Benchmark fMRI Dataset

该数据集是一个单一受试者在执行视觉运动注意力任务时的基准功能性磁共振成像（fMRI）数据集，包含了4次运行的fMRI扫描。图像经过平滑处理、空间标准化、重新对齐以及切片时间校正。数据集包括4次运行，每个运行的前10次扫描被丢弃，以消除不希望的磁效应。该数据集的规模为单一受试者，任务内容是关注视觉运动。

This dataset is a baseline functional magnetic resonance imaging (fMRI) dataset collected from a single participant during a visual motion attention task, comprising 4 runs of fMRI scans. The raw images have undergone preprocessing steps including spatial smoothing, spatial normalization, realignment, and slice timing correction. The dataset includes 4 runs, where the first 10 scans of each run are discarded to eliminate unwanted magnetic artifacts. This is a single-subject dataset with the task focusing on visual motion attention.