학술논문

Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration.
Document Type
article
Source
Brain and behavior. 7(4)
Subject
Humans
Aphasia
Primary Progressive
Atrophy
Disease Progression
Magnetic Resonance Imaging
Retrospective Studies
Longitudinal Studies
Mental Status Schedule
Neuropsychological Tests
Aged
Middle Aged
Female
Male
Frontotemporal Lobar Degeneration
frontotemporal dementia
longitudinal studies
magnetic resonance imaging
primary progressive aphasia
Neurosciences
Psychology
Cognitive Sciences
Language
Abstract
IntroductionLongitudinal imaging of neurodegenerative disorders is a potentially powerful biomarker for use in clinical trials. In Alzheimer's disease, studies have demonstrated that empirically derived regions of interest (ROIs) can provide more reliable measurement of disease progression compared with anatomically defined ROIs.MethodsWe set out to derive ROIs with optimal effect size for quantifying longitudinal change in a hypothetical clinical trial by comparing atrophy rates in 44 patients with behavioral variant of frontotemporal dementia (bvFTD), 30 with the semantic variant primary progressive aphasia (svPPA), and 26 with the nonfluent variant PPA (nfvPPA) to atrophy in 97 cognitively healthy controls.ResultsThe regions identified for each variant were generally what would be expected from prior studies of frontotemporal lobar degeneration (FTLD). Sample size estimates for detecting a 40% reduction in annual rate of ROI atrophy varied substantially across groups, being 103 per arm in bvFTD, 31 in nfvPPA, and 10 in svPPA, but in all groups were less than those estimated for a priori ROIs and clinical measures. The variability in location of peak regions of atrophy across individuals was highest in bvFTD and lowest in svPPA, likely relating to the differences in effect size.ConclusionsThese findings suggest that, while cross-validated maps of change can improve sensitivity to change in FTLD compared with a priori regions, the reliability of these maps differs considerably across syndromes. Future studies can utilize these maps to design clinical trials, and should try to identify factors accounting for the variability in patterns of atrophy across individuals, particularly those with bvFTD.