APS

APS Virtual Poster Showcase · 2020

Enigma Coinstac: Increasing Neuroimaging Data Diversity with Managed Privacy

Virtual · June 2020

Poster Sessions · Cross-Cutting Theme Poster - Global Psychological Science Perspectives

  • 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