Enhanced Integrity of White Matter Microstructure in Mind–Body Practitioners: A Whole-Brain Diffusion Tensor Imaging Study

Author:

Xie Yingrong12ORCID,Cai Kelong3,Dai Jingang4,Wei Gaoxia12ORCID

Affiliation:

1. CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China

2. Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China

3. College of Physical Education, Yangzhou University, Yangzhou 225127, China

4. Experimental Research Center, China Academy of Chinese Medical Sciences, National Chinese Medicine Experts Inheritance Office of Song Jun, Beijing 100700, China

Abstract

Tai Chi Chuan (TCC) is an increasingly popular multimodal mind–body practice with potential cognitive benefits, yet the neurobiological mechanisms underlying these effects, particularly in relation to brain white matter (WM) microstructure, remain largely unknown. In this study, we used diffusion tensor imaging (DTI) and the attention network test (ANT) to compare 22 TCC practitioners and 18 healthy controls. We found extensive differences in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) between the two groups. Specifically, TCC practitioners had significantly different diffusion metrics in the corticospinal tract (CST), fornix (FX)/stria terminalis (ST), and cerebral peduncle (CP). We also observed a significant correlation between increased FA values in the right CP and ANT performance in TCC practitioners. Our findings suggest that optimized regional WM microstructure may contribute to the complex information processing associated with TCC practice, providing insights for preventing cognitive decline and treating neurological disorders with cognitive impairment in clinical rehabilitation.

Funder

National Natural Science Foundation of China

Scientific Foundation of the Institute of Psychology, Chinese Academy of Sciences

Publisher

MDPI AG

Subject

General Neuroscience

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome;IEEE Journal of Translational Engineering in Health and Medicine;2024

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