Forrest Gump

uploaded by Joseph Wexler on 2018-08-12 - almost 3 years ago
last modified on 2018-08-21 - almost 3 years ago
authored by Michael Hanke, Florian J. Baumgartner, Pierre Ibe, Falko R. Kaule, Stefan Pollmann, Oliver Speck, Wolf Zinke, Jorg Stadler
148140364

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README

Note: This dataset is the combination of four related datasets that were originally hosted on OpenfMRI.org: ds000113, ds000113b, ds000113c and ds000113d. The combined dataset is now in BIDS format and is simply referred to as ds000113 on OpenNeuro.org.

For more information about the project visit: http://studyforrest.org

This dataset contains high-resolution functional magnetic resonance (fMRI) data from 20 participants recorded at high field strength (7 Tesla) during prolonged stimulation with an auditory feature film ("Forrest Gump''). In addition, a comprehensive set of auxiliary data (T1w, T2w, DTI, susceptibility-weighted image, angiography) as well as measurements to assess technical and physiological noise components have been acquired. An initial analysis confirms that these data can be used to study common and idiosyncratic brain response pattern to complex auditory stimulation. Among the potential uses of this dataset is the study of auditory attention and cognition, language and music perception as well as social perception. The auxiliary measurements enable a large variety of additional analysis strategies that relate functional response patterns to structural properties of the brain. Alongside the acquired data, we provide source code and detailed information on all employed procedures — from stimulus creation to data analysis. (https://www.nature.com/articles/sdata20143)

The dataset also contains data from the same twenty participants while being repeatedly stimulated with a total of 25 music clips, with and without speech content, from five different genres using a slow event-related paradigm. It also includes raw fMRI data, as well as pre-computed structural alignments for within-subject and group analysis.

Additionally, seven of the twenty subjects participated in another study: empirical ultra high-field fMRI data recorded at four spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) for orientation decoding in visual cortex — in order to test hypotheses on the strength and spatial scale of orientation discriminating signals. (https://www.sciencedirect.com/science/article/pii/S2352340917302056)

Finally, there are additional acquisitions for fifteen of the the twenty participants: retinotopic mapping, a localizer paradigm for higher visual areas (FFA, EBA, PPA), and another 2 hour movie recording with 3T full-brain BOLD fMRI with simultaneous 1000 Hz eyetracking.

For more information about the project visit: http://studyforrest.org

Dataset content overview

Stimulus material and protocol descriptions

./sourcedata/acquisition_protocols/04-sT1W_3D_TFE_TR2300_TI900_0_7iso_FS.txt ./sourcedata/acquisition_protocols/05-sT2W_3D_TSE_32chSHC_0_7iso.txt ./sourcedata/acquisition_protocols/06-VEN_BOLD_HR_32chSHC.txt ./sourcedata/acquisition_protocols/07-DTI_high_2iso.txt ./sourcedata/acquisition_protocols/08-field_map.txt Philips-specific MRI acquisition parameters dumps (plain text) for structural MRI (T1w, T2w, SWI, DTI, fieldmap -- in this order)

./sourcedata/acquisition_protocols/task01_fmri_session1.pdf ./sourcedata/acquisition_protocols/task01_fmri_session2.pdf ./sourcedata/acquisition_protocols/angio_session.pdf Siemens-specific MRI acquisition parameters dumps (PDF format) for functional MRI and angiography.

./stimuli/annotations/german_audio_description.csv

Audio-description transcript

This transcript contains all information on the audio-movie content that cannot be inferred from the DVD release — in a plain text, comma-separated-value table. Start and end time stamp, as well as the spoken text are provided for each continuous audio description segment.

./stimuli/annotations/scenes.csv

Movie scenes

A plain text, comma-separated-value table with start and end time for all 198 scenes in the presented movie cut. In addition, each table row contains whether a scene takes place indoors or outdoors.

./stimuli/generate/generate_melt_cmds.py Python script to generate commands for stimuli generation

./stimuli/psychopy/buttons.csv ./stimuli/psychopy/forrest_gump.psyexp ./stimuli/psychopy/segment_cfg.csv Source code of the stimuli presentation in PsychoPy

Functional imaging - Forrest Gump Task

Prolonged quasi-natural auditory stimulation (Forrest Gump audio movie)

Eight approximately 15 min long recording runs, together comprising the entire duration of a two-hour presentation of an audio-only version of the Hollywood feature film "Forrest Gump" made for a visually impaired audience (German dubbing).

