Multisubject, multimodal face processing

uploaded by Richard Henson on 2018-03-30 - over 3 years ago
last modified on 2020-12-18 - 9 months ago
authored by Wakeman, DG, Henson, RN
3119035348
We found 4 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-02/ses-mri/fmap/sub-02_ses-mri_magnitude1.nii

The most common resolution is: 3.00mm x 3.00mm x 3.75mm, This file has the resolution: 3.00mm x 3.00mm x 3.90mm.

/sub-02/ses-mri/fmap/sub-02_ses-mri_magnitude2.nii

The most common resolution is: 3.00mm x 3.00mm x 3.75mm, This file has the resolution: 3.00mm x 3.00mm x 3.90mm.

/sub-02/ses-mri/fmap/sub-02_ses-mri_phasediff.nii

The most common resolution is: 3.00mm x 3.00mm x 3.75mm, This file has the resolution: 3.00mm x 3.00mm x 3.90mm.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-01_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-02_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-03_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-04_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-05_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-06_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-07_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

and 80 more files

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

and 36 more files

/participants.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: age, sex, first_ses not defined, please define in: /participants.json

/sub-01/ses-meg/beh/sub-01_ses-meg_task-facerecognition_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: button_press not defined, please define in: /events.json, /task-facerecognition_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/beh/sub-01_ses-meg_events.json,/sub-01/ses-meg/beh/sub-01_ses-meg_task-facerecognition_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-01_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-01_events.json,/task-facerecognition_run-01_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-01_events.json,/sub-01/sub-01_task-facerecognition_run-01_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-01_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-01_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-01_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-01_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-02_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-02_events.json,/task-facerecognition_run-02_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-02_events.json,/sub-01/sub-01_task-facerecognition_run-02_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-02_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-02_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-02_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-02_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-03_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-03_events.json,/task-facerecognition_run-03_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-03_events.json,/sub-01/sub-01_task-facerecognition_run-03_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-03_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-03_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-03_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-03_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-04_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-04_events.json,/task-facerecognition_run-04_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-04_events.json,/sub-01/sub-01_task-facerecognition_run-04_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-04_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-04_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-04_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-04_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-05_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-05_events.json,/task-facerecognition_run-05_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-05_events.json,/sub-01/sub-01_task-facerecognition_run-05_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-05_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-05_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-05_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-05_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-06_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-06_events.json,/task-facerecognition_run-06_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-06_events.json,/sub-01/sub-01_task-facerecognition_run-06_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-06_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-06_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-06_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-06_events.json

/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: circle_duration, stim_type, trigger, button_pushed not defined, please define in: /events.json, /task-facerecognition_events.json,/run-01_events.json,/task-facerecognition_run-01_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-01_events.json,/sub-01/sub-01_task-facerecognition_run-01_events.json,/sub-01/ses-mri/sub-01_ses-mri_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/sub-01_ses-mri_run-01_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_run-01_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_run-01_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_events.json

/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-02_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: circle_duration, stim_type, trigger, button_pushed not defined, please define in: /events.json, /task-facerecognition_events.json,/run-02_events.json,/task-facerecognition_run-02_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-02_events.json,/sub-01/sub-01_task-facerecognition_run-02_events.json,/sub-01/ses-mri/sub-01_ses-mri_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/sub-01_ses-mri_run-02_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_run-02_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_run-02_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-02_events.json

and 247 more files

/sub-10/ses-mri/func/sub-10_ses-mri_task-facerecognition_run-09_events.tsv

The onset of the last event is after the total duration of the corresponding scan. This design is suspiciously long.


OpenNeuro Accession Number: ds000117
Files: 1671, Size: 84.82GB, Subjects: 16, Sessions: 2
Available Tasks: facerecognition
Available Modalities: MRI, MEG

README

This dataset was obtained from the OpenNeuro project (https://www.openneuro.org). Accession #: ds000117

The same dataset is also available here: ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/, 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 (http://www.openfmri.org; 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 (http://www.fil.ion.ucl.ac.uk/spm/doc/manual.pdf)

(see ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/Publications for full list), as well as the BioMag2010 data competition and the Kaggle competition: https://www.kaggle.com/c/decoding-the-human-brain)

==================================================================================

func/ ----- 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)

meg/ ---- 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: http://neuroimage.usc.edu/brainstorm/CoordinateSystems#Subject_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

stimuli/meg/ ------------ 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)

stimuli/mri/ ------------ The .bmp files correspond to those described in the text.

