Literature DB >> 21164128

Anatomy of stroke injury predicts gains from therapy.

Jeff D Riley1, Vu Le, Lucy Der-Yeghiaian, Jill See, Jennifer M Newton, Nick S Ward, Steven C Cramer.   

Abstract

BACKGROUND AND
PURPOSE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Entities:  

Mesh:

Year:  2010        PMID: 21164128      PMCID: PMC3026869          DOI: 10.1161/STROKEAHA.110.599340

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


  24 in total

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Journal:  Stroke       Date:  2003-12-11       Impact factor: 7.914

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Journal:  Stroke       Date:  1989-09       Impact factor: 7.914

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  103 in total

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4.  Can fully automated detection of corticospinal tract damage be used in stroke patients?

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6.  Serial treatments of primed low-frequency rTMS in stroke: characteristics of responders vs. nonresponders.

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7.  Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After Stroke.

Authors:  Jessica M Cassidy; Anirudh Wodeyar; Jennifer Wu; Kiranjot Kaur; Ashley K Masuda; Ramesh Srinivasan; Steven C Cramer
Journal:  Stroke       Date:  2020-04-17       Impact factor: 7.914

8.  Functional Cortical Axon Tracts Generated from Human Stem Cell-Derived Neurons.

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9.  Structure and function of corticospinal projection originating from supplementary motor area.

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10.  The Effects of Stroke Type, Locus, and Extent on Long-Term Outcome of Gait Rehabilitation: The LEAPS Experience.

Authors:  Stephen E Nadeau; Bruce Dobkin; Samuel S Wu; Qinglin Pei; Pamela W Duncan
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