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Functional implications of hippocampal volume and diffusivity in mild cognitive impairment
Abstract
Hippocampal atrophy has been related to mild cognitive impairment (MCI) and early Alzheimer disease (AD), but the diagnostic significance of cross-sectionally determined hippocampal volumes is still ambiguous. Diffusion-Tensor-Imaging (DTI) in MCI patients revealed an association of microstructural changes in hippocampal areas with verbal memory decline. MRI volumetry and DTI were combined to investigate 18 MCI patients attending a memory clinic, and 18 carefully age- and gender-matched healthy controls. Neuropsychological testing, high resolution T1-weighted volume MRI scans, and DTI scans with regions-of-interest in hippocampal areas were applied. Left hippocampal volume was significantly lower (-11%, P = 0.02) in MCI patients than in control subjects. No significant differences were found for the right hippocampus (-4%). Mean diffusivity (MD) was significantly elevated in MCI patients vs. controls in left (+10%, P = 0.002) and right hippocampal areas (+13%, P = 0.02). Hippocampal volume and MD values were not significantly correlated. Combining left hippocampal volume and MD measures showed that lower left hippocampal volumes were associated with poor verbal memory performance particularly when co-occurring with high MD values. No comparable associations could be found regarding the right hippocampal formation and with respect to non-verbal memory function. The results demonstrate that microstructural abnormalities as revealed by DTI are very sensitive early indicators of…
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“In this regard, the observed pattern of decreased FA and increased MD, RD, and AD values in P301L mice in the current study are in good agreement with DTI changes observed in human tauopathies such as progressive supranuclear palsy [21], frontotemporal dementia [22], mild cognitive impairment [24], and Alzheimer`s disease [18,25].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [22]
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Metadata
- Authors
- Müller, M. J., Greverus, D., Dellani, P. R., Weibrich, C., Wille, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- Corresponding author
- Müller, Matthias J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 28
- Issue
- 4
- Pages
- 1033-1042
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2045333811
- Cited by
- 210
- References
- 85
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 12 · 2023: 6 · 2022: 10 · 2021: 8 · 2020: 14 · 2019: 6 · 2018: 10 · 2017: 17 · 2016: 7 · 2015: 9 · 2014: 7 · 2013: 8 · 2012: 11
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- mild cognitive impairment, hippocampal volume, hippocampal atrophy, mean diffusivity, diffusion tensor imaging, verbal memory, hippocampal asymmetry, early detection of neurodegeneration, Alzheimer's disease
- MeSH terms
- Aged, Atrophy, Cognition Disorders, Female, Hippocampus, Humans, Male, Memory, Psychomotor Performance, Mental Recall, Reproducibility of Results, Infarction, Middle Cerebral Artery, Diffusion Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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