Posted: April 17, 2019
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Symposium will take place May 21-23, University of Boulder, Colorado.
Summer 2019 Computational & Data Science Research Opportunities @ MSU for Graduates & Undergraduates
Posted January 22, 2019
The International Neuromodulation Registry: A Graph Database Representation for Neuromodulation Therapies
By Hedges, D.M.1,2, Duffley, G.1,3, Hegman, J.C.1, Gouripeddi, R.2,4, Butson, C.R.1,3,5,6,7
1Scientific Computing and Imaging (SCI) Institute, 2Department of Biomedical Informatics, 3Department of Biomedical Engineering, 4Center for Clinical and Translational Science, 5Department of Neurology, 6Department of Neurosurgery, 7Department of Psychiatry,
Deep Brain Stimulation (DBS) is a form of Neuromodulation therapy, often used in patients with many different types of neurological disorders. However, DBS is a rare treatment and medical centers have few patients who qualifying for DBS, meaning that most DBS studies are statistically underpowered and have chronically low n values. Here, we present a platform designed to combine disparate datasets from different centers. Using this platform, researchers and clinicians will be able to aggregate patient datasets, transforming DBS studies from being center-based to being population-based.
Graph databases are increasing in popularity due to their speed of information retrieval, powerful visualization of complex data relationships, and flexible data models. Our Neo4j DBMS is physically located in the University of Utah Center for High-Performance Computing (CHPC) Protected Environment on a virtual machine, giving needs-based flexibility for both memory and storage.
This patient registry has been build on a next-generation graph database. Through a formal, but flexible, data model and ontology, this platform is able to harmonize disparate data types and allows for simple visualizations of complex data types.
Anticipated Use Cases: Cohort discovery, data and imaging download, exploratory analysis.