Now and Future of Data Sharing : Brain Magnetic Resonance Imaging Repositories
- Author:
Eun NAMGUNG
1
;
Seunghee KIM
;
Jaeuk HWANG
Author Information
1. Department of Brain and Cognitive Sciences, Ewha W. University, Seoul, Korea.
- Publication Type:Review
- Keywords:
Magnetic resonance imaging;
Data sharing;
Neuroscience
- MeSH:
Brain;
Dataset;
Foster Home Care;
Humans;
Information Dissemination;
Magnetic Resonance Imaging;
Neuroimaging;
Neurosciences;
Transcutaneous Electric Nerve Stimulation
- From:
Journal of the Korean Society of Biological Therapies in Psychiatry
2019;25(1):13-27
- CountryRepublic of Korea
- Language:English
-
Abstract:
Over the past decade, practice of sharing brain magnetic resonance imaging (MRI) data is increasing given significance of reproducibility and transparency in human neuroscience. Larger multimodal brain MRI databases are needed for more robust research findings considering potential possibilities of large variability in human neuroscience. There are currently more than tens of thousands of shared brain MRI datasets across multiple conditions and hundreds of neuroimaging studies using multimodality through shared brain MRI data repositories. This article critically reviews aims, procedures, and current state of brain MRI data sharing. This review focuses on projects and research findings using structural and functional MRI open databases and is further divided into T1- and diffusion-weighted images for structural MRI as well as resting-state and task-based functional MRI. The challenges and directions are finally discussed. Advances in brain MRI data sharing will lead to more rapid progression in human neuroscience by fostering effective longitudinal, multi-site, multimodal neuroimaging research.
