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Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease

BACKGROUND: In the last decades, several studies showed that wearable sensors, used for assessing Parkinson’s disease (PD) motor symptoms and recording their fluctuations, could provide a quantitative and reliable tool for patient’s motor performance monitoring. OBJECTIVE: The aim of this study is t...

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Autores principales: di Biase, Lazzaro, Summa, Susanna, Tosi, Jacopo, Taffoni, Fabrizio, Marano, Massimo, Cascio Rizzo, Angelo, Vecchio, Fabrizio, Formica, Domenico, Di Lazzaro, Vincenzo, Di Pino, Giovanni, Tombini, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853013/
https://www.ncbi.nlm.nih.gov/pubmed/29568281
http://dx.doi.org/10.3389/fneur.2018.00121
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author di Biase, Lazzaro
Summa, Susanna
Tosi, Jacopo
Taffoni, Fabrizio
Marano, Massimo
Cascio Rizzo, Angelo
Vecchio, Fabrizio
Formica, Domenico
Di Lazzaro, Vincenzo
Di Pino, Giovanni
Tombini, Mario
author_facet di Biase, Lazzaro
Summa, Susanna
Tosi, Jacopo
Taffoni, Fabrizio
Marano, Massimo
Cascio Rizzo, Angelo
Vecchio, Fabrizio
Formica, Domenico
Di Lazzaro, Vincenzo
Di Pino, Giovanni
Tombini, Mario
author_sort di Biase, Lazzaro
collection PubMed
description BACKGROUND: In the last decades, several studies showed that wearable sensors, used for assessing Parkinson’s disease (PD) motor symptoms and recording their fluctuations, could provide a quantitative and reliable tool for patient’s motor performance monitoring. OBJECTIVE: The aim of this study is to make a step forward the capability of quantitatively describing PD motor symptoms. The specific aims are: identify the most sensible place where to locate sensors to monitor PD bradykinesia and rigidity, and identify objective indexes able to discriminate PD OFF/ON motor status, and PD patients from healthy subjects (HSs). METHODS: Fourteen PD patients (H&Y stage 1–2.5), and 13 age-matched HSs, were enrolled. Five magneto-inertial wearable sensors, placed on index finger, thumb, metacarpus, wrist, and arm, were used as motion tracking systems. Sensors were placed on the most affected arm of PD patients, and on dominant hand of HS. Three UPDRS part III tasks were evaluated: rigidity (task 22), finger tapping (task 23), and prono-supination movements of the hands (task 25). A movement disorders expert rated the three tasks according to the UPDRS part III scoring system. In order to describe each task, different kinematic indexes from sensors were extracted and analyzed. RESULTS: Four kinematic indexes were extracted: fatigability; total time; total power; smoothness. The last three well-described PD OFF/ON motor status, during finger-tapping task, with an index finger sensor. During prono-supination task, wrist sensor was able to differentiate PD OFF/ON motor condition. Smoothness index, used as a rigidity descriptor, provided a good discrimination of the PD OFF/ON motor status. Total power index, showed the best accuracy for PD vs healthy discrimination, with any sensor location among index finger, thumb, metacarpus, and wrist. CONCLUSION: The present study shows that, in order to better describe the kinematic features of Parkinsonian movements, wearable sensors should be placed on a distal location on upper limb, on index finger or wrist. The proposed indexes demonstrated a good correlation with clinical scores, thus providing a quantitative tool for research purposes in future studies in this field.
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spelling pubmed-58530132018-03-22 Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease di Biase, Lazzaro Summa, Susanna Tosi, Jacopo Taffoni, Fabrizio Marano, Massimo Cascio Rizzo, Angelo Vecchio, Fabrizio Formica, Domenico Di Lazzaro, Vincenzo Di Pino, Giovanni Tombini, Mario Front Neurol Neuroscience BACKGROUND: In the last decades, several studies showed that wearable sensors, used for assessing Parkinson’s disease (PD) motor symptoms and recording their fluctuations, could provide a quantitative and reliable tool for patient’s motor performance monitoring. OBJECTIVE: The aim of this study is to make a step forward the capability of quantitatively describing PD motor symptoms. The specific aims are: identify the most sensible place where to locate sensors to monitor PD bradykinesia and rigidity, and identify objective indexes able to discriminate PD OFF/ON motor status, and PD patients from healthy subjects (HSs). METHODS: Fourteen PD patients (H&Y stage 1–2.5), and 13 age-matched HSs, were enrolled. Five magneto-inertial wearable sensors, placed on index finger, thumb, metacarpus, wrist, and arm, were used as motion tracking systems. Sensors were placed on the most affected arm of PD patients, and on dominant hand of HS. Three UPDRS part III tasks were evaluated: rigidity (task 22), finger tapping (task 23), and prono-supination movements of the hands (task 25). A movement disorders expert rated the three tasks according to the UPDRS part III scoring system. In order to describe each task, different kinematic indexes from sensors were extracted and analyzed. RESULTS: Four kinematic indexes were extracted: fatigability; total time; total power; smoothness. The last three well-described PD OFF/ON motor status, during finger-tapping task, with an index finger sensor. During prono-supination task, wrist sensor was able to differentiate PD OFF/ON motor condition. Smoothness index, used as a rigidity descriptor, provided a good discrimination of the PD OFF/ON motor status. Total power index, showed the best accuracy for PD vs healthy discrimination, with any sensor location among index finger, thumb, metacarpus, and wrist. CONCLUSION: The present study shows that, in order to better describe the kinematic features of Parkinsonian movements, wearable sensors should be placed on a distal location on upper limb, on index finger or wrist. The proposed indexes demonstrated a good correlation with clinical scores, thus providing a quantitative tool for research purposes in future studies in this field. Frontiers Media S.A. 2018-03-06 /pmc/articles/PMC5853013/ /pubmed/29568281 http://dx.doi.org/10.3389/fneur.2018.00121 Text en Copyright © 2018 di Biase, Summa, Tosi, Taffoni, Marano, Cascio Rizzo, Vecchio, Formica, Di Lazzaro, Di Pino and Tombini. http://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 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 Neuroscience
di Biase, Lazzaro
Summa, Susanna
Tosi, Jacopo
Taffoni, Fabrizio
Marano, Massimo
Cascio Rizzo, Angelo
Vecchio, Fabrizio
Formica, Domenico
Di Lazzaro, Vincenzo
Di Pino, Giovanni
Tombini, Mario
Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
title Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
title_full Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
title_fullStr Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
title_full_unstemmed Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
title_short Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
title_sort quantitative analysis of bradykinesia and rigidity in parkinson’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853013/
https://www.ncbi.nlm.nih.gov/pubmed/29568281
http://dx.doi.org/10.3389/fneur.2018.00121
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