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成人寿命过程中全球大脑信号拓扑结构的时空去分化。

Spatiotemporal dedifferentiation of the global brain signal topography along the adult lifespan.

机构信息

Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.

Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

出版信息

Hum Brain Mapp. 2023 Dec 1;44(17):5906-5918. doi: 10.1002/hbm.26484. Epub 2023 Oct 6.

Abstract

Age-related variations in many regions and/or networks of the human brain have been uncovered using resting-state functional magnetic resonance imaging. However, these findings did not account for the dynamical effect the brain's global activity (global signal [GS]) causes on local characteristics, which is measured by GS topography. To address this gap, we tested GS topography including its correlation with age using a large-scale cross-sectional adult lifespan dataset (n = 492). Both GS topography and its variation with age showed frequency-specific patterns, reflecting the spatiotemporal characteristics of the dynamic change of GS topography with age. A general trend toward dedifferentiation of GS topography with age was observed in both spatial (i.e., less differences of GS between different regions) and temporal (i.e., less differences of GS between different frequencies) dimensions. Further, methodological control analyses suggested that although most age-related dedifferentiation effects remained across different preprocessing strategies, some were triggered by neuro-vascular coupling and physiological noises. Together, these results provide the first evidence for age-related effects on global brain activity and its topographic-dynamic representation in terms of spatiotemporal dedifferentiation.

摘要

使用静息态功能磁共振成像已经揭示了人类大脑中许多区域和/或网络随年龄的变化。然而,这些发现并没有考虑到大脑全局活动(全局信号 [GS])对局部特征产生的动态影响,而这一影响是通过 GS 地形测量来衡量的。为了解决这一差距,我们使用大规模的横断面成人寿命数据集(n=492)测试了包括 GS 地形与其与年龄相关性的 GS 地形。GS 地形及其随年龄变化的相关性均显示出频率特异性模式,反映了 GS 地形随年龄动态变化的时空特征。在空间(即不同区域之间的 GS 差异较小)和时间(即不同频率之间的 GS 差异较小)维度上,均观察到 GS 地形随年龄逐渐去分化的一般趋势。此外,方法学控制分析表明,尽管大多数与年龄相关的去分化效应在不同的预处理策略下仍然存在,但有些是由神经血管耦合和生理噪声引发的。总之,这些结果为全局脑活动及其时空去分化的地形动态表示提供了年龄相关影响的首个证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2853/10619384/c1429486b167/HBM-44-5906-g004.jpg

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