Differential contributions of ventral striatum subregions in the motivational and hedonic components of the affective response to reward

uploaded by David Munoz Tord on 2021-01-26 - 5 months ago
last modified on 2021-05-02 - about 2 months ago
authored by Eva R. Pool, David Munoz Tord, Sylvain Delplanque, Yoann Stussi, Donato Cereghetti, Patrik Vuilleumier, David Sander
01301186
We found 3 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-01/ses-first/beh/sub-01_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 44.915254 NaN NaN

/sub-02/ses-first/beh/sub-02_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.000000 NaN NaN

/sub-03/ses-first/beh/sub-03_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.847458 NaN NaN

/sub-04/ses-first/beh/sub-04_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 8.474576 NaN NaN

/sub-05/ses-first/beh/sub-05_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 73.728814 NaN NaN

/sub-06/ses-first/beh/sub-06_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 29.661017 NaN NaN

/sub-07/ses-first/beh/sub-07_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.000000 NaN NaN

/sub-09/ses-first/beh/sub-09_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 28.813559 NaN NaN

/sub-10/ses-first/beh/sub-10_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.000000 NaN NaN

/sub-11/ses-first/beh/sub-11_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 60.169492 NaN NaN

and 14 more files

/sub-01/ses-second/func/sub-01_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,409 (voxels).

/sub-02/ses-second/func/sub-02_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,410 (voxels).

/sub-03/ses-second/func/sub-03_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,408 (voxels).

/sub-04/ses-second/func/sub-04_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,418 (voxels).

/sub-07/ses-second/func/sub-07_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,408 (voxels).

/sub-09/ses-second/func/sub-09_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,413 (voxels).

/sub-10/ses-second/func/sub-10_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,408 (voxels).

/sub-11/ses-second/func/sub-11_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,410 (voxels).

/sub-12/ses-second/func/sub-12_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,409 (voxels).

/sub-21/ses-second/func/sub-21_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,409 (voxels).

and 5 more files

/sub-01/ses-second/fmap/sub-01_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-02/ses-second/fmap/sub-02_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-03/ses-second/fmap/sub-03_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-04/ses-second/fmap/sub-04_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-05/ses-second/fmap/sub-05_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-06/ses-second/fmap/sub-06_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-07/ses-second/fmap/sub-07_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-09/ses-second/fmap/sub-09_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-10/ses-second/fmap/sub-10_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-11/ses-second/fmap/sub-11_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

and 14 more files

OpenNeuro Accession Number: ds003487
Files: 465, Size: 10.68GB, Subjects: 24, Sessions: 2
Available Tasks: PIT, hedonic
Available Modalities: events, T1w, magnitude, phasediff, bold, sbref

README

This is the data used for the following study:

Folders are organized in BIDS format. Within each subject folder (e.g. /sub-01/) there are subfolders with the following:

Ses-first/ a) beh - Behavioral results from first session outside the scanner conditioning (event.tsv) - Instrumental conditioning - Pavlovian Conditioning - Hedonic evaluation of stimuli

ses-second/ 1) anat - structural whole brain T1-weighted (T1w) images (isotropic voxel size = 1.0 mm) defaced

2) func - contains the raw BOLD timeseries (26 partial oblique axial T2*weighted EPI) with its associated behavioral data (event.tsv) used for the analysis. - PIT task, with odors as stimuli and uses a hand dynamometer to measure mobilized effort. - HEDONIC task, with odors as stimuli and uses visual analog scales to measure subjective liking and intensity ratings.

3) fmap - Dual gradient B0 field maps (Fmaps) used for preprocessing

Please note that you can find the preprocessed functional MRI data (smoothed and unsmoothed) used for our analysis into the /DERIVATIVES/PREPROC folder.

Also note that not all participants finished all tasks, or scans.

See paper for a description.

Authors

  • Eva R. Pool
  • David Munoz Tord
  • Sylvain Delplanque
  • Yoann Stussi
  • Donato Cereghetti
  • Patrik Vuilleumier
  • David Sander

Dataset DOI

10.18112/openneuro.ds003487.v2.0.0

License

CC0

Acknowledgements

How to Acknowledge

Funding

  • Research grant (EMODOR – project UN9046) from Firmenich SA

References and Links

Ethics Approvals

How To Cite

Copy
Eva R. Pool and David Munoz Tord and Sylvain Delplanque and Yoann Stussi and Donato Cereghetti and Patrik Vuilleumier and David Sander (2021). Differential contributions of ventral striatum subregions in the motivational and hedonic components of the affective response to reward. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003487.v2.0.0
More citation info

Differential contributions of ventral striatum subregions in the motivational and hedonic components of the affective response to reward

uploaded by David Munoz Tord on 2021-01-26 - 5 months ago
last modified on 2021-05-02 - about 2 months ago
authored by Eva R. Pool, David Munoz Tord, Sylvain Delplanque, Yoann Stussi, Donato Cereghetti, Patrik Vuilleumier, David Sander
01301186

