APS
APS Virtual Poster Showcase · 2020
Enigma Coinstac: Increasing Neuroimaging Data Diversity with Managed Privacy
- Matthew Turner
Georgia State University - Harshvardhan Gazula
Georgia State University - Peter Kochunov
University of Maryland - Paul Thompson
University of Southern California - Neda Jahanshad
University of Southern California - Chris Ching
University of Southern California - Fabrizio Pizzagalli
University of Southern California - Gregory Strauss
University of Georgia - Anthony Ahmed
Cornell University - Enigma Schizophrenia Working Group
ENIGMA Consortium - Vince Calhoun
Georgia State University - Theo van Erp
University of California, Irvine - Jessica Turner
Georgia State University
Abstract
Enabling the use of geographically and culturally diverse data in neuroimaging research is a critical need for advancing science. We present an automated system for implementing predesigned meta-analyses across independent data sites in a privacy protecting way. This general method is broadly applicable for both neuroimaging and other data types.
Statistics and Methodology