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* update ds000117

Co-authored-by: Andrew Janke <andrew@apjanke.net>

* manually delete download trash file

 ds000117/derivatives/freesurfer/sub-01/ses-mri/anat/label/.lh.BA.thresh.annot.f3h5wZ

Co-authored-by: Andrew Janke <andrew@apjanke.net>
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sappelhoff and apjanke authored Jan 19, 2021
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4 changes: 2 additions & 2 deletions ds000117/.bidsignore
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run-*_echo-*_FLASH.json
**/sub-*_ses-mri_run-*_echo-*_FLASH.nii.gz
run-*_echo-*_FLASH.json
**/sub-*_ses-mri_run-*_echo-*_FLASH.nii.gz
41 changes: 41 additions & 0 deletions ds000117/CHANGES
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1.0.4 2020-12-18
- Corrected stimuli (and added a few more notes about subject numbers in different versions of dataset)
1.0.3 2018-11-26

- Updated task-facerecognition_bold.json and acq-mprage_T1w.json with more fields (eg PhaseEncodingDirection and SliceTiming). Added README note about reduced volumes for sub-10, run-09. Deleted session-specific *channels.tsv and *json files for MEG sub-emptyroom (which were labelled with "task-facerecognition" rather than "task-noise" like *.fif files, causing BIDS Validator error). Added a single *channels.tsv and *.json at higher level of sub-emptyroom, which should be inherited)

1.0.2 2018-09-30

- Moved *_meg.json and *_channels.tsv to session level
- Various edits to *_coordsystem.json and *_meg.json files
- Added acquisition dates of corresponding empty room scan to *scans.tsv
- Copied metadata from *_meg.json files to derivatives/

1.0.2 2018-09-13

- Adding DOI

1.0.1 2018-08-25

- Deleted *.fif.gz files

1.0.1 2018-08-23

- Deleted *.fif.gz files

4.0.0 2018-05-23

- Removed 2 dummy func volumes per run so onsets match start of third scan, and uploaded stimulus and some reference files that were previously empty placeholders

3.0.0 2018-04-06

- Another update to README after accession number changed again

2.0.0 2018-04-03

- Just changed dataset name and some info in README

1.0.0 2018-03-31

- First release of OpenNeuro version with MEG BIDS

Revision history for OpenfMRI dataset ds000117

1.0.0 2017-11-08
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105 changes: 64 additions & 41 deletions ds000117/README
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This dataset was obtained from the OpenfMRI project (http://www.openfmri.org).
Accession #: ds000117
Description: Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face recognition
This dataset was obtained from the OpenNeuro project (https://www.openneuro.org). Accession #: ds000117

Please cite the following references if you use these data:
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)

A multi-subject, multi-modal human neuroimaging dataset
Note that it is a subset of the data available on OpenfMRI (http://www.openfmri.org; Accession #: ds000117).

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

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

Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face recognition
==================================================================================
Please cite the following reference if you use these data:

Please note that the subject ordering has changed since version 0.1.x (non-BIDS) of this
dataset. Additionally, three subjects have been left out. The mapping is as follows:
0.1.x: 02 03 05 14 08 09 10 11 12 15 16 17 18 23 24 25
current: 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
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/
-----
The experiment began at the third nifti volume (corresponding to 5 ignored scans: 3 forced siemens dummies (no files) and 2 included in the data).
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/
----
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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.
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.


If you wish to publish any of these data, please acknowledge Daniel Wakeman and Richard Henson. The data has been published so far in:

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

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.

Henson, R.N., Wakeman, D.G., Phillips, C. & Rowe, J. (2012). Effective Connectivity between OFA and FFA during face perception: DCM of evoked MEG, EEG and fMRI responses. HBM2012 Abstract.


### Comments added by Openfmri Curators ###
===========================================

General Comments
----------------


Defacing
--------
Defacing was performed by the submitter
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/

Where to discuss the dataset
----------------------------
1) www.openfmri.org/dataset/ds000117/ See the comments section at the bottom of the dataset
page.
2) www.neurostars.org Please tag any discussion topics with the tags openfmri and ds000117.
3) Send an email to submissions@openfmri.org. Please include the accession number in
your email.

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

9 changes: 0 additions & 9 deletions ds000117/acq-epi_T1w.json

This file was deleted.

