@article{dff0c1ecba164d768e07dfad5789bcb5,
title = "Reliability of TMS motor evoked potentials in quadriceps of subjects with chronic hemiparesis after stroke",
abstract = "Transcranial magnetic stimulation (TMS) non-invasively measures excitability of central motor pathways in humans and is used to characterize neuroplasticity after stroke. Using TMS to index lower extremity neuroplasticity after gait rehabilitation requires test-retest reliability. This study assesses the reliability of TMS-derived variables measured at bilateral quadriceps of chronic hemiparetic stroke survivors. Results support using measures of both paretic and nonparetic motor threshold, motor evoked potential (MEP) latencies; and nonparetic MEP amplitudes. Implications for longitudinal research are discussed.",
keywords = "Adult, Aged, Aged, 80 and over, Electric Stimulation, Evoked Potentials, Motor, Female, Gait, Humans, Male, Middle Aged, Paresis, Quadriceps Muscle, Recovery of Function, Reproducibility of Results, Stroke, Transcranial Magnetic Stimulation, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S., Quadriceps, Lower extremity, Paretic, TMS, Reliability",
author = "Wheaton, {Lewis A} and Federico Villagra and Hanley, {Daniel F} and Macko, {Richard F} and Forrester, {Larry W}",
note = "Funding Information: Grant support: National Institutes of Health, NIA (P60AG 12583) University of Maryland Claude D. Pepper Older Americans Independence Center; the Department of Veterans Affairs and Veterans Affairs Medical Center Baltimore Geriatrics Research, Education and Clinical Center (GRECC), and Rehabilitation Research & Development Exercise and Robotics Center of Excellence (B3390K); NINDS 1RO1 NS 24282-08; the France-Merrick Foundation, the Johns Hopkins GCRC (NCRR #MO1-00052) and the Eleanor Naylor Dana Charitable Trust.",
year = "2009",
month = jan,
day = "15",
doi = "10.1016/j.jns.2008.09.012",
language = "English",
volume = "276",
pages = "115--117",
journal = "Journal of the Neurological Sciences",
issn = "0022-510X",
publisher = "Elsevier",
number = "1-2",
}