ForrestGump-MEG

uploaded by Xingyu Liu on 2021-04-24 - about 2 months ago
last modified on 2021-05-17 - about 1 month ago
authored by Xingyu Liu, Yuxuan Dai, Hailun Xie, Zonglei Zhen
61569610
We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-01/ses-movie/anat/sub-01_ses-movie_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 192,224,256 (voxels).


OpenNeuro Accession Number: ds003633
Files: 2298, Size: 73.51GB, Subjects: 11, Session: 1
Available Tasks: movie, noise
Available Modalities: T1w, coordsystem, channels, events, meg

README

*ForrestGump-MEG: A audio-visual movie watching MEG dataset*

For details please refer to our paper on [].

This dataset contains MEG data recorded from 11 subjects while watching the 2h long Chinese-dubbed audio-visual movie 'Forrest Gump'. The data were acquired with a 275-channel CTF MEG. Auxiliary data (T1w) as well as derivation data such as preprocessed data and MEG-MRI co-registration are also included.

Pre-process procedure description

The T1w images stored as NIFTI files were minimally-preprocessed using the anatomical preprocessing pipeline from fMRIPrep with default settings.

MEG data were pre-processed using MNE following a three-step procedure: 1. bad channels were detected and removed. 2. a high-pass filter of 1 Hz was applied to remove possible slow drifts from the continuous MEG data. 3. artifacts removal was performed with ICA.

Stimulus material

The audio-visual stimulus material was from the Chinese-dubbed 'Forrest Gump' DVD released in 2013 (ISBN: 978-7-7991-3934-0), which cannot be publicly released here due to copyright restrictions.

Dataset content overview

the data were organized following the MEG-BIDS using MNE-BIDS toolbox.

the pre-processed MEG data

The preprocessed MEG recordings including the preprocessed MEG data, the event files, the ICA decomposition and label files and the MEG-MRI coordinate transformation file are hosted here.

└── ./derivatives/preproc_meg-mne_mri-fmriprep/sub-xx/ses-movie/meg/
    ├── sub-xx_ses-movie_coordsystem.json
    ├── sub-xx_ses-movie_task-movie_run-xx_channels.tsv
    ├── sub-xx_ses-movie_task-movie_run-xx_decomposition.tsv
    ├── sub-xx_ses-movie_task-movie_run-xx_events.tsv
    ├── sub-xx_ses-movie_task-movie_run-xx_ica.fif.gz
    ├── sub-xx_ses-movie_task-movie_run-xx_meg.fif
    ├── sub-xx_ses-movie_task-movie_run-xx_meg.json
    ├── ...
    └── sub-xx_ses-movie_task-movie_trans.fif

the pre-processed MRI data

The preprocessed MRI volume, reconstructed surface, and other associations including transformation files are hosted here

└── ./derivatives/preproc_meg-mne_mri-fmriprep/sub-xx/ses-movie/anat/
    ├── sub-xx_ses-movie_desc-preproc_T1w.nii.gz
    ├── sub-xx_ses-movie_hemi-L_inflated.surf.gii
    ├── sub-xx_ses-movie_hemi-L_midthickness.surf.gii
    ├── sub-xx_ses-movie_hemi-L_pial.surf.gii
    ├── sub-xx_ses-movie_hemi-L_smoothwm.surf.gii
    ├── sub-xx_ses-movie_hemi-R_inflated.surf.gii
    ├── sub-xx_ses-movie_hemi-R_midthickness.surf.gii
    ├── sub-xx_ses-movie_hemi-R_pial.surf.gii
    ├── sub-xx_ses-movie_hemi-R_smoothwm.surf.gii
    ├── sub-xx_ses-movie_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz
    ├── sub-xx_ses-movie_space-MNI152NLin6Asym_desc-preproc_T1w.nii.gz
    └── ...

the FreeSurfer surface data, the high-resolution head surface and the MRI-fiducials are provided here

└── ./derivatives/preproc_meg-mne_mri-fmriprep/sourcedata/
    └── freesurfer    
        └── sub-xx
        └── ...

the raw data

└── ./sub-xx/ses-movie/    
    ├── meg/
    │    ├── sub-xx_ses-movie_coordsystem.json
    │    ├── sub-xx_ses-movie_task-movie_run-xx_channels.tsv
    │    ├── sub-xx_ses-movie_task-movie_run-xx_events.tsv
    │    ├── sub-xx_ses-movie_task-movie_run-xx_meg.ds
    │    ├── sub-xx_ses-movie_task-movie_run-xx_meg.json
    │    └── ...        
    └── anat/
        ├── sub-xx_ses-movie_T1w.json
        └── sub-xx_ses-movie_T1w.nii.gz

Authors

  • Xingyu Liu
  • Yuxuan Dai
  • Hailun Xie
  • Zonglei Zhen

Dataset DOI

10.18112/openneuro.ds003633.v1.0.1

License

CC0

Acknowledgements

We would like to thank the team of the studyforrest project for their great contribution in acquiring and sharing the studyforrest dataset (https://openneuro.org/datasets/ds000113/versions/1.3.0).

How to Acknowledge

Funding

  • National Key R&D Program of China (Grant No. 2019YFA0709503)
  • National Natural Science Foundation of China (Grant No. 31771251)

References and Links

Ethics Approvals

  • Institutional Review Board of the Faculty of Psychology, Beijing Normal University

How To Cite

Copy
Xingyu Liu and Yuxuan Dai and Hailun Xie and Zonglei Zhen (2021). ForrestGump-MEG. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003633.v1.0.1
More citation info

ForrestGump-MEG

uploaded by Xingyu Liu on 2021-04-24 - about 2 months ago
last modified on 2021-05-17 - about 1 month ago
authored by Xingyu Liu, Yuxuan Dai, Hailun Xie, Zonglei Zhen
61569610

OpenNeuro Accession Number: ds003633
Files: 2298, Size: 73.51GB, Subjects: 11, Session: 1
Available Tasks: movie, noise
Available Modalities: T1w, coordsystem, channels, events, meg

README

*ForrestGump-MEG: A audio-visual movie watching MEG dataset*

For details please refer to our paper on [].

