British Journal of AnaesthesiaNeurosciencePeer-reviewed journal article
Dynamic changes in rhythmic and arrhythmic neural signatures in the subthalamic nucleus induced by anaesthesia and intubation
Yongzhi HuangiD, Kejia HuiD, Alexander L. GreeniD, Xin MaiD, Martin J. GilliesiD, Shouyan WangiD, James J. FitzGeraldiD, Yixin PaniD, Sean MartiniD, Peng HuangiD, Shikun ZhaniD, Dianyou LiiD, Huiling TaniD, Tipu Zahed AziziD, Bomin SuniD
Abstract
BackgroundSubcortical structures including the basal ganglia have been proposed to be crucial for arousal, consciousness, and behavioural responsiveness. However, how basal ganglia contributes to the loss and recovery of consciousness during anaesthesia has not been well characterized.\n\nMethodsIn this study, using local field potentials (LFPs) from subthalamic nucleus (STN) and scalp electroencephalogram in 12 Parkinsons disease patients, we investigate STN neural signatures during propofol general anaesthesia and during intubation as an arousal intervention in anaesthesia.\n\nResultsPropofol-induced anaesthesia resulted in changes in multiple frequency bands in STN LFPs, including increased low-frequency activities (slow-wave oscillation, delta, theta, and alpha bands) and decreased higher-frequency activities. This was also accompanied by increased STN-frontal cortical coherence in alpha frequency band. Beta and high-gamma activities in the STN temporally increased during intubation compared to the status of loss of consciousness. We also show that the dynamic changes in the high frequency activities (80-180 Hz) in STN LFPs induced by propofol and intubation correlated with power-law exponent in the power spectra between 2 and 80 Hz.\n\nConclusionsOur findings suggest that anaesthesia and intubation induced changes in the STN LFPs in multiple frequency bands. They are also consistent with the hypothesis that the power-law exponent in the power spectra between 2 and 80 Hz reflect the excitation/inhibition balance in the STN, which is modulated by anaesthesia and intubation, and further modulate the high frequency activity.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
- 22
- FWCI
- 2.63
- Field percentile
- top 11%
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