For each run, there are 4D volumetric images (160x160x36)in NIfTI format , one volume recorded every 2 s, obtain from a Siemens MR scanner at 7 Tesla using a T2*-weighted gradient-echo EPI sequence (1.4 mm isotropic voxel size). These images have partial brain coverage — centered on the auditory cortices in both brain hemispheres and include frontal and posterior portions of the brain. There is no coverage for the upper portion of the brain (e.g. large parts of motor and somato-sensory cortices).

Several flavors of raw and preprocessed data are available:

Raw BOLD functional MRI ~~~

These raw data suffer from severe geometric distortions.

Filename examples for subject 01 and run 01

./sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold.nii.gz BOLD data

./sourcedata/dicominfo/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

Raw BOLD functional MRI (with applied distortion correction)

Identical to raw BOLD data, but with a scanner-side correction for geometric distortions applied (also include correction for participant motion). These data are most suitable for analysis of individual brains.

Filename examples for subject 01 and run 01

./sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold.nii.gz BOLD data

./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-dico_run-01_moco_ref.nii.gz Reference volume used for motion correction. Only runs 1 and 5 (first runs in each session)

./sourcedata/dicominfo/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

Raw BOLD functional MRI (linear anatomical alignment) ~

These images are motion and distortion corrected and have been anatomically aligned to a BOLD group template image that was generated from the entire group of participants.

Alignment procedure was linear (image projection using an affine transformation). These data are most suitable for group-analyses and inter-individual comparisons.

Filename examples for subject 01 and run 01

./derivatives/linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7Tad_run-01_bold.nii.gz BOLD data

./derivatives/linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadBrainMask_run-01_bold.nii.gz Matching brain mask volume

./derivatives/linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-XFMdico7Tad2grpbold7Tad_run-01_bold.mat 4x4 affine transformation matrix (plain text format)

Raw BOLD functional MRI (non-linear anatomical alignment) ~

These images are motion and distortion corrected and have been anatomically aligned to a BOLD group template image that was generated from the entire group of participants.

Alignment procedure was non-linear (image projection using an affine transformation with additional transformation by non-linear warpfields). These data are most suitable for group-analyses and inter-individual comparisons.

Filename examples for subject 01 and run 01

./derivatives/non-linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadNL_run-01_bold.nii.gz BOLD data

./derivatives/non-linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadBrainMaskNLBrainMask_run-01_bold.nii.gz Matching brain mask volume

./derivatives/non-linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadNLWarp_run-01_bold.nii.gz Warpfield (associated affine transformation is identical with "linear" alignment

Functional imaging - Auditory Perception Session --------------------------------------------- Participants were repeatedly stimulated with a total of 25 music clips, with and without speech content, from five different genres using a slow event-related paradigm.

Filename examples for subject 01 and run 01

./sub-01/ses-auditoryperception/func/sub-01_ses-auditoryperception_task-auditoryperception_run-01_bold.nii.gz ./sub-01/ses-auditoryperception/func/sub-01_ses-auditoryperception_task-auditoryperception_run-01_events.tsv

Functional imaging - Localizer Session --------------------------------------------- Filename examples for subject 01 and run 01

./sub-01/ses-localizer/func/sub-01_ses-localizer_task-movielocalizer_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-movielocalizer_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-objectcategories_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-objectcategories_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapccw_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapccw_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapclw_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapclw_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapcon_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapcon_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapexp_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapexp_run-1_defacemask.nii.gz

Functional imaging - Movie Session --------------------------------------------- Filename examples for subject 01 and run 01

./sub-01/ses-movie/func/sub-01_ses-movie_task-movie_run-1_bold.nii.gz ./sub-01_ses-movie_task-movie_run-1_defacemask.nii.gz ./sub-01_ses-movie_task-movie_run-1_events.tsv

Functional imaging - Coverage and Orientation Tasks --------------------------------------------- Filename examples for subject 06, ses-r08 and run 01

./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_rec-dico_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_rec-dico_run-01_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_run-01_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_run-01_events.tsv

Structural MRI data (T1w, T2w, SWI)

T1-weighted images (gray-white contrast)

Full-brain volumetric images (384x384x274) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a 3D TFE sequence (0.67 mm isotropic voxel size). Facial features have been removed from these images for de-identification.

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T1w.nii.gz Data

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T1w_dicominfo.txt Image property dump from DICOM conversion

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_mod-T1w_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

T2-weighted images (fluid-tissue contrast) ~~

Full-brain volumetric images (384x384x274) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a 3D TSE sequence (0.67 mm isotropic voxel size). Facial features have been removed from these images for de-identification.

