White matter deterioration in 15 months: latent growth curve models in healthy adults

White matter deterioration in 15 months: latent growth curve models in healthy adults.

The goal of the study was to examine the differences in trajectories of change in the volume of white matter hyperintensities (WMH) in healthy adults within a relatively short period. We measured volumes of periventricular and deep WMH in frontal, temporal, parietal, and occipital lobes of healthy volunteers (age 49-83) on 3 occasions, approximately 15 months apart. At baseline, 40 participants...

Latent Growth Curve Models

Midlife measurements of white matter microstructure predict subsequent regional white matter atrophy in healthy adults.

OBJECTIVES Although age-related brain changes are becoming better understood, midlife patterns of change are still in need of characterization, and longitudinal studies are lacking. The aim of this study was to determine if baseline fractional anisotropy (FA), obtained from diffusion tensor imaging (DTI) predicts volume change over a 4-year interval. EXPERIMENTAL DESIGN Forty-four cognitively...

Latent Growth Curve Modeling

A fundamental observation in the social and behavioral sciences is that people change over time, but not necessarily in the same way or at the same rate. For example, verbal ability increases steadily throughout the elementary school years, but it does not increase at the same rate for all students. There are individual differences in the rate and direction of change in many contexts, and these...

Latent Growth Curve Analysis

Learning and development are ubiquitous. When new skills are acquired, when attitudes and interests develop, people change. Measuring change demands a longitudinal perspective, with multiple waves of data collected on representative people at sensibly spaced intervals. Multi-wave data is usually analyzed by individual growth modeling using a multilevel model for change (Singer & Willett, 2003)....