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PMID: 19041724 Published · ppublish English Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.

NeuroImage ·Vol. 45 ·No. 1 Suppl ·2009-03-00 ·Pages S3-15

Morra JH, Tu Z, Apostolova LG, Green AE, Avedissian C, Madsen SK, Parikshak N, Toga AW, Jack CR, Schuff N, Weiner MW, Thompson PM, Alzheimer's Disease Neuroimaging Initiative

Abstract

As one of the earliest structures to degenerate in Alzheimer's disease (AD), the hippocampus is the target of many studies of factors that influence rates of brain degeneration in the elderly. In one of the largest brain mapping studies to date, we mapped the 3D profile of hippocampal degeneration over time in 490 subjects scanned twice with brain MRI over a 1-year interval (980 scans). We examined baseline and 1-year follow-up scans of 97 AD subjects (49 males/48 females), 148 healthy control subjects (75 males/73 females), and 245 subjects with mild cognitive impairment (MCI; 160 males/85 females). We used our previously validated automated segmentation method, based on AdaBoost, to create 3D hippocampal surface models in all 980 scans. Hippocampal volume loss rates increased with worsening diagnosis (normal=0.66%/year; MCI=3.12%/year; AD=5.59%/year), and correlated with both baseline and interval changes in Mini-Mental State Examination (MMSE) scores and global and sum-of-boxes Clinical Dementia Rating scale (CDR) scores. Surface-based statistical maps visualized a selective profile of ongoing atrophy in all three diagnostic groups. Healthy controls carrying the ApoE4 gene atrophied faster than non-carriers, while more educated controls atrophied more slowly; converters from MCI to AD showed faster atrophy than non-converters. Hippocampal loss rates can be rapidly mapped, and they track cognitive decline closely enough to be used as surrogate markers of Alzheimer's disease in drug trials. They also reveal genetically greater atrophy in cognitively intact subjects.

MeSH Terms
Aged Algorithms Alzheimer Disease/genetics,pathology Apolipoprotein E4/genetics Atrophy Automation Brain Mapping/methods Cognition Disorders/genetics,pathology Female Follow-Up Studies Genotype Hippocampus/pathology Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male
Chemicals
Apolipoprotein E4
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Morra Jonathan H
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, 635 Charles Young Drive, Los Angeles, CA 90095-1769, USA.
Tu Zhuowen
Apostolova Liana G
Green Amity E
Avedissian Christina
Madsen Sarah K
Parikshak Neelroop
Toga Arthur W
Jack Clifford R
Schuff Norbert
Weiner Michael W
Thompson Paul M
Alzheimer's Disease Neuroimaging Initiative
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Article Info
Journal
NeuroImage
Abbr.
Neuroimage
ISSN
1095-9572
Published
2009-03-00
Epub
2008-00-08
Pages
S3-15
Language
English
Region
United States
NLM ID
9215515
PMCID
PMC2733354
Subset
IM
Grants
NIA NIH HHS · P50 AG016570-10 · United States
NLM NIH HHS · R01 LM005639-10 · United States
NIBIB NIH HHS · EB01651 · United States
NIA NIH HHS · U01 AG024904-05S2 · United States
NIA NIH HHS · U01 AG024904-04 · United States
NIA NIH HHS · AG016570 · United States
NCRR NIH HHS · R21 RR019771 · United States
NLM NIH HHS · R01 LM005639 · United States
NIA NIH HHS · U01 AG024904 · United States
NIA NIH HHS · U19 AG010483 · United States
NCRR NIH HHS · RR019771 · United States
NIA NIH HHS · P50 AG016570 · United States
NIA NIH HHS · U01 AG024904-05S1 · United States
NLM NIH HHS · LM05639 · United States
NCRR NIH HHS · R21 RR019771-02 · United States
NIA NIH HHS · U01 AG024904-05 · United States
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