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Abstract #2592

Joint and individual statistical analysis of brain MRI and cognition measures in Alzheimer's Disease

Raphiel Jamale Murden1, Deqiang Qiu2, and Benjamin B Risk2
1Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States, 2Emory University, Atlanta, GA, United States

Canonical Joint and Individual Variation Explained (CJIVE) provides a method for jointly analyzing multi-block datasets collected from the same individuals. We apply this method to measures of brain morhometry and cognition from a sample of older adults. We found latent patterns of joint variation across data types which were statistically associated with diagnoses of Alzheimer's Disease and mild cognitive impairment. We also found that the unique patterns of variation within each data type were not associated with diagnoses.

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