High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task

Johanna Wagner, Ramon Martinez-Cancino, Arnaud Delorme, Scott Makeig, Gernot Müller-Putz, Christa Neuper, Teodoro Solis-Escalante

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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.

Original languageEnglish
Article number211
Number of pages9
JournalScientific Data
Volume6
Issue number1
DOIs
Publication statusPublished - 17 Oct 2019

Fingerprint

Gait
Electroencephalography
Brain
brain
Paradigm
Imaging
Data Reuse
Goniometers
Imaging techniques
Electromyography
Exercise equipment
Pressure Sensor
Data Sharing
Synchrony
Pressure sensors
Walk
Work Flow
Data structures
Timing
Data analysis

Fields of Expertise

  • Human- & Biotechnology

Cite this

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; Müller-Putz, Gernot; Neuper, Christa; Solis-Escalante, Teodoro.

In: Scientific Data , Vol. 6, No. 1, 211, 17.10.2019.

Research output: Contribution to journalArticleResearchpeer-review

Wagner, Johanna ; Martinez-Cancino, Ramon ; Delorme, Arnaud ; Makeig, Scott ; Müller-Putz, Gernot ; Neuper, Christa ; Solis-Escalante, Teodoro. / High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task. In: Scientific Data . 2019 ; Vol. 6, No. 1.
@article{e27e7771cf3648adaac6f4cec0e6e1e1,
title = "High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task",
abstract = "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.",
author = "Johanna Wagner and Ramon Martinez-Cancino and Arnaud Delorme and Scott Makeig and Gernot M{\"u}ller-Putz and Christa Neuper and Teodoro Solis-Escalante",
year = "2019",
month = "10",
day = "17",
doi = "10.1038/s41597-019-0223-2",
language = "English",
volume = "6",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
number = "1",

}

TY - JOUR

T1 - High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task

AU - Wagner, Johanna

AU - Martinez-Cancino, Ramon

AU - Delorme, Arnaud

AU - Makeig, Scott

AU - Müller-Putz, Gernot

AU - Neuper, Christa

AU - Solis-Escalante, Teodoro

PY - 2019/10/17

Y1 - 2019/10/17

N2 - 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.

AB - 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.

U2 - 10.1038/s41597-019-0223-2

DO - 10.1038/s41597-019-0223-2

M3 - Article

VL - 6

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

IS - 1

M1 - 211

ER -