Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115309
DC FieldValueLanguage
dc.contributorDepartment of Biomedical Engineering-
dc.creatorLin, L-
dc.creatorQing, W-
dc.creatorZheng, Z-
dc.creatorPoon, W-
dc.creatorGuo, SS-
dc.creatorZhang, S-
dc.creatorHu, XL-
dc.date.accessioned2025-09-19T03:24:01Z-
dc.date.available2025-09-19T03:24:01Z-
dc.identifier.urihttp://hdl.handle.net/10397/115309-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rights© 2024 Lin, Qing, Zheng, Poon, Guo, Zhang and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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.en_US
dc.rightsThe following publication Lin, L., Qing, W., Zheng, Z., Poon, W., Guo, S., Zhang, S., & Hu, X. (2024). Somatosensory integration in robot-assisted motor restoration post-stroke. Frontiers in Aging Neuroscience, 16, 1491678 is available at https://doi.org/10.3389/fnagi.2024.1491678.en_US
dc.subjectMovement recoveryen_US
dc.subjectNeuroimagingen_US
dc.subjectNeuromodulationen_US
dc.subjectRehabilitationen_US
dc.subjectRoboten_US
dc.subjectSensorimotor integrationen_US
dc.subjectSomatosensory stimulationen_US
dc.subjectStrokeen_US
dc.subjectArticleen_US
dc.subjectBerg balance scaleen_US
dc.subjectBlood flow velocityen_US
dc.subjectBrain blood flowen_US
dc.subjectCentral nervous systemen_US
dc.subjectCerebrovascular accidenten_US
dc.subjectDeltoid muscleen_US
dc.subjectDorsolateral prefrontal cortexen_US
dc.subjectEchographyen_US
dc.subjectElectroencephalographyen_US
dc.subjectElectromyographyen_US
dc.subjectElectrostimulationen_US
dc.subjectEntropyen_US
dc.subjectFeedback systemen_US
dc.subjectFunctional connectivityen_US
dc.subjectHealth care qualityen_US
dc.subjectHemodynamicsen_US
dc.subjectHumanen_US
dc.subjectIntegrationen_US
dc.subjectLearningen_US
dc.subjectMean arterial pressureen_US
dc.subjectMotor evoked potentialen_US
dc.subjectMotor performanceen_US
dc.subjectMotor restorationen_US
dc.subjectNerve cell plasticityen_US
dc.subjectNerve stimulationen_US
dc.subjectNeuroimagingen_US
dc.subjectNeuromodulationen_US
dc.subjectNeuromuscular electrical stimulationen_US
dc.subjectNeurorehabilitationen_US
dc.subjectNociceptionen_US
dc.subjectOptogeneticsen_US
dc.subjectPrimary motor cortexen_US
dc.subjectProtocolen_US
dc.subjectPulsatility indexen_US
dc.subjectRehabilitation medicineen_US
dc.subjectRobot assisted surgeryen_US
dc.subjectSensorimotor integrationen_US
dc.subjectSensory cortexen_US
dc.subjectSignal noise ratioen_US
dc.subjectSomatosensory cortexen_US
dc.subjectSomatosensory stimulationen_US
dc.subjectSomatosensory systemen_US
dc.subjectSpinal cord injuryen_US
dc.subjectStroke rehabilitationen_US
dc.subjectTactile stimulationen_US
dc.subjectTelerehabilitationen_US
dc.subjectTrainingen_US
dc.subjectTranscranial direct current stimulationen_US
dc.subjectTranscranial magnetic stimulationen_US
dc.titleSomatosensory integration in robot-assisted motor restoration post-strokeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume16-
dc.identifier.doi10.3389/fnagi.2024.1491678-
dcterms.abstractDisruption of somatosensorimotor integration (SMI) after stroke is a significant obstacle to achieving precise motor restoration. Integrating somatosensory input into motor relearning to reconstruct SMI is critical during stroke rehabilitation. However, current robotic approaches focus primarily on precise control of repetitive movements and rarely effectively engage and modulate somatosensory responses, which impedes motor rehabilitation that relies on SMI. This article discusses how to effectively regulate somatosensory feedback from target muscles through peripheral and central neuromodulatory stimulations based on quantitatively measured somatosensory responses in real time during robot-assisted rehabilitation after stroke. Further development of standardized recording protocols and diagnostic databases of quantitative neuroimaging features in response to post-stroke somatosensory stimulations for real-time precise detection, and optimized combinations of peripheral somatosensory stimulations with robot assistance and central nervous neuromodulation are needed to enhance the recruitment of targeted ascending neuromuscular pathways in robot-assisted training, aiming to achieve precise muscle control and integrated somatosensorimotor functions, thereby improving long-term neurorehabilitation after stroke.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in aging neuroscience, 6 Nov. 2024, v. 16, 1491678-
dcterms.isPartOfFrontiers in aging neuroscience-
dcterms.issued2024-11-
dc.identifier.scopus2-s2.0-85209570808-
dc.identifier.eissn1663-4365-
dc.identifier.artn1491678-
dc.description.validate202509 bchy-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2024-2025en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the University Grants Committee Research Grants Council, Hong Kong (GRF15207120, SRFS2122-5S04, GRF15304322, and GRF15304823), the Hong Kong Polytechnic University (1-ZVVP and 1-CD74), and the Innovation and Technology Fund \u2013 Guangdong-Hong Kong Technology Cooperation Funding Scheme (ITF-TCFS) (GHP/260/22SZ).en_US
dc.description.pubStatusPublisheden_US
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