Defacing -------- 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 rik.henson@mrc-cbu.cam.ac.uk.

Quality Control --------------- Mriqc was run on the dataset. Results are located in derivatives/mriqc. Learn more about it here: https://mriqc.readthedocs.io/en/latest/

Known Issues ------------ N/A

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: http://openfmri.org/s3-browser/?prefix=ds000117/ds000117_R0.1.1/uncompressed/ Numbers 1-19 just made contiguous

  3. FTP subset of N=16: ftp: ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/
    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): https://openneuro.org/datasets/ds000117 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

Authors

  • Wakeman, DG
  • Henson, RN

Dataset DOI

10.18112/openneuro.ds000117.v1.0.4

License

CC0

Acknowledgements

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: https://www.ncbi.nlm.nih.gov/pubmed/25977808 and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds000117'

Funding

  • UK Medical Research Council (SUAG/010 RG91365), Elekta Ltd.

References and Links

Ethics Approvals

How To Cite

Copy
Wakeman, DG and Henson, RN (2020). Multisubject, multimodal face processing. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000117.v1.0.4
More citation info

Multisubject, multimodal face processing

uploaded by Richard Henson on 2018-03-30 - over 3 years ago
last modified on 2020-12-18 - 9 months ago
authored by Wakeman, DG, Henson, RN
3119035348

OpenNeuro Accession Number: ds000117
Files: 1671, Size: 84.82GB, Subjects: 16, Sessions: 2
Available Tasks: facerecognition
Available Modalities: MRI, MEG

README

This dataset was obtained from the OpenNeuro project (https://www.openneuro.org). Accession #: ds000117

The same dataset is also available here: ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/, 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 (http://www.openfmri.org; 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 (http://www.fil.ion.ucl.ac.uk/spm/doc/manual.pdf)

(see ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/Publications for full list), as well as the BioMag2010 data competition and the Kaggle competition: https://www.kaggle.com/c/decoding-the-human-brain)

==================================================================================

func/ ----- 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)

meg/ ---- 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: http://neuroimage.usc.edu/brainstorm/CoordinateSystems#Subject_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

stimuli/meg/ ------------ 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)

stimuli/mri/ ------------ The .bmp files correspond to those described in the text.

Defacing -------- 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 rik.henson@mrc-cbu.cam.ac.uk.

Quality Control --------------- Mriqc was run on the dataset. Results are located in derivatives/mriqc. Learn more about it here: https://mriqc.readthedocs.io/en/latest/

Known Issues ------------ N/A

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: http://openfmri.org/s3-browser/?prefix=ds000117/ds000117_R0.1.1/uncompressed/ Numbers 1-19 just made contiguous

  3. FTP subset of N=16: ftp: ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/
    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): https://openneuro.org/datasets/ds000117 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

Authors

  • Wakeman, DG
  • Henson, RN

Dataset DOI

10.18112/openneuro.ds000117.v1.0.4

License

CC0

Acknowledgements

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: https://www.ncbi.nlm.nih.gov/pubmed/25977808 and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds000117'

Funding

  • UK Medical Research Council (SUAG/010 RG91365), Elekta Ltd.

References and Links

Ethics Approvals

How To Cite

Copy
Wakeman, DG and Henson, RN (2020). Multisubject, multimodal face processing. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000117.v1.0.4
More citation info

Dataset File Tree

Git Hash: 8999bdc 

BIDS Validation

We found 4 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-02/ses-mri/fmap/sub-02_ses-mri_magnitude1.nii

The most common resolution is: 3.00mm x 3.00mm x 3.75mm, This file has the resolution: 3.00mm x 3.00mm x 3.90mm.

/sub-02/ses-mri/fmap/sub-02_ses-mri_magnitude2.nii

The most common resolution is: 3.00mm x 3.00mm x 3.75mm, This file has the resolution: 3.00mm x 3.00mm x 3.90mm.