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T2w.nii.gz Data

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_mod-T2w_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T2w_dicominfo.txt Image property dump from DICOM conversion

Susceptibility-weighted images (venography) ~~~

Full-brain volumetric images (512x512x500) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a 3D Presto FFE sequence (0.43x0.43x0.35 mm voxel size). Facial features have been removed from these images for de-identification. Separate phase and magnitude images are provided.

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-mag_veno.nii.gz Magnitude image

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-mag_mod-veno_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-mag_veno_dicominfo.txt Image property dump from DICOM conversion

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-pha_mod-veno_defacemask.nii.gz ./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-pha_veno_dicominfo.txt ./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-pha_veno.nii.gz Corresponding files for the phase image

Diffusion tensor imaging data

Full-brain volumetric images (144x144x70) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a diffusion-weighted single-shot spin-echo EPI sequence (2 mm isotropic voxel size). Facial features have been removed from these images for de-identification. Records of B-values and B-vector orientations are provided, as well as a fieldmap (3 mm isotropic voxel size) for distortion correction

./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_dwi.nii.gz DTI data

./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_dwi.bval ./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_dwi.bvec B-values and orientations (plain text)

./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_mod-dwi_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_mod-magnitude1_defacemask.nii.gz ./sourcedata/dicominfo/sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_magnitude1_dicominfo.txt ./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_magnitude1.nii.gz ./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_mod-phasediff_defacemask.nii.gz ./sourcedata/dicominfo/sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_phasediff_dicominfo.txt ./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_phasediff.nii.gz Fieldmap files (analog filename to SWI images)

Physiological recordings and fMRI motion estimates

Participant motion estimates

These data have been estimated from the raw BOLD images prior to distortion correction. Files are provided in a six-column plain text format for each fMRI scanning run separately.

Example filenames for subject 01:

./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-01_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-02_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-03_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-04_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-05_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-06_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-07_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-08_bold_moco.txt

Cardiac and respiratory trace (physiological confounds) ~~~

These data have been obtain simultaneously to the fMRI recording. Files are in plain text format (compressed) for each scanning run separately and includes the MR scanner's volume acquisition trigger signal for precise temporal alignment. These data are useful for de-noising of fMRI time series.

Example filenames for subject 06 and run 01:

./sub-06/ses-forrestgump/func/sub-06_ses-forrestgump_task-forrestgump_run-01_physio.tsv.gz ./sub-06/ses-auditoryperception/func/sub-06_ses-auditoryperception_task-auditoryperception_run-01_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-movielocalizer_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-objectcategories_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapccw_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapclw_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapcon_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapexp_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-movie/func/sub-06_ses-movie_task-movie_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-movie/func/sub-06_ses-movie_task-movie_run-1_recording-eyegaze_physio.tsv.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_rec-dico_recording-motion_physio.tsv.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_rec-dico_run-01_recording-motion_physio.tsv.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_rec-dico_recording-motion_physio.tsv.gz

./derivatives/physio_logs/sub-06/ses-forrestgump/func/sub-06_ses-forrestgump_task-forrestgump_run-01_physio_conversion.log Conversion log with information on potential anomalies

Time-of-flight inflow angiography (arteriography)

Volumetric images (640x480x150) in NIfTI format recorded with a Siemens MR scanner at 7 Tesla using a 3D multi-slab sequence (0.3 mm isotropic voxel size). These images have partial brain coverage — approximately the same volume as the functional MRI scans.

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_angio_dicominfo.txt ./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_angio.nii.gz

Phantom raw BOLD fMRI

Identical imaging set up as the auditory stimulation fMRI, but scanning a gel phantom instead of a human participant. This data is a measurement of the technical noise in the fMRI acquisition pipeline.

These data are also contained in the respective BOLD data tarballs.

Example filenames for run01:

./sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold.nii.gz Raw BOLD data

./sourcedata/dicominfo/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

./sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold.nii.gz Motion and distortion-corrected data

./sourcedata/dicominfo/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

./derivatives/motion/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold_moco.txt Motion correction estimates

./derivatives/motion/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_moco_ref.nii.gz Motion correction reference volume (only run 1 and 5)

Group template volumes

Group-template images for anatomical alignment of individual brains into group space. Individual template images are provided for BOLD, T1w, and T2w images.

