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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
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A computational grid-to-place-cell transformation model indicates a synaptic driver of place cell impairment in early-stage .pdf | Published version | 2.04 MB | Adobe PDF | View/Open |
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