/sub-02/ses-mri/fmap/sub-02_ses-mri_phasediff.nii

The most common resolution is: 3.00mm x 3.00mm x 3.75mm, This file has the resolution: 3.00mm x 3.00mm x 3.90mm.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-01_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-02_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-03_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-04_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-05_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-06_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

/sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-07_bold.nii.gz

The most common resolution is: 3.00mm x 3.00mm x 3.75mm x 2.00s, This file has the resolution: 3.00mm x 3.00mm x 3.90mm x 2.00s.

and 80 more files

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

and 36 more files

/participants.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: age, sex, first_ses not defined, please define in: /participants.json

/sub-01/ses-meg/beh/sub-01_ses-meg_task-facerecognition_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: button_press not defined, please define in: /events.json, /task-facerecognition_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/beh/sub-01_ses-meg_events.json,/sub-01/ses-meg/beh/sub-01_ses-meg_task-facerecognition_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-01_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-01_events.json,/task-facerecognition_run-01_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-01_events.json,/sub-01/sub-01_task-facerecognition_run-01_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-01_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-01_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-01_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-01_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-02_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-02_events.json,/task-facerecognition_run-02_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-02_events.json,/sub-01/sub-01_task-facerecognition_run-02_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-02_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-02_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-02_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-02_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-03_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-03_events.json,/task-facerecognition_run-03_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-03_events.json,/sub-01/sub-01_task-facerecognition_run-03_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-03_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-03_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-03_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-03_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-04_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-04_events.json,/task-facerecognition_run-04_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-04_events.json,/sub-01/sub-01_task-facerecognition_run-04_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-04_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-04_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-04_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-04_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-05_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-05_events.json,/task-facerecognition_run-05_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-05_events.json,/sub-01/sub-01_task-facerecognition_run-05_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-05_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-05_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-05_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-05_events.json

/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-06_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: onset_sample, stim_type, trigger not defined, please define in: /events.json, /task-facerecognition_events.json,/run-06_events.json,/task-facerecognition_run-06_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-06_events.json,/sub-01/sub-01_task-facerecognition_run-06_events.json,/sub-01/ses-meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/sub-01_ses-meg_run-06_events.json,/sub-01/ses-meg/sub-01_ses-meg_task-facerecognition_run-06_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_run-06_events.json,/sub-01/ses-meg/meg/sub-01_ses-meg_task-facerecognition_run-06_events.json

/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: circle_duration, stim_type, trigger, button_pushed not defined, please define in: /events.json, /task-facerecognition_events.json,/run-01_events.json,/task-facerecognition_run-01_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-01_events.json,/sub-01/sub-01_task-facerecognition_run-01_events.json,/sub-01/ses-mri/sub-01_ses-mri_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/sub-01_ses-mri_run-01_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_run-01_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_run-01_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_events.json

/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-02_events.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: circle_duration, stim_type, trigger, button_pushed not defined, please define in: /events.json, /task-facerecognition_events.json,/run-02_events.json,/task-facerecognition_run-02_events.json,/sub-01/sub-01_events.json,/sub-01/sub-01_task-facerecognition_events.json,/sub-01/sub-01_run-02_events.json,/sub-01/sub-01_task-facerecognition_run-02_events.json,/sub-01/ses-mri/sub-01_ses-mri_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/sub-01_ses-mri_run-02_events.json,/sub-01/ses-mri/sub-01_ses-mri_task-facerecognition_run-02_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_run-02_events.json,/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-02_events.json

and 247 more files

/sub-10/ses-mri/func/sub-10_ses-mri_task-facerecognition_run-09_events.tsv

The onset of the last event is after the total duration of the corresponding scan. This design is suspiciously long.

Dataset File Tree

Git Hash: 8999bdc 

Comments

Please sign in to contribute to the discussion.
By effigies@gmail.com - almost 3 years ago
"PhaseEncodingDirection" is missing from task-facerecognition_bold.json. This makes fieldmap correction impossible. Is this information recoverable?
By rik.henson@mrc-cbu.cam.ac.uk - almost 3 years ago
Sorry for the delay - I have updated the "task-facerecognition_bold.json" in the root directory, which now includes the "PhaseEncodingDirection" field (which should be inherited by all subjects and runs).

