CONP Portal | Dataset


Learning Naturalistic Structure: Processed fMRI dataset
Creators: DuPre, Elizabeth
Licenses: other-pd
Version: 0.1.0
Formats: TSV NIfTI TXT
Size: 13.9 GB
No of Files: 240
Metadata file: DATS.json
Description:

This data was obtained from OpenNeuro as ds001545. We would like to thank the authors for their generosity in sharing their data, and we point interested users towards their paper describing its acquisition:

Aly M, Chen J, Turk-Browne NB, & Hasson U (2018). Learning naturalistic temporal structure in the posterior medial network. Journal of Cognitive Neuroscience, 30(9): 1345-1365.


Experimental design

In this dataset, subjects were scanned while watching repeated presentations of intact and scrambled clips from Wes Anderson's 2014 film, The Grand Budapest Hotel. Scrambled clips were presented in either a 'fixed' (i.e., consistent scrambling from run to run) or 'random' (i.e., random scrambling from run to run) condition. An overview of the experimental design is shown in this figure from Aly and colleagues (2018)

Preprocessing

After downloading from OpenNeuro using DataLad, data was preprocessed using fMRIPrep 1.5.0rc1. A complete transcript of the fMRIPrep processing is available as a README file in the repository. Post-processing was performed using Nilearn. Briefly, functional files were masked with the fMRIPrep-derived brain mask and trimmed to discard non-steady state volumes. Please see the README for further details.

Dataset README information

README.md

Learning Naturalistic Structure: Processed fMRI dataset

DOI

Crawled from Zenodo

Description

This data was obtained from OpenNeuro as ds001545. We would like to thank the authors for their generosity in sharing their data, and we point interested users towards their paper describing its acquisition:

>
> Aly M, Chen J, Turk-Browne NB, & Hasson U (2018). Learning naturalistic temporal structure in the posterior medial network. Journal of Cognitive Neuroscience, 30(9): 1345-1365.
>


Experimental design

In this dataset, subjects were scanned while watching repeated presentations of intact and scrambled clips from Wes Anderson's 2014 film, The Grand Budapest Hotel. Scrambled clips were presented in either a 'fixed' (i.e., consistent scrambling from run to run) or 'random' (i.e., random scrambling from run to run) condition. An overview of the experimental design is shown in this figure from Aly and colleagues (2018)

Preprocessing

After downloading from OpenNeuro using DataLad, data was preprocessed using fMRIPrep 1.5.0rc1. A complete transcript of the fMRIPrep processing is available as a README file in the repository. Post-processing was performed using Nilearn. Briefly, functional files were masked with the fMRIPrep-derived brain mask and trimmed to discard non-steady state volumes. Please see the README for further details.

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.

Note: The conp-dataset requires version >=0.12.5 of DataLad and version >=8.20200309 of git-annex.

To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).

1) Initiate the CONP dataset

To initiate the CONP dataset (conp-dataset), run the following command in the directory where you want CONP datasets to be installed:

datalad install https://github.com/CONP-PCNO/conp-dataset.git

2) Install the Learning_Naturalistic_Structure__Processed_fMRI_dataset dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset Learning_Naturalistic_Structure__Processed_fMRI_dataset:

cd conp-dataset
datalad install projects/Learning_Naturalistic_Structure__Processed_fMRI_dataset

3) Download the Learning_Naturalistic_Structure__Processed_fMRI_dataset dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/Learning_Naturalistic_Structure__Processed_fMRI_dataset.

cd projects/Learning_Naturalistic_Structure__Processed_fMRI_dataset

Note that files visible in the dataset are symlinks and will need to be downloaded manually using the datalad get command in the dataset directory:

datalad get <filepath>

Note, if you run datalad get * command, all the files present in the dataset directory will be downloaded.

For more information on how DataLad works, please visit the DataLad Handbook documentation .