Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
Stroke. 2007;38:2032-2033
Published online before print May 31, 2007, doi: 10.1161/STROKEAHA.107.488908
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
38/7/2032    most recent
STROKEAHA.107.488908v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Loubinoux, I.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Loubinoux, I.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*MRI Scans
Related Collections
Right arrow Exercise/exercise testing/rehabilitation
Right arrow Behavioral Changes and Stroke
Right arrow Computerized tomography and Magnetic Resonance Imaging
Right arrow Rehabilitation, Stroke
Right arrowRelated Article

(Stroke. 2007;38:2032.)
© 2007 American Heart Association, Inc.


Editorials

Can fMRI Measures of Brain Motor Activation Add Significantly to Other Variables in the Prediction of Treatment Response?

Isabelle Loubinoux, PhD

From INSERM U225, Pavillon Riser, Purpan Hospital, Toulouse, France, and Université Paul-Sabatier, Toulouse, France.

Correspondence to Isabelle Loubinoux, INSERM U 825, Pavillon Riser, Hôpital Purpan, 31059 Toulouse, France. E-mail Isabelle.Loubinoux@toulouse.inserm.fr


Key Words: FMRI


An extract of the first 250 words of the full text is provided, because this article has no abstract.
 

See related article, pages 2108–2114.

This study is among the first to address the basic question of whether fMRI measures of brain motor activation can add significantly to other variables in the prediction of treatment response. The study attempts to use baseline variables in a cohort of 24 chronic stroke patients to predict response to a specific form of rehabilitation, 6 weeks of rehabilitation therapy that targeted arm motor function, especially distally. Patients were also randomized and either did or did not undergo motor cortex electrical stimulation, but the evaluation of this treatment was not the purpose of this study.

This work presents evidence of the use of fMRI as a useful tool to help predicting the responsiveness to an intervention aimed to improve arm motor function. It applies to patients able to mobilize the hand (active wrist extension of at least 5 degrees) and a measurable activation in the ipsilesional primary motor cortex (iM1). It is examining whether fMRI data can predict outcome, but crucially whether it can predict outcome over and above other scores. Only 2 variables out of 13 remain at the end of the analyses: degree of hand motor cortex activation and level of arm Fugl-Meyer score. Authors conclude that fMRI, in particular the degree of activation averaged in a region of interest encompassing the hand area, could help in the decision-making process for allocating patients to a therapeutic regime.

More precisely, the current results suggest that clinical evaluation of arm function predicts higher gain . . . [Full Text of this Article]


Related Article:

Predicting Functional Gains in a Stroke Trial
Steven C. Cramer, 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, and David M. Himes
Stroke 2007 38: 2108-2114. [Abstract] [Full Text] [PDF]