Big data sharing and analysis to advance research in post-traumatic epilepsy
Dominique Duncan, Paul Vespa, Asla Pitkänen and 3 more
Neurobiology of Disease · 2019
doi:10.1016/j.nbd.2018.05.026 (opens in a new tab)
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Abstract
We describe the infrastructure and functionality for a centralized preclinical and clinical data repository and analytic platform to support importing heterogeneous multi-modal data, automatically and manually linking data across modalities and sites, and searching content. We have developed and applied innovative image and electrophysiology processing methods to identify candidate biomarkers from MRI, EEG, and multi-modal data. Based on heterogeneous biomarkers, we present novel analytic tools designed to study epileptogenesis in animal model and human with the goal of tracking the probability of developing epilepsy over time.
Abstract licence: CC BY-NC
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