Multisubject, multimodal face processing

OpenNeuro/NEMAR Dataset:ds000117 #Files:1671 Dataset size:84.8 GB #MEG Channels:306 #EEG Channels:70 #EOG Channels:2 #ECG Channels:1 #Misc Channels:12 #Trigger Channels:3

BIDS Version: 1.0.2 HED Version: Version: 1.0.5

On Brain life: True Published Date: 2018-03-30 13:14:28 Tasks: facerecognition

Available Modalities

.bval, .bvec, .fdt, .fif, .nii, .pos, .set

#Sessions: 2 #Scans/session: 29 #Participants: 17 Ages (yrs): 23 - 31 License: CC0

Dataset DOI: 10.18112/openneuro.ds000117.v1.0.5

Uploaded by Richard Henson on 2018-03-30 13:14:28

Wakeman, DG, Henson, RN

This work was supported by the UK Medical Research Council (SUAG/010 RG91365) and Elekta Ltd. We would also like to acknowledge the contribution of Andre van der Kouwe and the A.A. Martinos Center for Biomedical Imaging (MGH) for providing the Multi-Echo FLASH sequences used in this work.

How to Acknowledge
Cite this paper: and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds000117'

  • UK Medical Research Council (SUAG/010 RG91365), Elekta Ltd.
  • References and Links
  • Ethics Approvals


    This dataset was obtained from the OpenNeuro project ( Accession #: ds000117

    The same dataset is also available here:, but in a non-BIDS format (which may be easier to download by subject rather than by modality)

    Note that it is a subset of the data available on OpenfMRI (; Accession #: ds000117).

    Description: Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face processing

    Please cite the following reference if you use these data:

     Wakeman, D.G. & Henson, R.N. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci. Data 2:150001 doi: 10.1038/sdata.2015.1

    The data have been used in several publications including, for example:

    Henson, R.N., Abdulrahman, H., Flandin, G. & Litvak, V. (2019). Multimodal integration of M/EEG and f/MRI data in SPM12. Frontiers in Neuroscience, Methods, 13, 300.

    Henson, R.N., Wakeman, D.G., Litvak, V. & Friston, K.J. (2011). A Parametric Empirical Bayesian framework for the EEG/MEG inverse problem: generative models for multisubject and multimodal integration. Frontiers in Human Neuroscience, 5, 76, 1-16.
    Chapter 42 of the SPM12 manual (

    (see for full list), as well as the BioMag2010 data competition and the Kaggle competition:



    Unlike in v1-v3 of this dataset, the first two (dummy) volumes have now been removed (as stated in *.json), so event onset times correctly refer to t=0 at start of third volume

    Note that, owing to scanner error, Subject 10 only has 170 volumes in last run (Run 9) (hence the BIDS warning of some onsets in events.tsv file being later than the data)


    Three anatomical fiducials were digitized for aligning the MEG with the MRI: the nasion (lowest depression between the eyes) and the left and right ears (lowest depression between the tragus and the helix, above the tragus). This procedure is illustrated here:\_Coordinate\_System\_.28SCS\_.2F\_CTF.29 and in task-facerecognition_fidinfo.pdf

    The following triggers are included in the .fif files and are also used in the “trigger” column of the meg and bold events files:

    Trigger Label Simplified Label

    5 Initial Famous Face FAMOUS 6 Immediate Repeat Famous Face FAMOUS 7 Delayed Repeat Famous Face FAMOUS 13 Initial Unfamiliar Face UNFAMILIAR 14 Immediate Repeat Unfamiliar Face UNFAMILIAR 15 Delayed Repeat Unfamiliar Face UNFAMILIAR 17 Initial Scrambled Face SCRAMBLED 18 Immediate Repeat Scrambled Face SCRAMBLED 19 Delayed Repeat Scrambled Face SCRAMBLED


    The .bmp files correspond to those described in the text. There are 6 additional images in this directory, which were used in the practice experiment to familiarize participants with the task (hence some more BIDS validator warnings)


    The .bmp files correspond to those described in the text.


    Defacing of MPRAGE T1 images was performed by the submitter. A subset of subjects have given consent for non-defaced versions to be shared - in which case, please contact

    Quality Control

    Mriqc was run on the dataset. Results are located in derivatives/mriqc. Learn more about it here:

    Known Issues


    Relationship of Subject Numbering relative to other versions of Dataset

    There are multiple versions of the dataset available on the web (see notes above), and these entailed a renumbering of the subjects for various reasons. Here are all the versions and how to match subjects between them (plus some rationale and history for different versions):

    1. Original Paper (N=19): Wakeman & Henson (2015): doi:10.1038/sdata.2015.1 Number refers to order that tested (and some, eg 4, 7, 13 etc were excluded for not completing both MRI and MEG sessions)

    2. openfMRI, renumbered from paper:\_R0.1.1/uncompressed/ Numbers 1-19 just made contiguous

    3. FTP subset of N=16: ftp:
      This set was used for SPM Courses Designed to illustrate multimodal integration, so wanted good MRI+MEG+EEG data for all subjects Removed original subject_01 and subject_06 because bad EEG data; subject_19 because poor EEG and fMRI data (And renumbered subject_14 for some reason).

    4. Current OpenNeuro subset N=16 used for (BIDS): OpenNeuro was rebranding of openfMRI, and enforced BIDS format Since this version designed to illustrate multi-modal BIDS, kept same numbering as FTP

    W&H2015 openfMRI FTP openNeuro ======== ====== === ======= subject_01 sub001 subject_02 sub002 Sub01 sub-01 subject_03 sub003 Sub02 sub-02 subject_05 sub004 Sub03 sub-03 subject_06 sub005 subject_08 sub006 Sub05 sub-05 subject_09 sub007 Sub06 sub-06 subject_10 sub008 Sub07 sub-07 subject_11 sub009 Sub08 sub-08 subject_12 sub010 Sub09 sub-09 subject_14 sub011 Sub04 sub-04 subject_15 sub012 Sub10 sub-10 subject_16 sub013 Sub11 sub-11 subject_17 sub014 Sub12 sub-12 subject_18 sub015 Sub13 sub-13 subject_19 sub016 subject_23 sub017 Sub14 sub-14 subject_24 sub018 Sub15 sub-15 subject_25 sub019 Sub16 sub-16