| Autor: |
Jigna Patel, Irina Pattison, Michael Glassen, Soha Saleh, Qinyin Qiu, Gerard G. Fluet, Emma Kaplan, Eugene Tunik, Karen Nolan, Alma S. Merians, Sergei V. Adamovich |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). |
| DOI: |
10.1109/embc48229.2022.9870886 |
| Popis: |
Stroke is a heterogeneous condition that would benefit from valid biomarkers of recovery for research and in the clinic. We evaluated the change in resting state connectivity (RSC) via electroencephalography (EEG) in motor areas, as well as motor recovery of the affected upper limb, in the subacute phase post-stroke. Fifteen participants who had sustained a subcortical stroke were included in this study. The group made significant gains in upper limb impairment as measured by the Upper Extremity Fugl-Meyer Assessment (UEFMA) from baseline to four months post-stroke (24.78 (SD 5.4)). During this time, there was a significant increase in RSC in the beta band from contralesional M1 to ipsilesional M1. We propose that this change in RSC may have contributed to the motor recovery seen in this group. Clinical Relevance- This study evaluates resting state connectivity measured via EEG as a neural biomarker of recovery post-stroke. Biomarkers can help clinicians understand the potential for recovery after stroke and thus help them to establish therapy goals and determine treatment plans. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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