fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
复制标题
DOI：
10.1038/s41597-019-0113-7
复制
发表时间：
2019-07-01
期刊：
影响因子：
9.8
通讯作者：
Schonberg, Tom
中科院分区：
文献类型：
--
作者：
Botvinik-Nezer, Rotem;Iwanir, Roni;Schonberg, Tom
关于神经影像学研究的可复制性一直存在争议。有人认为，假阳性结果率高的主要原因之一是研究人员在数据分析过程中有许多自由度。在神经影像分析复制和预测研究（NARPS）中，我们的目标是提供第一个关于神经科学分析团队之间结果差异的科学证据。我们在两个版本的混合赌博任务中收集了108名参与者的fMRI数据，该任务通常用于研究风险下的决策。对于每个参与者，数据集包括解剖（T1加权）扫描和fMRI以及来自四次任务运行的行为数据。数据集通过OpenNeuro共享，并根据脑成像数据结构（BIDS）标准进行格式化。使用fMRI制备和质量控制报告预处理的数据也公开共享。该数据集可用于研究风险下的决策，并测试该领域先前结果的可复制性和可解释性。
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.