T1w template:

./derivatives/templates/t1w/head.nii.gz Template image

./derivatives/templates/t1w/brain.nii.gz Brain extracted template image

./derivatives/templates/t1w/in_mni/brain_12dof.nii.gz Brain extracted template image projected into MNI space

./derivatives/templates/t1w/xfm/mni2tmpl_12dof.mat ./derivatives/templates/t1w/xfm/tmpl2mni_12dof.mat Affine transformation matrices from template into MNI space (and back)

./derivatives/templates/t1w/from_mni/MNI152_T1_1mm_brain_mask_dil.nii.gz ./derivatives/templates/t1w/from_mni/MNI152_T1_1mm_brain_mask.nii.gz ./derivatives/templates/t1w/from_mni/MNI152_T1_1mm.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_brain.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_csf.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_gray.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_white.nii.gz MNI152 template images (masks and prior maps) projected into the template space

T2w template:

./derivatives/templates/t2w/brain.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_brain.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_csf.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_gray.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_white.nii.gz ./derivatives/templates/t2w/from_mni/MNI152_T1_1mm_brain_mask_dil.nii.gz ./derivatives/templates/t2w/from_mni/MNI152_T1_1mm_brain_mask.nii.gz ./derivatives/templates/t2w/from_mni/MNI152_T1_1mm.nii.gz ./derivatives/templates/t2w/head.nii.gz ./derivatives/templates/t2w/in_mni/brain_12dof.nii.gz ./derivatives/templates/t2w/xfm/mni2tmpl_12dof.mat ./derivatives/templates/t2w/xfm/tmpl2mni_12dof.mat Files analog to T1w template

BOLD template:

./derivatives/templates/grpbold7Tad/brain.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_brain.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_csf.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_gray.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_white.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/MNI152_T1_1mm_brain_mask_dil.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/MNI152_T1_1mm_brain_mask.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/MNI152_T1_1mm.nii.gz ./derivatives/templates/grpbold7Tad/head.nii.gz ./derivatives/templates/grpbold7Tad/in_mni/brain_12dof.nii.gz ./derivatives/templates/grpbold7Tad/xfm/mni2tmpl_12dof.mat ./derivatives/templates/grpbold7Tad/xfm/tmpl2mni_12dof.mat Files analog to T1w template

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad/aligned_brain_samples.nii.gz 4D volume with all aligned reference images across runs and participants. For QA.

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad/brain_mask_stats.nii.gz Brain mask overlap stats for linear alignment of all individual fMRI runs across participants to the BOLD template.

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad/brain_mask_intersection.nii.gz Brain mask intersection across all runs and participants

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad_nl/aligned_brain_samples.nii.gz ./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad_nl/brain_mask_intersection.nii.gz ./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad_nl/brain_mask_stats.nii.gz Analog files for non-linear alignment

Authors

  • Michael Hanke
  • Florian J. Baumgartner
  • Pierre Ibe
  • Falko R. Kaule
  • Stefan Pollmann
  • Oliver Speck
  • Wolf Zinke
  • Jorg Stadler

Dataset DOI

10.18112/openneuro.ds000113.v1.3.0

License

Acknowledgements

How to Acknowledge

Funding

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Ethics Approvals

How To Cite

Copy
Michael Hanke and Florian J. Baumgartner and Pierre Ibe and Falko R. Kaule and Stefan Pollmann and Oliver Speck and Wolf Zinke and Jorg Stadler (2018). Forrest Gump. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000113.v1.3.0
More citation info

Forrest Gump

uploaded by Joseph Wexler on 2018-08-12 - almost 3 years ago
last modified on 2018-08-21 - almost 3 years ago
authored by Michael Hanke, Florian J. Baumgartner, Pierre Ibe, Falko R. Kaule, Stefan Pollmann, Oliver Speck, Wolf Zinke, Jorg Stadler
148140364

README

Note: This dataset is the combination of four related datasets that were originally hosted on OpenfMRI.org: ds000113, ds000113b, ds000113c and ds000113d. The combined dataset is now in BIDS format and is simply referred to as ds000113 on OpenNeuro.org.

