Face processing EEG dataset for EEGLAB

OpenNeuro/NEMAR Dataset: ds002718 Files: 582 Dataset size: 4.3 GB
Channels: 70 EEG,2 EOG,4 Misc
Participants: 18
Event files: 18 View events summary
HED annotation: No

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README

Multi-subject, multi-modal (sMRI+EEG) neuroimaging dataset on face processing. Original data described at https://www.nature.com/articles/sdata20151 This is repackaged version of the EEG data in EEGLAB format. The data has gone through minimal preprocessing including (see wh_extracteeg_BIDS.m):

  • Ignoring fMRI and MEG data (sMRI preserved for EEG source localization)
  • Extracting EEG channels out of the MEG/EEG fif data
  • Adding fiducials
  • Renaming EOG and EKG channels
  • Extracting events from event channel
  • Removing spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19
  • Removing spurious event 24 for subject 3 run 4
  • Renaming events taking into account button assigned to each subject
  • Correcting event latencies (events have a shift of 34 ms)
  • Resampling data to 250 Hz (this is a step that is done because this dataset is used as tutorial for EEGLAB and need to be lightweight)
  • Merging run 1 to 6
  • Removing event fields urevent and duration
  • Filling up empty fields for events boundary and stim_file.
  • Saving as EEGLAB .set format

Ramon Martinez, Dung Truong, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA)


BIDS Version: v1.2.0 HED Version: 7.1.2 Version: 1.0.5

On Brainlife.org: True Published date: 2020-04-21 23:09:57

Tasks: FaceRecognition

Available modalities: EEG, MRI

Format(s): .set

Sessions: 1 Scans/session: 0 Ages (yrs): 23 - 31 License: CC0

Dataset DOI: 10.18112/openneuro.ds002718.v1.0.5

Uploaded by Dung Truong on 2020-04-21 20:15:53

Last Updated 2021-08-03 22:26:22

Authors
Daniel G. Wakeman, Richard N Henson

Acknowledgements

How to Acknowledge

Funding
  • This work was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.
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    References and Links
  • Wakeman, D., Henson, R. A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001 (2015). https://doi.org/10.1038/sdata.2015.1
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    Ethics Approvals