Cargando…

Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task

BACKGROUND: Experimental designs using surrogate gait-like movements, such as in functional magnetic resonance imaging (MRI), cannot fully capture the cortical activation associated with overground gait. Overground gait in a robotic exoskeleton may be an ideal tool to generate controlled sensorimoto...

Descripción completa

Detalles Bibliográficos
Autores principales: Peters, Sue, Lim, Shannon B., Louie, Dennis R., Yang, Chieh-ling, Eng, Janice J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418323/
https://www.ncbi.nlm.nih.gov/pubmed/32778109
http://dx.doi.org/10.1186/s12984-020-00739-6
_version_ 1783569671091388416
author Peters, Sue
Lim, Shannon B.
Louie, Dennis R.
Yang, Chieh-ling
Eng, Janice J.
author_facet Peters, Sue
Lim, Shannon B.
Louie, Dennis R.
Yang, Chieh-ling
Eng, Janice J.
author_sort Peters, Sue
collection PubMed
description BACKGROUND: Experimental designs using surrogate gait-like movements, such as in functional magnetic resonance imaging (MRI), cannot fully capture the cortical activation associated with overground gait. Overground gait in a robotic exoskeleton may be an ideal tool to generate controlled sensorimotor stimulation of gait conditions like ‘active’ (i.e. user moves with the device) and ‘passive’ (i.e. user is moved by the device) gait. To truly understand these neural mechanisms, functional near-infrared spectroscopy (fNIRS) would yield greater ecological validity. Thus, the aim of this experiment was to use fNIRS to delineate brain activation differences between ‘Active’ and ‘Passive’ overground gait in a robotic exoskeleton. METHODS: Fourteen healthy adults performed 10 walking trials in a robotic exoskeleton for Passive and Active conditions, with fNIRS over bilateral frontal and parietal lobes, and electromyography (EMG) over bilateral thigh muscles. Digitization of optode locations and individual T1 MRI scans were used to demarcate the brain regions fNIRS recorded from. RESULTS: Increased oxyhemoglobin in the right frontal cortex was found for Passive compared with Active conditions. For deoxyhemoglobin, increased activation during Passive was found in the left frontal cortex and bilateral parietal cortices compared with Active; one channel in the left parietal cortex decreased during Active when compared with Passive. Normalized EMG mean amplitude was higher in the Active compared with Passive conditions for all four muscles (p ≤ 0.044), confirming participants produced the conditions asked of them. CONCLUSIONS: The parietal cortex is active during passive robotic exoskeleton gait, a novel finding as research to date has not recorded posterior to the primary somatosensory cortex. Increased activation of the parietal cortex may be related to the planning of limb coordination while maintaining postural control. Future neurorehabilitation research could use fNIRS to examine whether exoskeletal gait training can increase gait-related brain activation with individuals unable to walk independently.
format Online
Article
Text
id pubmed-7418323
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74183232020-08-12 Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task Peters, Sue Lim, Shannon B. Louie, Dennis R. Yang, Chieh-ling Eng, Janice J. J Neuroeng Rehabil Research BACKGROUND: Experimental designs using surrogate gait-like movements, such as in functional magnetic resonance imaging (MRI), cannot fully capture the cortical activation associated with overground gait. Overground gait in a robotic exoskeleton may be an ideal tool to generate controlled sensorimotor stimulation of gait conditions like ‘active’ (i.e. user moves with the device) and ‘passive’ (i.e. user is moved by the device) gait. To truly understand these neural mechanisms, functional near-infrared spectroscopy (fNIRS) would yield greater ecological validity. Thus, the aim of this experiment was to use fNIRS to delineate brain activation differences between ‘Active’ and ‘Passive’ overground gait in a robotic exoskeleton. METHODS: Fourteen healthy adults performed 10 walking trials in a robotic exoskeleton for Passive and Active conditions, with fNIRS over bilateral frontal and parietal lobes, and electromyography (EMG) over bilateral thigh muscles. Digitization of optode locations and individual T1 MRI scans were used to demarcate the brain regions fNIRS recorded from. RESULTS: Increased oxyhemoglobin in the right frontal cortex was found for Passive compared with Active conditions. For deoxyhemoglobin, increased activation during Passive was found in the left frontal cortex and bilateral parietal cortices compared with Active; one channel in the left parietal cortex decreased during Active when compared with Passive. Normalized EMG mean amplitude was higher in the Active compared with Passive conditions for all four muscles (p ≤ 0.044), confirming participants produced the conditions asked of them. CONCLUSIONS: The parietal cortex is active during passive robotic exoskeleton gait, a novel finding as research to date has not recorded posterior to the primary somatosensory cortex. Increased activation of the parietal cortex may be related to the planning of limb coordination while maintaining postural control. Future neurorehabilitation research could use fNIRS to examine whether exoskeletal gait training can increase gait-related brain activation with individuals unable to walk independently. BioMed Central 2020-08-10 /pmc/articles/PMC7418323/ /pubmed/32778109 http://dx.doi.org/10.1186/s12984-020-00739-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Peters, Sue
Lim, Shannon B.
Louie, Dennis R.
Yang, Chieh-ling
Eng, Janice J.
Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
title Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
title_full Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
title_fullStr Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
title_full_unstemmed Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
title_short Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
title_sort passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418323/
https://www.ncbi.nlm.nih.gov/pubmed/32778109
http://dx.doi.org/10.1186/s12984-020-00739-6
work_keys_str_mv AT peterssue passiveyetnotinactiveroboticexoskeletonwalkingincreasescorticalactivationdependentontask
AT limshannonb passiveyetnotinactiveroboticexoskeletonwalkingincreasescorticalactivationdependentontask
AT louiedennisr passiveyetnotinactiveroboticexoskeletonwalkingincreasescorticalactivationdependentontask
AT yangchiehling passiveyetnotinactiveroboticexoskeletonwalkingincreasescorticalactivationdependentontask
AT engjanicej passiveyetnotinactiveroboticexoskeletonwalkingincreasescorticalactivationdependentontask