Literature DB >> 29250703

Plasticity in deep and superficial white matter: a DTI study in world class gymnasts.

Feng Deng1, Ling Zhao1, Chunlei Liu2,3, Min Lu4, Shufei Zhang1, Huiyuan Huang1, Lixiang Chen1, Xiaoyan Wu1, Chen Niu1, Yuan He1, Jun Wang5, Ruiwang Huang6.   

Abstract

Brain white matter (WM) could be generally categorized into two types, deep and superficial WM. Studies combining these two types WM are important for a better understanding of brain plasticity induced by motor training. In this study, we applied both univariate and multivariate approaches to study gymnastic training-induced plasticity in brain WM. Specifically, we acquired diffusion tensor imaging data from 13 world class gymnasts and 14 non-athlete normal controls, reconstructed brain deep and superficial WM tracts, estimated and compared their fractional anisotropy (FA) difference between the two groups. Taking FA values as the features, we applied logistic regression and support vector machine to distinguish the gymnasts from the controls. Compared to the controls, the gymnasts showed lower FA in four regional deep WM tracts, including the occipital lobe portion of left inferior fronto-occipital fasciculus (IFOF.L), occipital and temporal lobe portion of right inferior longitudinal fasciculus (ILF.R), insular cortex portion of right uncinate fasciculus (UF.R), and parietal lobe portion of right arcuate fasciculus (AF.R). Meanwhile, we found lower FA in the superficial U-shaped tracts within the frontal lobe in the gymnasts compared to the controls. In addition, we detected that mean FA in either the AF.R or the U-shaped tracts connecting the left pars triangularis and superior frontal gyrus was negatively correlated with years of training in the gymnasts. Classification analyses indicated FA in deep WM hold higher potential to distinguish the gymnasts from the controls. Overall, our findings provide a more complete picture of training-induced plasticity in brain WM.

Entities:  

Keywords:  Logistic regression; Neuroplasticity; Support vector machine (SVM); Tractography

Mesh:

Year:  2017        PMID: 29250703     DOI: 10.1007/s00429-017-1594-9

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  8 in total

1.  Collegiate athlete brain data for white matter mapping and network neuroscience.

Authors:  Bradley Caron; Ricardo Stuck; Brent McPherson; Daniel Bullock; Lindsey Kitchell; Joshua Faskowitz; Derek Kellar; Hu Cheng; Sharlene Newman; Nicholas Port; Franco Pestilli
Journal:  Sci Data       Date:  2021-02-11       Impact factor: 6.444

2.  Motor cortex gliomas induces microstructural changes of large fiber tracts revealed by TBSS.

Authors:  Xiangdong Wang; Chunyao Zhou; Lei Wang; Yinyan Wang; Tao Jiang
Journal:  Sci Rep       Date:  2020-10-09       Impact factor: 4.379

3.  Imaging functional neuroplasticity in human white matter tracts.

Authors:  Tory O Frizzell; Elisha Phull; Mishaa Khan; Xiaowei Song; Lukas A Grajauskas; Jodie Gawryluk; Ryan C N D'Arcy
Journal:  Brain Struct Funct       Date:  2021-11-23       Impact factor: 3.270

4.  Microstructural changes of white matter fiber tracts induced by insular glioma revealed by tract-based spatial statistics and automatic fiber quantification.

Authors:  Xiangdong Wang; Chunyao Zhou; Yinyan Wang; Lei Wang
Journal:  Sci Rep       Date:  2022-02-17       Impact factor: 4.379

5.  Brain lesion scores obtained using a simple semi-quantitative scale from MR imaging are associated with motor function, communication and cognition in dyskinetic cerebral palsy.

Authors:  Olga Laporta-Hoyos; Simona Fiori; Kerstin Pannek; Júlia Ballester-Plané; David Leiva; Lee B Reid; Alex M Pagnozzi; Élida Vázquez; Ignacio Delgado; Alfons Macaya; Roser Pueyo; Roslyn N Boyd
Journal:  Neuroimage Clin       Date:  2018-06-14       Impact factor: 4.881

6.  Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults.

Authors:  Georgia Angelopoulou; Erin L Meier; Dimitrios Kasselimis; Yue Pan; Dimitrios Tsolakopoulos; George Velonakis; Efstratios Karavasilis; Nikolaos L Kelekis; Dionysios Goutsos; Constantin Potagas; Swathi Kiran
Journal:  Front Neurosci       Date:  2020-01-29       Impact factor: 4.677

7.  Functional, anatomical and diffusion tensor MRI study of radiology expertise.

Authors:  David J Ouellette; Eric Van Staalduinen; Syed H Hussaini; Sindhuja T Govindarajan; Patricia Stefancin; Dan-Ling Hsu; Timothy Q Duong
Journal:  PLoS One       Date:  2020-04-27       Impact factor: 3.240

8.  Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging.

Authors:  Ullamari Hakulinen; Antti Brander; Tero Ilvesmäki; Mika Helminen; Juha Öhman; Teemu M Luoto; Hannu Eskola
Journal:  BMC Med Imaging       Date:  2021-10-04       Impact factor: 1.930

  8 in total

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