Hippocampal Deficits in Amyloid-β-Related Rodent Models of Alzheimer’s Disease
Open accessAbstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disease that is the most common cause of dementia. Symptoms of AD include memory loss, disorientation, mood and behaviour changes, confusion, unfounded suspicions, and eventually, difficulty speaking, swallowing and walking. These symptoms are caused by neuronal degeneration and cell loss that begins in the hippocampus, and later in disease progression spreads to the rest of the brain. While there are some medications that alleviate initial symptoms, there are currently no treatments that stop disease progression. Hippocampal deficits in rodent models of AD have revealed synaptic, behavioural and circuit-level defects. These changes in synaptic function, plasticity, neuronal excitability, brain connectivity, and excitation/inhibition imbalance all have profound effects on circuit function, which in turn could exacerbate disease progression. However, a major limitation in this field is the lack of data and consensus to completely understand hippocampal deficits in AD. With the increasing development of in vivo recording techniques in awake and freely moving animals, future studies will extend our current knowledge of the mechanisms underpinning how hippocampal function is altered in AD, and aid in progression of treatment strategies that prevent and/or delay AD symptoms.
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Amyloid plaque loading is known to be high in the hippocampus.
“Similar to the cortex, amyloid plaque loading is known to be high in hippocampus (Lazarov et al., 2002; Vyas et al., 2020).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Vyas et al., 2020
The Changes in Brain Connectivity and Circuit Function section (page unavailable) describes amyloid deposits in an Alzheimer’s mouse model and discusses hippocampal deficits. It does not establish that plaque loading is high in the hippocampus or compare hippocampal loading with cortical loading. (LLM, conf=0.75)
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Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging
Maharjan, S., Tsai, A. P., Lin, P. B., Ingraham, C., Jewett, M. R., Landreth, G. E., Oblak, A. L., & Wang, N. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.964654 · Cited by 11 · see citing works
“Similar to the cortex, amyloid plaque loading is known to be high in hippocampus (Lazarov et al., 2002; Vyas et al., 2020).”
Background
- Authors
- Vyas, Y., Montgomery, J. M., & Cheyne, J. E.
- Affiliations
- University of Auckland (NZ)
- Corresponding author
- Montgomery, Johanna M.
- Cheyne, Juliette E.
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2020-04-07
- Volume
- 14
- Pages
- 266-266
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC7154147
- OpenAlex
- W3015745164
- Cited by
- 66
- References
- 219
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 13 · 2023: 18 · 2022: 9 · 2021: 11 · 2020: 5
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- ResearchSpace (University of Auckland) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- Alzheimer's disease, hippocampus, amyloid-beta, rodent models, synaptic dysfunction, synaptic plasticity, neuronal excitability, brain connectivity, excitatory-inhibitory imbalance, memory impairment, neurodegeneration
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.
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