Brittany Young
Affiliations: | Neuroscience | University of Wisconsin, Madison, Madison, WI |
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Publications
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| Cramer SC, Young BM, Schwarz A, et al. (2023) Telerehabilitation Following Stroke. Physical Medicine and Rehabilitation Clinics of North America. 35: 305-318 |
| Krekeler BN, Yee J, Kurosu A, et al. (2023) Effects of Device-Facilitated Lingual Strengthening Therapy on Dysphagia Related Outcomes in Patients Post-Stroke: A Randomized Controlled Trial. Dysphagia |
| Young BM, Holman EA, Cramer SC. (2023) Rehabilitation Therapy Doses Are Low After Stroke and Predicted by Clinical Factors. Stroke |
| Young BM, Yadav R, Rana S, et al. (2022) Wrist Proprioception in Adults with and without Subacute Stroke. Brain Sciences. 13 |
| Remsik AB, Gjini K, Williams L, et al. (2021) Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors. Frontiers in Human Neuroscience. 15: 725645 |
| Remsik AB, Williams L, Gjini K, et al. (2019) Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation. Frontiers in Neuroscience. 13: 53 |
| Bjorklund E, Remsik A, Dodd K, et al. (2019) Abstract WP201: Electroencephalogram Based Brain Computer Interface Therapy for the Restoration of Distal Upper Extremity Motor Function in Chronic Severely Impaired Individuals Stroke. 50 |
| Mazrooyisebdani M, Nair VA, Loh PL, et al. (2018) Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis. Frontiers in Neuroscience. 12: 861 |
| Remsik AB, Dodd K, Williams L, et al. (2018) Behavioral Outcomes Following Brain-Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial. Frontiers in Neuroscience. 12: 752 |
| Mohanty R, Sinha AM, Remsik AB, et al. (2018) Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning. Frontiers in Neuroscience. 12: 624 |