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Serotonergic modulation of spatial working memory: predictions from a computational network model

Serotonin (5-HT) receptors of types 1A and 2A are strongly expressed in prefrontal cortex (PFC) neurons, an area associated with cognitive function. Hence, 5-HT could be effective in modulating prefrontal-dependent cognitive functions, such as spatial working memory (SWM). However, a direct associat...

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Autores principales: Cano-Colino, Maria, Almeida, Rita, Compte, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783948/
https://www.ncbi.nlm.nih.gov/pubmed/24133418
http://dx.doi.org/10.3389/fnint.2013.00071
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author Cano-Colino, Maria
Almeida, Rita
Compte, Albert
author_facet Cano-Colino, Maria
Almeida, Rita
Compte, Albert
author_sort Cano-Colino, Maria
collection PubMed
description Serotonin (5-HT) receptors of types 1A and 2A are strongly expressed in prefrontal cortex (PFC) neurons, an area associated with cognitive function. Hence, 5-HT could be effective in modulating prefrontal-dependent cognitive functions, such as spatial working memory (SWM). However, a direct association between 5-HT and SWM has proved elusive in psycho-pharmacological studies. Recently, a computational network model of the PFC microcircuit was used to explore the relationship between 5-HT and SWM (Cano-Colino et al., 2013). This study found that both excessive and insufficient 5-HT levels lead to impaired SWM performance in the network, and it concluded that analyzing behavioral responses based on confidence reports could facilitate the experimental identification of SWM behavioral effects of 5-HT neuromodulation. Such analyses may have confounds based on our limited understanding of metacognitive processes. Here, we extend these results by deriving three additional predictions from the model that do not rely on confidence reports. Firstly, only excessive levels of 5-HT should result in SWM deficits that increase with delay duration. Secondly, excessive 5-HT baseline concentration makes the network vulnerable to distractors at distances that were robust to distraction in control conditions, while the network still ignores distractors efficiently for low 5-HT levels that impair SWM. Finally, 5-HT modulates neuronal memory fields in neurophysiological experiments: Neurons should be better tuned to the cued stimulus than to the behavioral report for excessive 5-HT levels, while the reverse should happen for low 5-HT concentrations. In all our simulations agonists of 5-HT(1A) receptors and antagonists of 5-HT(2A) receptors produced behavioral and physiological effects in line with global 5-HT level increases. Our model makes specific predictions to be tested experimentally and advance our understanding of the neural basis of SWM and its neuromodulation by 5-HT receptors.
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spelling pubmed-37839482013-10-16 Serotonergic modulation of spatial working memory: predictions from a computational network model Cano-Colino, Maria Almeida, Rita Compte, Albert Front Integr Neurosci Neuroscience Serotonin (5-HT) receptors of types 1A and 2A are strongly expressed in prefrontal cortex (PFC) neurons, an area associated with cognitive function. Hence, 5-HT could be effective in modulating prefrontal-dependent cognitive functions, such as spatial working memory (SWM). However, a direct association between 5-HT and SWM has proved elusive in psycho-pharmacological studies. Recently, a computational network model of the PFC microcircuit was used to explore the relationship between 5-HT and SWM (Cano-Colino et al., 2013). This study found that both excessive and insufficient 5-HT levels lead to impaired SWM performance in the network, and it concluded that analyzing behavioral responses based on confidence reports could facilitate the experimental identification of SWM behavioral effects of 5-HT neuromodulation. Such analyses may have confounds based on our limited understanding of metacognitive processes. Here, we extend these results by deriving three additional predictions from the model that do not rely on confidence reports. Firstly, only excessive levels of 5-HT should result in SWM deficits that increase with delay duration. Secondly, excessive 5-HT baseline concentration makes the network vulnerable to distractors at distances that were robust to distraction in control conditions, while the network still ignores distractors efficiently for low 5-HT levels that impair SWM. Finally, 5-HT modulates neuronal memory fields in neurophysiological experiments: Neurons should be better tuned to the cued stimulus than to the behavioral report for excessive 5-HT levels, while the reverse should happen for low 5-HT concentrations. In all our simulations agonists of 5-HT(1A) receptors and antagonists of 5-HT(2A) receptors produced behavioral and physiological effects in line with global 5-HT level increases. Our model makes specific predictions to be tested experimentally and advance our understanding of the neural basis of SWM and its neuromodulation by 5-HT receptors. Frontiers Media S.A. 2013-09-26 /pmc/articles/PMC3783948/ /pubmed/24133418 http://dx.doi.org/10.3389/fnint.2013.00071 Text en Copyright © 2013 Cano-Colino, Almeida and Compte. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Cano-Colino, Maria
Almeida, Rita
Compte, Albert
Serotonergic modulation of spatial working memory: predictions from a computational network model
title Serotonergic modulation of spatial working memory: predictions from a computational network model
title_full Serotonergic modulation of spatial working memory: predictions from a computational network model
title_fullStr Serotonergic modulation of spatial working memory: predictions from a computational network model
title_full_unstemmed Serotonergic modulation of spatial working memory: predictions from a computational network model
title_short Serotonergic modulation of spatial working memory: predictions from a computational network model
title_sort serotonergic modulation of spatial working memory: predictions from a computational network model
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783948/
https://www.ncbi.nlm.nih.gov/pubmed/24133418
http://dx.doi.org/10.3389/fnint.2013.00071
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