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Abstract #3366

Connectome analysis of world class gymnasts using probabilistic multi-shell multi-tissue constrained spherical deconvolution tracking

Wataru Uchida1,2, Koji Kamagata1, Christina Andica1, Hiroyuki Tomita3, Hidefumi Waki3, Mana Kuramochi1,2, Yuki Takenaka1,2, Akifumi Hagiwara1,4, Makoto Fukuo3, Kouhei Tsuruta1, Issei Fukuaga1, Syo Murata1, Mutsumi Harada3, Shigeki Aoki1, and Hisashi Naito3

1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan, 3Department of Sports Science, Juntendo University Graduate School of Medicine, Tokyo, Japan, 4Department of Radiology, University of Tokyo Graduate School of Medicine, Tokyo, Japan

We analyzed the brain anatomical networks between world-class gymnasts and controls using probabilistic Multi-shell, Multi-tissue Constrained Spherical Deconvolution tracking method. Our results showed higher neural connectivities in gymnasts in the brain areas related to motor activity and visual perception. In addition, a positive correlation between difficulty-score (D-score) and brain connectivity was also in the brain areas including auditory, limbic, associative and visual area. In conclusion, our findings can be useful for a better understanding of neural changes related to gymnastic skills.

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