SIG | Neuroimaging: Large Multicenter Databases–Big Data and Open Science
Friday, December 3, 2021
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OVERVIEW :
This Special Interest Group reviews existing datasets in the era of multi-center neuroimaging databases, big data, and open science.
Big data science provides significant insights into universal and clinically impactful aspects of disease pathophysiology and outcomes. Epilepsy neuroimaging is now being supported by large multi-center databases that provide unprecedented access to clinical and neuroimaging data. They permit researchers across the world to leverage rich information to evaluate salient and shared disease traits. This SIG provides an overview of the existing datasets and their contained information.
Presenters discuss recent analytical engines that were constructed to fully explore the existing databases and imaging data at large. Researchers involved with neuroimaging and computational neurobiology of focal and generalized epilepsies and clinicians with a special interest in future diagnostic approaches and advanced statistical and machine learning methods will find this session beneficial.
Learning Objectives:
Following participation in this activity, participants will be able to:
- Identify existing large neuroimaging databases
- Identify and use existing tools to mine and explore large neuroimaging databases
- Describe opportunities to engage in open science and collaborate with other researchers
Program:
SIG Coordinators: Leonardo Bonilha, MD, PhD, Neda Bernasconi, PhD, and Carrie McDonald, PhD
Chair: Leonardo Bonilha, MD, PhD
ENIGMA Epilepsy | Paul Thompson, PhD
The Epilepsy Connectome Project | Jeffrey Binder, MD
Scripts and Tools for Data Mining and Analytics | Boris Bernhardt, PhD