Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning
Stroke remains a leading cause of long-term disability, underscoring the urgent need for effective predictors of motor recovery. Understanding the electrophysiological changes underlying spontaneous recovery could offer critical insight into recovery mechanisms and aid in predicting individual rehab...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-06-01
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| Series: | APL Bioengineering |
| Online Access: | http://dx.doi.org/10.1063/5.0263191 |
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