For more information about the project visit: http://studyforrest.org

This dataset contains high-resolution functional magnetic resonance (fMRI) data from 20 participants recorded at high field strength (7 Tesla) during prolonged stimulation with an auditory feature film ("Forrest Gump''). In addition, a comprehensive set of auxiliary data (T1w, T2w, DTI, susceptibility-weighted image, angiography) as well as measurements to assess technical and physiological noise components have been acquired. An initial analysis confirms that these data can be used to study common and idiosyncratic brain response pattern to complex auditory stimulation. Among the potential uses of this dataset is the study of auditory attention and cognition, language and music perception as well as social perception. The auxiliary measurements enable a large variety of additional analysis strategies that relate functional response patterns to structural properties of the brain. Alongside the acquired data, we provide source code and detailed information on all employed procedures — from stimulus creation to data analysis. (https://www.nature.com/articles/sdata20143)

The dataset also contains data from the same twenty participants while being repeatedly stimulated with a total of 25 music clips, with and without speech content, from five different genres using a slow event-related paradigm. It also includes raw fMRI data, as well as pre-computed structural alignments for within-subject and group analysis.

Additionally, seven of the twenty subjects participated in another study: empirical ultra high-field fMRI data recorded at four spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) for orientation decoding in visual cortex — in order to test hypotheses on the strength and spatial scale of orientation discriminating signals. (https://www.sciencedirect.com/science/article/pii/S2352340917302056)

Finally, there are additional acquisitions for fifteen of the the twenty participants: retinotopic mapping, a localizer paradigm for higher visual areas (FFA, EBA, PPA), and another 2 hour movie recording with 3T full-brain BOLD fMRI with simultaneous 1000 Hz eyetracking.

For more information about the project visit: http://studyforrest.org

Dataset content overview

Stimulus material and protocol descriptions

./sourcedata/acquisition_protocols/04-sT1W_3D_TFE_TR2300_TI900_0_7iso_FS.txt ./sourcedata/acquisition_protocols/05-sT2W_3D_TSE_32chSHC_0_7iso.txt ./sourcedata/acquisition_protocols/06-VEN_BOLD_HR_32chSHC.txt ./sourcedata/acquisition_protocols/07-DTI_high_2iso.txt ./sourcedata/acquisition_protocols/08-field_map.txt Philips-specific MRI acquisition parameters dumps (plain text) for structural MRI (T1w, T2w, SWI, DTI, fieldmap -- in this order)

./sourcedata/acquisition_protocols/task01_fmri_session1.pdf ./sourcedata/acquisition_protocols/task01_fmri_session2.pdf ./sourcedata/acquisition_protocols/angio_session.pdf Siemens-specific MRI acquisition parameters dumps (PDF format) for functional MRI and angiography.

./stimuli/annotations/german_audio_description.csv

Audio-description transcript

This transcript contains all information on the audio-movie content that cannot be inferred from the DVD release — in a plain text, comma-separated-value table. Start and end time stamp, as well as the spoken text are provided for each continuous audio description segment.

./stimuli/annotations/scenes.csv

Movie scenes

A plain text, comma-separated-value table with start and end time for all 198 scenes in the presented movie cut. In addition, each table row contains whether a scene takes place indoors or outdoors.

./stimuli/generate/generate_melt_cmds.py Python script to generate commands for stimuli generation

./stimuli/psychopy/buttons.csv ./stimuli/psychopy/forrest_gump.psyexp ./stimuli/psychopy/segment_cfg.csv Source code of the stimuli presentation in PsychoPy

Functional imaging - Forrest Gump Task

Prolonged quasi-natural auditory stimulation (Forrest Gump audio movie)

Eight approximately 15 min long recording runs, together comprising the entire duration of a two-hour presentation of an audio-only version of the Hollywood feature film "Forrest Gump" made for a visually impaired audience (German dubbing).

For each run, there are 4D volumetric images (160x160x36)in NIfTI format , one volume recorded every 2 s, obtain from a Siemens MR scanner at 7 Tesla using a T2*-weighted gradient-echo EPI sequence (1.4 mm isotropic voxel size). These images have partial brain coverage — centered on the auditory cortices in both brain hemispheres and include frontal and posterior portions of the brain. There is no coverage for the upper portion of the brain (e.g. large parts of motor and somato-sensory cortices).

Several flavors of raw and preprocessed data are available:

Raw BOLD functional MRI ~~~

These raw data suffer from severe geometric distortions.

Filename examples for subject 01 and run 01

./sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold.nii.gz BOLD data

./sourcedata/dicominfo/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

Raw BOLD functional MRI (with applied distortion correction)

Identical to raw BOLD data, but with a scanner-side correction for geometric distortions applied (also include correction for participant motion). These data are most suitable for analysis of individual brains.

Filename examples for subject 01 and run 01

./sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold.nii.gz BOLD data

./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-dico_run-01_moco_ref.nii.gz Reference volume used for motion correction. Only runs 1 and 5 (first runs in each session)

./sourcedata/dicominfo/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

Raw BOLD functional MRI (linear anatomical alignment) ~

These images are motion and distortion corrected and have been anatomically aligned to a BOLD group template image that was generated from the entire group of participants.

