Literature DB >> 24076980

Assessment of motor imagery in cerebral palsy via mental chronometry: the case of walking.

Steffie Spruijt1, Francois Jouen, Michèle Molina, Cyril Kudlinski, Jessica Guilbert, Bert Steenbergen.   

Abstract

Recent studies show varying results on whether motor imagery capacity is compromised in individuals with cerebral palsy (CP). Motor imagery studies in children predominantly used the implicit hand laterality task. In this task participants judge the laterality of displayed hand stimuli. A more explicit way of studying motor imagery is mental chronometry. This paradigm is based on the comparison between the movement durations of actually performing a task and imagining the same task. The current study explored motor imagery capacity in CP by means of mental chronometry of a whole body task. Movement durations of 20 individuals with CP (mean age=13 years, SD=3.6) were recorded in two conditions: actual walking and imagined walking. Six unique trajectories were used that varied in difficulty via manipulation of walking distance and path width. We found no main effect of condition (actual walking versus imagining) on movement durations. Difficulty of the walking trajectory did affect movement durations. In general, this was expressed by an increase in movement durations with increasing difficulty of the task. No interaction between task difficulty and movement condition was found. Our results show that task difficulty has similar effects on movement durations for both actual walking and imagined walking. These results exemplify that the tested individuals were able to use motor imagery in an explicit task involving walking. Previous studies using the implicit hand laterality task showed varying results on motor imagery capacity in CP. We therefore conclude that motor imagery capacity is task dependent and that an explicit paradigm as the one used in this study may reveal the true motor imagery capacity. The implications of these findings for the use of motor imagery training are discussed.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebral palsy; Mental chronometry; Motor imagery; Walking

Mesh:

Year:  2013        PMID: 24076980     DOI: 10.1016/j.ridd.2013.08.044

Source DB:  PubMed          Journal:  Res Dev Disabil        ISSN: 0891-4222


  7 in total

1.  Motor imagery training promotes motor learning in adolescents with cerebral palsy: comparison between left and right hemiparesis.

Authors:  Audrey Sartori Cabral-Sequeira; Daniel Boari Coelho; Luis Augusto Teixeira
Journal:  Exp Brain Res       Date:  2016-01-28       Impact factor: 1.972

2.  The brain's sense of walking: a study on the intertwine between locomotor imagery and internal locomotor models in healthy adults, typically developing children and children with cerebral palsy.

Authors:  Marco Iosa; Loredana Zoccolillo; Michela Montesi; Daniela Morelli; Stefano Paolucci; Augusto Fusco
Journal:  Front Hum Neurosci       Date:  2014-10-27       Impact factor: 3.169

3.  Examining Developmental Changes in Children's Motor Imagery: A Longitudinal Study.

Authors:  Steffie Spruijt; Marijtje L A Jongsma; John van der Kamp; Bert Steenbergen
Journal:  Adv Cogn Psychol       Date:  2017-09-30

4.  Explicit Motor Imagery for Grasping Actions in Children With Spastic Unilateral Cerebral Palsy.

Authors:  Antonino Errante; Francesca Bozzetti; Silvia Sghedoni; Barbara Bressi; Stefania Costi; Girolamo Crisi; Adriano Ferrari; Leonardo Fogassi
Journal:  Front Neurol       Date:  2019-08-07       Impact factor: 4.003

5.  Nonlinear Analysis of Eye-Tracking Information for Motor Imagery Assessments.

Authors:  Antonio Lanata; Laura Sebastiani; Francesco Di Gruttola; Stefano Di Modica; Enzo Pasquale Scilingo; Alberto Greco
Journal:  Front Neurosci       Date:  2020-01-15       Impact factor: 4.677

6.  Children with Cerebral Palsy can imagine actions like their normally developed peers.

Authors:  Jessica Galli; Gioacchino Garofalo; Sara Brunetti; Erika Loi; Michela Portesi; Giovanni Pelizzari; Andrea Rossi; Elisa Fazzi; Giovanni Buccino
Journal:  Front Neurol       Date:  2022-09-06       Impact factor: 4.086

Review 7.  Motor imagery and action observation for predictive control in developmental coordination disorder.

Authors:  Bert Steenbergen; Hilde Krajenbrink; Jessica Lust; Peter Wilson
Journal:  Dev Med Child Neurol       Date:  2020-07-31       Impact factor: 5.449

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.