Preprocessed ABIDE Dataset
ABIDE Dataset Description
ABIDE(Autism Brain Imaging Data Exchange) Dataset 1 contains 1112 dataset, including 539 from individuals with ASD and 573 from typical controls (ages 7-64 years, median 14.7 years across groups).
Acquisition protocol
- Resting state fMRI (R-fMRI)
- Anatomical dataset
- phenotypic dataset
Scanning Location
- involving 17 international sites
Dataset Reference
For more detailed information and download, please refer to the official website of ABIDE project
Preprocessing
The T1 MRI data were used and preprocessed to generate normalised brain volume maps. The grey matter (GM) and white matter (WM) images were analyzed together.
Steps
- AC-PC Realignment
- GM, WM Tissue Segmentation
- Non-linear registration to MNI152 space
- Normalization
- Resampling
- modulation
- 4mm Smoothing
Results
The result, normalized brain volume map, has shape of 121x145x121. Each voxel in the volume map represent regional volume of tissue.
Software Environment
All images were pre-processed using SPM12 in the MATLAB R2018a environment. DARTEL which is one of the SPM extension was used for normalization, non-linear registeration, resampling, modulation and smoothing step.
Preprocessing Reference
We followed the protocol from the paper "Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker" by James H. Cole et al. For the very detailed preprocessing tutorial of Voxel-based Morphometry(VBM), see here
Download
Before we upload the preprocessed data to the Server of XAI Center, we can access to the dataset through this temporary link
Acknowledgement
Project Name
A machine learning and statistical inference framework for explainable artificial intelligence(의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)
Managed by
Ministry of Science and ICT/XAIC
Participated Affiliation
UNIST, Korea Univ., Yonsei Univ., KAIST., AItrics
Web Site
LICENSE
This data is made available under the Creative Commons CC BY-SA 3.0 license.