Note there are also many more fields (from dcm2bids), including "SliceTiming" and "EffectiveEchoSpacing" that others have asked for (I'm not sure why BIDS Validator still complains that they are not present, unless Validator does not implement this BIDS inheritance?)

By krzysztof.gorgolewski@gmail.com - over 3 years ago
This dataset seems to include an empty file 'derivatives/meg_derivatives/ct_sparse.fif' - was that intentional?
By rik.henson@mrc-cbu.cam.ac.uk - over 3 years ago
Not intentional - an error, sorry - I will upload correct file, plus several other empty placeholder files, eg stimulus files (left over from github filespace limits) - once the S3 version of OpenNeuro is ready, so I can upload them separately, because the dataset is so large that a single upload takes >10 hours and is more prone to interruption.
By rik.henson@mrc-cbu.cam.ac.uk - over 3 years ago
ct_sparse.fif and *.bmp stimulus files now uploaded in v4
By krzysztof.gorgolewski@gmail.com - almost 3 years ago
The S3 version of OpenNeuro is ready. You can update your dataset in bulk using a command line client. More details at https://github.com/OpenNeuroOrg/openneuro/tree/master/packages/openneuro-cli
By dtborek@gmail.com - over 2 years ago
Why version 1.0.3 is 460 gb but 1.0.2 weights 30 gb? Anyway when I use dtatalad it starting downloading dataset that is around 160 gb :(
By doyle.andrew@gmail.com - about 2 years ago
That's probably because datalad reuses the overlap from the 460 gb between the versions, but I can't say for sure!
By doyle.andrew@gmail.com - about 2 years ago
This is a great dataset, thanks for sharing!
By psoulos@gmail.com - over 1 year ago
Hello, I have a couple of questions about using FreeSurfer with version 1.0.3 compared to version 0.1.1 on OpenfMRI. Version 0.1.1 uses the standard FreeSurfer directory structure, and I understand how to use FreeSurfer with this format. I am unsure of how to use FreeSurfer with version 1.0.3.

In Version 0.1.1, I can run `recon-all` on sub001/anatomy/highres001.nii.gz
In Version 1.0.3, should I run `recon-all` on sub-01/ses-mri/anat/sub-01_ses-mri_acq-mprage_T1w.nii.gz?

Is there a recommended way to run `preproc-sess`, `mkanalysis-sess`, and other session level commands using the version 1.0.3 directory structure?

I also noticed that the fMRI stimuli are different between the two versions. The identity of the faces is the same between the two versions, but the actual image of each identity is different. Which image was actually shown to participants?

Thank you,
Paul
By andrewjanke@gmail.com - over 1 year ago
Hi there. I just downloaded version 1.0.3 of this dataset using the aws CLI downloader mechanism. There are couple files with weird-looking names beginning with dots and ending in an extra extension that looks like a random sequence of characters.

[~/Downloads/BIDS/ds000117-download]
$ find . -type f -name '.*.*' -exec ls -lh {} \;
-rw-r--r-- 1 janke staff 512K Aug 19 2018 ./derivatives/freesurfer/sub-01/ses-mri/anat/label/.lh.BA.thresh.annot.f3h5wZ
-rw-r--r-- 1 janke staff 239M Nov 26 2018 ./sub-02/ses-meg/meg/.sub-02_ses-meg_task-facerecognition_run-05_meg.fif.Seznkq

They correspond to not-starting-with-a-dot, not-ending-in-a-random-suffix files of similar names.

$ ls -l derivatives/freesurfer/sub-01/ses-mri/anat/label/lh.BA.thresh.annot
-rw-r--r-- 1 janke staff 1097187 Aug 19 2018 derivatives/freesurfer/sub-01/ses-mri/anat/label/lh.BA.thresh.annot
$ ls -l sub-02/ses-meg/meg/sub-02_ses-meg_task-facerecognition_run-05_meg*
-rw-r--r-- 1 janke staff 865455174 Nov 26 2018 sub-02/ses-meg/meg/sub-02_ses-meg_task-facerecognition_run-05_meg.fif

Are these temporary files of some sort that got accidentally included in the dataset? From what I've read of the BIDS specification, it doesn't define any starting-with-dots files like this.
By psoulos@gmail.com - over 1 year ago
Those look like temporary files from downloading the dataset. I would redownload those specific files just to make sure that you don't end up with a corrupted version.