OpenNeuro Accession Number: ds003487
Files: 465, Size: 10.68GB, Subjects: 24, Sessions: 2
Available Tasks: PIT, hedonic
Available Modalities: events, T1w, magnitude, phasediff, bold, sbref

README

This is the data used for the following study:

Folders are organized in BIDS format. Within each subject folder (e.g. /sub-01/) there are subfolders with the following:

Ses-first/ a) beh - Behavioral results from first session outside the scanner conditioning (event.tsv) - Instrumental conditioning - Pavlovian Conditioning - Hedonic evaluation of stimuli

ses-second/ 1) anat - structural whole brain T1-weighted (T1w) images (isotropic voxel size = 1.0 mm) defaced

2) func - contains the raw BOLD timeseries (26 partial oblique axial T2*weighted EPI) with its associated behavioral data (event.tsv) used for the analysis. - PIT task, with odors as stimuli and uses a hand dynamometer to measure mobilized effort. - HEDONIC task, with odors as stimuli and uses visual analog scales to measure subjective liking and intensity ratings.

3) fmap - Dual gradient B0 field maps (Fmaps) used for preprocessing

Please note that you can find the preprocessed functional MRI data (smoothed and unsmoothed) used for our analysis into the /DERIVATIVES/PREPROC folder.

Also note that not all participants finished all tasks, or scans.

See paper for a description.

Authors

  • Eva R. Pool
  • David Munoz Tord
  • Sylvain Delplanque
  • Yoann Stussi
  • Donato Cereghetti
  • Patrik Vuilleumier
  • David Sander

Dataset DOI

10.18112/openneuro.ds003487.v2.0.0

License

CC0

Acknowledgements

How to Acknowledge

Funding

  • Research grant (EMODOR – project UN9046) from Firmenich SA

References and Links

Ethics Approvals

How To Cite

Copy
Eva R. Pool and David Munoz Tord and Sylvain Delplanque and Yoann Stussi and Donato Cereghetti and Patrik Vuilleumier and David Sander (2021). Differential contributions of ventral striatum subregions in the motivational and hedonic components of the affective response to reward. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003487.v2.0.0
More citation info

Dataset File Tree

Git Hash: daf0d52 

BIDS Validation

We found 3 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-01/ses-first/beh/sub-01_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 44.915254 NaN NaN

/sub-02/ses-first/beh/sub-02_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.000000 NaN NaN

/sub-03/ses-first/beh/sub-03_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.847458 NaN NaN

/sub-04/ses-first/beh/sub-04_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 8.474576 NaN NaN

/sub-05/ses-first/beh/sub-05_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 73.728814 NaN NaN

/sub-06/ses-first/beh/sub-06_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 29.661017 NaN NaN

/sub-07/ses-first/beh/sub-07_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.000000 NaN NaN

/sub-09/ses-first/beh/sub-09_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 28.813559 NaN NaN

/sub-10/ses-first/beh/sub-10_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 50.000000 NaN NaN

/sub-11/ses-first/beh/sub-11_ses-first_task-pavconditioning_events.tsv

Missing value at column # 5

row 109: 0 0 109 Baseline NaN 60.169492 NaN NaN

and 14 more files

/sub-01/ses-second/func/sub-01_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,409 (voxels).

/sub-02/ses-second/func/sub-02_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,410 (voxels).

/sub-03/ses-second/func/sub-03_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,408 (voxels).

/sub-04/ses-second/func/sub-04_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,418 (voxels).

/sub-07/ses-second/func/sub-07_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,408 (voxels).

/sub-09/ses-second/func/sub-09_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,413 (voxels).

/sub-10/ses-second/func/sub-10_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,408 (voxels).

/sub-11/ses-second/func/sub-11_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,410 (voxels).

/sub-12/ses-second/func/sub-12_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,409 (voxels).

/sub-21/ses-second/func/sub-21_ses-second_task-hedonic_run-01_bold.nii

The most common set of dimensions is: 100,100,26,407 (voxels), This file has the dimensions: 100,100,26,409 (voxels).

and 5 more files

/sub-01/ses-second/fmap/sub-01_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-02/ses-second/fmap/sub-02_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-03/ses-second/fmap/sub-03_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-04/ses-second/fmap/sub-04_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-05/ses-second/fmap/sub-05_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-06/ses-second/fmap/sub-06_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-07/ses-second/fmap/sub-07_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-09/ses-second/fmap/sub-09_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-10/ses-second/fmap/sub-10_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-11/ses-second/fmap/sub-11_ses-second_run-01_phasediff.nii

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

and 14 more files

Dataset File Tree

Git Hash: daf0d52 

Comments

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