Literature DB >> 16003668

Head control: volitional aspects of rehabilitation training in patients with multiple sclerosis compared with healthy subjects.

Davide Cattaneo1, Maurizio Ferrarin, William Frasson, Anna Casiraghi.   

Abstract

OBJECTIVE: To investigate the role of voluntary mechanisms and motor learning in head stability and the impact of longitudinal biofeedback training in head control.
DESIGN: Crossover trial and single-subject research design.
SETTING: Neurorehabilitation research institute. PARTICIPANTS: Head stability during treadmill gait was measured in healthy subjects and patients with multiple sclerosis (MS). INTERVENTION: The experimental condition in which subjects walked on the treadmill was compared with that in which the head was voluntarily stabilized. In another experimental condition, augmented feedback of head displacement was provided by means of a laser mounted on the head that projected a laser beam on a screen. The motor learning was investigated with biofeedback training sessions. Positional feedback was represented by the laser beam, with subjects having to stabilize the beam while walking on the treadmill. MAIN OUTCOME MEASURE: Head angular oscillation in the sagittal and frontal planes.
RESULTS: Results showed that on verbal request, healthy subjects and patients further stabilized the head during gait, especially in the sagittal plane. Short-term feedback of head displacement was no better than self-stabilization at improving head control. Conversely, the motor learning was evident in the rehabilitation protocol: after 10 to 15 training sessions, patients with MS showed a clinically relevant decrease of head angular oscillations.
CONCLUSIONS: Voluntary mechanisms play a role in head stabilization during gait. Augmented biofeedback of head displacement may be effective in reducing head oscillations.

Entities:  

Mesh:

Year:  2005        PMID: 16003668     DOI: 10.1016/j.apmr.2004.12.029

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


  3 in total

1.  From neuromuscular activation to end-point locomotion: An artificial neural network-based technique for neural prostheses.

Authors:  Chia-Lin Chang; Zhanpeng Jin; Hou-Cheng Chang; Allen C Cheng
Journal:  J Biomech       Date:  2009-04-22       Impact factor: 2.712

2.  Preservation of motor skill learning in patients with multiple sclerosis.

Authors:  Valentina Tomassini; Heidi Johansen-Berg; Laura Leonardi; Luis Paixão; Saad Jbabdi; Jackie Palace; Carlo Pozzilli; Paul M Matthews
Journal:  Mult Scler       Date:  2010-09-10       Impact factor: 6.312

3.  Walking With Horizontal Head Turns Is Impaired in Persons With Early-Stage Multiple Sclerosis Showing Normal Locomotion.

Authors:  Ilaria Carpinella; Elisa Gervasoni; Denise Anastasi; Rachele Di Giovanni; Andrea Tacchino; Giampaolo Brichetto; Paolo Confalonieri; Claudio Solaro; Marco Rovaris; Maurizio Ferrarin; Davide Cattaneo
Journal:  Front Neurol       Date:  2022-01-28       Impact factor: 4.003

  3 in total

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