Gene coexpression patterns predict opiate-induced brain-state transitions

Abstract

Persistent alterations to neural circuitry may help to explain why opiate abuse liability is higher among individuals with a history of chronic exposure. In this study, we employ a unique combination of computational approaches to understand how opiate-induced reorganization of network connectivity is supported by transcriptional and structural features of the brain. We identify a persistent reduction in FOS correlation network strength following opiate dependence and determine that correlated gene expression is predictive of opiate-induced changes in network connectivity. Further, we identify brain regions that influence the transition between opiate-naïve and opiate-dependent states. These findings establish a link between gene expression and changes in brain connectivity in response to opioids.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 21, 2020
Source ID
10.1073/pnas.2003601117

Entities

People

  • Carmen Weidler
  • Danielle Bassett
  • Eli J Cornblath
  • Fabio Pasqualetti
  • Julia K Brynildsen
  • Julie Blendy
  • Kyla D. Mace

Organizations

  • Army Research Office
  • National Institute on Drug Abuse
  • National Science Foundation
  • RWTH Aachen University
  • University of California
  • University of Pennsylvania

Tags

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Neural Network Machine Learning.
  • Neurotrauma and Rehabilitation Medicine.