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从清醒到睡眠,白质中潜伏期结构的重组。

Reorganizations of latency structures within the white matter from wakefulness to sleep.

机构信息

Image Processing Center, School of Astronautics, Beihang University, 100191 Beijing, China.

Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

出版信息

Magn Reson Imaging. 2022 Nov;93:52-61. doi: 10.1016/j.mri.2022.08.005. Epub 2022 Aug 5.

DOI:10.1016/j.mri.2022.08.005
PMID:35934208
Abstract

Previous resting-state functional magnetic resonance imaging (fMRI) studies have revealed highly reproducible latency structures, reflecting the lead/lag relationship of BOLD fMRI signals in white matter (WM). With simultaneous electroencephalography and fMRI data from 35 healthy subjects who were instructed to sleep during imaging, we explored alterations of latency structures in the WM across wakefulness and nonrapid eye movement (NREM) sleep stages. Lagged cross-covariance was computed among voxelwise time series, followed by parabolic interpolation to determine the actual in-between latencies. WM regions, including the brainstem, internal capsule, optic radiation, genu of corpus callosum, and corona radiata, inconsistently changed temporal dynamics with respect to the rest of the WM across wakefulness and NREM sleep stages, as demonstrated when these regions were used as seeds for seed-based latency analysis. Latency analysis of resting-state networks, obtained by applying K-means clustering to a group-level functional connectivity matrix, identified a dominant direction of signaling, starting from the brainstem up to the internal capsule and then the corona radiata during wakefulness, which was reorganized according to stage transitions, e.g., the temporal organization of the internal capsule and corona radiata switched from unidirectional to bidirectional in the wakefulness to N3 transition. These findings suggest that WM BOLD signals are slow, dynamically modulated across wakefulness and NREM sleep stages and that they are involved in maintaining different levels of consciousness.

摘要

先前的静息态功能磁共振成像 (fMRI) 研究揭示了高度可重复的潜伏期结构,反映了脑白质 (WM) 中 BOLD fMRI 信号的领先/滞后关系。我们利用来自 35 名健康受试者的同步脑电图和 fMRI 数据,这些受试者在成像过程中被要求入睡,探索了清醒和非快速眼动 (NREM) 睡眠阶段之间 WM 中潜伏期结构的变化。在体素时间序列之间计算滞后交叉协方差,然后进行抛物线插值以确定实际的中间潜伏期。WM 区域,包括脑干、内囊、视辐射、胼胝体膝部和放射冠,在清醒和 NREM 睡眠阶段,与 WM 的其余部分相比,其时间动态不一致,当这些区域被用作基于种子的潜伏期分析的种子时,这一点得到了证明。通过将 K-均值聚类应用于组水平功能连接矩阵,对静息态网络进行潜伏期分析,确定了一个信号传递的主导方向,从脑干开始,到内囊,然后到放射冠,在清醒时,根据阶段转换进行了重新组织,例如,在从清醒到 N3 转换的过程中,内囊和放射冠的时间组织从单向变为双向。这些发现表明,WM 的 BOLD 信号是缓慢的,在清醒和 NREM 睡眠阶段动态调节,并且它们参与维持不同水平的意识。

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