Literature DB >> 20814001

Validity of movement pattern kinematics as measures of arm motor impairment poststroke.

Sandeep K Subramanian1, Juri Yamanaka, Gevorg Chilingaryan, Mindy F Levin.   

Abstract

BACKGROUND AND
PURPOSE: Upper limb motor impairment poststroke is commonly evaluated using clinical outcome measures such as the Fugl-Meyer Assessment. However, most clinical measures provide little information about motor patterns and compensations (eg, trunk displacement) used for task performance. Such information is obtained using movement quality kinematic variables (joint ranges, trunk displacement). Evaluation of movement quality may also help distinguish between levels of motor impairment severity in individuals poststroke. Our objective was to estimate concurrent and discriminant validity of movement quality kinematic variables for pointing and reach-to-grasp tasks.
METHODS: A retrospective study of kinematic data (sagittal trunk displacement, shoulder flexion, shoulder horizontal adduction, elbow extension) and Fugl-Meyer Assessment scores from 86 subjects (subacute to chronic stroke) performing pointing and reaching tasks was done. Multiple and logistic regression analyses were used to estimate concurrent and discriminant validity respectively. Cutoff points for distinguishing between levels of upper limb motor impairment severity (mild, moderate to severe) were estimated using sensitivity/specificity decision plots. The criterion measure used was the Fugl-Meyer Assessment (upper limb section).
RESULTS: The majority of variance in Fugl-Meyer Assessment scores was explained by a combination of trunk displacement and shoulder flexion (51%) for the pointing task and by trunk displacement alone (52%) for the reach-to-grasp task. Trunk displacement was the only variable that distinguished between levels of motor impairment severity. Cutoff points were 4.8 cm for pointing and 10.2 cm for reach-to-grasp movements.
CONCLUSIONS: Movement quality kinematic variables are valid measures of arm motor impairment levels poststroke. Their use in regular clinical practice and research is justified.

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Year:  2010        PMID: 20814001     DOI: 10.1161/STROKEAHA.110.593368

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  40 in total

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2.  Personalized upper limb training combined with anodal-tDCS for sensorimotor recovery in spastic hemiparesis: study protocol for a randomized controlled trial.

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3.  A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.

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Review 4.  Motor compensation and its effects on neural reorganization after stroke.

Authors:  Theresa A Jones
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5.  Self-efficacy and Reach Performance in Individuals With Mild Motor Impairment Due to Stroke.

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6.  Portable Myoelectric Brace Use Increases Upper Extremity Recovery and Participation But Does Not Impact Kinematics in Chronic, Poststroke Hemiparesis.

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7.  Unraveling the interaction between pathological upper limb synergies and compensatory trunk movements during reach-to-grasp after stroke: a cross-sectional study.

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8.  Grip type and task goal modify reach-to-grasp performance in post-stroke hemiparesis.

Authors:  Sydney Y Schaefer; Stacey L DeJong; Kendra M Cherry; Catherine E Lang
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9.  Quantifying Pathological Synergies in the Upper Extremity of Stroke Subjects With the Use of Inertial Measurement Units: A Pilot Study.

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10.  Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement.

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