10 research outputs found
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A standardized approach to performing the action research arm test.
The study of stroke and its treatment in human subjects requires accurate measurement of behavioral status. Arm motor deficits are among the most common sequelae after stroke. The Action Research Arm Test (ARAT) is a reliable, valid measure of arm motor status after stroke. This test has established value for characterizing clinical state and for measuring spontaneous and therapy-induced recovery; however, sufficient details have not been previously published to allow for performance of this scale in a standardized manner over time and across sites. Such an approach to ARAT scoring would likely reduce variance between investigators and sites. This report therefore includes a manual that provides a highly detailed and standardized approach for assigning ARAT scores. Intrarater reliability and interrater reliability, as well as validity, with this approach were measured and are excellent. The ARAT, when performed in a standardized manner, is a useful tool for assessment of arm motor deficits after stroke
Robot-based hand motor therapy after stroke.
Robots can improve motor status after stroke with certain advantages, but there has been less emphasis to date on robotic developments for the hand. The goal of this study was to determine whether a hand-wrist robot would improve motor function, and to evaluate the specificity of therapy effects on brain reorganization. Subjects with chronic stroke producing moderate right arm/hand weakness received 3 weeks therapy that emphasized intense active movement repetition as well as attention, speed, force, precision and timing, and included virtual reality games. Subjects initiated hand movements. If necessary, the robot completed movements, a feature available at all visits for seven of the subjects and at the latter half of visits for six of the subjects. Significant behavioural gains were found at end of treatment, for example, in Action Research Arm Test (34 +/- 20 to 38 +/- 19, P< 0.0005) and arm motor Fugl-Meyer score (45 +/- 10 to 52 +/- 10, P < 0.0001). Results suggest greater gains for subjects receiving robotic assistance in all sessions as compared to those receiving robotic assistance in half of sessions. The grasp task practiced during robotic therapy, when performed during functional MRI, showed increased sensorimotor cortex activation across the period of therapy, while a non-practiced task, supination/pronation, did not. A robot-based therapy showed improvements in hand motor function after chronic stroke. Reorganization of motor maps during the current therapy was task-specific, a finding useful when considering generalization of rehabilitation therapy
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Predicting and Detecting Arm Motor Gains in a Trial of Robotic Therapy
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Robotic Therapy after Stroke and the Influence of Baseline Motor Status
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The Anatomy of Stroke Injury Predicts Extent of Gains from Therapy.
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Predicting and Detecting Arm Motor Gains in a Trial of Robotic Therapy
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The Anatomy of Stroke Injury Predicts Extent of Gains from Therapy.
Anatomy of stroke injury predicts gains from therapy.
Many therapies are emerging that aim to improve motor function in people with stroke. Identifying key biological substrates needed for treatment gains would help to predict treatment effects and to maximize treatment impact. The current study addressed the hypothesis that behavioral gains from therapy targeting distal upper extremity are predicted by the structural integrity of key motor system white matter tracts.Twenty-three subjects with chronic left-sided stroke underwent robotic therapy targeting the distal right upper extremity. MRI was obtained at baseline and used to outline the infarct. For each subject, the degree to which stroke injured each of 4 descending white matter tracts (from the primary motor cortex, supplementary motor area, dorsal premotor cortex, and ventral premotor cortex, respectively) was determined. Correlations between tract-specific injury and behavioral gains from therapy were then examined.Numerous examples were found whereby tract-specific injury predicted treatment gains. The strongest correlations pertained to stroke injury to tracts descending from the primary motor cortex and dorsal premotor cortex. Infarct volume and baseline behavior were weak predictors of treatment gains.Extent of injury to specific motor tracts predicts behavioral gains from treatment in subjects with chronic stroke. This supports a role for these tracts in mediating treatment effects and reinforces the importance of lesion location in stroke. Tract-specific injury was stronger than infarct volume or baseline clinical status at predicting gains, identifies subjects with sufficient biological substrate to improve from therapy, and so might be useful as an entry criterion in repair-based trials