Literature DB >> 20947492

Mesencephalic corticospinal atrophy predicts baseline deficit but not response to unilateral or bilateral arm training in chronic stroke.

Christoph Globas1, Judith M Lam, Weihong Zhang, Anuar Imanbayev, Benjamin Hertler, Clemens Becker, Jill Whitall, Sandy McCombe-Waller, Susumu Mori, Daniel F Hanley, Andreas R Luft.   

Abstract

OBJECTIVE: Stroke survivors with motor deficits often have pyramidal tract atrophy caused by degeneration of corticospinal fibers. The authors hypothesized that the degree of atrophy correlates with severity of motor impairment in patients with chronic stroke and predicts the response to rehabilitation training.
METHODS: They performed a post hoc analysis of 42 hemiparetic patients (>6 months) who had been randomized to either 6 weeks of bilateral arm training with rhythmic auditory cueing (BATRAC) or dose-matched therapeutic exercise (DMTE). Arm function was measured using the Fugl-Meyer (FM) and modified Wolf Motor Function Test (WMFT). Structural MRI and diffusion tensor imaging (DTI) on the pontine level measured corticospinal tract (CST) atrophy by planimetric measurement of the mesencephalon (mesencephalic atrophy ratio) and fractional anisotropy (FA), respectively. Voxel-based lesion symptom mapping (VLSM) was used to determine the lesions associated with highest degrees of atrophy. The predictive value of CST atrophy for impairment and training response was analyzed.
RESULTS: CST atrophy predicted baseline motor arm function measured by the FM and WMFT. The authors found only a trend for the correlation with FA. No measure of atrophy predicted response to either BATRAC or DMTE. CST atrophy was higher with larger lesions and those that affected the CST. VLSM identified internal capsule lesions as being associated with highest CST atrophy.
CONCLUSION: Larger lesions, internal capsule lesions, and those overlapping the pyramidal tract are associated with greater CST atrophy. CST atrophy explains in part the variability of baseline deficits but does not seem to predict the response to BATRAC or unilateral arm training on upper-extremity function.

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Mesh:

Year:  2010        PMID: 20947492     DOI: 10.1177/1545968310382001

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  10 in total

1.  Involuntary paretic wrist/finger flexion forces and EMG increase with shoulder abduction load in individuals with chronic stroke.

Authors:  Laura C Miller; Julius P A Dewald
Journal:  Clin Neurophysiol       Date:  2012-02-22       Impact factor: 3.708

Review 2.  Biomarkers and predictors of restorative therapy effects after stroke.

Authors:  Erin Burke; Steven C Cramer
Journal:  Curr Neurol Neurosci Rep       Date:  2013-02       Impact factor: 5.081

3.  Neural substrates of lower extremity motor, balance, and gait function after supratentorial stroke using voxel-based lesion symptom mapping.

Authors:  Hyun Im Moon; Sung-Bom Pyun; Woo-Suk Tae; Hee Kyu Kwon
Journal:  Neuroradiology       Date:  2016-03-10       Impact factor: 2.804

4.  Assessing a standardised approach to measuring corticospinal integrity after stroke with DTI.

Authors:  Chang-Hyun Park; Nancy Kou; Marie-Hélène Boudrias; E Diane Playford; Nick S Ward
Journal:  Neuroimage Clin       Date:  2013-04-11       Impact factor: 4.881

5.  Correlation between ambulatory function and clinical factors in hemiplegic patients with intact single lateral corticospinal tract: A pilot study.

Authors:  Ji Seong Hong; Jong Moon Kim; Hyoung Seop Kim
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

6.  Upper Extremity Motor Impairments and Microstructural Changes in Bulbospinal Pathways in Chronic Hemiparetic Stroke.

Authors:  Meriel Owen; Carson Ingo; Julius P A Dewald
Journal:  Front Neurol       Date:  2017-06-13       Impact factor: 4.003

7.  Lesion locations associated with persistent proprioceptive impairment in the upper limbs after stroke.

Authors:  Sonja E Findlater; Rachel L Hawe; Jennifer A Semrau; Jeffrey M Kenzie; Amy Y Yu; Stephen H Scott; Sean P Dukelow
Journal:  Neuroimage Clin       Date:  2018-10-04       Impact factor: 4.881

8.  Recovery of post stroke proximal arm function, driven by complex neuroplastic bilateral brain activation patterns and predicted by baseline motor dysfunction severity.

Authors:  Svetlana Pundik; Jessica P McCabe; Ken Hrovat; Alice Erica Fredrickson; Curtis Tatsuoka; I Jung Feng; Janis J Daly
Journal:  Front Hum Neurosci       Date:  2015-07-22       Impact factor: 3.169

9.  Neuronal injury in the motor cortex after chronic stroke and lower limb motor impairment: a voxel-based lesion symptom mapping study.

Authors:  Alexandria M Reynolds; Denise M Peters; Jennifer M C Vendemia; Lenwood P Smith; Raymond C Sweet; Gordon C Baylis; Debra Krotish; Stacy L Fritz
Journal:  Neural Regen Res       Date:  2014-04-01       Impact factor: 5.135

10.  Functional Strength Training and Movement Performance Therapy for Upper Limb Recovery Early Poststroke-Efficacy, Neural Correlates, Predictive Markers, and Cost-Effectiveness: FAST-INdiCATE Trial.

Authors:  Susan M Hunter; Heidi Johansen-Berg; Nick Ward; Niamh C Kennedy; Elizabeth Chandler; Christopher John Weir; John Rothwell; Alan M Wing; Michael J Grey; Garry Barton; Nick Malachy Leavey; Claire Havis; Roger N Lemon; Jane Burridge; Amy Dymond; Valerie M Pomeroy
Journal:  Front Neurol       Date:  2018-01-25       Impact factor: 4.003

  10 in total

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