Article

Being able to predict an individual's potential for recovery of motor function
after stroke may facilitate the use of more effective targeted rehabilitation
strategies, and management of patient expectations and goals. This review
summarises developments since 2010 of approaches based on clinical,
neurophysiological and neuroimaging measures for predicting individual patients'
potential for upper limb recovery. Clinical assessments alone have low prognostic
accuracy. Transcranial magnetic stimulation can be used to assess the functional
integrity of the corticomotor pathway, and has some predictive value but is not
superior when used in isolation due to its low negative predictive value.
Neuroimaging measures can be used to assess the structural integrity of
descending white matter tracts. Recent studies indicate that the integrity of
corticospinal and alternate motor tracts in both hemispheres may be useful
predictors of motor recovery after stroke. The PREP algorithm is currently the
only sequential algorithm that combines clinical, neurophysiological and
neuroimaging measures at the sub-acute stage to predict the potential for
subsequent recovery of upper limb function. Future research could determine if a
similar algorithmic approach may be useful for predicting the recovery of gait
after stroke.
CI - Copyright (c) 2014 Elsevier Masson SAS. All rights reserved.

Langue : ANGLAIS ; FRANCAIS