Cited by 264Dementia and Cognitive Impairment ResearchMedical Image Segmentation TechniquesAlzheimer's disease research and treatments

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Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging

Wang, Lei, Swank, Jeffrey S., Glick, Irena E., Gado, Mokhtar H., Miller, Michael I., Morris, John C., Csernansky, John G.·2003·NeuroImage

DOI 10.1016/s1053-8119(03)00361-6

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Abstract

Rates of hippocampal volume loss have been shown to distinguish subjects with dementia of the Alzheimer type (DAT) from nondemented controls. In this study, we obtained magnetic resonance scans in 18 subjects with very mild DAT (CDR 0.5) and 26 age-matched nondemented controls (CDR 0) 2 years apart. Large-deformation high-dimensional brain mapping was used to quantify and compare changes in hippocampal shape as well as volume in the two groups of subjects. Hippocampal volume loss over time was significantly greater in the CDR 0.5 subjects (left = 8.3%, right = 10.2%) than in the CDR 0 subjects (left = 4.0%, right = 5.5%) (ANOVA, F = 7.81, P = 0.0078). We used singular-value decomposition and logistic regression models to quantify hippocampal shape change across time within individuals, and this shape change in the CDR 0.5 and CDR 0 subjects was found to be significantly different (Wilks's lambda, P = 0.014). Further, at baseline, CDR 0.5 subjects, in comparison to CDR 0 subjects, showed inward deformation over 38% of the hippocampal surface; after 2 years this difference grew to 47%. Also, within the CDR 0 subjects, shape change between baseline and follow-up was largely confined to the head of the hippocampus and subiculum, while in the CDR 0.5 subjects, shape change involved the lateral body of the hippocampus as well as the head region and subiculum. These results suggest that different patterns of hippocampal shape change in time as well as different rates of hippocampal volume loss distinguish very mild DAT from healthy aging.

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Authors: Wang, L., Swank, J. S., Glick, I. E., Gado, M. H., Miller, M. I., Morris, J. C., & Csernansky, J. G.
Affiliations: Washington University in St. Louis (US)
Johns Hopkins University (US)
Corresponding author: Wang, Lei
ORCID: Wang, Lei
Miller, Michael I.
Morris, John C.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2003-10
Volume: 20
Issue: 2
Pages: 667-682
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/s1053-8119(03)00361-6
OpenAlex: W1976154578
Cited by: 263
References: 64
Citations by year: 2026: 4 · 2025: 4 · 2024: 6 · 2023: 4 · 2022: 4 · 2021: 11 · 2020: 9 · 2019: 12 · 2018: 8 · 2017: 9 · 2016: 11 · 2015: 14 · 2014: 17 · 2013: 12 · 2012: 12
FWCI: 6.94
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Funders: American Health Assistance Foundation
University of Washington
National Institutes of Health (1 P41 RR15241-01A1, AG 03991, MH 62130, MH/AG 60883)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Keywords: Alzheimer's disease, hippocampal atrophy, mild cognitive impairment, healthy aging, hippocampal subiculum, hippocampal head
MeSH terms: Aged, Aging, Algorithms, Alzheimer Disease, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Psychiatric Status Rating Scales, Regression Analysis, Sex Characteristics, Disease Progression

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Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging

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