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A computational grid-to-place-cell transformation model indicates a synaptic driver of place cell impairment in early-stage Alzheimer's Disease

Title: A computational grid-to-place-cell transformation model indicates a synaptic driver of place cell impairment in early-stage Alzheimer's Disease
Authors: Ness, N
Schultz, SR
Item Type: Journal Article
Abstract: Alzheimer’s Disease (AD) is characterized by progressive neurodegeneration and cognitive impairment. Synaptic dysfunction is an established early symptom, which correlates strongly with cognitive decline, and is hypothesised to mediate the diverse neuronal network abnormalities observed in AD. However, how synaptic dysfunction contributes to network pathology and cognitive impairment in AD remains elusive. Here, we present a grid-cell-to-place-cell transformation model of long-term CA1 place cell dynamics to interrogate the effect of synaptic loss on network function and environmental representation. Synapse loss modelled after experimental observations in the APP/PS1 mouse model was found to induce firing rate alterations and place cell abnormalities that have previously been observed in AD mouse models, including enlarged place fields and lower across-session stability of place fields. Our results support the hypothesis that synaptic dysfunction underlies cognitive deficits, and demonstrate how impaired environmental representation may arise in the early stages of AD. We further propose that dysfunction of excitatory and inhibitory inputs to CA1 pyramidal cells may cause distinct impairments in place cell function, namely reduced stability and place map resolution.
Issue Date: 1-Jun-2021
Date of Acceptance: 26-May-2021
URI: http://hdl.handle.net/10044/1/99853
DOI: 10.1371/journal.pcbi.1009115
ISSN: 1553-734X
Publisher: Public Library of Science (PLoS)
Start Page: 1
End Page: 27
Journal / Book Title: PLoS Computational Biology
Volume: 17
Issue: 6
Copyright Statement: © 2021 Ness, Schultz. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sponsor/Funder: Biotechnology and Biological Sciences Research Council (BBSRC)
Funder's Grant Number: BB/R022437/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Biochemical Research Methods
Mathematical & Computational Biology
Biochemistry & Molecular Biology
LONG-TERM STABILITY
AMYLOID-BETA
QUANTITATIVE ASSESSMENT
DENDRITIC SPINES
TRANSGENIC MODEL
GRANULE CELLS
MOUSE MODELS
CA1
REPRESENTATION
HIPPOCAMPUS
Alzheimer Disease
Animals
CA1 Region, Hippocampal
Cognitive Dysfunction
Computational Biology
Computer Simulation
Disease Models, Animal
Grid Cells
Humans
Mice
Models, Neurological
Nerve Net
Neuronal Plasticity
Place Cells
Synapses
Synaptic Transmission
Nerve Net
Synapses
Animals
Humans
Mice
Alzheimer Disease
Disease Models, Animal
Computational Biology
Synaptic Transmission
Neuronal Plasticity
Models, Neurological
Computer Simulation
CA1 Region, Hippocampal
Cognitive Dysfunction
Grid Cells
Place Cells
Science & Technology
Life Sciences & Biomedicine
Biochemical Research Methods
Mathematical & Computational Biology
Biochemistry & Molecular Biology
LONG-TERM STABILITY
AMYLOID-BETA
QUANTITATIVE ASSESSMENT
DENDRITIC SPINES
TRANSGENIC MODEL
GRANULE CELLS
MOUSE MODELS
CA1
REPRESENTATION
HIPPOCAMPUS
01 Mathematical Sciences
06 Biological Sciences
08 Information and Computing Sciences
Bioinformatics
Publication Status: Published
Article Number: ARTN e1009115
Online Publication Date: 2021-06-16
Appears in Collections:Bioengineering



This item is licensed under a Creative Commons License Creative Commons