Literature DB >> 17540966

Predicting functional gains in a stroke trial.

Steven C Cramer1, Todd B Parrish, Robert M Levy, Glenn T Stebbins, Sean D Ruland, David W Lowry, Theodore P Trouard, Scott W Squire, Martin E Weinand, Cary R Savage, Steven B Wilkinson, Jenifer Juranek, Szu-Yun Leu, David M Himes.   

Abstract

BACKGROUND AND
PURPOSE: A number of therapies in development for patients with central nervous system injury aim to reduce disability by improving function of surviving brain elements rather than by salvaging tissue. The current study tested the hypothesis that, after adjusting for a number of clinical assessments, a measure of brain function at baseline would improve prediction of behavioral gains after treatment.
METHODS: Twenty-four patients with chronic stroke underwent baseline clinical and functional MRI assessments, received 6 weeks of rehabilitation therapy with or without investigational motor cortex stimulation, and then had repeat assessments. Thirteen baseline clinical/radiological measures were evaluated for ability to predict subsequent trial-related gains.
RESULTS: Across all patients, bivariate analyses found that greater trial-related functional gains were predicted by (1) smaller infarct volume, (2) greater baseline clinical status, and (3) lower degree of activation in stroke-affected motor cortex on baseline functional MRI. When these 3 variables were further assessed using multivariate linear regression modeling, only lower motor cortex activation and greater clinical status at baseline remained significant predictors. Note that lower baseline motor cortex activation was also associated with larger increases in motor cortex activation after treatment.
CONCLUSIONS: Lower motor cortex activity at baseline predicted greater behavioral gains after therapy, even after controlling for a number of clinical assessments. The boosts in cortical activity that paralleled behavioral gains suggest that in some patients, low baseline cortical activity represents underuse of surviving cortical resources. A measure of brain function might be important for optimal clinical decision-making in the context of a restorative intervention.

Entities:  

Mesh:

Year:  2007        PMID: 17540966     DOI: 10.1161/STROKEAHA.107.485631

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


  42 in total

1.  Predictors of response to treadmill exercise in stroke survivors.

Authors:  Judith M Lam; Christoph Globas; Joachim Cerny; Benjamin Hertler; Kamil Uludag; Larry W Forrester; Richard F Macko; Daniel F Hanley; Clemens Becker; Andreas R Luft
Journal:  Neurorehabil Neural Repair       Date:  2010-05-07       Impact factor: 3.919

2.  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

Review 3.  Cell-based therapy in ischemic stroke.

Authors:  David C Hess; Cesar V Borlongan
Journal:  Expert Rev Neurother       Date:  2008-08       Impact factor: 4.618

Review 4.  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

5.  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

Review 6.  Predicting treatment outcome in stimulant dependence.

Authors:  Martina Reske; Martin P Paulus
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

Review 7.  Acute stroke magnetic resonance imaging: current status and future perspective.

Authors:  Stephan P Kloska; Max Wintermark; Tobias Engelhorn; Jochen B Fiebach
Journal:  Neuroradiology       Date:  2009-12-05       Impact factor: 2.804

Review 8.  Biomarkers of recovery after stroke.

Authors:  Marie-Hélène Milot; Steven C Cramer
Journal:  Curr Opin Neurol       Date:  2008-12       Impact factor: 5.710

9.  Functional MRI correlates of lower limb function in stroke victims with gait impairment.

Authors:  Christian Enzinger; Heidi Johansen-Berg; Helen Dawes; Marko Bogdanovic; Jonathan Collett; Claire Guy; Stefan Ropele; Udo Kischka; Derick Wade; Franz Fazekas; Paul M Matthews
Journal:  Stroke       Date:  2008-03-13       Impact factor: 7.914

Review 10.  Seven topics in functional magnetic resonance imaging.

Authors:  Peter A Bandettini
Journal:  J Integr Neurosci       Date:  2009-09       Impact factor: 2.117

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.