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IC‐P‐157: Novel Toolbox for Performing Voxel‐Wise Generalized Linear Regression With Mulitple Volumetric Covariates in Longitudinal Data
Author(s) -
Mathotaarachchi Sulantha S.,
Wang Seqian,
Shin Monica,
Pascoal Tharick A.,
Benedet Andrea Lessa,
Kang Min Su,
Beaudry Thomas,
Fonov Vladimir S.,
Gauthier Serge,
Labbe Aurelie,
Rosa-Neto Pedro
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.188
Subject(s) - covariate , computer science , generalized linear model , linear regression , binomial regression , regression analysis , artificial intelligence , data mining , statistics , machine learning , mathematics
elwise analyses revealed widespread areas of hypometabolism (in lateral frontal, temporal, and parietal lobes) that were associated with less cognitive activity, and these regions overlapped partially the meta ROIs. Hippocampal volume was not correlated with cognitive activity in any age epoch. Conclusions: Cognitive engagement in early and midlife is associated with reduced amyloid, while current cognitive engagement is associated with reduced hypometabolism. These findings are consistent with proposed effects of early/midlife cognitive engagement on neural efficiency, but suggest that late life effects reflect other factors, such as cognitive reserve or reverse causation.