By andrewjanke@gmail.com - over 1 year ago
Hi there. I just downloaded version 1.0.3 of this dataset using the aws CLI downloader mechanism. There are couple files with weird-looking names beginning with dots and ending in an extra extension that looks like a random sequence of characters.

[~/Downloads/BIDS/ds000117-download]
$ find . -type f -name '.*.*' -exec ls -lh {} \;
-rw-r--r-- 1 janke staff 512K Aug 19 2018 ./derivatives/freesurfer/sub-01/ses-mri/anat/label/.lh.BA.thresh.annot.f3h5wZ
-rw-r--r-- 1 janke staff 239M Nov 26 2018 ./sub-02/ses-meg/meg/.sub-02_ses-meg_task-facerecognition_run-05_meg.fif.Seznkq

They correspond to not-starting-with-a-dot, not-ending-in-a-random-suffix files of similar names.

$ ls -l derivatives/freesurfer/sub-01/ses-mri/anat/label/lh.BA.thresh.annot
-rw-r--r-- 1 janke staff 1097187 Aug 19 2018 derivatives/freesurfer/sub-01/ses-mri/anat/label/lh.BA.thresh.annot
$ ls -l sub-02/ses-meg/meg/sub-02_ses-meg_task-facerecognition_run-05_meg*
-rw-r--r-- 1 janke staff 865455174 Nov 26 2018 sub-02/ses-meg/meg/sub-02_ses-meg_task-facerecognition_run-05_meg.fif

Are these temporary files of some sort that got accidentally included in the dataset? From what I've read of the BIDS specification, it doesn't define any starting-with-dots files like this.
By neurolang@g.ncu.edu.tw - about 1 year ago
Hi, thank you very much for sharing this dataset!

I have a question about the MEG data (*.fif files). Are the FIF files (including *fif files of each participant and *fif files of empty room data) processed with MaxFilter? Thanks!

All the best,
Kevin Hsu
By neurolang@g.ncu.edu.tw - about 1 year ago
I am very sorry for posting the same message several times. I did not see the post of my comment so I sent this comment for several times... Now I know that the latest message is posted at the bottom of the page. I am very sorry for my mistake!

Kevin Hsu
By rik.henson@mrc-cbu.cam.ac.uk - about 1 year ago
Hi Kevin. The MEG data in the main folders are raw, ie have not been maxfiltered. Maxfiltered versions are in the "derivatives" sub-folder. Best wishes, Rik.
By neurolang@g.ncu.edu.tw - about 1 year ago
Hi Rik, Thank you for explaining the files. I will go for the data in the derivatives sub-folder. All the best, Kevin

By fatemeh.391@gmail.com - about 1 year ago
Many thanks for sharing the dataset. Is it possible please to tell me is there EEG data in this dataset too?
By rik.henson@mrc-cbu.cam.ac.uk - about 1 year ago
Yes, 70 channels of nose-referenced EEG data, recorded simultaneously with the MEG, are part of the channels in the FIF file. Various freeware (eg FieldTrip) can extract them from the FIF files into, eg, Matlab.
By moritz.maschke@merkur.uni-freiburg.de - 3 months ago
I just got a reply from Prof Henson that I'll share: "EEG061 and EEG062 are H+V EOG. EEG063 is ECG. EEG064 is floating noise, ie nothing."
I hope that this is helpful to other users. The noise channel was not mentioned in the paper, which I recommend as a good read. :)
By agathe.senellart@gmail.com - 3 months ago
Hi!
I tried downloading a single file
sub-01_ses-meg_meg_sub-01_ses-meg_task-facerecognition_run-01_meg.fif
But it doesn't seem to work today although I did it a month ago and it worked fine. The file only contains an error message :
{"error": "file not found"}
Do you know what might be happening here ?
Thank you for your help !