
The latent factor structure underlying regional brain volume change and its relation to cognitive change in older adults.
Author(s) -
Brandon E. Gavett,
Evan Fletcher,
Keith F. Widaman,
Sarah Tomaszewski Farias,
Charles DeCarli,
Dan M Mungas
Publication year - 2021
Publication title -
neuropsychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.13
H-Index - 130
eISSN - 1931-1559
pISSN - 0894-4105
DOI - 10.1037/neu0000761
Subject(s) - psychology , brain size , cognition , cognitive decline , temporal lobe , structural equation modeling , atrophy , latent variable , neuroimaging , magnetic resonance imaging , neuroscience , developmental psychology , disease , dementia , medicine , statistics , mathematics , epilepsy , radiology
Late-life changes in cognition and brain integrity are both highly multivariate, time-dependent processes that are essential for understanding cognitive aging and neurodegenerative disease outcomes. The present study seeks to identify a latent variable model capable of efficiently reducing a multitude of structural brain change magnetic resonance imaging (MRI) measurements into a smaller number of dimensions. We further seek to demonstrate the validity of this model by evaluating its ability to reproduce patterns of coordinated brain volume change and to explain the rate of cognitive decline over time.