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

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 (...

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Autores principales: Botvinik-Nezer, Rotem, Iwanir, Roni, Holzmeister, Felix, Huber, Jürgen, Johannesson, Magnus, Kirchler, Michael, Dreber, Anna, Camerer, Colin F., Poldrack, Russell A., Schonberg, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602933/
https://www.ncbi.nlm.nih.gov/pubmed/31263104
http://dx.doi.org/10.1038/s41597-019-0113-7
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author Botvinik-Nezer, Rotem
Iwanir, Roni
Holzmeister, Felix
Huber, Jürgen
Johannesson, Magnus
Kirchler, Michael
Dreber, Anna
Camerer, Colin F.
Poldrack, Russell A.
Schonberg, Tom
author_facet Botvinik-Nezer, Rotem
Iwanir, Roni
Holzmeister, Felix
Huber, Jürgen
Johannesson, Magnus
Kirchler, Michael
Dreber, Anna
Camerer, Colin F.
Poldrack, Russell A.
Schonberg, Tom
author_sort Botvinik-Nezer, Rotem
collection PubMed
description 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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spelling pubmed-66029332019-07-02 fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study Botvinik-Nezer, Rotem Iwanir, Roni Holzmeister, Felix Huber, Jürgen Johannesson, Magnus Kirchler, Michael Dreber, Anna Camerer, Colin F. Poldrack, Russell A. Schonberg, Tom Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-07-01 /pmc/articles/PMC6602933/ /pubmed/31263104 http://dx.doi.org/10.1038/s41597-019-0113-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Botvinik-Nezer, Rotem
Iwanir, Roni
Holzmeister, Felix
Huber, Jürgen
Johannesson, Magnus
Kirchler, Michael
Dreber, Anna
Camerer, Colin F.
Poldrack, Russell A.
Schonberg, Tom
fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
title fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
title_full fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
title_fullStr fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
title_full_unstemmed fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
title_short fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
title_sort fmri data of mixed gambles from the neuroimaging analysis replication and prediction study
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602933/
https://www.ncbi.nlm.nih.gov/pubmed/31263104
http://dx.doi.org/10.1038/s41597-019-0113-7
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