Prediction of motor recovery using indirect connectivity in a lesion network after ischemic stroke
Background: Recovery prediction can assist in the planning for impairment-focused rehabilitation after a stroke. This study investigated a new prediction model based on a lesion network analysis. To predict the potential for recovery, we focused on the next link-step connectivity of the direct neigh...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-05-01
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| Series: | Therapeutic Advances in Neurological Disorders |
| Online Access: | https://doi.org/10.1177/1756286420925679 |