Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective

Adriana K. Cushnie, Wei Tang, Sarah R. Heilbronner

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number9083
JournalInternational journal of molecular sciences
Volume24
Issue number10
DOIs
StatePublished - May 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • addiction
  • cingulate cortex
  • default mode network
  • insula
  • salience network

PubMed: MeSH publication types

  • Journal Article
  • Review

Fingerprint

Dive into the research topics of 'Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective'. Together they form a unique fingerprint.

Cite this