Literature DB >> 9353982

Early recognition of postural disorders in multiple sclerosis through movement analysis: a modeling study.

M L Corradini1, S Fioretti, T Leo, R Piperno.   

Abstract

In the present study, spontaneous postural behavior has been analyzed in freely standing multiple sclerosis (MS) patients, exhibiting no clinically assessable abnormalities of postural control. This population has been compared with two other groups, healthy people and hemiparetic patients. This latter group represents a situation where the central nervous system (CNS) lesion is precisely localized in one anatomical site and no signal-conduction disorders are present; i.e., it has an opposite anatomical character with respect to the MS at a preclinical stage. The hypothesis underlying the modeling study is the presence of a controller block working in a feedback posture control system. This controller block receives the body sway as input, and produces the corresponding ankle torque stabilizing the body, the latter being modeled as an inverted pendulum. The CNS damage, caused by MS, is supposed to be reflected in some detectable change in the structure of the controller of the posture control system. The identification of the controller has been performed by means of a parametric estimation procedure which employed as input sequences, data recorded by means of a movement-analysis (MA) system. Reported findings show a structural changes of the model of the controller block in the posture control system. This result may suggest the presence of an MS-specific reorganization of the posture control system. Some speculation is finally made on the black-box approach in comparison with traditional posturography, to arrive at hypothesizing a progression path for postural disorders.

Entities:  

Mesh:

Year:  1997        PMID: 9353982     DOI: 10.1109/10.641330

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  14 in total

1.  Understanding balance differences in individuals with multiple sclerosis with mild disability: an investigation of differences in sensory feedback on postural control during a Romberg task.

Authors:  Luke T Denommé; Patricia Mandalfino; Michael E Cinelli
Journal:  Exp Brain Res       Date:  2014-02-28       Impact factor: 1.972

2.  Screening for balance disorders in mildly affected multiple sclerosis patients.

Authors:  Malou H J Fanchamps; Henrik Gensicke; Jens Kuhle; Ludwig Kappos; John H J Allum; Ozgür Yaldizli
Journal:  J Neurol       Date:  2011-12-21       Impact factor: 4.849

3.  A phase-locked loop model of the response of the postural control system to periodic platform motion.

Authors:  Robert J Schilling; Charles J Robinson
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-04-08       Impact factor: 3.802

4.  The impact of dynamic balance measures on walking performance in multiple sclerosis.

Authors:  Nora E Fritz; Rhul Evans R Marasigan; Peter A Calabresi; Scott D Newsome; Kathleen M Zackowski
Journal:  Neurorehabil Neural Repair       Date:  2014-05-01       Impact factor: 3.919

Review 5.  Postural control in multiple sclerosis: implications for fall prevention.

Authors:  Michelle H Cameron; Stephen Lord
Journal:  Curr Neurol Neurosci Rep       Date:  2010-09       Impact factor: 5.081

6.  Trunk sway in mildly disabled multiple sclerosis patients with and without balance impairment.

Authors:  Oliver Findling; Johann Sellner; Niklaus Meier; John H J Allum; Dominique Vibert; Carmen Lienert; Heinrich P Mattle
Journal:  Exp Brain Res       Date:  2011-07-20       Impact factor: 1.972

7.  A quiet standing index for testing the postural sway of healthy and diabetic adults across a range of ages.

Authors:  Robert J Schilling; Erik M Bollt; George D Fulk; Joseph D Skufca; Ahmad F Al-Ajlouni; Charles J Robinson
Journal:  IEEE Trans Biomed Eng       Date:  2009-02       Impact factor: 4.538

8.  Self-reported gait unsteadiness in mildly impaired neurological patients: an objective assessment through statistical gait analysis.

Authors:  Maria Grazia Benedetti; Valentina Agostini; Marco Knaflitz; Verusca Gasparroni; Marco Boschi; Roberto Piperno
Journal:  J Neuroeng Rehabil       Date:  2012-08-29       Impact factor: 4.262

9.  Motor fatigue measurement by distance-induced slow down of walking speed in multiple sclerosis.

Authors:  Rémy Phan-Ba; Philippe Calay; Patrick Grodent; Gael Delrue; Emilie Lommers; Valérie Delvaux; Gustave Moonen; Shibeshih Belachew
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

10.  Activities-specific balance confidence in people with multiple sclerosis.

Authors:  Ylva Nilsagård; Anna Carling; Anette Forsberg
Journal:  Mult Scler Int       Date:  2012-08-07
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