Alignment procedure was linear (image projection using an affine transformation). These data are most suitable for group-analyses and inter-individual comparisons.

Filename examples for subject 01 and run 01

./derivatives/linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7Tad_run-01_bold.nii.gz BOLD data

./derivatives/linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadBrainMask_run-01_bold.nii.gz Matching brain mask volume

./derivatives/linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-XFMdico7Tad2grpbold7Tad_run-01_bold.mat 4x4 affine transformation matrix (plain text format)

Raw BOLD functional MRI (non-linear anatomical alignment) ~

These images are motion and distortion corrected and have been anatomically aligned to a BOLD group template image that was generated from the entire group of participants.

Alignment procedure was non-linear (image projection using an affine transformation with additional transformation by non-linear warpfields). These data are most suitable for group-analyses and inter-individual comparisons.

Filename examples for subject 01 and run 01

./derivatives/non-linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadNL_run-01_bold.nii.gz BOLD data

./derivatives/non-linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadBrainMaskNLBrainMask_run-01_bold.nii.gz Matching brain mask volume

./derivatives/non-linear_anatomical_alignment/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_task-forrestgump_rec-dico7Tad2grpbold7TadNLWarp_run-01_bold.nii.gz Warpfield (associated affine transformation is identical with "linear" alignment

Functional imaging - Auditory Perception Session --------------------------------------------- Participants were repeatedly stimulated with a total of 25 music clips, with and without speech content, from five different genres using a slow event-related paradigm.

Filename examples for subject 01 and run 01

./sub-01/ses-auditoryperception/func/sub-01_ses-auditoryperception_task-auditoryperception_run-01_bold.nii.gz ./sub-01/ses-auditoryperception/func/sub-01_ses-auditoryperception_task-auditoryperception_run-01_events.tsv

Functional imaging - Localizer Session --------------------------------------------- Filename examples for subject 01 and run 01

./sub-01/ses-localizer/func/sub-01_ses-localizer_task-movielocalizer_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-movielocalizer_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-objectcategories_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-objectcategories_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapccw_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapccw_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapclw_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapclw_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapcon_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapcon_run-1_defacemask.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapexp_run-1_bold.nii.gz ./sub-01/ses-localizer/func/sub-01_ses-localizer_task-retmapexp_run-1_defacemask.nii.gz

Functional imaging - Movie Session --------------------------------------------- Filename examples for subject 01 and run 01

./sub-01/ses-movie/func/sub-01_ses-movie_task-movie_run-1_bold.nii.gz ./sub-01_ses-movie_task-movie_run-1_defacemask.nii.gz ./sub-01_ses-movie_task-movie_run-1_events.tsv

Functional imaging - Coverage and Orientation Tasks --------------------------------------------- Filename examples for subject 06, ses-r08 and run 01

./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_rec-dico_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_rec-dico_run-01_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_run-01_bold.nii.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_run-01_events.tsv

Structural MRI data (T1w, T2w, SWI)

T1-weighted images (gray-white contrast)

Full-brain volumetric images (384x384x274) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a 3D TFE sequence (0.67 mm isotropic voxel size). Facial features have been removed from these images for de-identification.

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T1w.nii.gz Data

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T1w_dicominfo.txt Image property dump from DICOM conversion

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_mod-T1w_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

T2-weighted images (fluid-tissue contrast) ~~

Full-brain volumetric images (384x384x274) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a 3D TSE sequence (0.67 mm isotropic voxel size). Facial features have been removed from these images for de-identification.

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T2w.nii.gz Data

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_mod-T2w_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_T2w_dicominfo.txt Image property dump from DICOM conversion

Susceptibility-weighted images (venography) ~~~

Full-brain volumetric images (512x512x500) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a 3D Presto FFE sequence (0.43x0.43x0.35 mm voxel size). Facial features have been removed from these images for de-identification. Separate phase and magnitude images are provided.

