| Project/Area Number |
17500416
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Sports science
|
|---|
| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
KUDO Kazutoshi The University of Tokyo, Department of Life Sciences, Assistant Professor (30302813)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
OHTSUKI Tatsuyuki The University of Tokyo, Department of Life Sciences, Professor (30093553)
MIYAZAKI Makoto Waseda University, Waseda Institute for Advanced Study, Assistant Professor (30392202)
|
|---|
| Project Period (FY) |
2005 – 2007
|
| Project Status |
Completed (Fiscal Year 2007)
|
| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥300,000)
Fiscal Year 2007: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2006: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2005: ¥1,700,000 (Direct Cost: ¥1,700,000)
|
|---|
| Keywords | behavioral science / nervous system / movement / synergy / motor skill / coordination / 神経科学 |
|---|
| Research Abstract |
Rhythmic movements such as locomotion is one of the most basic activity for animals including humans and also have an important role for sport skills. Russian neurophysiologist Nicholai A. Bernstein (1896-1966) defined the level of construction of movement to control these rhythmic movements "the level of synergy". Recently developed nonlinear dynamics have provided the way to analyze complex time series and possibility to quantify the synergy. Therefore, in this study we attempted to examine the motor synergy using nonlinear dynamical approach and to clarify brain activity underlying coordinated movements by using recently developed neuroimaging method or functional magnetic resonance imaging (fMRI).
The findings of this study are as follows. 1) Recurrence quantification analysis was found to be a useful method to quantify higher order properties of the synergistic movements. 2) Auditory information stabilizes spatiotemporal properties of the synergistic movements and the stabilization could be described by nonlinear dynamical model. 3) Nonlinear dynamical model also successfully simulated the process of skill acquisition of rhythmic movement. 4) Redundant degrees of freedom within environment and brain activity provide multistability for synergistic movements. 5) The notion "adaptive variability' can hold for flexible organization of movements, muscle activities, and brain activities.
These findings will be useful not only motor skill learning but also motor skill re-learning or rehabilitation.
|
