development fMRI dataset

Access

See nilearn.datasets.fetch_development_fmri.

Notes

This movie-watching based functional MRI dataset is used for teaching how to use machine learning to predict age from naturalistic stimuli (movie) watching with Nilearn.

The dataset consists of 50 children (ages 3-13) and 33 young adults (ages 18-39). This dataset can be used to try to predict who are adults and who are children.

The data is downsampled to 4mm resolution for convenience. The original data is downloaded from OpenNeuro.

For full information about pre-processing steps on raw-fMRI data, have a look at README at https://osf.io/wjtyq/

Full pre-processed data: https://osf.io/5hju4/files/

Raw data can be accessed from : https://openneuro.org/datasets/ds000228/versions/1.0.0

See Richardson et al.[1].

Content

‘func’:

functional MRI Nifti images (4D) per subject

‘confounds’:

TSV file contain nuisance information per subject

‘phenotypic’:

Phenotypic information for each subject such as age, age group, gender, handedness.

References

[1]

Hilary Richardson, Grace Lisandrelli, Alexa Riobueno-Naylor, and Rebecca Saxe. Development of the social brain from age three to twelve years. Nature communications, 9(1):1–12, 2018.

License

usage is unrestricted for non-commercial research purposes.