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Gene coexpression patterns predict opiate-induced brain-state transitions

Julia K. Brynildsen, Kyla Mace, Eli J. Cornblath, Carmen Weidler, Fabio Pasqualetti, Danielle S. Bassett, Julie A. Blendy

2020Proceedings of the National Academy of Sciences36 citationsDOIOpen Access PDF

Abstract

Opioid addiction is a chronic, relapsing disorder associated with persistent changes in brain plasticity. Reconfiguration of neuronal connectivity may explain heightened abuse liability in individuals with a history of chronic drug exposure. To characterize network-level changes in neuronal activity induced by chronic opiate exposure, we compared FOS expression in mice that are morphine-naïve, morphine-dependent, or have undergone 4 wk of withdrawal from chronic morphine exposure, relative to saline-exposed controls. Pairwise interregional correlations in FOS expression data were used to construct network models that reveal a persistent reduction in connectivity strength following opiate dependence. Further, we demonstrate that basal gene expression patterns are predictive of changes in FOS correlation networks in the morphine-dependent state. Finally, we determine that regions of the hippocampus, striatum, and midbrain are most influential in driving transitions between opiate-naïve and opiate-dependent brain states using a control theoretic approach. This study provides a framework for predicting the influence of specific therapeutic interventions on the state of the opiate-dependent brain.

Topics & Concepts

OpiateNeurosciencePsychologyBiologyBioinformaticsMedicineInternal medicineReceptorReceptor Mechanisms and SignalingNeurotransmitter Receptor Influence on BehaviorFunctional Brain Connectivity Studies
Gene coexpression patterns predict opiate-induced brain-state transitions | Litcius