Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000504727700002&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1186/s12984-019-0636-3
eISSN
1743-0003
Externe Identifier
  • Clarivate Analytics Document Solution ID: JY9LN
  • PubMed Identifier: 31882008
Ausgabe der Veröffentlichung
1
Zeitschrift
JOURNAL OF NEUROENGINEERING AND REHABILITATION
Schlüsselwörter
  • Walking
  • Gait variability
  • GRF
  • Brain activity
  • Neuroimaging
  • Functional near-infrared spectroscopy
  • fNIRS
  • Robotic rehabilitation
  • RAGT
  • Neurorehabilitation
Artikelnummer
ARTN 161
Datum der Veröffentlichung
2019
Status
Published
Titel
Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people
Sub types
  • Article
Ausgabe der Zeitschrift
16

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) proved to be a promising treatment for restoring and improving the ability to walk. Due to heterogenuous study designs and fragmentary knowlegde about the neural correlates associated with RAGT and the relation to motor recovery, guidelines for an individually optimized therapy can hardly be derived. To optimize robotic rehabilitation, it is crucial to understand how robotic assistance affect locomotor control and its underlying brain activity. Thus, this study aimed to investigate the effects of robotic assistance (RA) during treadmill walking (TW) on cortical activity and the relationship between RA-related changes of cortical activity and biomechanical gait characteristics.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Twelve healthy, right-handed volunteers (9 females; M = 25 ± 4 years) performed unassisted walking (UAW) and robot-assisted walking (RAW) trials on a treadmill, at 2.8 km/h, in a randomized, within-subject design. Ground reaction forces (GRFs) provided information regarding the individual gait patterns, while brain activity was examined by measuring cerebral hemodynamic changes in brain regions associated with the cortical locomotor network, including the sensorimotor cortex (SMC), premotor cortex (PMC) and supplementary motor area (SMA), using functional near-infrared spectroscopy (fNIRS).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>A statistically significant increase in brain activity was observed in the SMC compared with the PMC and SMA (<jats:italic>p</jats:italic> &lt; 0.05), and a classical double bump in the vertical GRF was observed during both UAW and RAW throughout the stance phase. However, intraindividual gait variability increased significantly with RA and was correlated with increased brain activity in the SMC (<jats:italic>p</jats:italic> = 0.05; <jats:italic>r</jats:italic> = 0.57).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>On the one hand, robotic guidance could generate sensory feedback that promotes active participation, leading to increased gait variability and somatosensory brain activity. On the other hand, changes in brain activity and biomechanical gait characteristics may also be due to the sensory feedback of the robot, which disrupts the cortical network of automated walking in healthy individuals. More comprehensive neurophysiological studies both in laboratory and in clinical settings are necessary to investigate the entire brain network associated with RAW.</jats:p> </jats:sec>
Autoren
DOI
10.1186/s12984-019-0636-3
eISSN
1743-0003
Ausgabe der Veröffentlichung
1
Zeitschrift
Journal of NeuroEngineering and Rehabilitation
Sprache
en
Artikelnummer
161
Online publication date
2019
Datum der Veröffentlichung
2019
Status
Published
Herausgeber
Springer Science and Business Media LLC
Herausgeber URL
http://dx.doi.org/10.1186/s12984-019-0636-3
Datum der Datenerfassung
2020
Titel
Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people
Ausgabe der Zeitschrift
16

