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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 (...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6602933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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