Literature DB >> 18226656

Reliability of mental chronometry for assessing motor imagery ability after stroke.

Francine Malouin1, Carol L Richards, Anne Durand, Julien Doyon.   

Abstract

OBJECTIVE: To examine the reproducibility of 2 chronometric tests: time-dependent motor imagery (TDMI) screening test and temporal congruence test.
DESIGN: Test-retest 10 to 14 days apart.
SETTING: Laboratory of a university-affiliated center for research in rehabilitation. PARTICIPANTS: Twenty persons post cerebrovascular accident (CVA) and 46 healthy persons (controls). INTERVENTION: The reproducibility of the TDMI screening test, wherein the number of stepping movements (performed in sitting) imagined over 15, 25, and 45 seconds is recorded, and of the temporal congruence test wherein the duration of physically executed (E) and imagined (I) stepping movements is recorded, was evaluated. MAIN OUTCOME MEASURES: The test-retest reliability of the number of imagined movements (TDMI screening test), movement duration and I/E time ratios (temporal congruence test), and intrasession reliability of the temporal congruence test were assessed by using intraclass correlation coefficients (ICCs).
RESULTS: For the TDMI screening test, the ICCs ranged from .88 to .93 (CVA, n=20) and from .87 to .92 (controls, n=9). For the temporal congruence test, when the total duration of 2 series of 5 stepping movements was averaged, ICCs ranged from .76 to .97 (CVA, n=20) and from .77 to .93 (controls, n=46), whereas for 1 series the ICCs ranged from .71 to .95 and from .63 to .95 in the CVA and control groups, respectively. The ICCs for intrasession reliability for the CVA (n=20) and control (n=46) groups, respectively, ranged from .90 to .98 and .95 to .97.
CONCLUSIONS: The present findings support the reproducibility of both tests in both groups. Mental chronometry can be used reliably for the screening of patients capable of motor imagery or for measuring temporal congruence between real and imagined movements poststroke.

Entities:  

Mesh:

Year:  2008        PMID: 18226656     DOI: 10.1016/j.apmr.2007.11.006

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  41 in total

1.  The influence of individual motor imagery ability on cerebral recruitment during gait imagery.

Authors:  Marian van der Meulen; Gilles Allali; Sebastian W Rieger; Frédéric Assal; Patrik Vuilleumier
Journal:  Hum Brain Mapp       Date:  2012-09-27       Impact factor: 5.038

2.  Brain activity during visual versus kinesthetic imagery: an fMRI study.

Authors:  Aymeric Guillot; Christian Collet; Vo An Nguyen; Francine Malouin; Carol Richards; Julien Doyon
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

3.  Towards a user-friendly brain-computer interface: initial tests in ALS and PLS patients.

Authors:  Ou Bai; Peter Lin; Dandan Huang; Ding-Yu Fei; Mary Kay Floeter
Journal:  Clin Neurophysiol       Date:  2010-03-29       Impact factor: 3.708

4.  Chronometry of mentally versus physically practiced tasks in people with stroke.

Authors:  Andy J Wu; Valerie Hermann; Jun Ying; Stephen J Page
Journal:  Am J Occup Ther       Date:  2010 Nov-Dec

5.  Patient-centered integrated motor imagery delivered in the home with telerehabilitation to improve walking after stroke.

Authors:  Judith E Deutsch; Inbal Maidan; Ruth Dickstein
Journal:  Phys Ther       Date:  2012-04-12

6.  Locomotor training intensity after stroke: Effects of interval type and mode.

Authors:  Pierce Boyne; Victoria Scholl; Sarah Doren; Daniel Carl; Sandra A Billinger; Darcy S Reisman; Myron Gerson; Brett Kissela; Jennifer Vannest; Kari Dunning
Journal:  Top Stroke Rehabil       Date:  2020-02-16       Impact factor: 2.119

7.  [German test of the controllability of motor imagery in older adults].

Authors:  N Schott
Journal:  Z Gerontol Geriatr       Date:  2013-10       Impact factor: 1.281

8.  Motor imagery of gait tasks in individuals with Parkinson disease.

Authors:  Kristen A Pickett; Daniel S Peterson; Gammon M Earhart
Journal:  J Parkinsons Dis       Date:  2012       Impact factor: 5.568

Review 9.  Impact of neurologic deficits on motor imagery: a systematic review of clinical evaluations.

Authors:  Franck Di Rienzo; Christian Collet; Nady Hoyek; Aymeric Guillot
Journal:  Neuropsychol Rev       Date:  2014-04-04       Impact factor: 7.444

10.  Functional magnetic resonance brain imaging of imagined walking to study locomotor function after stroke.

Authors:  Pierce Boyne; Sarah Doren; Victoria Scholl; Emily Staggs; Dustyn Whitesel; Thomas Maloney; Oluwole Awosika; Brett Kissela; Kari Dunning; Jennifer Vannest
Journal:  Clin Neurophysiol       Date:  2020-11-21       Impact factor: 3.708

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