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

Rotem Botvinik-Nezer, Roni Iwanir, Felix Holzmeister, Jürgen Huber, Magnus Johannesson, Michael Kirchler, Anna Dreber, Colin F. Camerer, Russell A. Poldrack, Tom Schonberg*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number106
JournalScientific data
Volume6
Issue number1
DOIs
StatePublished - 1 Dec 2019

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