Presentation 2019-03-09
Resting-state brain activity associated with motor learning ability
Daisuke Sakatani, Hirofumi Sekiguchi, Makoto Miyazaki, Masaya Hirashima, Hiroshi Kadota,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) There are individual differences in motor learning ability; learning rate and/or level of achievement differ from person to person. In this study, we investigated the resting-state brain activity associated with motor learning ability in a force field. We measured subjects’ resting-state brain activity using fMRI and then made the subjects perform reaching movements in a force field. Correlation analysis showed that the posterior parietal region and the cerebellum were significantly correlated with motor learning. These results suggest that greater activation of the posterior parietal region and/or cerebellum in the resting state improves motor learning in a force field.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) resting-state-fMRI / motor learning
Paper # HIP2018-82
Date of Issue 2019-03-02 (HIP)

Conference Information
Committee HIP
Conference Date 2019/3/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Miyuki Kamachi(Kogakuin Univ.)
Vice Chair Shuichi Sakamoto(Tohoku Univ.) / Yuji Wada(Ritsumeikan Univ.)
Secretary Shuichi Sakamoto(Univ. of Tsukuba) / Yuji Wada(NICT)
Assistant Atsushi Wada(NICT) / Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.)

Paper Information
Registration To Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Resting-state brain activity associated with motor learning ability
Sub Title (in English)
Keyword(1) resting-state-fMRI
Keyword(2) motor learning
1st Author's Name Daisuke Sakatani
1st Author's Affiliation Kochi University of Technology(KUT)
2nd Author's Name Hirofumi Sekiguchi
2nd Author's Affiliation Jobu University(Jobu Univ.)
3rd Author's Name Makoto Miyazaki
3rd Author's Affiliation Shizuoka University(Shizuoka Univ.)
4th Author's Name Masaya Hirashima
4th Author's Affiliation National Institute of Information and Communications Technology(NICT)
5th Author's Name Hiroshi Kadota
5th Author's Affiliation Kochi University of Technology(KUT)
Date 2019-03-09
Paper # HIP2018-82
Volume (vol) vol.118
Number (no) HIP-493
Page pp.pp.5-8(HIP),
#Pages 4
Date of Issue 2019-03-02 (HIP)