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Functional gradients in prefrontal regions and somatomotor networks reflect the effect of music training experience on cognitive aging

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机构： [1]The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. [2]School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. [3]Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada. [4]Department of Composition, Sichuan Conservatory of Music, Chengdu, Sichuan 610021, China. [5]School of Music Education, Sichuan Conservatory of Music, Chengdu, Sichuan 610021, China.

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Studies showed that the top-down control of the prefrontal cortex (PFC) on sensory/motor cortices changes during cognitive aging. Although music training has demonstrated efficacy on cognitive aging, its brain mechanism is still far from clear. Current music intervention studies have paid insufficient attention to the relationship between PFC and sensory regions. Functional gradient provides a new perspective that allows researchers to understand network spatial relationships, which helps study the mechanism of music training that affects cognitive aging. In this work, we estimated the functional gradients in four groups, young musicians, young control, older musicians, and older control. We found that cognitive aging leads to gradient compression. Compared with young subjects, older subjects presented lower and higher principal gradient scores in the right dorsal and medial prefrontal and the bilateral somatomotor regions, respectively. Meanwhile, by comparing older control and musicians, we found a mitigating effect of music training on gradient compression. Furthermore, we revealed that the connectivity transitions between prefrontal and somatomotor regions at short functional distances are a potential mechanism for music to intervene in cognitive aging. This work contributes to understanding the neuroplasticity of music training on cognitive aging.© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

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出版当年[2023]版：

大类 | 2 区医学

小类 | 3 区神经科学

最新[2023]版：

大类 | 2 区医学

小类 | 3 区神经科学

第一作者：

第一作者机构： [1]The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. [2]School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

通讯作者：

通讯机构： [1]The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. [2]School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. [*1]2006XiyuanAvenue,Chengdu611731,Sichuan,China

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