Detecting asymmetries in balance control with system identification: first experimental results from Parkinson patients.

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Publication year
2007Source
Journal of Neural Transmission, 114, 10, (2007), pp. 1333-7ISSN
Publication type
Article / Letter to editor

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Organization
Paediatrics - OUD tm 2017
Katholiek Studiecentrum
Neurology
Donders Centre for Cognitive Neuroimaging
Journal title
Journal of Neural Transmission
Volume
vol. 114
Issue
iss. 10
Page start
p. 1333
Page end
p. 7
Subject
DCN 2: Functional Neurogenomics; NCEBP 10: Human Movement & Fatigue; UMCN 3.2: Cognitive neurosciencesAbstract
Cognitive processes can influence balance in various ways, but not all changes in postural performance can easily be identified with the naked clinical eye. Various studies have shown that dynamic posturography is able to detect more subtle changes in balance control. For patients with Parkinson's disease (which is typically an asymmetric disease), changes in the symmetry of balance control might provide a sensitive measure of cognitive influences on balance. Here, we describe a new posturography technique that combines dynamic platform perturbations with system identification techniques to detect such asymmetries in balance control of two patients with Parkinson's disease. Results were compared to those of six healthy controls. Our pilot data show clear asymmetries in dynamic balance control, even though patients themselves were not aware of this and had no subjective problems with stability or standing. We also found asymmetries in weight bearing, but the asymmetries in dynamic balance contribution were larger. Finally, asymmetries in weight bearing and dynamic balance in patients were not tightly coupled as in healthy controls. Future studies could incorporate this approach when examining the influence of mental decline on postural regulation.
This item appears in the following Collection(s)
- Academic publications [232165]
- Donders Centre for Cognitive Neuroimaging [3763]
- Electronic publications [115400]
- Faculty of Medical Sciences [89075]
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