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Full-Text Articles in Nervous System Diseases
Gains Across Who Dimensions Of Function After Robot-Based Therapy In Stroke Subjects, Jennifer Wu, Lucy Dodakian, Jill See, Erin Burke Quinlan, Lisa Meng, Jeby Abraham, Ellen C. Wong, Vu Le, Alison Mckenzie, Steven C. Cramer
Gains Across Who Dimensions Of Function After Robot-Based Therapy In Stroke Subjects, Jennifer Wu, Lucy Dodakian, Jill See, Erin Burke Quinlan, Lisa Meng, Jeby Abraham, Ellen C. Wong, Vu Le, Alison Mckenzie, Steven C. Cramer
Physical Therapy Faculty Articles and Research
Background
Studies examining the effects of therapeutic interventions after stroke often focus on changes in loss of body function/structure (impairment). However, improvements in activities limitations and participation restriction are often higher patient priorities, and the relationship that these measures have with loss of body function/structure is unclear.
Objective
This study measured gains across WHO International Classification of Function (ICF) dimensions and examined their interrelationships.
Methods
Subjects were recruited 11 to 26 weeks after hemiparetic stroke. Over a 3-week period, subjects received 12 sessions of intensive robot-based therapy targeting the distal arm. Each subject was assessed at baseline and at 1 …
Predicting Gains With Visuospatial Training After Stroke Using An Eeg Measure Of Frontoparietal Circuit Function, Robert J. Zhou, Hossein M. Hondori, Maryam Khademi, Jessica M. Cassidy, Katherine M. Wu, Derek Z. Yang, Nikhita Kathuria, Fareshte R. Erani, Lucy Dodakian, Alison Mckenzie, Cristina V. Lopes, Walt Scacchi, Ramesh Srinivasan, Steven C. Cramer
Predicting Gains With Visuospatial Training After Stroke Using An Eeg Measure Of Frontoparietal Circuit Function, Robert J. Zhou, Hossein M. Hondori, Maryam Khademi, Jessica M. Cassidy, Katherine M. Wu, Derek Z. Yang, Nikhita Kathuria, Fareshte R. Erani, Lucy Dodakian, Alison Mckenzie, Cristina V. Lopes, Walt Scacchi, Ramesh Srinivasan, Steven C. Cramer
Physical Therapy Faculty Articles and Research
The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related gains in visuomotor tracking. Here we asked whether activity in this same frontoparietal circuit also predicts training-related gains in visuomotor tracking in patients with chronic hemiparetic stroke. Subjects (n = 12) underwent dense-array EEG recording at rest, then received 8 sessions of visuomotor tracking training delivered via home-based telehealth methods. Subjects showed significant training-related gains in the primary behavioral endpoint, Success Rate score on a standardized test …