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...

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Main Authors: Adriana K. Cushnie, Wei Tang, Sarah R. Heilbronner
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/10/9083
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author Adriana K. Cushnie
Wei Tang
Sarah R. Heilbronner
author_facet Adriana K. Cushnie
Wei Tang
Sarah R. Heilbronner
author_sort Adriana K. Cushnie
collection DOAJ
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.
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spelling doaj.art-4dd7dd6b295148dab55b569c06e8f7072023-11-18T01:47:05ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-05-012410908310.3390/ijms24109083Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network PerspectiveAdriana K. Cushnie0Wei Tang1Sarah R. Heilbronner2Department of Neuroscience, University of Minnesota Twin Cities, 2-164 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USADepartment of Computer Science, Indiana University Bloomington, Bloomington, IN 47408, USADepartment of Neuroscience, University of Minnesota Twin Cities, 2-164 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USAHuman 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.https://www.mdpi.com/1422-0067/24/10/9083salience networkdefault mode networkaddictioninsulacingulate cortex
spellingShingle Adriana K. Cushnie
Wei Tang
Sarah R. Heilbronner
Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective
International Journal of Molecular Sciences
salience network
default mode network
addiction
insula
cingulate cortex
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 salience network
default mode network
addiction
insula
cingulate cortex
url https://www.mdpi.com/1422-0067/24/10/9083
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AT weitang connectingcircuitswithnetworksinaddictionneuroscienceasaliencenetworkperspective
AT sarahrheilbronner connectingcircuitswithnetworksinaddictionneuroscienceasaliencenetworkperspective