Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000470293500001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.3389/fnhum.2019.00172
Externe Identifier
  • Clarivate Analytics Document Solution ID: IB5EG
  • PubMed Identifier: 31231200
ISSN
1662-5161
Zeitschrift
FRONTIERS IN HUMAN NEUROSCIENCE
Schlüsselwörter
  • multi-modal approach
  • electroencephalography
  • functional near-infrared spectroscopy
  • robot-assisted gait training
  • motor recovery
  • neurorehabilitation
  • brain-machine interface
  • brain stimulation
Artikelnummer
ARTN 172
Datum der Veröffentlichung
2019
Status
Published
Titel
Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review
Sub types
  • Review
Ausgabe der Zeitschrift
13

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Autoren
DOI
10.3389/fnhum.2019.00172
eISSN
1662-5161
Zeitschrift
Frontiers in Human Neuroscience
Online publication date
2019
Status
Published online
Herausgeber
Frontiers Media SA
Herausgeber URL
http://dx.doi.org/10.3389/fnhum.2019.00172
Datum der Datenerfassung
2019
Titel
Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review
Ausgabe der Zeitschrift
13

Datenquelle: Crossref

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 or as part of brain-machine interface 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.
Addresses
  • Department of Sport Psychology, Institute of Sport Science, Johannes Gutenberg-University, Mainz, Germany.
Autoren
DOI
10.3389/fnhum.2019.00172
eISSN
1662-5161
Externe Identifier
  • PubMed Identifier: 31231200
  • PubMed Central ID: PMC6561323
Open access
true
ISSN
1662-5161
Zeitschrift
Frontiers in human neuroscience
Sprache
eng
Medium
Electronic-eCollection
Online publication date
2019
Open access status
Open Access
Paginierung
172
Datum der Veröffentlichung
2019
Status
Published
Publisher licence
CC BY
Datum der Datenerfassung
2019
Titel
Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review.
Sub types
  • review-article
  • Review
  • Journal Article
Ausgabe der Zeitschrift
13

Files

https://www.frontiersin.org/articles/10.3389/fnhum.2019.00172/pdf https://europepmc.org/articles/PMC6561323?pdf=render

Datenquelle: Europe PubMed Central

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 or as part of brain-machine interface 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.
Date of acceptance
2019
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/31231200
DOI
10.3389/fnhum.2019.00172
Externe Identifier
  • PubMed Central ID: PMC6561323
ISSN
1662-5161
Zeitschrift
Front Hum Neurosci
Schlüsselwörter
  • brain stimulation
  • brain-machine interface
  • electroencephalography
  • functional near-infrared spectroscopy
  • motor recovery
  • multi-modal approach
  • neurorehabilitation
  • robot-assisted gait training
Sprache
eng
Country
Switzerland
Paginierung
172
Datum der Veröffentlichung
2019
Status
Published online
Titel
Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review.
Sub types
  • Journal Article
  • Review
Ausgabe der Zeitschrift
13

Datenquelle: PubMed

Author's licence
CC-BY
Autoren
Hosting institution
Universitätsbibliothek Mainz
Sammlungen
  • JGU-Publikationen
Resource version
Published version
URN
urn:nbn:de:hebis:77-publ-591104
DOI
10.3389/fnhum.2019.00172
Funding acknowledgements
  • DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin
File(s) embargoed
false
Open access
true
ISSN
1662-5161
Zeitschrift
Frontiers in human neuroscience
Schlüsselwörter
  • 796 Sport
  • 796 Athletic and outdoor sports and games
Sprache
eng
Open access status
Open Access
Paginierung
Art. 172
Datum der Veröffentlichung
2019
Public URL
https://openscience.ub.uni-mainz.de/handle/20.500.12030/157
Herausgeber
Frontiers Research Foundation
Herausgeber URL
http://dx.doi.org/10.3389/fnhum.2019.00172
Datum der Datenerfassung
2019
Datum, an dem der Datensatz öffentlich gemacht wurde
2019
Zugang
Public
Titel
Current state and future prospects of EEG and fNIRS in robot-assisted gait rehabilitation : a brief review
Ausgabe der Zeitschrift
13

Files

59110.pdf

Datenquelle: OPENSCIENCE.UB

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 or as part of brain-machine interface 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.
Autoren
DOI
10.3389/fnhum.2019.00172
ISSN
1662-5161
Zeitschrift
Frontiers in human neuroscience
Notes
file: http://www.ncbi.nlm.nih.gov/pubmed/31231200 file: http://www.ncbi.nlm.nih.gov/pubmed/31231200
Paginierung
172 - 172
Datum der Veröffentlichung
2019
Datum der Datenerfassung
2021
Titel
Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review
Sub types
  • article
Ausgabe der Zeitschrift
13

Datenquelle: Manual

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