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Parietal operculum and motor cortex activities predict motor recovery in moderate to severe stroke

Authors :
Firdaus Fabrice Hannanu
Thomas A. Zeffiro
Laurent Lamalle
Olivier Heck
Félix Renard
Antoine Thuriot
Alexandre Krainik
Marc Hommel
Olivier Detante
Assia Jaillard
K. Garambois
M. Barbieux-Guillot
I. Favre-Wiki
S. Grand
J.F. Le Bas
A. Moisan
M.J. Richard
F. De Fraipont
J. Gere
S. Marcel
W. Vadot
G. Rodier
D. Perennou
A. Chrispin
P. Davoine
B. Naegele
P. Antoine
I. Tropres
F. Renard
Source :
NeuroImage: Clinical, Vol 14, Iss C, Pp 518-529 (2017)
Publication Year :
2017
Publisher :
Elsevier, 2017.

Abstract

While motor recovery following mild stroke has been extensively studied with neuroimaging, mechanisms of recovery after moderate to severe strokes of the types that are often the focus for novel restorative therapies remain obscure. We used fMRI to: 1) characterize reorganization occurring after moderate to severe subacute stroke, 2) identify brain regions associated with motor recovery and 3) to test whether brain activity associated with passive movement measured in the subacute period could predict motor outcome six months later. Because many patients with large strokes involving sensorimotor regions cannot engage in voluntary movement, we used passive flexion-extension of the paretic wrist to compare 21 patients with subacute ischemic stroke to 24 healthy controls one month after stroke. Clinical motor outcome was assessed with Fugl-Meyer motor scores (motor-FMS) six months later. Multiple regression, with predictors including baseline (one-month) motor-FMS and sensorimotor network regional activity (ROI) measures, was used to determine optimal variable selection for motor outcome prediction. Sensorimotor network ROIs were derived from a meta-analysis of arm voluntary movement tasks. Bootstrapping with 1000 replications was used for internal model validation. During passive movement, both control and patient groups exhibited activity increases in multiple bilateral sensorimotor network regions, including the primary motor (MI), premotor and supplementary motor areas (SMA), cerebellar cortex, putamen, thalamus, insula, Brodmann area (BA) 44 and parietal operculum (OP1-OP4). Compared to controls, patients showed: 1) lower task-related activity in ipsilesional MI, SMA and contralesional cerebellum (lobules V-VI) and 2) higher activity in contralesional MI, superior temporal gyrus and OP1-OP4. Using multiple regression, we found that the combination of baseline motor-FMS, activity in ipsilesional MI (BA4a), putamen and ipsilesional OP1 predicted motor outcome measured 6 months later (adjusted-R2 = 0.85; bootstrap p

Details

Language :
English
ISSN :
22131582
Volume :
14
Issue :
C
Database :
Directory of Open Access Journals
Journal :
NeuroImage: Clinical
Publication Type :
Academic Journal
Accession number :
edsdoj.bada125cc4534465a38024147827c356
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nicl.2017.01.023