Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort

Michael I Miller; Laurent Younes; J Tilak Ratnanather; Timothy Brown; Huong Trinh; David S Lee; Daniel Tward; Pamela B Mahon; Susumu Mori; Marilyn Albert; BIOCARD Research Team

doi:10.1016/j.neurobiolaging.2014.06.032

Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort

Neurobiol Aging. 2015 Jan:36 Suppl 1:S3-S10. doi: 10.1016/j.neurobiolaging.2014.06.032. Epub 2014 Aug 29.

Authors

Collaborators

BIOCARD Research Team:
Marilyn Albert, Barbara Rodzon, Selnes Ola, Marilyn Albert, Rebecca Gottesman, Ned Sacktor, Anja Soldan, Guy McKhann, Scott Turner, Leonie Farrington, Maura Grega, Daniel D'Agostino, Sydney Feagen, David Dolan, Hillary Dolan, Michael Miller, Susumu Mori, Tilak Ratnanather, Timothy Brown, Hayan Chi, Anthony Kolasny, Kenichi Oishi, Thomas Reigel, Elizabeth Postell, William Schneider, Laurent Younes, Richard O'Brien, Abhay Moghekar, Richard Meehan, Roberta Scherer, Curt Meinert, David Shade, Ann Ervin, Jennifer Jones, Matt Toepfner, Lauren Parlett, April Patterson, Lisa Lassiter, Mei-Cheng Wang, Shanshan Li, Yi Lu, Juan Troncoso, Barbara Crain, Olga Pletnikova, Gay Rudow, Karen Fisher, John Csernansky, David Holtzman, David Knopman, Walter Kukull, John McArdle, Neil Buckholtz, John Hsiao, Laurie Ryan, Jovier Evans, Constantine Lyketsos, Carlos Pardo, Gerard Schellenberg, Leslie Shaw, Madhav Thambisetty, John Trojanowski, Trey Sunderland

Affiliations

¹ 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.
² Center for Imaging Science, Johns Hopkins University; Institute for Computational Medicine, Johns Hopkins University; Department of Applied Mathematics and Statistics, Johns Hopkins University.
³ Center for Imaging Science, Johns Hopkins University; Institute for Computational Medicine, Johns Hopkins University; Department of Biomedical Engineering, Johns Hopkins University.
⁴ Center for Imaging Science, Johns Hopkins University.
⁵ Center for Imaging Science, Johns Hopkins University; Department of Biomedical Engineering, Johns Hopkins University.
⁶ Department of Psychiatry, Johns Hopkins University School of Medicine.
⁷ Department of Radiology, Johns Hopkins University School of Medicine.
⁸ Department of Neurology, Johns Hopkins University School of Medicine.

PMID: 25444602
PMCID: PMC4271320
DOI: 10.1016/j.neurobiolaging.2014.06.032

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.

Keywords: Alzheimer's disease; Amygdala; MCI; MRI; Shape.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Aged
Alzheimer Disease / pathology*
Amygdala / pathology*
Atrophy
Cohort Studies
Female
Humans
Image Processing, Computer-Assisted / methods*
Magnetic Resonance Imaging / methods*
Male
Middle Aged

Abstract

Publication types

MeSH terms

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