Evidence map›Paper›PMID 37190656›Full record

ArticleBrain sciences2023

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

Yingrong Xie, Kelong Cai, Jingang Dai, Gaoxia Wei

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome.IEEE journal of translational engineering in health and medicine · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Yingrong XieCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China.ORCID 0009-0003-1448-1650
Kelong CaiCollege of Physical Education, Yangzhou University, Yangzhou 225127, China.
Jingang DaiExperimental Research Center, China Academy of Chinese Medical Sciences, National Chinese Medicine Experts Inheritance Office of Song Jun, Beijing 100700, China.
Gaoxia WeiCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China.ORCID 0000-0002-6350-9096
Institute of Psychology, Chinese Academy of Sciences · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNYangzhou University · CN

Funding

National Natural Science Foundation of China 31671163Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences E2CX3815CX
6 · The paper itself

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.

Indexed as

diffusion tensor imagingfactional anisotropyTai Chi Chuanwhite matter

Identifiers

PMID37190656
PMCPMC10136990
OpenAlexW4366770769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.