Datenquelle: Crossref

Abstract
<h4>Background</h4>Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) proved to be a promising treatment for restoring and improving the ability to walk. Due to heterogenuous study designs and fragmentary knowlegde about the neural correlates associated with RAGT and the relation to motor recovery, guidelines for an individually optimized therapy can hardly be derived. To optimize robotic rehabilitation, it is crucial to understand how robotic assistance affect locomotor control and its underlying brain activity. Thus, this study aimed to investigate the effects of robotic assistance (RA) during treadmill walking (TW) on cortical activity and the relationship between RA-related changes of cortical activity and biomechanical gait characteristics.<h4>Methods</h4>Twelve healthy, right-handed volunteers (9 females; M = 25 ± 4 years) performed unassisted walking (UAW) and robot-assisted walking (RAW) trials on a treadmill, at 2.8 km/h, in a randomized, within-subject design. Ground reaction forces (GRFs) provided information regarding the individual gait patterns, while brain activity was examined by measuring cerebral hemodynamic changes in brain regions associated with the cortical locomotor network, including the sensorimotor cortex (SMC), premotor cortex (PMC) and supplementary motor area (SMA), using functional near-infrared spectroscopy (fNIRS).<h4>Results</h4>A statistically significant increase in brain activity was observed in the SMC compared with the PMC and SMA (p < 0.05), and a classical double bump in the vertical GRF was observed during both UAW and RAW throughout the stance phase. However, intraindividual gait variability increased significantly with RA and was correlated with increased brain activity in the SMC (p = 0.05; r = 0.57).<h4>Conclusions</h4>On the one hand, robotic guidance could generate sensory feedback that promotes active participation, leading to increased gait variability and somatosensory brain activity. On the other hand, changes in brain activity and biomechanical gait characteristics may also be due to the sensory feedback of the robot, which disrupts the cortical network of automated walking in healthy individuals. More comprehensive neurophysiological studies both in laboratory and in clinical settings are necessary to investigate the entire brain network associated with RAW.
Addresses
  • Department of Sport Psychology, Institute of Sport Science, Johannes Gutenberg-University Mainz, Albert Schweitzer Straße 22, 55128, Mainz, Germany. alisa.berger@uni-mainz.de.
Autoren
DOI
10.1186/s12984-019-0636-3
eISSN
1743-0003
Externe Identifier
  • PubMed Identifier: 31882008
  • PubMed Central ID: PMC6935063
Open access
true
ISSN
1743-0003
Ausgabe der Veröffentlichung
1
Zeitschrift
Journal of neuroengineering and rehabilitation
Schlüsselwörter
  • Brain
  • Humans
  • Gait Disorders, Neurologic
  • Gait
  • Exercise Therapy
  • Walking
  • Brain Mapping
  • Self-Help Devices
  • Robotics
  • Adult
  • Female
  • Male
Sprache
eng
Medium
Electronic
Online publication date
2019
Open access status
Open Access
Paginierung
161
Datum der Veröffentlichung
2019
Status
Published
Publisher licence
CC BY
Datum der Datenerfassung
2019
Titel
Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people.
Sub types
  • research-article
  • Journal Article
Ausgabe der Zeitschrift
16

Files

https://jneuroengrehab.biomedcentral.com/track/pdf/10.1186/s12984-019-0636-3 https://europepmc.org/articles/PMC6935063?pdf=render

