Literature DB >> 23073234

Brain anatomical networks in world class gymnasts: a DTI tractography study.

Bin Wang1, Yuanyuan Fan, Min Lu, Shumei Li, Zheng Song, Xiaoling Peng, Ruibin Zhang, Qixiang Lin, Yong He, Jun Wang, Ruiwang Huang.   

Abstract

The excellent motor skills of world class gymnasts amaze everyone. People marvel at the way they precisely control their movements and wonder how the brain structure and function of these elite athletes differ from those of non-athletes. In this study, we acquired diffusion images from thirteen world class gymnasts and fourteen matched controls, constructed their anatomical networks, and calculated the topological properties of each network based on graph theory. From a connectivity-based analysis, we found that most of the edges with increased connection density in the champions were linked to brain regions that are located in the sensorimotor, attentional, and default-mode systems. From graph-based metrics, we detected significantly greater global and local efficiency but shorter characteristic path length in the anatomical networks of the champions compared with the controls. Moreover, in the champions we found a significantly higher nodal degree and greater regional efficiency in several brain regions that correspond to motor and attention functions. These included the left precentral gyrus, left postcentral gyrus, right anterior cingulate gyrus and temporal lobes. In addition, we revealed an increase in the mean fractional anisotropy of the corticospinal tract in the champions, possibly in response to long-term gymnastic training. Our study indicates that neuroanatomical adaptations and plastic changes occur in gymnasts' brain anatomical networks either in response to long-term intensive gymnastic training or as an innate predisposition or both. Our findings may help to explain gymnastic skills at the highest levels of performance and aid in understanding the neural mechanisms that distinguish expert gymnasts from novices.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23073234     DOI: 10.1016/j.neuroimage.2012.10.007

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  31 in total

1.  Altered brain anatomical networks and disturbed connection density in brain tumor patients revealed by diffusion tensor tractography.

Authors:  Zhou Yu; Ling Tao; Zhiyu Qian; Jiangfen Wu; Hongyi Liu; Yun Yu; Jiantai Song; Shaobo Wang; Jinyang Sun
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-02-25       Impact factor: 2.924

2.  Small-world indices via network efficiency for brain networks from diffusion MRI.

Authors:  Lan Lin; Zhenrong Fu; Cong Jin; Miao Tian; Shuicai Wu
Journal:  Exp Brain Res       Date:  2018-07-06       Impact factor: 1.972

3.  A Randomized Controlled Trial of an Integrated Brain, Body, and Social Intervention for Children With ADHD.

Authors:  Stephanie D Smith; Lawrence A Vitulano; Liliya Katsovich; Shuaixing Li; Christina Moore; Fenghua Li; Heidi Grantz; Xixi Zheng; Virginia Eicher; Selin Aktan Guloksuz; Yi Zheng; Jinxia Dong; Denis G Sukhodolsky; James F Leckman
Journal:  J Atten Disord       Date:  2016-05-13       Impact factor: 3.256

Review 4.  Evidence for exercise-related plasticity in functional and structural neural network connectivity.

Authors:  Junyeon Won; Daniel D Callow; Gabriel S Pena; Marissa A Gogniat; Yash Kommula; Naomi A Arnold-Nedimala; Leslie S Jordan; J Carson Smith
Journal:  Neurosci Biobehav Rev       Date:  2021-10-13       Impact factor: 8.989

5.  Abnormalities in myelination of the superior cerebellar peduncle in patients with schizophrenia and deficits in movement sequencing.

Authors:  Jitka Hüttlova; Zora Kikinis; Milos Kerkovsky; Sylvain Bouix; Mai-Anh Vu; Nikos Makris; Martha Shenton; Tomas Kasparek
Journal:  Cerebellum       Date:  2014-08       Impact factor: 3.847

6.  Probabilistic tractography using Lasso bootstrap.

Authors:  Chuyang Ye; Jerry L Prince
Journal:  Med Image Anal       Date:  2016-09-16       Impact factor: 8.545

7.  A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.

Authors:  Chuyang Ye; Jerry L Prince
Journal:  Comput Med Imaging Graph       Date:  2016-09-19       Impact factor: 4.790

8.  White matter plasticity in the cerebellum of elite basketball athletes.

Authors:  In Sung Park; Ye Na Lee; Soonwook Kwon; Nam Joon Lee; Im Joo Rhyu
Journal:  Anat Cell Biol       Date:  2015-12-21

9.  Structural Brain Connectivity and the Sit-to-Stand-to-Sit Performance in Individuals with Nonspecific Low Back Pain: A Diffusion Magnetic Resonance Imaging-Based Network Analysis.

Authors:  Madelon Pijnenburg; S M Hadi Hosseini; Simon Brumagne; Lotte Janssens; Nina Goossens; Karen Caeyenberghs
Journal:  Brain Connect       Date:  2016-09-22

10.  Structural brain correlates associated with professional handball playing.

Authors:  Jürgen Hänggi; Nicolas Langer; Kai Lutz; Karin Birrer; Susan Mérillat; Lutz Jäncke
Journal:  PLoS One       Date:  2015-04-27       Impact factor: 3.240

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