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-mag_veno.nii.gz Magnitude image

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-mag_mod-veno_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-mag_veno_dicominfo.txt Image property dump from DICOM conversion

./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-pha_mod-veno_defacemask.nii.gz ./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-pha_veno_dicominfo.txt ./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_acq-pha_veno.nii.gz Corresponding files for the phase image

Diffusion tensor imaging data

Full-brain volumetric images (144x144x70) in NIfTI format recorded with a Philips MR scanner at 3 Tesla using a diffusion-weighted single-shot spin-echo EPI sequence (2 mm isotropic voxel size). Facial features have been removed from these images for de-identification. Records of B-values and B-vector orientations are provided, as well as a fieldmap (3 mm isotropic voxel size) for distortion correction

./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_dwi.nii.gz DTI data

./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_dwi.bval ./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_dwi.bvec B-values and orientations (plain text)

./sub-01/ses-forrestgump/dwi/sub-01_ses-forrestgump_mod-dwi_defacemask.nii.gz Binary mask indicating voxels modified during de-facing

./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_mod-magnitude1_defacemask.nii.gz ./sourcedata/dicominfo/sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_magnitude1_dicominfo.txt ./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_magnitude1.nii.gz ./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_mod-phasediff_defacemask.nii.gz ./sourcedata/dicominfo/sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_phasediff_dicominfo.txt ./sub-01/ses-forrestgump/fmap/sub-01_ses-forrestgump_phasediff.nii.gz Fieldmap files (analog filename to SWI images)

Physiological recordings and fMRI motion estimates

Participant motion estimates

These data have been estimated from the raw BOLD images prior to distortion correction. Files are provided in a six-column plain text format for each fMRI scanning run separately.

Example filenames for subject 01:

./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-01_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-02_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-03_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-04_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-05_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-06_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-07_bold_moco.txt ./derivatives/motion/sub-01/ses-forrestgump/func/sub-01_ses-forrestgump_acq-dico_run-08_bold_moco.txt

Cardiac and respiratory trace (physiological confounds) ~~~

These data have been obtain simultaneously to the fMRI recording. Files are in plain text format (compressed) for each scanning run separately and includes the MR scanner's volume acquisition trigger signal for precise temporal alignment. These data are useful for de-noising of fMRI time series.

Example filenames for subject 06 and run 01:

./sub-06/ses-forrestgump/func/sub-06_ses-forrestgump_task-forrestgump_run-01_physio.tsv.gz ./sub-06/ses-auditoryperception/func/sub-06_ses-auditoryperception_task-auditoryperception_run-01_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-movielocalizer_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-objectcategories_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapccw_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapclw_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapcon_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-localizer/func/sub-06_ses-localizer_task-retmapexp_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-movie/func/sub-06_ses-movie_task-movie_run-1_recording-cardresp_physio.tsv.gz ./sub-06/ses-movie/func/sub-06_ses-movie_task-movie_run-1_recording-eyegaze_physio.tsv.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_rec-dico_recording-motion_physio.tsv.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-orientation_rec-dico_run-01_recording-motion_physio.tsv.gz ./sub-06/ses-r08/func/sub-06_ses-r08_task-coverage_rec-dico_recording-motion_physio.tsv.gz

./derivatives/physio_logs/sub-06/ses-forrestgump/func/sub-06_ses-forrestgump_task-forrestgump_run-01_physio_conversion.log Conversion log with information on potential anomalies

Time-of-flight inflow angiography (arteriography)

Volumetric images (640x480x150) in NIfTI format recorded with a Siemens MR scanner at 7 Tesla using a 3D multi-slab sequence (0.3 mm isotropic voxel size). These images have partial brain coverage — approximately the same volume as the functional MRI scans.

./sourcedata/dicominfo/sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_angio_dicominfo.txt ./sub-01/ses-forrestgump/anat/sub-01_ses-forrestgump_angio.nii.gz

Phantom raw BOLD fMRI

Identical imaging set up as the auditory stimulation fMRI, but scanning a gel phantom instead of a human participant. This data is a measurement of the technical noise in the fMRI acquisition pipeline.

These data are also contained in the respective BOLD data tarballs.

Example filenames for run01:

./sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold.nii.gz Raw BOLD data

./sourcedata/dicominfo/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-raw_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

./sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold.nii.gz Motion and distortion-corrected data

./sourcedata/dicominfo/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold_dicominfo.txt Image property dump from DICOM conversion

./derivatives/motion/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_bold_moco.txt Motion correction estimates

./derivatives/motion/sub-phantom/ses-forrestgump/func/sub-phantom_ses-forrestgump_task-forrestgump_acq-dico_run-01_moco_ref.nii.gz Motion correction reference volume (only run 1 and 5)

Group template volumes

Group-template images for anatomical alignment of individual brains into group space. Individual template images are provided for BOLD, T1w, and T2w images.

