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自发性感觉运动β功率和皮质厚度可独特地预测健康老化中的运动功能。

Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging.

机构信息

Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA.

Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Psychology, University of Nebraska - Omaha (UNO), Omaha, NE, USA.

出版信息

Neuroimage. 2022 Nov;263:119651. doi: 10.1016/j.neuroimage.2022.119651. Epub 2022 Oct 4.

DOI:10.1016/j.neuroimage.2022.119651
PMID:36206940
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10071137/
Abstract

BACKGROUND

Spontaneous beta activity in the primary motor cortices has been shown to increase in amplitude with advancing age, and that such increases are tightly coupled to stronger motor-related beta oscillations during movement planning. However, the relationship between these age-related changes in spontaneous beta in the motor cortices, local cortical thickness, and overall motor function remains unclear.

METHODS

We collected resting-state magnetoencephalography (MEG), high-resolution structural MRI, and motor function scores using a neuropsychological battery from 126 healthy adults (56 female; age range = 22-72 years). MEG data were source-imaged and a whole-brain vertex-wise regression model was used to assess age-related differences in spontaneous beta power across the cortex. Cortical thickness was computed from the structural MRI data and local beta power and cortical thickness values were extracted from the sensorimotor cortices. To determine the unique contribution of age, spontaneous beta power, and cortical thickness to the prediction of motor function, a hierarchical regression approach was used.

RESULTS

There was an increase in spontaneous beta power with age across the cortex, with the strongest increase being centered on the sensorimotor cortices. Sensorimotor cortical thickness was not related to spontaneous beta power, above and beyond age. Interestingly, both cortical thickness and spontaneous beta power in sensorimotor regions each uniquely contributed to the prediction of motor function when controlling for age.

DISCUSSION

This multimodal study showed that cortical thickness and spontaneous beta activity in the sensorimotor cortices have dissociable contributions to motor function across the adult lifespan. These findings highlight the complexity of interactions between structure and function and the importance of understanding these interactions in order to advance our understanding of healthy aging and disease.

摘要

背景

初级运动皮质中的自发β活动的振幅随年龄的增长而增加,并且这种增加与运动规划期间更强的与运动相关的β振荡紧密相关。然而,运动皮质中自发β活动、局部皮质厚度和整体运动功能之间的这些与年龄相关的变化之间的关系仍不清楚。

方法

我们从 126 名健康成年人(56 名女性;年龄范围为 22-72 岁)中收集了静息状态脑磁图(MEG)、高分辨率结构 MRI 和使用神经心理学测试的运动功能评分。使用全脑顶点回归模型对 MEG 数据进行源成像,以评估整个皮质中自发β功率随年龄的变化。从结构 MRI 数据中计算皮质厚度,并从感觉运动皮质中提取局部β功率和皮质厚度值。为了确定年龄、自发β功率和皮质厚度对运动功能预测的独特贡献,我们采用了分层回归方法。

结果

整个皮质的自发β功率随年龄增加,最强的增加集中在感觉运动皮质。感觉运动皮质厚度与自发β功率无关,超出了年龄的影响。有趣的是,当控制年龄时,感觉运动区域的皮质厚度和自发β功率都对运动功能的预测有独特的贡献。

讨论

这项多模态研究表明,感觉运动皮质的皮质厚度和自发β活动对成年期的运动功能有不同的贡献。这些发现强调了结构和功能之间相互作用的复杂性,以及理解这些相互作用对于推进对健康衰老和疾病的理解的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/46a0d0e43055/nihms-1848624-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/5213d1d85821/nihms-1848624-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/a1c907b93cb7/nihms-1848624-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/e520d8c76c06/nihms-1848624-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/f21a70ac067c/nihms-1848624-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/42fcb29bfd67/nihms-1848624-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/46a0d0e43055/nihms-1848624-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/5213d1d85821/nihms-1848624-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/a1c907b93cb7/nihms-1848624-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/e520d8c76c06/nihms-1848624-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/f21a70ac067c/nihms-1848624-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/42fcb29bfd67/nihms-1848624-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/10071137/46a0d0e43055/nihms-1848624-f0006.jpg

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