Identifying predictors of within-person variance in MRI-based brain volume estimates
Abstract
Adequate reliability of measurement is a precondition for investigating individual differences and age-related changes in brain structure. One approach to improve reliability is to identify and control for variables that are predictive of within-person variance. To this end, we applied both classical statistical methods and machine-learning-inspired approaches to structural magnetic resonance imaging (sMRI) data of six participants aged 24–31...
Paper Details
Title
Identifying predictors of within-person variance in MRI-based brain volume estimates
Published Date
Oct 1, 2019
Journal
Volume
200
Pages
575 - 589
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