Rotman Research Institute, Baycrest Health Sciences, Canada.
Department of Radiology and Department of Paediatrics, University of Calgary, Canada; Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, University of Calgary, Canada; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Neuroimage. 2021 Apr 15;230:117783. doi: 10.1016/j.neuroimage.2021.117783. Epub 2021 Jan 28.
The desire to enhance the sensitivity and specificity of resting-state (rs-fMRI) measures has prompted substantial recent research into removing noise components. Chief among contributions to noise in rs-fMRI are physiological processes, and the neuronal implications of respiratory-volume variability (RVT), a main rs-fMRI-relevant physiological process, is incompletely understood. The potential implications of RVT in modulating and being modulated by autonomic nervous regulation, has yet to be fully understood by the rs-fMRI community. In this work, we use high-density electroencephalography (EEG) along with simultaneously acquired RVT recordings to help address this question. We hypothesize that (1) there is a significant relationship between EEG and RVT in multiple EEG bands, and (2) that this relationship varies by brain region. Our results confirm our first hypothesis, although all brain regions are shown to be equally implicated in RVT-related EEG-signal fluctuations. The lag between RVT and EEG is consistent with previously reported values. However, an interesting finding is related to the polarity of the correlation between RVT and EEG. Our results reveal potentially two main regimes of EEG-RVT association, one in which EEG leads RVT with a positive association between the two, and one in which RVT leads EEG but with a negative association between the two. We propose that these two patterns can be interpreted differently in terms of the involvement of higher cognition. These results further suggest that treating RVT simply as noise is likely a questionable practice, and that more work is needed to avoid discarding cognitively relevant information when performing physiological correction rs-fMRI.
为了提高静息态功能磁共振成像 (rs-fMRI) 测量的灵敏度和特异性,最近人们对去除噪声成分进行了大量研究。对 rs-fMRI 噪声有主要贡献的是生理过程,而呼吸量变化 (RVT) 作为一个主要的 rs-fMRI 相关生理过程,其神经学意义尚未被完全理解。RVT 对自主神经调节的调节和被调节的潜在影响,尚未被 rs-fMRI 研究人员完全理解。在这项工作中,我们使用高密度脑电图 (EEG) 以及同时采集的 RVT 记录来帮助解决这个问题。我们假设:(1) EEG 与多个 EEG 频段的 RVT 之间存在显著关系;(2) 这种关系因脑区而异。我们的结果证实了我们的第一个假设,尽管所有脑区都被证明与 RVT 相关的 EEG 信号波动有关。RVT 和 EEG 之间的滞后与之前报道的值一致。然而,一个有趣的发现与 RVT 和 EEG 之间相关性的极性有关。我们的结果揭示了 EEG-RVT 关联的两个主要模式,一个是 EEG 领先于 RVT,两者之间存在正相关,另一个是 RVT 领先于 EEG,但两者之间存在负相关。我们提出,这两种模式可以根据更高认知的参与来进行不同的解释。这些结果进一步表明,将 RVT 简单地视为噪声可能是一种有问题的做法,在进行生理校正 rs-fMRI 时,需要做更多的工作来避免丢弃与认知相关的信息。