Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-155
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dc.contributor.authorBerger, Alisa-
dc.contributor.authorHorst, Fabian-
dc.contributor.authorMüller, Sophia-
dc.contributor.authorSteinberg, Fabian-
dc.contributor.authorDoppelmayr, Michael-
dc.date.accessioned2019-06-17T09:58:34Z-
dc.date.available2019-06-17T11:58:34Z-
dc.date.issued2019-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/157-
dc.description.abstractGait and balance impairments are frequently considered as the most significant concerns among individuals suffering from neurological diseases. Robot-assisted gait training (RAGT) has shown to be a promising neurorehabilitation intervention to improve gait recovery in patients following stroke or brain injury by potentially initiating neuroplastic changes. However, the neurophysiological processes underlying gait recovery through RAGT remain poorly understood. As non-invasive, portable neuroimaging techniques, electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) provide new insights regarding the neurophysiological processes occurring during RAGT by measuring different perspectives of brain activity. Due to spatial information about changes in cortical activation patterns and the rapid temporal resolution of bioelectrical changes, more features correlated with brain activation and connectivity can be identified when using fused EEG-fNIRS, thus leading to a detailed understanding of neurophysiological mechanisms underlying motor behavior and impairments due to neurological diseases. Therefore, multi-modal integrations of EEG-fNIRS appear promising for the characterization of neurovascular coupling in brain network dynamics induced by RAGT. In this brief review, we surveyed neuroimaging studies focusing specifically on robotic gait rehabilitation. While previous studies have examined either EEG or fNIRS with respect to RAGT, a multi-modal integration of both approaches is lacking. Based on comparable studies using fused EEG-fNIRS integrations either for guiding non-invasive brain stimulation (NIBS) or as part of brain-machine interface (BMI) paradigms, the potential of this methodologically combined approach in RAGT is discussed. Future research directions and perspectives for targeted, individualized gait recovery that optimize the outcome and efficiency of RAGT in neurorehabilitation were further derived.en_GB
dc.description.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin-
dc.language.isoeng-
dc.rightsCC BYde_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc796 Sportde_DE
dc.subject.ddc796 Athletic and outdoor sports and gamesen_GB
dc.titleCurrent state and future prospects of EEG and fNIRS in robot-assisted gait rehabilitation : a brief reviewen_GB
dc.typeZeitschriftenaufsatzde_DE
dc.identifier.urnurn:nbn:de:hebis:77-publ-591104-
dc.identifier.doihttp://doi.org/10.25358/openscience-155-
jgu.type.dinitypearticle-
jgu.type.versionPublished versionen_GB
jgu.type.resourceText-
jgu.organisation.departmentFB 02 Sozialwiss., Medien u. Sport-
jgu.organisation.number7910-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleFrontiers in human neuroscience-
jgu.journal.volume13-
jgu.pages.alternativeArt. 172-
jgu.publisher.year2019-
jgu.publisher.nameFrontiers Research Foundation-
jgu.publisher.placeLausanne-
jgu.publisher.urihttp://dx.doi.org/10.3389/fnhum.2019.00172-
jgu.publisher.issn1662-5161-
jgu.organisation.placeMainz-
jgu.subject.ddccode796-
opus.date.accessioned2019-06-17T09:58:34Z-
opus.date.modified2019-06-17T10:04:28Z-
opus.date.available2019-06-17T11:58:34-
opus.subject.dfgcode00-000-
opus.organisation.stringFB 02: Sozialwissenschaften, Medien und Sport: Institut für Sportwissenschaftde_DE
opus.identifier.opusid59110-
opus.institute.number0208-
opus.metadataonlyfalse-
opus.type.contenttypeKeinede_DE
opus.type.contenttypeNoneen_GB
opus.affiliatedBerger, Alisa-
opus.affiliatedHorst, Fabian-
opus.affiliatedSteinberg, Fabian-
opus.affiliatedDoppelmayr, Michael-
jgu.publisher.doi10.3389/fnhum.2019.00172
jgu.organisation.rorhttps://ror.org/023b0x485
Appears in collections:JGU-Publikationen

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