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2020-06-05Zeitschriftenartikel DOI: 10.18452/24682
Muscle Synergies in Parkinson’s Disease
dc.contributor.authorMileti, Ilaria
dc.contributor.authorZampogna, Alessandro
dc.contributor.authorSantuz, Alessandro
dc.contributor.authorAsci, Francesco
dc.contributor.authorDel Prete, Zaccaria
dc.contributor.authorArampatzis, Adamantios
dc.contributor.authorPalermo, Eduardo
dc.contributor.authorSuppa, Antonio
dc.date.accessioned2022-05-19T09:42:03Z
dc.date.available2022-05-19T09:42:03Z
dc.date.issued2020-06-05none
dc.date.updated2020-07-11T06:01:24Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/25346
dc.description.abstractOver 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.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectParkinson’s diseaseeng
dc.subjectmuscle synergieseng
dc.subjectmotor moduleseng
dc.subjectmotor primitiveseng
dc.subjectelectromyographyeng
dc.subjectbalanceeng
dc.subjectlocomotioneng
dc.subjectgaiteng
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitennone
dc.titleMuscle Synergies in Parkinson’s Diseasenone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/25346-3
dc.identifier.doihttp://dx.doi.org/10.18452/24682
dc.type.versionpublishedVersionnone
local.edoc.pages21none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn1424-8220
dcterms.bibliographicCitation.doi10.3390/s20113209none
dcterms.bibliographicCitation.journaltitleSensorsnone
dcterms.bibliographicCitation.volume20none
dcterms.bibliographicCitation.issue11none
dcterms.bibliographicCitation.articlenumber3209none
dcterms.bibliographicCitation.originalpublishernameMDPInone
dcterms.bibliographicCitation.originalpublisherplaceBaselnone
bua.departmentKultur-, Sozial- und Bildungswissenschaftliche Fakultätnone

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