Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-155
Authors: Berger, Alisa
Horst, Fabian
Müller, Sophia
Steinberg, Fabian
Doppelmayr, Michael
Title: Current state and future prospects of EEG and fNIRS in robot-assisted gait rehabilitation : a brief review
Online publication date: 17-Jun-2019
Year of first publication: 2019
Language: english
Abstract: Gait 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.
DDC: 796 Sport
796 Athletic and outdoor sports and games
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 02 Sozialwiss., Medien u. Sport
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-155
URN: urn:nbn:de:hebis:77-publ-591104
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Frontiers in human neuroscience
13
Pages or article number: Art. 172
Publisher: Frontiers Research Foundation
Publisher place: Lausanne
Issue date: 2019
ISSN: 1662-5161
Publisher URL: http://dx.doi.org/10.3389/fnhum.2019.00172
Publisher DOI: 10.3389/fnhum.2019.00172
Appears in collections:JGU-Publikationen

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