ACPI

该数据集记录了功能性磁共振成像(fMRI)数据，旨在对62名有大麻使用记录的患者和64名健康对照组进行分类。数据在处理过程中包含了700个时间信号步长和200个感兴趣区域(ROI)节点。该数据集的规模为700个时间信号步长和200个ROI节点，其任务是进行脑疾病检测。

This dataset collects functional magnetic resonance imaging (fMRI) data for the classification task of 62 patients with a history of cannabis use and 64 healthy control individuals. The processed fMRI data consists of 700 temporal signal steps and 200 regions of interest (ROI) nodes, with the dataset's scale determined by these two dimensions. The primary task of this dataset is brain disease detection.