Anesthetic State-Dependent Bidirectional Control of States of Consciousness via Heterogeneous Medial Septum to Ventral Tegmental Area Circuits under Sevoflurane in Mice
Abstract
General anesthesia (GA) induces reversible unconsciousness for surgery, yet mechanisms underlying bidirectional transitions of states of consciousness during GA remain largely unknown. Here, we focused on states of consciousness rather than contents of consciousness, which reflects the capacity for responsiveness to stimuli. Electroencephalography/electromyography was applied in both male and female mice to investigate states of consciousness during sevoflurane GA. We identified the population activity of glutamatergic neurons in the medial septum (MS) to change synchronously with altered states of consciousness during sevoflurane GA. Activation of glutamatergic MS neurons (MS Vglut2 ) or their projections in the ventral tegmental area (VTA) facilitated behavioral emergence and cortical activation during sevoflurane GA, while their inhibition deepened cortical inhibition. Nevertheless, we further identified anesthetic state-dependent dual control of states of consciousness by monosynaptic innervations from MS Vglut2 neurons to heterogeneous downstream VTA neurons. Specifically, optogenetic activation of MS-innervated glutamatergic VTA neurons promoted cortical activation during both continuous steady-state GA (CSSGA) and burst suppression (BS). With current stimulation protocol, optogenetic activation of MS-innervated dopaminergic VTA neurons promoted cortical activation mainly under CSSGA. Optogenetic activation of MS-innervated GABAergic VTA neurons enhanced cortical inhibition mainly under BS. Our findings reveal an anesthetic state-dependent mechanism where MS Vglut2 neurons bidirectionally regulate states of consciousness through heterogeneous VTA neurons, providing insights to the complexity in the regulation of states of consciousness under GA.
Article Details
Authors (18)
Jia-Yi Wu
Chi Cui
Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology
Xin-Yi Dai
Wei Wang
Dai-Qiang Liu
Hong Wu
Shao-Jie Gao
Long-Qing Zhang
Lin Liu
Wen-Lu Song
Ya-Qun Zhou
Pei Zhang
Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology
Bo Tian
Hubei Provincial Clinical Research Center for Alzheimer’s Disease, Brain Science and Advanced Technology Institute, Tianyou Hospital, School of Medicine, Wuhan University of Science and Technology
Shi-Ling Chen
Dan-Yang Chen
Ping Zhang
Wei Mei
Zhou-Ping Tang