Abstract

In this talk, I will review neuroimaging studies are frequently characterized by increasingly large amounts of complex longitudinal data spanning basic demographics, cognitive assessments, multiple imaging modalities, and may derived parameters. Experience has shown that the costs and overheads of keeping track and managing this data can overwhelm the researcher, resulting in significant time overhead and more importantly, increasing the potential for error leading to incorrect results. I will introduce emerging techniques, which have been developed to address the management of complex data and show how these have been applied in the context of Phenome Wide Association (“PheWAS”) studies over neuroimaging data.

Date

2016

Authors

Carl Kesselman

Journal

International Journal of Psychophysiology

Volume

108

Pages

30

Publisher

Elsevier