58 changes: 49 additions & 9 deletions ds000117/acq-mprage_T1w.json
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{
"RepetitionTime": 2.25,
"EchoTime": 0.00298,
"InversionTime": 0.9,
"FlipAngle": 9,
"Manufacturer": "Siemens",
"ManufacturersModelName": "TIM TRIO",
"MagneticFieldStrength": 3,
"PulseSequenceType": "MPRAGE"
}
"InPlanePhaseEncodingDirectionDICOM": "ROW",
"InversionTime": 0.9,
"ImageComments": "V",
"ProcedureStepDescription": "CBU_Neuroimaging",
"DeviceSerialNumber": "35119",
"AcquisitionMatrixPE": 246,
"ManufacturersModelName": "TrioTim",
"ProtocolName": "CBU_MPRAGE",
"RepetitionTime": 2.25,
"PhaseEncodingSteps": 215,
"MRAcquisitionType": "3D",
"ParallelReductionFactorInPlane": 2,
"SliceThickness": 1,
"AcquisitionNumber": 1,
"InstitutionName": "MRC Cognition and Brain Sciences Unit",
"DwellTime": 8.5e-06,
"PulseSequenceDetails": "%SiemensSeq%_tfl",
"ScanningSequence": "GR_IR",
"Manufacturer": "Siemens",
"ConversionSoftware": "dcm2niix",
"PercentPhaseFOV": 100,
"ReconMatrixPE": 256,
"FlipAngle": 9,
"ConversionSoftwareVersion": "v1.0.20171215 GCC4.4.7",
"SeriesDescription": "CBU_MPRAGE",
"PartialFourier": 0.875,
"InstitutionAddress": "15 Chaucer Road, Cambridge CB2 7EF, UK",
"SequenceName": "_tfl3d1_ns",
"MagneticFieldStrength": 3,
"ImageType": [
"ORIGINAL",
"PRIMARY",
"M",
"ND",
"NORM"
],
"ReceiveCoilName": "HeadMatrix",
"EchoTime": 0.00298,
"SequenceVariant": "SP_MP_OSP",
"PhaseResolution": 0.96,
"BaseResolution": 256,
"PixelBandwidth": 230,
"ScanOptions": "IR_PFP",
"SoftwareVersions": "syngo_MR_B15",
"StationName": "MRC35119",
"Modality": "MR",
"PatientPosition": "HFS",
"PulseSequenceType": "MPRAGE"
}
29 changes: 19 additions & 10 deletions ds000117/dataset_description.json
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{
"BIDSVersion": "1.0.2",
"License": "CC0",
"Name": "A multi-subject, multi-modal human neuroimaging dataset",
"Authors": ["Wakeman, DG", "Henson, RN"],
"Acknowledgements": "This work was supported by the UK Medical Research Council (MC_A060_5PR10) 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.",
"HowToAcknowledge": "Cite this paper: https://www.ncbi.nlm.nih.gov/pubmed/25977808 and consider including the following message: 'This data was obtained from the OpenfMRI database. Its accession number is ds000117'",
"ReferencesAndLinks": ["https://www.ncbi.nlm.nih.gov/pubmed/25977808", "https://openfmri.org/dataset/ds000117/"],
"Funding": ["UK Medical Research Council (MC_A060_5PR10)","Elekta Ltd."]
}

"Name": "Multisubject, multimodal face processing",
"License": "CC0",
"Authors": [
"Wakeman, DG",
"Henson, RN"
],
"Acknowledgements": "This work was supported by the UK Medical Research Council (SUAG/010\nRG91365) 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.",
"HowToAcknowledge": "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."
],
"ReferencesAndLinks": [
"https://www.ncbi.nlm.nih.gov/pubmed/25977808",
"https://openfmri.org/dataset/ds000117/",
"ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/Publications/"
],
"BIDSVersion": "1.0.2",
"DatasetDOI": "10.18112/openneuro.ds000117.v1.0.4"
}
8 changes: 8 additions & 0 deletions ds000117/derivatives/freesurfer/README
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freesurfer derivatives for Brainstorm processing pipeline
http://neuroimage.usc.edu/brainstorm/Tutorials/VisualSingle

freesurfer VERSION:
freesurfer-x86_64-redhat-linux-gnu-stable5-20130513

freesurfer OPTIONS:
recon-all
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{
"SoftwareFilters": {
"SSS": {
"frame": "head",
"mm": [4,11,38],
"autobad": "on",
"linefreq": "50",
"hpisubt": "amp",
"movecomp": "inter",
"hpistep": "10",
"trans": "run4",
"version": "MaxFilter2.2",
"ctc": "derivatives/meg_derivatives/ct_sparse.fif",
"cal": "derivatives/meg_derivatives/sss_cal.dat"
}
}
}
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