Authors
Erin Burke Quinlan, Lucy Dodakian, Jill See, Alison McKenzie, Vu Le, Mike Wojnowicz, Babak Shahbaba, Steven C Cramer
Publication date
2015/1
Journal
Annals of neurology
Volume
77
Issue
1
Pages
132-145
Description
Objective
This study was undertaken to better understand the high variability in response seen when treating human subjects with restorative therapies poststroke. Preclinical studies suggest that neural function, neural injury, and clinical status each influence treatment gains; therefore, the current study hypothesized that a multivariate approach incorporating these 3 measures would have the greatest predictive value.
Methods
Patients 3 to 6 months poststroke underwent a battery of assessments before receiving 3 weeks of standardized upper extremity robotic therapy. Candidate predictors included measures of brain injury (including to gray and white matter), neural function (cortical function and cortical connectivity), and clinical status (demographics/medical history, cognitive/mood, and impairment).
Results
Among all 29 patients, predictors of treatment gains identified measures of brain injury (smaller …
Total citations
201520162017201820192020202120222023202417212635222326231115
Scholar articles
E Burke Quinlan, L Dodakian, J See, A McKenzie, V Le… - Annals of neurology, 2015