能磁共振成像(fMRI)是一种研究人类大脑组织的工具。在这里,我们通过视觉和算法识别出在 440 名健康年轻成年人的 440 小时静息状态扫描中,两种常见的影响 fMRI 信号的因素,这两种因素都归因于正常呼吸的偏差,我们称之为深呼吸和呼吸爆发。这两种呼吸模式对 fMRI 信号和信号协方差有不同的影响,具有不同的时间尺度、不同的心血管相关性,以及不同的性别表现倾向。深呼吸没有性别偏向。呼吸爆发是呼吸深度的连续变细,通常一次持续几分钟,在男性中更为常见。呼吸爆发具有化学感受反射驱动的临床呼吸模式的特征,这些模式也主要发生在男性中,与显著的神经、精神、医学和寿命相关。这些结果在健康的年轻成年人中确定了常见的呼吸模式,这些模式对功能连接有不同的影响,并具有不同的能力来影响静息状态 fMRI 研究。