| Project/Area Number |
26282168
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Partial Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Developmental mechanisms and the body works
|
|---|
| Research Institution | Niigata University of Health and Welfare |
|---|
Principal Investigator |
MARUYAMA ATSUO 新潟医療福祉大学, 健康科学部, 教授 (80117548)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
山代 幸哉 新潟医療福祉大学, 健康科学部, 講師 (20570782)
塗木 淳夫 鹿児島大学, 工学部, 准教授 (50336319)
佐藤 大輔 新潟医療福祉大学, 健康科学部, 講師 (60544393)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
HAMADA Masashi 東京大学, 医学部・歯学部附属病院, 助教 (40708054)
|
|---|
| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Project Status |
Completed (Fiscal Year 2016)
|
| Budget Amount *help |
¥16,380,000 (Direct Cost: ¥12,600,000、Indirect Cost: ¥3,780,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2014: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
|
|---|
| Keywords | 筋疲労 / 運動野皮質内抑制低下 / 神経ネットワーク / 適応的運動学習 / 連続的運動学習 / 至適筋疲労 / 技術習熟神経強化 / SICI低下 / 筋力調整誤差 / タイピング成績 / 適応的学習 / 連続的学習 / 高次運動野‐一次運動野 / 筋疲労定量化 / 運動学習 / 補足運動野 / 後部頭頂葉皮質 / 一次運動野 / タイピング学習 / 背側運動野 |
|---|
| Outline of Final Research Achievements |
We aimed to determine the effect of muscle fatigue on excitability level of each neural network between PMd, SMA, PPC and M1 connections and to quantify muscle fatigue levels to consolidate motor skill proficiency. We examined how muscle fatigue influences the neural network between them by TMS methods. Our results showed that muscle fatigue decreased the excitabilities of PMd- and SMA-M1 inhibitory connections and SICI in the motor cortex at the same time but did not change the excitability of PPC-M1 connection. We identified “optimal” muscle fatigue by showing the decreased SICI after some tasks of %MVC and contraction duration. We also examined whether the muscle fatigue could improve errors of muscle strength control in adaptive learning and typing speed in sequential learning. The results showed that muscle fatigue improved performance of both motor learning types. It is likely that optimal muscle fatigue consolidates motor skill proficiency in motor learning.
|
