Big data sharing and analysis to advance research in post-traumatic epilepsy

被引：21

作者：

Duncan, Dominique ^{[1
]}

Vespa, Paul ^{[2
,3
]}

Pitkanen, Asla ^{[4
]}

Braimah, Adebayo ^{[1
]}

Lapinlampi, Niina ^{[4
]}

Toga, Arthur W. ^{[1
]}

机构：

[1] Univ Southern Calif, Keck Sch Med, USC Stevens Neuroimaging & Informat Inst, Lab Neuro Imaging, Los Angeles, CA 90033 USA

[2] Univ Calif Los Angeles, Sch Med, Div Neurosurg, Los Angeles, CA 90024 USA

[3] Univ Calif Los Angeles, Sch Med, Dept Neurol, Los Angeles, CA 90024 USA

[4] Univ Eastern Finland, AI Virtanen Inst Mol Sci, Kuopio, Finland

来源：

NEUROBIOLOGY OF DISEASE | 2019年 / 123卷

基金：

美国国家卫生研究院;

关键词：

Biomarkers; EEG; Epilepsy; Epileptogenesis; Informatics; MRI; Neuroimaging; TBI; HUMAN CONNECTOME PROJECT; AUTISM RESEARCH NDAR; FUNCTIONAL CONNECTIVITY; NATIONAL DATABASE; DATA INTEGRATION; INFORMATICS; SERVICES; MODEL;

D O I：

10.1016/j.nbd.2018.05.026

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

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.

引用

页码：127 / 136

页数：10

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