Paper Info
Title
Muscle Synergies in Parkinson's Disease.
Abstract
Over the last two decades, experimental studies in humans and other vertebrates have increasingly used muscle synergy analysis as a computational tool to examine the physiological basis of motor control. The theoretical background of muscle synergies is based on the potential ability of the motor system to coordinate muscles groups as a single unit, thus reducing high-dimensional data to low-dimensional elements. Muscle synergy analysis may represent a new framework to examine the pathophysiological basis of specific motor symptoms in Parkinson's disease (PD), including balance and gait disorders that are often unresponsive to treatment. The precise mechanisms contributing to these motor symptoms in PD remain largely unknown. A better understanding of the pathophysiology of balance and gait disorders in PD is necessary to develop new therapeutic strategies. This narrative review discusses muscle synergies in the evaluation of motor symptoms in PD. We first discuss the theoretical background and computational methods for muscle synergy extraction from physiological data. We then critically examine studies assessing muscle synergies in PD during different motor tasks including balance, gait and upper limb movements. Finally, we speculate about the prospects and challenges of muscle synergy analysis in order to promote future research protocols in PD.
Year
DOI
Venue
2020
10.3390/s20113209
SENSORS
Keywords
DocType
Volume
Parkinson's disease,muscle synergies,motor modules,motor primitives,electromyography,balance,locomotion,gait
Journal
20
Issue
ISSN
Citations 
11.0
1424-8220
1
PageRank 
References 
Authors
0.43
0
8
Name
Order
Citations
PageRank
Ilaria Mileti1135.10
Alessandro Zampogna243.56
Alessandro Santuz331.16
Francesco Asci411.45
Zaccaria Del Prete5910.45
Adamantios Arampatzis631.84
Eduardo Palermo78415.96
Antonio Suppa853.92