Literature DB >> 17148468

Functional potential in chronic stroke patients depends on corticospinal tract integrity.

Cathy M Stinear1, P Alan Barber, Peter R Smale, James P Coxon, Melanie K Fleming, Winston D Byblow.   

Abstract

Determining whether a person with stroke has reached their full potential for recovery is difficult. While techniques such as transcranial magnetic stimulation (TMS) and MRI have some prognostic value, their role in rehabilitation is undefined. This study used TMS and MRI to determine which factors predict functional potential, defined as an individual's capacity for further functional improvement at least 6 months following stroke. We studied 21 chronic stroke patients with upper limb impairment. The functional integrity of the corticospinal tracts (CSTs) was assessed using TMS and functional MRI. The presence or absence of motor-evoked responses (MEPs) to TMS in the affected upper limb, and the lateralization of cortical activity during affected hand use were determined. The structural integrity of the CST was assessed using MRI, and diffusion tensor imaging was used to measure the asymmetry in fractional anisotropy (FA) of the internal capsules. A multiple linear regression analysis was performed, to predict both clinical score at inception and change in clinical score for 17 patients who completed a 30 day programme of motor practice with the affected upper limb. The main findings were that in patients with MEPs, meaningful gains were still possible 3 years after stroke, although the capacity for improvement declined with time. In patients without MEPs, functional potential declines with increasing CST disruption, with no meaningful gains possible if FA asymmetry exceeds a value of 0.25. This study is the first to demonstrate the complementary nature of TMS and MRI techniques in predicting functional potential in chronic stroke patients. An algorithm is proposed for the selection of individualized rehabilitation strategies, based on the prediction of functional potential. These strategies could include neuromodulation using a range of emerging techniques, to prime the motor system for a plastic response to rehabilitation.

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Mesh:

Year:  2007        PMID: 17148468     DOI: 10.1093/brain/awl333

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  327 in total

1.  Contralesional hemisphere control of the proximal paretic upper limb following stroke.

Authors:  Lynley V Bradnam; Cathy M Stinear; P Alan Barber; Winston D Byblow
Journal:  Cereb Cortex       Date:  2011-12-01       Impact factor: 5.357

2.  Tract-specific and region of interest analysis of corticospinal tract integrity in subcortical ischemic stroke: reliability and correlation with motor function of affected lower extremity.

Authors:  P-F Tang; Y-H Ko; Z-A Luo; F-C Yeh; S-H A Chen; W-Y I Tseng
Journal:  AJNR Am J Neuroradiol       Date:  2010-01-28       Impact factor: 3.825

3.  Exploring expectations for upper-extremity motor treatment in people after stroke: a secondary analysis.

Authors:  Eliza M Prager; Rebecca L Birkenmeier; Catherine E Lang
Journal:  Am J Occup Ther       Date:  2011 Jul-Aug

4.  A paradox: after stroke, the non-lesioned lower limb motor cortex may be maladaptive.

Authors:  Sangeetha Madhavan; Lynn M Rogers; James W Stinear
Journal:  Eur J Neurosci       Date:  2010-08-16       Impact factor: 3.386

5.  Training-induced modifications of corticospinal reactivity in severely affected stroke survivors.

Authors:  Ruth N Barker; Sandra G Brauer; Benjamin K Barry; Toby J Gill; Richard G Carson
Journal:  Exp Brain Res       Date:  2012-07-10       Impact factor: 1.972

6.  Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface.

Authors:  Natalie Mrachacz-Kersting; Ning Jiang; Andrew James Thomas Stevenson; Imran Khan Niazi; Vladimir Kostic; Aleksandra Pavlovic; Sasa Radovanovic; Milica Djuric-Jovicic; Federica Agosta; Kim Dremstrup; Dario Farina
Journal:  J Neurophysiol       Date:  2015-12-30       Impact factor: 2.714

7.  Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

Authors:  Anne K Rehme; Lukas J Volz; Delia-Lisa Feis; Simon B Eickhoff; Gereon R Fink; Christian Grefkes
Journal:  Hum Brain Mapp       Date:  2015-08-19       Impact factor: 5.038

8.  Comparing prognostic strength of acute corticospinal tract injury measured by a new diffusion tensor imaging based template approach versus common approaches.

Authors:  Kelsi K Hirai; Benjamin N Groisser; William A Copen; Aneesh B Singhal; Judith D Schaechter
Journal:  J Neurosci Methods       Date:  2015-09-16       Impact factor: 2.390

Review 9.  Cerebral network disorders after stroke: evidence from imaging-based connectivity analyses of active and resting brain states in humans.

Authors:  Anne K Rehme; Christian Grefkes
Journal:  J Physiol       Date:  2012-10-22       Impact factor: 5.182

Review 10.  Brain repair after stroke--a novel neurological model.

Authors:  Steven L Small; Giovanni Buccino; Ana Solodkin
Journal:  Nat Rev Neurol       Date:  2013-11-12       Impact factor: 42.937

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