Journal article
Estimating anatomical trajectories with Bayesian mixed-effects modeling
NeuroImage, Vol.121, pp.51-68
11/01/2015
DOI: 10.1016/j.neuroimage.2015.06.094
PMCID: PMC4607727
PMID: 26190405
Abstract
We introduce a mass-univariate framework for the analysis of whole-brain structural trajectories using longitudinal Voxel-Based Morphometry data and Bayesian inference. Our approach to developmental and aging longitudinal studies characterizes heterogeneous structural growth/decline between and within groups. In particular, we propose a probabilistic generative model that parameterizes individual and ensemble average changes in brain structure using linear mixed-effects models of age and subject-specific covariates. Model inversion uses Expectation Maximization (EM), while voxelwise (empirical) priors on the size of individual differences are estimated from the data. Bayesian inference on individual and group trajectories is realized using Posterior Probability Maps (PPM). In addition to parameter inference, the framework affords comparisons of models with varying combinations of model order for fixed and random effects using model evidence. We validate the model in simulations and real MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) project. We further demonstrate how subject specific characteristics contribute to individual differences in longitudinal volume changes in healthy subjects, Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD).
Details
- Title: Subtitle
- Estimating anatomical trajectories with Bayesian mixed-effects modeling
- Creators
- G ZieglerW D PennyG R RidgwayS OurselinK J FristonAlzheimer's Disease Neuroimaging Initiative
- Contributors
- Laura L Boles-Ponto (Contributor) - University of Iowa, Radiology
- Resource Type
- Journal article
- Publication Details
- NeuroImage, Vol.121, pp.51-68
- DOI
- 10.1016/j.neuroimage.2015.06.094
- PMID
- 26190405
- PMCID
- PMC4607727
- NLM abbreviation
- Neuroimage
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Publisher
- Elsevier BV
- Grant note
- MR/J014257/2 / Research Council UK (rcuk________::RCUK) 1U01AG024904-01 / National Institutes of Health (nih_________::NIH) unidentified / Canadian Institutes of Health Research (cihr________::CIHR) 091593 / Wellcome Trust; Wellcome Trust (wt__________::WT; wt__________::WT)
- Language
- English
- Date published
- 11/01/2015
- Academic Unit
- Radiology; Pharmaceutical Sciences and Experimental Therapeutics
- Record Identifier
- 9984051514902771
Metrics
27 Record Views