| Literature DB >> 27346529 |
Rainbo Hultman1, Stephen D Mague1, Qiang Li1, Brittany M Katz1, Nadine Michel1, Lizhen Lin2, Joyce Wang1, Lisa K David1, Cameron Blount1, Rithi Chandy1, David Carlson3, Kyle Ulrich3, Lawrence Carin3, David Dunson4, Sunil Kumar1, Karl Deisseroth5, Scott D Moore1, Kafui Dzirasa6.
Abstract
Circuits distributed across cortico-limbic brain regions compose the networks that mediate emotional behavior. The prefrontal cortex (PFC) regulates ultraslow (<1 Hz) dynamics across these networks, and PFC dysfunction is implicated in stress-related illnesses including major depressive disorder (MDD). To uncover the mechanism whereby stress-induced changes in PFC circuitry alter emotional networks to yield pathology, we used a multi-disciplinary approach including in vivo recordings in mice and chronic social defeat stress. Our network model, inferred using machine learning, linked stress-induced behavioral pathology to the capacity of PFC to synchronize amygdala and VTA activity. Direct stimulation of PFC-amygdala circuitry with DREADDs normalized PFC-dependent limbic synchrony in stress-susceptible animals and restored normal behavior. In addition to providing insights into MDD mechanisms, our findings demonstrate an interdisciplinary approach that can be used to identify the large-scale network changes that underlie complex emotional pathologies and the specific network nodes that can be used to develop targeted interventions.Entities:
Keywords: chronic stress; major depressive disorder; neural networks; oscillations; synchrony
Mesh:
Year: 2016 PMID: 27346529 PMCID: PMC4986697 DOI: 10.1016/j.neuron.2016.05.038
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 17.173