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Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective
Human neuroimaging has demonstrated the existence of large-scale functional networks in the cerebral cortex consisting of topographically distant brain regions with functionally correlated activity. The salience network (SN), which is involved in detecting salient stimuli and mediating inter-network...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219092/ https://www.ncbi.nlm.nih.gov/pubmed/37240428 http://dx.doi.org/10.3390/ijms24109083 |
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author | Cushnie, Adriana K. Tang, Wei Heilbronner, Sarah R. |
author_facet | Cushnie, Adriana K. Tang, Wei Heilbronner, Sarah R. |
author_sort | Cushnie, Adriana K. |
collection | PubMed |
description | Human neuroimaging has demonstrated the existence of large-scale functional networks in the cerebral cortex consisting of topographically distant brain regions with functionally correlated activity. The salience network (SN), which is involved in detecting salient stimuli and mediating inter-network communication, is a crucial functional network that is disrupted in addiction. Individuals with addiction display dysfunctional structural and functional connectivity of the SN. Furthermore, while there is a growing body of evidence regarding the SN, addiction, and the relationship between the two, there are still many unknowns, and there are fundamental limitations to human neuroimaging studies. At the same time, advances in molecular and systems neuroscience techniques allow researchers to manipulate neural circuits in nonhuman animals with increasing precision. Here, we describe attempts to translate human functional networks to nonhuman animals to uncover circuit-level mechanisms. To do this, we review the structural and functional connections of the salience network and its homology across species. We then describe the existing literature in which circuit-specific perturbation of the SN sheds light on how functional cortical networks operate, both within and outside the context of addiction. Finally, we highlight key outstanding opportunities for mechanistic studies of the SN. |
format | Online Article Text |
id | pubmed-10219092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102190922023-05-27 Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective Cushnie, Adriana K. Tang, Wei Heilbronner, Sarah R. Int J Mol Sci Review Human neuroimaging has demonstrated the existence of large-scale functional networks in the cerebral cortex consisting of topographically distant brain regions with functionally correlated activity. The salience network (SN), which is involved in detecting salient stimuli and mediating inter-network communication, is a crucial functional network that is disrupted in addiction. Individuals with addiction display dysfunctional structural and functional connectivity of the SN. Furthermore, while there is a growing body of evidence regarding the SN, addiction, and the relationship between the two, there are still many unknowns, and there are fundamental limitations to human neuroimaging studies. At the same time, advances in molecular and systems neuroscience techniques allow researchers to manipulate neural circuits in nonhuman animals with increasing precision. Here, we describe attempts to translate human functional networks to nonhuman animals to uncover circuit-level mechanisms. To do this, we review the structural and functional connections of the salience network and its homology across species. We then describe the existing literature in which circuit-specific perturbation of the SN sheds light on how functional cortical networks operate, both within and outside the context of addiction. Finally, we highlight key outstanding opportunities for mechanistic studies of the SN. MDPI 2023-05-22 /pmc/articles/PMC10219092/ /pubmed/37240428 http://dx.doi.org/10.3390/ijms24109083 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Cushnie, Adriana K. Tang, Wei Heilbronner, Sarah R. Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective |
title | Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective |
title_full | Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective |
title_fullStr | Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective |
title_full_unstemmed | Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective |
title_short | Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective |
title_sort | connecting circuits with networks in addiction neuroscience: a salience network perspective |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219092/ https://www.ncbi.nlm.nih.gov/pubmed/37240428 http://dx.doi.org/10.3390/ijms24109083 |
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