TY - JOUR
T1 - Sex differences in grey matter atrophy patterns among AD and aMCI patients
T2 - Results from ADNI
AU - Skup, Martha
AU - Zhu, Hongtu
AU - Wang, Yaping
AU - Giovanello, Kelly S.
AU - Lin, Ja an
AU - Shen, Dinggang
AU - Shi, Feng
AU - Gao, Wei
AU - Lin, Weili
AU - Fan, Yong
AU - Zhang, Heping
N1 - Funding Information:
Data collection and sharing for this project were funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) ( National Institutes of Health Grant U01 AG024904 ). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott, Astra Zeneca AB, Bayer Schering Pharma AG, Bristol-Myers Squibb, Eisai Global Clinical Development, Elan Corporation, Genentech, GE Healthcare, GlaxoSmithKline, Innogenetics, Johnson and Johnson, Eli Lilly and Co., Medpace, Inc., Merck and Co., Inc., Novartis AG, Pfizer Inc., F. Hoffman-La Roche, Schering-Plough, Synarc, Inc., as well as non-profit partners the Alzheimer's Association and Alzheimer's Drug Discovery Foundation, with participation from the U.S. Food and Drug Administration. Private sector contributions to ADNI are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129 , K01 AG030514 , and the Dana Foundation .
Funding Information:
M. Skup is supported in part by training grant T32 MH014235 from the National Institute on Mental Health . H. Zhu is supported in part by NSF grant BCS-08-26844 and NIH grants RR025747-01 , P01CA142538-01 , MH086633 , and AG03338 . Y. Fan is supported in part by the National Science Foundation of China grant 30970770 and by the Hundred Talents Programs, Chinese Academy of Sciences . W. Lin is supported in part by NIH grants R01NS055754 and R01EB5-34816.
PY - 2011/6/1
Y1 - 2011/6/1
N2 - We used longitudinal magnetic resonance imaging (MRI) data to determine whether there are any gender differences in grey matter atrophy patterns over time in 197 individuals with probable Alzheimer's disease (AD) and 266 with amnestic mild cognitive impairment (aMCI), compared with 224 healthy controls participating in the Alzheimer's Disease Neuroimaging Initiative (ADNI). While previous research has differentiated probable AD and aMCI groups from controls in brain atrophy, it is unclear whether and how sex plays a role in patterns of change over time. Using regional volumetric maps, we fit longitudinal models to the grey matter data collected at repeated occasions, seeking differences in patterns of volume change over time by sex and diagnostic group in a voxel-wise analysis. Additionally, using a region-of-interest approach, we fit longitudinal models to the global volumetric data of predetermined brain regions to determine whether this more conventional approach is sufficient for determining sex and group differences in atrophy. Our longitudinal analyses revealed that, of the various grey matter regions investigated, males and females in the AD group and the aMCI group showed different patterns of decline over time compared to controls in the bilateral precuneus, bilateral caudate nucleus, right entorhinal gyrus, bilateral thalamus, bilateral middle temporal gyrus, left insula, and right amygdala. As one of the first investigation to model more than two time points of structural MRI data over time, our findings add insight into how AD and aMCI males and females differ from controls and from each other over time.
AB - We used longitudinal magnetic resonance imaging (MRI) data to determine whether there are any gender differences in grey matter atrophy patterns over time in 197 individuals with probable Alzheimer's disease (AD) and 266 with amnestic mild cognitive impairment (aMCI), compared with 224 healthy controls participating in the Alzheimer's Disease Neuroimaging Initiative (ADNI). While previous research has differentiated probable AD and aMCI groups from controls in brain atrophy, it is unclear whether and how sex plays a role in patterns of change over time. Using regional volumetric maps, we fit longitudinal models to the grey matter data collected at repeated occasions, seeking differences in patterns of volume change over time by sex and diagnostic group in a voxel-wise analysis. Additionally, using a region-of-interest approach, we fit longitudinal models to the global volumetric data of predetermined brain regions to determine whether this more conventional approach is sufficient for determining sex and group differences in atrophy. Our longitudinal analyses revealed that, of the various grey matter regions investigated, males and females in the AD group and the aMCI group showed different patterns of decline over time compared to controls in the bilateral precuneus, bilateral caudate nucleus, right entorhinal gyrus, bilateral thalamus, bilateral middle temporal gyrus, left insula, and right amygdala. As one of the first investigation to model more than two time points of structural MRI data over time, our findings add insight into how AD and aMCI males and females differ from controls and from each other over time.
KW - Alzheimer's disease
KW - GEE
KW - Longitudinal MRI
KW - Mild cognitive impairment
KW - Sex differences
UR - http://www.scopus.com/inward/record.url?scp=79955473766&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2011.02.060
DO - 10.1016/j.neuroimage.2011.02.060
M3 - Article
C2 - 21356315
AN - SCOPUS:79955473766
SN - 1053-8119
VL - 56
SP - 890
EP - 906
JO - NeuroImage
JF - NeuroImage
IS - 3
ER -