期刊
NEUROIMAGE
卷 124, 期 -, 页码 1175-1181出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2015.05.075
关键词
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资金
- NIH [5-U24-NS-063930-05, 1K01ES025436-01]
- NIH NINDS [P20 NS12006]
- NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [K01ES025436] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [P20NS080181, U24NS063930] Funding Source: NIH RePORTER
There has been an increasing effort to correlate electrophysiology data with imaging in patients with refractory epilepsy over recent years. IEEG.org provides a free-access, rapidly growing archive of imaging data combined with electrophysiology data and patient metadata. It currently contains over 1200 human and animal datasets, with multiple data modalities associated with each dataset (neuroimaging, EEG, EKG, de-identified clinical and experimental data, etc.). The platform is developed around the concept that scientific data sharing requires a flexible platform that allows sharing of data from multiple file formats. IEEG.org provides high- and low-level access to the data in addition to providing an environment in which domain experts can find, visualize, and analyze data in an intuitive manner. Here, we present a summary of the current infrastructure of the platform, available datasets and goals for the near future. (C) 2015 Elsevier Inc. All rights reserved.
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