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High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task
In this report we present a mobile brain/body imaging (MoBI) dataset that allows study of source-resolved cortical dynamics supporting coordinated gait movements in a rhythmic auditory cueing paradigm. Use of an auditory pacing stimulus stream has been recommended to identify deficits and treat gait...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797727/ https://www.ncbi.nlm.nih.gov/pubmed/31624252 http://dx.doi.org/10.1038/s41597-019-0223-2 |
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author | Wagner, Johanna Martinez-Cancino, Ramon Delorme, Arnaud Makeig, Scott Solis-Escalante, Teodoro Neuper, Christa Mueller-Putz, Gernot |
author_facet | Wagner, Johanna Martinez-Cancino, Ramon Delorme, Arnaud Makeig, Scott Solis-Escalante, Teodoro Neuper, Christa Mueller-Putz, Gernot |
author_sort | Wagner, Johanna |
collection | PubMed |
description | In this report we present a mobile brain/body imaging (MoBI) dataset that allows study of source-resolved cortical dynamics supporting coordinated gait movements in a rhythmic auditory cueing paradigm. Use of an auditory pacing stimulus stream has been recommended to identify deficits and treat gait impairments in neurologic populations. Here, the rhythmic cueing paradigm required healthy young participants to walk on a treadmill (constant speed) while attempting to maintain step synchrony with an auditory pacing stream and to adapt their step length and rate to unanticipated shifts in tempo of the pacing stimuli (e.g., sudden shifts to a faster or slower tempo). High-density electroencephalography (EEG, 108 channels), surface electromyography (EMG, bilateral tibialis anterior), pressure sensors on the heel (to register timing of heel strikes), and goniometers (knee, hip, and ankle joint angles) were concurrently recorded in 20 participants. The data is provided in the Brain Imaging Data Structure (BIDS) format to promote data sharing and reuse, and allow the inclusion of the data into fully automated data analysis workflows. |
format | Online Article Text |
id | pubmed-6797727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67977272019-10-21 High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task Wagner, Johanna Martinez-Cancino, Ramon Delorme, Arnaud Makeig, Scott Solis-Escalante, Teodoro Neuper, Christa Mueller-Putz, Gernot Sci Data Data Descriptor In this report we present a mobile brain/body imaging (MoBI) dataset that allows study of source-resolved cortical dynamics supporting coordinated gait movements in a rhythmic auditory cueing paradigm. Use of an auditory pacing stimulus stream has been recommended to identify deficits and treat gait impairments in neurologic populations. Here, the rhythmic cueing paradigm required healthy young participants to walk on a treadmill (constant speed) while attempting to maintain step synchrony with an auditory pacing stream and to adapt their step length and rate to unanticipated shifts in tempo of the pacing stimuli (e.g., sudden shifts to a faster or slower tempo). High-density electroencephalography (EEG, 108 channels), surface electromyography (EMG, bilateral tibialis anterior), pressure sensors on the heel (to register timing of heel strikes), and goniometers (knee, hip, and ankle joint angles) were concurrently recorded in 20 participants. The data is provided in the Brain Imaging Data Structure (BIDS) format to promote data sharing and reuse, and allow the inclusion of the data into fully automated data analysis workflows. Nature Publishing Group UK 2019-10-17 /pmc/articles/PMC6797727/ /pubmed/31624252 http://dx.doi.org/10.1038/s41597-019-0223-2 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article. |
spellingShingle | Data Descriptor Wagner, Johanna Martinez-Cancino, Ramon Delorme, Arnaud Makeig, Scott Solis-Escalante, Teodoro Neuper, Christa Mueller-Putz, Gernot High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
title | High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
title_full | High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
title_fullStr | High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
title_full_unstemmed | High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
title_short | High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
title_sort | high-density eeg mobile brain/body imaging data recorded during a challenging auditory gait pacing task |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797727/ https://www.ncbi.nlm.nih.gov/pubmed/31624252 http://dx.doi.org/10.1038/s41597-019-0223-2 |
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