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Activity Number: 88 - Recent Advances in Multimodal Neuroimaging Data Integration
Type: Invited
Date/Time: Monday, August 8, 2022 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #319291
Title: Clustering Using JIVE with Gaussian Mixtures for Data Integration
Author(s): Benjamin Risk* and Gavin Tian and James Lah and John Hanfelt
Companies: Emory University and Emory University and Emory University School of Medicine and Emory University
Keywords: multimodal; PCA; Alzheimer's; mixture model; latent class analysis

A common goal in data integration studies is to identify subgroups. JIVE (joint and individual variation explained) has been proposed as a method to extract shared (joint) and unique (individual) information from each dataset, and cluster analysis is applied after extraction of joint and individual scores. We present a probabilistic JIVE model with mixture of Gaussians (JIVE-mix) that enables joint probabilistic clustering of subjects with multiple data sources. Our simulations demonstrate improvement over existing approaches. We apply our method to MRI brain imaging and CSF biomarker measurements in the Alzheimer's Disease Neuroimaging Initiative, which reveals interesting clusters that suggest distinct pathologies.

Authors who are presenting talks have a * after their name.

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