4.7 Article Data Paper

fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study

Journal

SCIENTIFIC DATA
Volume 6, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41597-019-0113-7

Keywords

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Funding

  1. Austrian Science Fund [P29362-G27, Y617-G11]
  2. Israel Science Foundation (ISF)
  3. Swedish Foundation for Humanities and Social Sciences [NHS14-1719:1]
  4. Knut and Alice Wallenberg Foundation
  5. Jan Wallander and Tom Hedelius Foundation [P18-0073]
  6. Alfred P. Sloan Foundation [G-2018-11259]
  7. Laura and John Arnold Foundation
  8. Swedish Foundation for Humanities and Social Sciences [NHS14-1719:1] Funding Source: Swedish Foundation for Humanities and Social Sciences

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There is an ongoing debate about the replicability of neuroimaging research. It was suggested that one of the main reasons for the high rate of false positive results is the many degrees of freedom researchers have during data analysis. In the Neuroimaging Analysis Replication and Prediction Study (NARPS), we aim to provide the first scientific evidence on the variability of results across analysis teams in neuroscience. We collected fMRI data from 108 participants during two versions of the mixed gambles task, which is often used to study decision-making under risk. For each participant, the dataset includes an anatomical (T1 weighted) scan and fMRI as well as behavioral data from four runs of the task. The dataset is shared through OpenNeuro and is formatted according to the Brain Imaging Data Structure (BIDS) standard. Data pre-processed with fMRIprep and quality control reports are also publicly shared. This dataset can be used to study decision-making under risk and to test replicability and interpretability of previous results in the field.

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