Audiocue walking study

OpenNeuro/NEMAR Dataset:ds001971 #Files:1917 Dataset size:32 GB #EEG Channels:108 #EMG Channels:4 #Misc Channels:7

BIDS Version: v1.2.0 HED Version: Version: 1.1.1

On Brain life: True Published Date: 2019-06-07 19:41:04 Tasks: AudioCueWalkingStudy

Available Modalities
channels, coordsystem, eeg, electrodes, events

Format(s)
.fdt, .set

#Sessions: 1 #Scans/session: 19 #Participants: 0 Ages (yrs): N/A License: Creative commons

Dataset DOI: 10.18112/openneuro.ds001971.v1.1.1

Uploaded by Johanna Wagner on 2019-06-06 22:03:30

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

Acknowledgements

How to Acknowledge

Funding
  • Future Labs Reloaded 2013 of the Faculty of Computer Science at the Graz University of Technology, Austria, OeAD (Austrian Agency for International Mobility).
  • Marietta Blau Grant to J.W., the BMWF (Austrian Federal Ministry of Science and Research).
  • Gift to University of California San Diego by the Swartz Foundation (Old Field, NY).
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    References and Links
  • http://www.jneurosci.org/content/36/7/2212.short
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    Ethics Approvals
    README

    This mobile brain body imaging (MoBI) gait adaptation experiment contains 18 subjects. Participants were walking on a treadmill at a constant speed and were required to step in time to an auditory tone sequence and adapt their step length and rate to occasional shifts in tempo of the pacing stimulus (i.e., following shifts to a faster or slower tempo). The scientific article (see Reference) contains all methodological details

    • Johanna Wagner (June 6, 2019)