Datenquelle: Europe PubMed Central

Abstract
BACKGROUND: Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) proved to be a promising treatment for restoring and improving the ability to walk. Due to heterogenuous study designs and fragmentary knowlegde about the neural correlates associated with RAGT and the relation to motor recovery, guidelines for an individually optimized therapy can hardly be derived. To optimize robotic rehabilitation, it is crucial to understand how robotic assistance affect locomotor control and its underlying brain activity. Thus, this study aimed to investigate the effects of robotic assistance (RA) during treadmill walking (TW) on cortical activity and the relationship between RA-related changes of cortical activity and biomechanical gait characteristics. METHODS: Twelve healthy, right-handed volunteers (9 females; M = 25 ± 4 years) performed unassisted walking (UAW) and robot-assisted walking (RAW) trials on a treadmill, at 2.8 km/h, in a randomized, within-subject design. Ground reaction forces (GRFs) provided information regarding the individual gait patterns, while brain activity was examined by measuring cerebral hemodynamic changes in brain regions associated with the cortical locomotor network, including the sensorimotor cortex (SMC), premotor cortex (PMC) and supplementary motor area (SMA), using functional near-infrared spectroscopy (fNIRS). RESULTS: A statistically significant increase in brain activity was observed in the SMC compared with the PMC and SMA (p < 0.05), and a classical double bump in the vertical GRF was observed during both UAW and RAW throughout the stance phase. However, intraindividual gait variability increased significantly with RA and was correlated with increased brain activity in the SMC (p = 0.05; r = 0.57). CONCLUSIONS: On the one hand, robotic guidance could generate sensory feedback that promotes active participation, leading to increased gait variability and somatosensory brain activity. On the other hand, changes in brain activity and biomechanical gait characteristics may also be due to the sensory feedback of the robot, which disrupts the cortical network of automated walking in healthy individuals. More comprehensive neurophysiological studies both in laboratory and in clinical settings are necessary to investigate the entire brain network associated with RAW.
Date of acceptance
2019
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/31882008
DOI
10.1186/s12984-019-0636-3
eISSN
1743-0003
Externe Identifier
  • PubMed Central ID: PMC6935063
Ausgabe der Veröffentlichung
1
Zeitschrift
J Neuroeng Rehabil
Schlüsselwörter
  • Brain activity
  • Functional near-infrared spectroscopy
  • GRF
  • Gait variability
  • Neuroimaging
  • Neurorehabilitation
  • RAGT
  • Robotic rehabilitation
  • Walking
  • fNIRS
  • Adult
  • Brain
  • Brain Mapping
  • Exercise Therapy
  • Female
  • Gait
  • Gait Disorders, Neurologic
  • Humans
  • Male
  • Robotics
  • Self-Help Devices
  • Walking
Sprache
eng
Country
England
Paginierung
161
PII
10.1186/s12984-019-0636-3
Datum der Veröffentlichung
2019
Status
Published online
Datum, an dem der Datensatz öffentlich gemacht wurde
2020
Titel
Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
16

Datenquelle: PubMed

Abstract
BACKGROUND Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) proved to be a promising treatment for restoring and improving the ability to walk. Due to heterogenuous study designs and fragmentary knowlegde about the neural correlates associated with RAGT and the relation to motor recovery, guidelines for an individually optimized therapy can hardly be derived. To optimize robotic rehabilitation, it is crucial to understand how robotic assistance affect locomotor control and its underlying brain activity. Thus, this study aimed to investigate the effects of robotic assistance (RA) during treadmill walking (TW) on cortical activity and the relationship between RA-related changes of cortical activity and biomechanical gait characteristics. METHODS Twelve healthy, right-handed volunteers (9 females; M = 25 $\pm$ 4 years) performed unassisted walking (UAW) and robot-assisted walking (RAW) trials on a treadmill, at 2.8 km/h, in a randomized, within-subject design. Ground reaction forces (GRFs) provided information regarding the individual gait patterns, while brain activity was examined by measuring cerebral hemodynamic changes in brain regions associated with the cortical locomotor network, including the sensorimotor cortex (SMC), premotor cortex (PMC) and supplementary motor area (SMA), using functional near-infrared spectroscopy (fNIRS). RESULTS A statistically significant increase in brain activity was observed in the SMC compared with the PMC and SMA (p \textless 0.05), and a classical double bump in the vertical GRF was observed during both UAW and RAW throughout the stance phase. However, intraindividual gait variability increased significantly with RA and was correlated with increased brain activity in the SMC (p = 0.05; r = 0.57). CONCLUSIONS On the one hand, robotic guidance could generate sensory feedback that promotes active participation, leading to increased gait variability and somatosensory brain activity. On the other hand, changes in brain activity and biomechanical gait characteristics may also be due to the sensory feedback of the robot, which disrupts the cortical network of automated walking in healthy individuals. More comprehensive neurophysiological studies both in laboratory and in clinical settings are necessary to investigate the entire brain network associated with RAW.
Autoren
DOI
10.1186/s12984-019-0636-3
Zeitschrift
Journal of neuroengineering and rehabilitation
Notes
file: http://www.ncbi.nlm.nih.gov/pubmed/31882008 file: http://www.ncbi.nlm.nih.gov/pubmed/31882008
Artikelnummer
1
Paginierung
161 - 161
Datum der Veröffentlichung
2019
Datum der Datenerfassung
2021
Titel
Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people
Sub types
  • article
Ausgabe der Zeitschrift
16

Datenquelle: Manual

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