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Quantification and Modulation of Tremor in Rapid Upper Limb Movements

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Química
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorFaria, Paula
dc.contributor.authorLeal, Adriana
dc.contributor.authorFreire, António
dc.contributor.authorJanuário, Cristina
dc.contributor.authorPatrício, Miguel
dc.contributor.authorCastelo-Branco, Miguel
dc.date.accessioned2025-07-07T13:55:10Z
dc.date.available2025-07-07T13:55:10Z
dc.date.issued2014
dc.descriptionEISBN - 9783319030050
dc.descriptionhttps://www.researchgate.net/publication/258870268_Quantification_and_Modulation_of_Tremor_in_Rapid_Upper_Limb_Movements
dc.description.abstractTremor is a manifestation of a variety of human neurodegenerative diseases, notably Parkinson’s disease (PD), a chronic disease that affects one in 100 people over age 60 years. Recent research indicates that more than five million worldwide have PD. This disease is primarily caused by a progressive loss of dopamine neurons in the nigrostriatal system that leads to widespread motor symptoms such as bradykinesia, rigidity, tremor and postural instability. Although the diagnosis of PD remains clinical, advances in functional and structural imaging have improved the ability to differentiate between PD and Essential Tremor (ET), as well as between different akinetic-rigid syndromes. No definitive test or biomarker is available for PD, so the rate of misdiagnosis is relatively high. It is therefore crucial to be able to characterize tremor in PD and ET as it is a very common feature at the onset of both diseases. This is made possible with a combination of a neuroscientific and methodological multi-modal imaging approaches, namely kinetic recording methods using accelerometers to quantify tremor amplitude and frequency and functional magnetic resonance imaging (fMRI). These allow the identification of the neural underpinnings of tremor in both PD and ET patients, which in fact have been surprisingly difficult to decipher. In this work we aim to find which tasks involving upper limb movements are suitable to modulate both PD and ET tremor. The same tasks are considered with and without added loading. The resulting analysis will allow designing an efficient fMRI protocol aiming at the identification of the cortical circuits responsible for the modulation of tremor.eng
dc.description.sponsorshipWe are grateful to David Ribeiro, Gregor Philipiak and João Paulo Cunha from IEETA, University of Aveiro, Portugal for the home made accelerometers built and for the technical support on data acquisition. This was supported by National Funds through FCT – Foundation for Science and Technology within the project PEst-OE/EME/UI4044/2013.
dc.identifier.citationFaria, P., Leal, A., Freire, A., Januário, C., Patrício, M., Castelo-Branco, M. (2014). Quantification and Modulation of Tremor in Rapid Upper Limb Movements. In: Zhang, YT. (eds) The International Conference on Health Informatics. IFMBE Proceedings, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-03005-0_86.
dc.identifier.doi10.1007/978-3-319-03005-0_86
dc.identifier.eissn1433-9277
dc.identifier.isbn9783319030043
dc.identifier.isbn9783319030050
dc.identifier.issn1680-0737
dc.identifier.urihttp://hdl.handle.net/10400.8/13557
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationStrategic Project - UI 4044 - 2013-2014
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-03005-0_86
dc.relation.ispartofIFMBE Proceedings
dc.relation.ispartofThe International Conference on Health Informatics
dc.rights.uriN/A
dc.subjectParkinson disease
dc.subjectessential tremor
dc.subjecttremor quantification
dc.subjecttremor modulation
dc.subjectelectrophysiology
dc.titleQuantification and Modulation of Tremor in Rapid Upper Limb Movementseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 4044 - 2013-2014
oaire.awardURIhttp://hdl.handle.net/10400.8/13452
oaire.citation.conferenceDate2013-11
oaire.citation.conferencePlaceVilamoura, Portugal
oaire.citation.endPage4
oaire.citation.startPage1
oaire.citation.titleIFMBE Proceedings
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNamePascoal-Faria
person.givenNamePaula
person.identifier.ciencia-idE01D-874A-4145
person.identifier.orcid0000-0003-1474-9496
relation.isAuthorOfPublicationebb27133-d9ce-4f58-a4ca-f75a786bbc2e
relation.isAuthorOfPublication.latestForDiscoveryebb27133-d9ce-4f58-a4ca-f75a786bbc2e
relation.isProjectOfPublicationf02b0b18-7e69-4879-a8cc-74cd2f9cbc44
relation.isProjectOfPublication.latestForDiscoveryf02b0b18-7e69-4879-a8cc-74cd2f9cbc44

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Tremor is a manifestation of a variety of human neurodegenerative diseases, notably Parkinson’s disease (PD), a chronic disease that affects one in 100 people over age 60 years. Recent research indicates that more than five million worldwide have PD. This disease is primarily caused by a progressive loss of dopamine neurons in the nigrostriatal system that leads to widespread motor symptoms such as bradykinesia, rigidity, tremor and postural instability. Although the diagnosis of PD remains clinical, advances in functional and structural imaging have improved the ability to differentiate between PD and Essential Tremor (ET), as well as between different akinetic-rigid syndromes. No definitive test or biomarker is available for PD, so the rate of misdiagnosis is relatively high. It is therefore crucial to be able to characterize tremor in PD and ET as it is a very common feature at the onset of both diseases. This is made possible with a combination of a neuroscientific and methodological multi-modal imaging approaches, namely kinetic recording methods using accelerometers to quantify tremor amplitude and frequency and functional magnetic resonance imaging (fMRI). These allow the identification of the neural underpinnings of tremor in both PD and ET patients, which in fact have been surprisingly difficult to decipher. In this work we aim to find which tasks involving upper limb movements are suitable to modulate both PD and ET tremor. The same tasks are considered with and without added loading. The resulting analysis will allow designing an efficient fMRI protocol aiming at the identification of the cortical circuits responsible for the modulation of tremor.
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