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

机译:来自神经影像分析复制和预测研究的混合赌博fMRI数据

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摘要

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.
机译:关于神经影像研究的可复制性的争论一直在进行。有人认为,假阳性结果发生率很高的主要原因之一是研究人员在数据分析过程中具有许多自由度。在神经影像分析复制和预测研究(NARPS)中,我们旨在为神经科学各个分析团队的结果变异性提供第一个科学证据。我们在两种版本的混合赌博任务中收集了来自108名参与者的fMRI数据,这些数据通常用于研究风险决策。对于每个参与者,数据集包括解剖(T1加权)扫描和fMRI以及该任务四次运行的行为数据。该数据集通过OpenNeuro共享,并根据“脑成像数据结构(BIDS)”标准进行格式化。使用fMRIprep预处理的数据和质量控制报告也可以公开共享。该数据集可用于研究有风险的决策,并测试该领域先前结果的可重复性和可解释性。

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