Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland.
Program of Neuroscience, Centro de Investigación Médica Aplicada, Universidad de Navarra, Pamplona 31080, Spain.
eNeuro. 2023 Apr 20;10(4). doi: 10.1523/ENEURO.0406-22.2023. Print 2023 Apr.
Brain function depends on complex circuit interactions between excitatory and inhibitory neurons embedded in local and long-range networks. Systemic GABAA-receptor (GABAAR) or NMDA-receptor (NMDAR) modulation alters the excitatory-inhibitory balance (EIB), measurable with electroencephalography (EEG). However, EEG signatures are complex in localization and spectral composition. We developed and applied analytical tools to investigate the effects of two EIB modulators, MK801 (NMDAR antagonist) and diazepam (GABAAR modulator), on periodic and aperiodic EEG features in freely-moving male Sprague Dawley rats. We investigated how, across three brain regions, EEG features are correlated with EIB modulation. We found that the periodic component was composed of seven frequency bands that presented region-dependent and compound-dependent changes. The aperiodic component was also different between compounds and brain regions. Importantly, the parametrization into periodic and aperiodic components unveiled correlations between quantitative EEG and plasma concentrations of pharmacological compounds. MK-801 exposures were positively correlated with the slope of the aperiodic component. Concerning the periodic component, MK-801 exposures correlated negatively with the peak frequency of low-γ oscillations but positively with those of high-γ and high-frequency oscillations (HFOs). As for the power, θ and low-γ oscillations correlated negatively with MK-801, whereas mid-γ correlated positively. Diazepam correlated negatively with the knee of the aperiodic component, positively to β and negatively to low-γ oscillatory power, and positively to the modal frequency of θ, low-γ, mid-γ, and high-γ. In conclusion, correlations between exposures and pharmacodynamic effects can be better-understood thanks to the parametrization of EEG into periodic and aperiodic components. Such parametrization could be key in functional biomarker discovery.
大脑功能依赖于兴奋和抑制神经元在局部和长程网络中的复杂电路相互作用。全身 GABAA 受体(GABAAR)或 NMDA 受体(NMDAR)调节剂改变兴奋-抑制平衡(EIB),可通过脑电图(EEG)测量。然而,EEG 特征在定位和光谱组成方面很复杂。我们开发并应用了分析工具来研究两种 EIB 调节剂,MK801(NMDAR 拮抗剂)和地西泮(GABAAR 调节剂),对自由移动的雄性 Sprague Dawley 大鼠的周期性和非周期性 EEG 特征的影响。我们研究了 EEG 特征如何与 EIB 调节在三个脑区之间相关。我们发现,周期性成分由七个频率带组成,这些频率带呈现出区域依赖性和化合物依赖性变化。非周期性成分在化合物和脑区之间也不同。重要的是,将参数化为周期性和非周期性成分揭示了定量 EEG 与药物化合物血浆浓度之间的相关性。MK-801 暴露与非周期性成分的斜率呈正相关。关于周期性成分,MK-801 暴露与低γ 振荡的峰值频率呈负相关,但与高γ 和高频振荡(HFOs)呈正相关。至于功率,θ 和低γ 振荡与 MK-801 呈负相关,而中γ 呈正相关。地西泮与非周期性成分的膝部呈负相关,与β 呈正相关,与低γ 振荡功率呈负相关,与θ、低γ、中γ 和高γ 的模态频率呈正相关。总之,由于将 EEG 参数化为周期性和非周期性成分,因此可以更好地理解暴露与药效学效应之间的相关性。这种参数化可能是发现功能生物标志物的关键。