The DOI matches its Crossref record; 62 of the 64 references it cites were found in a registry or an index.
Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging
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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“Using a variety of neuroimaging approaches such as radial atrophy (Frisoni et al., 2006), large-deformation high-dimensional brain mapping (Wang et al., 2003), voxel-based morphometry (Chételat et al., 2008) or manual delineation (Mueller et al., 2010), the predominance of atrophy in CA1 (and to a lesser extent in the subiculum) in patients with clinical AD or aMCI has already been shown in vivo.”
From Hippocampal subfield volumetry in mild cognitive impairment, Alzheimer's disease and semantic dementia (2013) · cites this paper as Wang et al., 2003
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Iglesias, J. E., Augustinack, J. C., Nguyen, K., Player, C. M., Player, A., Wright, M., Roy, N., Frosch, M. P., McKee, A. C., Wald, L. L., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.042 · Cited by 1,267
Brain atrophy in Alzheimer’s Disease and aging
Pini, L., Pievani, M., Bocchetta, M., Altomare, D., Bosco, P., Cavedo, E., Galluzzi, S., Marizzoni, M., & Frisoni, G. B. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.002 · Cited by 836
Marcus, D. S., Fotenos, A. F., Csernansky, J. G., Morris, J. C., & Buckner, R. L. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21407 · Cited by 669
Self-citationMapping hippocampal and ventricular change in Alzheimer disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G. I., Janke, A. L., Rose, S., Semple, J. M., Hong, M., Herman, D. H., Gravano, D. M., Doddrell, D. M., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.040 · Cited by 618
Metadata
- 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
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2003-10
- Volume
- 20
- Issue
- 2
- Pages
- 667-682
- ISSN
- 1053-8119 (ISSN-L)
- 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
- 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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