This dataset contains MEG data recorded from 11 subjects while watching the 2h long Chinese-dubbed audio-visual movie 'Forrest Gump'. The data were acquired with a 275-channel CTF MEG. Auxiliary data (T1w) as well as derivation data such as preprocessed data and MEG-MRI co-registration are also included.

Pre-process procedure description

The T1w images stored as NIFTI files were minimally-preprocessed using the anatomical preprocessing pipeline from fMRIPrep with default settings.

MEG data were pre-processed using MNE following a three-step procedure: 1. bad channels were detected and removed. 2. a high-pass filter of 1 Hz was applied to remove possible slow drifts from the continuous MEG data. 3. artifacts removal was performed with ICA.

Stimulus material

The audio-visual stimulus material was from the Chinese-dubbed 'Forrest Gump' DVD released in 2013 (ISBN: 978-7-7991-3934-0), which cannot be publicly released here due to copyright restrictions.

Dataset content overview

the data were organized following the MEG-BIDS using MNE-BIDS toolbox.

the pre-processed MEG data

The preprocessed MEG recordings including the preprocessed MEG data, the event files, the ICA decomposition and label files and the MEG-MRI coordinate transformation file are hosted here.

└── ./derivatives/preproc_meg-mne_mri-fmriprep/sub-xx/ses-movie/meg/
    ├── sub-xx_ses-movie_coordsystem.json
    ├── sub-xx_ses-movie_task-movie_run-xx_channels.tsv
    ├── sub-xx_ses-movie_task-movie_run-xx_decomposition.tsv
    ├── sub-xx_ses-movie_task-movie_run-xx_events.tsv
    ├── sub-xx_ses-movie_task-movie_run-xx_ica.fif.gz
    ├── sub-xx_ses-movie_task-movie_run-xx_meg.fif
    ├── sub-xx_ses-movie_task-movie_run-xx_meg.json
    ├── ...
    └── sub-xx_ses-movie_task-movie_trans.fif

the pre-processed MRI data

The preprocessed MRI volume, reconstructed surface, and other associations including transformation files are hosted here

└── ./derivatives/preproc_meg-mne_mri-fmriprep/sub-xx/ses-movie/anat/
    ├── sub-xx_ses-movie_desc-preproc_T1w.nii.gz
    ├── sub-xx_ses-movie_hemi-L_inflated.surf.gii
    ├── sub-xx_ses-movie_hemi-L_midthickness.surf.gii
    ├── sub-xx_ses-movie_hemi-L_pial.surf.gii
    ├── sub-xx_ses-movie_hemi-L_smoothwm.surf.gii
    ├── sub-xx_ses-movie_hemi-R_inflated.surf.gii
    ├── sub-xx_ses-movie_hemi-R_midthickness.surf.gii
    ├── sub-xx_ses-movie_hemi-R_pial.surf.gii
    ├── sub-xx_ses-movie_hemi-R_smoothwm.surf.gii
    ├── sub-xx_ses-movie_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz
    ├── sub-xx_ses-movie_space-MNI152NLin6Asym_desc-preproc_T1w.nii.gz
    └── ...

the FreeSurfer surface data, the high-resolution head surface and the MRI-fiducials are provided here

└── ./derivatives/preproc_meg-mne_mri-fmriprep/sourcedata/
    └── freesurfer    
        └── sub-xx
        └── ...

the raw data

└── ./sub-xx/ses-movie/    
    ├── meg/
    │    ├── sub-xx_ses-movie_coordsystem.json
    │    ├── sub-xx_ses-movie_task-movie_run-xx_channels.tsv
    │    ├── sub-xx_ses-movie_task-movie_run-xx_events.tsv
    │    ├── sub-xx_ses-movie_task-movie_run-xx_meg.ds
    │    ├── sub-xx_ses-movie_task-movie_run-xx_meg.json
    │    └── ...        
    └── anat/
        ├── sub-xx_ses-movie_T1w.json
        └── sub-xx_ses-movie_T1w.nii.gz

Authors

  • Xingyu Liu
  • Yuxuan Dai
  • Hailun Xie
  • Zonglei Zhen

Dataset DOI

10.18112/openneuro.ds003633.v1.0.1

License

CC0

Acknowledgements

We would like to thank the team of the studyforrest project for their great contribution in acquiring and sharing the studyforrest dataset (https://openneuro.org/datasets/ds000113/versions/1.3.0).

How to Acknowledge

Funding

  • National Key R&D Program of China (Grant No. 2019YFA0709503)
  • National Natural Science Foundation of China (Grant No. 31771251)

References and Links

Ethics Approvals

  • Institutional Review Board of the Faculty of Psychology, Beijing Normal University

How To Cite

Copy
Xingyu Liu and Yuxuan Dai and Hailun Xie and Zonglei Zhen (2021). ForrestGump-MEG. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003633.v1.0.1
More citation info

Dataset File Tree

Git Hash: 986ccf3 

BIDS Validation

We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-01/ses-movie/anat/sub-01_ses-movie_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 192,224,256 (voxels).

Dataset File Tree

Git Hash: 986ccf3 

Comments

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