Mixed Models Quantify Annual Volume Change; Linear Regression Determines Thalamic Volume as the Best Subcortical Structure Volume Predictor in Alzheimer's Disease and Aging
Charles Stevens Leger, Monique Herbert, W. Dale Stevens, Joseph F. X. DeSouza, Alzheimer’s Disease Neuroimaging Initiative
The paper uses mixed models and linear regression to analyze annual volume changes in subcortical structures, finding thalamic volume as the best predictor of volume variation in other structures in Alzheimer's disease and aging.
bioRxiv · Oct 29, 2022 · PreprintNeuroscience