Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea.
Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea; Supercomputing Bigdata Center, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea.
Neuroimage. 2024 Nov 1;301:120884. doi: 10.1016/j.neuroimage.2024.120884. Epub 2024 Oct 6.
Resting-state of the human brain has been described by a combination of various basis modes including the default mode network (DMN) identified by fMRI BOLD signals in human brains. Whether DMN is the most dominant representation of the resting-state has been under question. Here, we investigated the unexplored yet fundamental nature of the resting-state. In the absence of global signal regression for the analysis of brain-wide spatial activity pattern, the fMRI BOLD spatiotemporal signals during the rest were completely decomposed into time-invariant spatial-expression basis modes (SEBMs) and their time-evolution basis modes (TEBMs). Contrary to our conventional concept above, similarity clustering analysis of the SEBMs from 166 human brains revealed that the most dominant SEBM cluster is an asymmetric mode where the distribution of the sign of the components is skewed in one direction, for which we call essential mode (EM), whereas the second dominant SEBM cluster resembles the spatial pattern of DMN. Having removed the strong 1/f noise in the power spectrum of TEBMs, the genuine oscillatory behavior embedded in TEBMs of EM and DMN-like mode was uncovered around the low-frequency range below 0.2 Hz.
静息态人脑可以通过各种基础模式的组合来描述,包括 fMRI BOLD 信号在人脑识别的默认模式网络 (DMN)。DMN 是否是静息态的最主要表现形式一直存在争议。在这里,我们研究了静息态尚未被探索的基本性质。在没有进行全局信号回归分析的情况下,对脑宽空间活动模式进行分析时,静息状态下的 fMRI BOLD 时空信号完全分解为时间不变的空间表达基础模式 (SEBM)及其时间演化基础模式 (TEBM)。与我们上面的传统概念相反,从 166 个人类大脑的 SEBM 进行相似聚类分析表明,最主要的 SEBM 簇是一种不对称模式,其中组件符号的分布在一个方向上倾斜,我们称之为基本模式 (EM),而第二大 SEBM 簇类似于 DMN 的空间模式。在去除 TEBM 功率谱中强 1/f 噪声后,发现 EM 和 DMN 样模式的 TEBM 中嵌入了真正的低频范围低于 0.2 Hz 的振荡行为。