| Budget Amount *help |
¥134,810,000 (Direct Cost: ¥103,700,000、Indirect Cost: ¥31,110,000)
Fiscal Year 2023: ¥24,830,000 (Direct Cost: ¥19,100,000、Indirect Cost: ¥5,730,000)
Fiscal Year 2022: ¥24,830,000 (Direct Cost: ¥19,100,000、Indirect Cost: ¥5,730,000)
Fiscal Year 2021: ¥24,830,000 (Direct Cost: ¥19,100,000、Indirect Cost: ¥5,730,000)
Fiscal Year 2020: ¥24,830,000 (Direct Cost: ¥19,100,000、Indirect Cost: ¥5,730,000)
Fiscal Year 2019: ¥35,490,000 (Direct Cost: ¥27,300,000、Indirect Cost: ¥8,190,000)
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| Outline of Final Research Achievements |
To clarify compensatory strategies underlying abnormal posture in neurodegenerative disorders, we developed an integrated model combining neural control and musculoskeletal dynamics, validated through patient-specific clinical data. Using deep learning, we quantitatively linked DAT-SPECT brain images with postural regulation features, enabling visualization of the underlying neural mechanisms. Additionally, voluntary sway tasks with varying frequencies revealed frequency-dependent coordination strategies across trunk and lower limbs. Dual-task experiments with Parkinson’s patients demonstrated daily variations in muscle co-contraction and brain activity, highlighting real-time interactions between motor and cognitive functions. These findings provide a novel computational foundation for evaluating and designing personalized rehabilitation strategies.
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