Predicting Motor Sequence Learning in Individuals With Chronic Stroke.

ABSTRACT:

Background

Conventionally, change in motor performance is quantified with discrete measures of behavior taken pre- and postpractice. As a high degree of movement variability exists in motor performance after stroke, pre- and posttesting of motor skill may lack sensitivity to predict potential for motor recovery.

Objective

Evaluate the use of predictive models of motor learning based on individual performance curves and clinical characteristics of motor function in individuals with stroke.

Methods

Ten healthy and fourteen individuals with chronic stroke performed a continuous joystick-based tracking task over 6 days, and at a 24-hour delayed retention test, to assess implicit motor sequence learning.

Results

Individuals with chronic stroke demonstrated significa

SUBMITTER: Wadden KP 

PROVIDER: S-EPMC5154894 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature