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 journalArticle

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

Fields of Expertise

  • Human- & Biotechnology

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