title: Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort.
abstract: This article examines the diffeomorphometry of magnetic resonance imaging-derived structural markers for the amygdala, in subjects with symptomatic Alzheimer's disease (AD). Using linear mixed-effects models we show differences between those with symptomatic AD and controls. Based on template centered population analysis, the distribution of statistically significant change is seen in both the volume and shape of the amygdala in subjects with symptomatic AD compared with controls. We find that high-dimensional vertex based markers are statistically more significantly discriminating (p < 0.00001) than lower-dimensional markers and volumes, consistent with comparable findings in presymptomatic AD. Using a high-field 7T atlas, significant atrophy was found to be centered in the basomedial and basolateral subregions, with no evidence of centromedial involvement.
authors.affiliation: Center for Imaging Science, Johns Hopkins University; Institute for Computational Medicine, Johns Hopkins University; Department of Biomedical Engineering, Johns Hopkins University. Electronic address: mim@cis.jhu.edu.
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
authors.affiliation: Center for Imaging Science, Johns Hopkins University; Institute for Computational Medicine, Johns Hopkins University; Department of Applied Mathematics and Statistics, Johns Hopkins University.
authors.forename: Laurent
authors.initials: L
authors.lastname: Younes
authors.affiliation: Center for Imaging Science, Johns Hopkins University; Institute for Computational Medicine, Johns Hopkins University; Department of Biomedical Engineering, Johns Hopkins University.
authors.forename: J Tilak
authors.initials: JT
authors.lastname: Ratnanather
authors.affiliation: Center for Imaging Science, Johns Hopkins University.
authors.forename: Timothy
authors.initials: T
authors.lastname: Brown
authors.affiliation: Center for Imaging Science, Johns Hopkins University.
authors.forename: Huong
authors.initials: H
authors.lastname: Trinh
authors.affiliation: Center for Imaging Science, Johns Hopkins University; Department of Biomedical Engineering, Johns Hopkins University.
authors.forename: David S
authors.initials: DS
authors.lastname: Lee
authors.affiliation: Center for Imaging Science, Johns Hopkins University; Department of Biomedical Engineering, Johns Hopkins University.
authors.forename: Daniel
authors.initials: D
authors.lastname: Tward
authors.affiliation: Department of Psychiatry, Johns Hopkins University School of Medicine.
authors.forename: Pamela B
authors.initials: PB
authors.lastname: Mahon
authors.affiliation: Department of Radiology, Johns Hopkins University School of Medicine.
authors.forename: Susumu
authors.initials: S
authors.lastname: Mori
authors.affiliation: Department of Neurology, Johns Hopkins University School of Medicine.
authors.forename: Marilyn
authors.initials: M
authors.lastname: Albert
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000473:pathology*; D000679:Amygdala / Q000473:pathology*; D001284:Atrophy; D015331:Cohort Studies; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged
keywords: Alzheimer's disease; Amygdala; MCI; MRI; Shape