Mobile Electroencephalography for Studying Neural Control of Human Locomotion
Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become compromised due to aging, neurological disorder, o...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a371405b49034875b96aa3fe748d99c9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:a371405b49034875b96aa3fe748d99c9 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:a371405b49034875b96aa3fe748d99c92021-11-10T06:33:23ZMobile Electroencephalography for Studying Neural Control of Human Locomotion1662-516110.3389/fnhum.2021.749017https://doaj.org/article/a371405b49034875b96aa3fe748d99c92021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnhum.2021.749017/fullhttps://doaj.org/toc/1662-5161Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become compromised due to aging, neurological disorder, or disease. Knowledge gained from studies examining human electrical brain dynamics during gait can also lay foundations for developing locomotor neurotechnologies for rehabilitation or human performance. Technical barriers have largely prohibited neuroimaging during gait, but the portability and precise temporal resolution of non-invasive electroencephalography (EEG) have expanded human neuromotor research into increasingly dynamic tasks. In this narrative mini-review, we provide a (1) brief introduction and overview of modern neuroimaging technologies and then identify considerations for (2) mobile EEG hardware, (3) and data processing, (4) including technical challenges and possible solutions. Finally, we summarize (5) knowledge gained from human locomotor control studies that have used mobile EEG, and (6) discuss future directions for real-world neuroimaging research.Seongmi SongAndrew D. NordinAndrew D. NordinAndrew D. NordinFrontiers Media S.A.articleEEG signal processingmotor neuroscienceneuroimaginglocomotionmobile EEGelectroencephalography (EEG)Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Human Neuroscience, Vol 15 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
EEG signal processing motor neuroscience neuroimaging locomotion mobile EEG electroencephalography (EEG) Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
spellingShingle |
EEG signal processing motor neuroscience neuroimaging locomotion mobile EEG electroencephalography (EEG) Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Seongmi Song Andrew D. Nordin Andrew D. Nordin Andrew D. Nordin Mobile Electroencephalography for Studying Neural Control of Human Locomotion |
description |
Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become compromised due to aging, neurological disorder, or disease. Knowledge gained from studies examining human electrical brain dynamics during gait can also lay foundations for developing locomotor neurotechnologies for rehabilitation or human performance. Technical barriers have largely prohibited neuroimaging during gait, but the portability and precise temporal resolution of non-invasive electroencephalography (EEG) have expanded human neuromotor research into increasingly dynamic tasks. In this narrative mini-review, we provide a (1) brief introduction and overview of modern neuroimaging technologies and then identify considerations for (2) mobile EEG hardware, (3) and data processing, (4) including technical challenges and possible solutions. Finally, we summarize (5) knowledge gained from human locomotor control studies that have used mobile EEG, and (6) discuss future directions for real-world neuroimaging research. |
format |
article |
author |
Seongmi Song Andrew D. Nordin Andrew D. Nordin Andrew D. Nordin |
author_facet |
Seongmi Song Andrew D. Nordin Andrew D. Nordin Andrew D. Nordin |
author_sort |
Seongmi Song |
title |
Mobile Electroencephalography for Studying Neural Control of Human Locomotion |
title_short |
Mobile Electroencephalography for Studying Neural Control of Human Locomotion |
title_full |
Mobile Electroencephalography for Studying Neural Control of Human Locomotion |
title_fullStr |
Mobile Electroencephalography for Studying Neural Control of Human Locomotion |
title_full_unstemmed |
Mobile Electroencephalography for Studying Neural Control of Human Locomotion |
title_sort |
mobile electroencephalography for studying neural control of human locomotion |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/a371405b49034875b96aa3fe748d99c9 |
work_keys_str_mv |
AT seongmisong mobileelectroencephalographyforstudyingneuralcontrolofhumanlocomotion AT andrewdnordin mobileelectroencephalographyforstudyingneuralcontrolofhumanlocomotion AT andrewdnordin mobileelectroencephalographyforstudyingneuralcontrolofhumanlocomotion AT andrewdnordin mobileelectroencephalographyforstudyingneuralcontrolofhumanlocomotion |
_version_ |
1718440495864086528 |