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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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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. |
format | Online Article Text |
id | pubmed-5853013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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