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Modelling thalamocortical circuitry shows that visually induced LTP changes laminar connectivity in human visual cortex

Sumner, Rachael L., Spriggs, Meg J. and Shaw, Alexander D. 2021. Modelling thalamocortical circuitry shows that visually induced LTP changes laminar connectivity in human visual cortex. PLoS Computational Biology 17 (1) , e1008414. 10.1371/journal.pcbi.1008414

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Abstract

Neuroplasticity is essential to learning and memory in the brain; it has therefore also been implicated in numerous neurological and psychiatric disorders, making measuring the state of neuroplasticity of foremost importance to clinical neuroscience. Long-term potentiation (LTP) is a key mechanism of neuroplasticity and has been studied extensively, and invasively in non-human animals. Translation to human application largely relies on the validation of non-invasive measures of LTP. The current study presents a generative thalamocortical computational model of visual cortex for investigating and replicating interlaminar connectivity changes using non-invasive EEG recording of humans. The model is combined with a commonly used visual sensory LTP paradigm and fit to the empirical EEG data using dynamic causal modelling. The thalamocortical model demonstrated remarkable accuracy recapitulating post-tetanus changes seen in invasive research, including increased excitatory connectivity from thalamus to layer IV and from layer IV to II/III, established major sites of LTP in visual cortex. These findings provide justification for the implementation of the presented thalamocortical model for ERP research, including to provide increased detail on the nature of changes that underlie LTP induced in visual cortex. Future applications include translating rodent findings to non-invasive research in humans concerning deficits to LTP that may underlie neurological and psychiatric disease.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Cardiff University Brain Research Imaging Centre (CUBRIC)
Additional Information: This is an open access article distributed under the terms of the Creative Commons Attribution License
Publisher: Public Library of Science
ISSN: 1553-734X
Funders: Wellcome Trust
Date of First Compliant Deposit: 26 October 2020
Date of Acceptance: 5 October 2020
Last Modified: 26 Feb 2021 11:29
URI: http://orca.cf.ac.uk/id/eprint/135942

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