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Margins of postural stability in Parkinson’s disease: an application of control theory

Introduction: Postural instability is a restrictive feature in Parkinson’s disease (PD), usually assessed by clinical or laboratory tests. However, the exact quantification of postural stability, using stability theorems that take into account human dynamics, is still lacking. We investigated the fe...

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Autores principales: Rahmati, Zahra, Behzadipour, Saeed, Taghizadeh, Ghorban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539597/
https://www.ncbi.nlm.nih.gov/pubmed/37781528
http://dx.doi.org/10.3389/fbioe.2023.1226876
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author Rahmati, Zahra
Behzadipour, Saeed
Taghizadeh, Ghorban
author_facet Rahmati, Zahra
Behzadipour, Saeed
Taghizadeh, Ghorban
author_sort Rahmati, Zahra
collection PubMed
description Introduction: Postural instability is a restrictive feature in Parkinson’s disease (PD), usually assessed by clinical or laboratory tests. However, the exact quantification of postural stability, using stability theorems that take into account human dynamics, is still lacking. We investigated the feasibility of control theory and the Nyquist stability criterion—gain margin (GM) and phase margin (PM)—in discriminating postural instability in PD, as well as the effects of a balance-training program. Methods: Center-of-pressure (COP) data of 40 PD patients before and after a 4-week balance-training program, and 20 healthy control subjects (HCs) (Study1) as well as COP data of 20 other PD patients at four time points during a 6-week balance-training program (Study2), collected in two earlier studies, were used. COP was recorded in four tasks, two on a rigid surface and two on foam, both with eyes open and eyes closed. A postural control model (an inverted pendulum with a Proportional-integral-derivative (PID) controller and time delay) was fitted to the COP data to subject-specifically identify the model parameters thereby calculating |GM| and PM for each subject in each task. Results: PD patients had a smaller margin of stability (|GM| and PM) compared with HCs. Particularly, patients, unlike HCs, showed a drastic drop in PM on foam. Clinical outcomes and margins of stability improved in patients after balance training. |GM| improved early in week 4, followed by a plateau during the rest of the training. In contrast, PM improved late (week 6) in a relatively continuous-progression form. Conclusion: Using fundamental stability theorems is a promising technique for the standardized quantification of postural stability in various tasks.
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spelling pubmed-105395972023-09-30 Margins of postural stability in Parkinson’s disease: an application of control theory Rahmati, Zahra Behzadipour, Saeed Taghizadeh, Ghorban Front Bioeng Biotechnol Bioengineering and Biotechnology Introduction: Postural instability is a restrictive feature in Parkinson’s disease (PD), usually assessed by clinical or laboratory tests. However, the exact quantification of postural stability, using stability theorems that take into account human dynamics, is still lacking. We investigated the feasibility of control theory and the Nyquist stability criterion—gain margin (GM) and phase margin (PM)—in discriminating postural instability in PD, as well as the effects of a balance-training program. Methods: Center-of-pressure (COP) data of 40 PD patients before and after a 4-week balance-training program, and 20 healthy control subjects (HCs) (Study1) as well as COP data of 20 other PD patients at four time points during a 6-week balance-training program (Study2), collected in two earlier studies, were used. COP was recorded in four tasks, two on a rigid surface and two on foam, both with eyes open and eyes closed. A postural control model (an inverted pendulum with a Proportional-integral-derivative (PID) controller and time delay) was fitted to the COP data to subject-specifically identify the model parameters thereby calculating |GM| and PM for each subject in each task. Results: PD patients had a smaller margin of stability (|GM| and PM) compared with HCs. Particularly, patients, unlike HCs, showed a drastic drop in PM on foam. Clinical outcomes and margins of stability improved in patients after balance training. |GM| improved early in week 4, followed by a plateau during the rest of the training. In contrast, PM improved late (week 6) in a relatively continuous-progression form. Conclusion: Using fundamental stability theorems is a promising technique for the standardized quantification of postural stability in various tasks. Frontiers Media S.A. 2023-09-14 /pmc/articles/PMC10539597/ /pubmed/37781528 http://dx.doi.org/10.3389/fbioe.2023.1226876 Text en Copyright © 2023 Rahmati, Behzadipour and Taghizadeh. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Rahmati, Zahra
Behzadipour, Saeed
Taghizadeh, Ghorban
Margins of postural stability in Parkinson’s disease: an application of control theory
title Margins of postural stability in Parkinson’s disease: an application of control theory
title_full Margins of postural stability in Parkinson’s disease: an application of control theory
title_fullStr Margins of postural stability in Parkinson’s disease: an application of control theory
title_full_unstemmed Margins of postural stability in Parkinson’s disease: an application of control theory
title_short Margins of postural stability in Parkinson’s disease: an application of control theory
title_sort margins of postural stability in parkinson’s disease: an application of control theory
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539597/
https://www.ncbi.nlm.nih.gov/pubmed/37781528
http://dx.doi.org/10.3389/fbioe.2023.1226876
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