ADHD-200

该数据集名为ADHD200，包含了来自8个独立成像机构的904个静息态功能性磁共振成像（fMRI）和解剖学数据集，其中既包括典型发展个体的数据，也包含注意力缺陷多动障碍（ADHD）患者的数据。所有数据均使用雅典娜管道进行预处理，包括去颅、运动校正和标准化等步骤。这些数据集均为匿名，符合健康保险便携与责任法案（HIPAA）的指导原则。数据规模涉及554名典型发展个体和350名年龄在7至12岁之间的ADHD患者。研究任务是从功能性磁共振成像数据中识别动态的功能性大脑网络。

The dataset is named ADHD200, which includes 904 resting-state functional magnetic resonance imaging (fMRI) and anatomical datasets from 8 independent imaging institutions. The datasets cover data from both typically developing individuals and patients with attention-deficit/hyperactivity disorder (ADHD). All data were preprocessed using the Athena pipeline, with steps including skull stripping, motion correction and spatial normalization. All datasets are anonymized and comply with the guidelines of the Health Insurance Portability and Accountability Act (HIPAA). The dataset involves 554 typically developing individuals and 350 ADHD patients aged 7 to 12 years old. The research task is to identify dynamic functional brain networks from fMRI data.

搜集汇总

背景与挑战

背景概述

ADHD-200数据集是一个开放的神经影像数据集，旨在促进对ADHD神经基础的研究。它包含了776个静息态fMRI和解剖数据集，覆盖了ADHD患者和正常发育个体，并提供了丰富的表型信息，支持非商业研究用途。