T1w template:

./derivatives/templates/t1w/head.nii.gz Template image

./derivatives/templates/t1w/brain.nii.gz Brain extracted template image

./derivatives/templates/t1w/in_mni/brain_12dof.nii.gz Brain extracted template image projected into MNI space

./derivatives/templates/t1w/xfm/mni2tmpl_12dof.mat ./derivatives/templates/t1w/xfm/tmpl2mni_12dof.mat Affine transformation matrices from template into MNI space (and back)

./derivatives/templates/t1w/from_mni/MNI152_T1_1mm_brain_mask_dil.nii.gz ./derivatives/templates/t1w/from_mni/MNI152_T1_1mm_brain_mask.nii.gz ./derivatives/templates/t1w/from_mni/MNI152_T1_1mm.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_brain.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_csf.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_gray.nii.gz ./derivatives/templates/t1w/from_mni/avg152T1_white.nii.gz MNI152 template images (masks and prior maps) projected into the template space

T2w template:

./derivatives/templates/t2w/brain.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_brain.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_csf.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_gray.nii.gz ./derivatives/templates/t2w/from_mni/avg152T1_white.nii.gz ./derivatives/templates/t2w/from_mni/MNI152_T1_1mm_brain_mask_dil.nii.gz ./derivatives/templates/t2w/from_mni/MNI152_T1_1mm_brain_mask.nii.gz ./derivatives/templates/t2w/from_mni/MNI152_T1_1mm.nii.gz ./derivatives/templates/t2w/head.nii.gz ./derivatives/templates/t2w/in_mni/brain_12dof.nii.gz ./derivatives/templates/t2w/xfm/mni2tmpl_12dof.mat ./derivatives/templates/t2w/xfm/tmpl2mni_12dof.mat Files analog to T1w template

BOLD template:

./derivatives/templates/grpbold7Tad/brain.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_brain.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_csf.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_gray.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/avg152T1_white.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/MNI152_T1_1mm_brain_mask_dil.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/MNI152_T1_1mm_brain_mask.nii.gz ./derivatives/templates/grpbold7Tad/from_mni/MNI152_T1_1mm.nii.gz ./derivatives/templates/grpbold7Tad/head.nii.gz ./derivatives/templates/grpbold7Tad/in_mni/brain_12dof.nii.gz ./derivatives/templates/grpbold7Tad/xfm/mni2tmpl_12dof.mat ./derivatives/templates/grpbold7Tad/xfm/tmpl2mni_12dof.mat Files analog to T1w template

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad/aligned_brain_samples.nii.gz 4D volume with all aligned reference images across runs and participants. For QA.

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad/brain_mask_stats.nii.gz Brain mask overlap stats for linear alignment of all individual fMRI runs across participants to the BOLD template.

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad/brain_mask_intersection.nii.gz Brain mask intersection across all runs and participants

./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad_nl/aligned_brain_samples.nii.gz ./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad_nl/brain_mask_intersection.nii.gz ./derivatives/templates/grpbold7Tad/qa/dico7Tad2grpbold7Tad_nl/brain_mask_stats.nii.gz Analog files for non-linear alignment

Authors

  • Michael Hanke
  • Florian J. Baumgartner
  • Pierre Ibe
  • Falko R. Kaule
  • Stefan Pollmann
  • Oliver Speck
  • Wolf Zinke
  • Jorg Stadler

Dataset DOI

10.18112/openneuro.ds000113.v1.3.0

License

Acknowledgements

How to Acknowledge

Funding

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Ethics Approvals

How To Cite

Copy
Michael Hanke and Florian J. Baumgartner and Pierre Ibe and Falko R. Kaule and Stefan Pollmann and Oliver Speck and Wolf Zinke and Jorg Stadler (2018). Forrest Gump. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000113.v1.3.0
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By michael.hanke@gmail.com - almost 2 years ago
Note to potential users of this dataset: This combined dataset is frequently treated (and cited) as the canonical source of the studyforrest dataset. Unfortunately, the data descriptor manuscripts linked above do not describe the data structure that is offered here. Instead they refer to the original publication on OpenfMRI. This has led to some confusion and misattribution of acquisition and stimulation methods for some parts of the combined dataset. Users are advised to cross-check all information with the data descriptor manuscripts. For comparison, all individual studyforrest dataset parts are available in their original granularity via https://github.com/psychoinformatics-de?q=studyforrest-data for access via https://www.datalad.org . A comprehensive list of (data) publications can be found at http://studyforrest.org/publications.html
By sarahooshmand94@gmail.com - almost 2 years ago
biomechanical modelling