2023
DOI: 10.1113/jp283401
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Modelling the contributions to hyperexcitability in a mouse model of Alzheimer's disease

Abstract: Neuronal hyperexcitability is a pathological characteristic of Alzheimer's disease (AD). Three main mechanisms have been proposed to explain it: (i) dendritic degeneration leading to increased input resistance, (ii) ion channel changes leading to enhanced intrinsic excitability, and (iii) synaptic changes leading to excitation–inhibition (E/I) imbalance. However, the relative contribution of these mechanisms is not fully understood. Therefore, we performed biophysically realistic multi‐compartmental modelling … Show more

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Cited by 5 publications
(2 citation statements)
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References 199 publications
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“…The overall approach employed here could be used to build different heterogeneous populations of granule cells built with distinct morphologies and disparate sets of ion channels that emerge from respective experimental measurements that span a large set of characteristics from the same set of cells. Such analyses would enable a fundamental understanding of differences in heterogeneities, composition, extent of degeneracy in each state, and how they contribute to the physiology of the neurons and their networks (Ratté et al, 2014; Ratte and Prescott, 2016; Goaillard and Marder, 2021; Mishra and Narayanan, 2021d; Seenivasan and Narayanan, 2022; Marom and Marder, 2023; Mittag et al, 2023; Stober et al, 2023; Yang and Prescott, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…The overall approach employed here could be used to build different heterogeneous populations of granule cells built with distinct morphologies and disparate sets of ion channels that emerge from respective experimental measurements that span a large set of characteristics from the same set of cells. Such analyses would enable a fundamental understanding of differences in heterogeneities, composition, extent of degeneracy in each state, and how they contribute to the physiology of the neurons and their networks (Ratté et al, 2014; Ratte and Prescott, 2016; Goaillard and Marder, 2021; Mishra and Narayanan, 2021d; Seenivasan and Narayanan, 2022; Marom and Marder, 2023; Mittag et al, 2023; Stober et al, 2023; Yang and Prescott, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…[68] as was previously done in Ref. [69]. The morphology was cut and subsequently repaired using our algorithm in Fig 8 . The model in Refs.…”
Section: Restoration Of Firing Behaviour In Repaired Mouse Morphologi...mentioning
confidence: 99%