High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task - PubMed (original) (raw)
High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task
Johanna Wagner et al. Sci Data. 2019.
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.
Conflict of interest statement
The authors declare no competing interests.
Figures
Fig. 1
Experimental setup and paradigm. (a) Experimental setup. Participant walking on the treadmill with auditory pacing cues delivered through in-ear headphones. During the initial training period, treadmill speed (3–3.7 km/h) was adjusted to the most comfortable pace for each participant and thereafter remained constant. (b) Electrode layout. We recorded 108 EEG channels placed according to the 10 per cent system. Reference and ground electrode were placed on left and right mastoid. (c) Treadmill speed was adapted and fixed at a comfortable walking speed by the participant and remained fixed throughout the experiment. During each trial, participants first walked for ~10 s without auditory cues, then walked for 10–18 s while attempting to synchronize their foot falls to brief cue tones delivered at their then-prevailing step rate and phase. Thereafter, beginning at a right heel strike, a sudden (accelerated or decelerated) tempo shift occurred in the pacing cue sequence. In response, participants were instructed to adapt their step length, rate, and phase as quickly as possible, so as to again synchronize their steps with the cue tones at the new tempo. After 30–70 steps, the next trial began immediately, returning again to 10 s of uncued walking during which participants were instructed to return to their most comfortable step rate. The tempo shift always occurred relative to a right step, the first deviant tone indicating the new tempo by being early (in step-advance trials) or late (e.g., in step-delay trials). Figure adapted from,.
Fig. 2
Technical assessment of the EEG data. (a) Scalp maps showing the scalp distribution of log power differences in mu and beta power between walking and standing periods. Cool colors represent negative differences, warm colors positive differences. Over central scalp, the maps show a clear reduction in power in the mu and beta bands during walking compared to standing. (b) Log power spectra for channels Cz and Pz during standing and walking. Mu and beta power is higher during standing (red trace) compared to walking (blue trace). Envelopes show ±3 standard errors of the mean. (c) Log power spectra for channels I1 and I2 during standing and walking. Power, especially at higher frequencies, is higher during walking (blue trace) compared to standing (red trace).
Fig. 3
Technical assessment of the EMG and goniometric data. (a) Time course of EMG recorded from tibialis anterior muscle of the right leg. (b) Time course of right hip angle (c) Time course of right knee angle. (d) Time course of right ankle angle. EMG and goniometer data are time warped over one gait cycle. Envelopes show ±3 standard errors of the mean.