데이터 공유의 현재와 미래 : 뇌 자기공명영상 저장소Now and Future of Data Sharing : Brain Magnetic Resonance Imaging Repositories
- Other Titles
- Now and Future of Data Sharing : Brain Magnetic Resonance Imaging Repositories
- Authors
- 남궁은; 김승희; 황재욱
- Issue Date
- 2019
- Publisher
- 대한생물치료정신의학회
- Keywords
- Magnetic resonance imaging; Data sharing; Neuroscience; 자기공명영상; 데이터 공유; 신경과학
- Citation
- 생물치료정신의학, v.25, no.1, pp.13 - 27
- Journal Title
- 생물치료정신의학
- Volume
- 25
- Number
- 1
- Start Page
- 13
- End Page
- 27
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5277
- DOI
- 10.22802/jksbtp.2019.25.1.13
- ISSN
- 1225-9454
- 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.
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Collections - College of Medicine > Department of Psychiatry > 1. Journal Articles
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