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Full-Text Articles in Nervous System Diseases
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 …
Connectivity Measures Are Robust Biomarkers Of Cortical Function And Plasticity After Stroke, Jennifer Wu, Erin Burke Quinlan, Lucy Dodakian, Alison Mckenzie, Nikhita Kathuria, Robert J. Zhou, Renee Augsburger, Jill See, Vu H. Lee, Ramesh Srinivasan, Steven C. Cramer
Connectivity Measures Are Robust Biomarkers Of Cortical Function And Plasticity After Stroke, Jennifer Wu, Erin Burke Quinlan, Lucy Dodakian, Alison Mckenzie, Nikhita Kathuria, Robert J. Zhou, Renee Augsburger, Jill See, Vu H. Lee, Ramesh Srinivasan, Steven C. Cramer
Physical Therapy Faculty Articles and Research
Valid biomarkers of motor system function after stroke could improve clinical decision-making. Electroencephalography-based measures are safe, inexpensive, and accessible in complex medical settings and so are attractive candidates. This study examined specific electroencephalography cortical connectivity measures as biomarkers by assessing their relationship with motor deficits across 28 days of intensive therapy. Resting-state connectivity measures were acquired four times using dense array (256 leads) electroencephalography in 12 hemiparetic patients (7.3 ± 4.0 months post-stroke, age 26–75 years, six male/six female) across 28 days of intensive therapy targeting arm motor deficits. Structural magnetic resonance imaging measured corticospinal tract injury and infarct volume. …