Neuroscience Division, School of Bioscience, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK.
CNS Neurosci Ther. 2024 Mar;30(3):e14204. doi: 10.1111/cns.14204. Epub 2023 Apr 10.
Recurrent network activity in corticothalamic circuits generates physiological and pathological EEG waves. Many computer models have simulated spike-and-wave discharges (SWDs), the EEG hallmark of absence seizures (ASs). However, these models either provided detailed simulated activity only in a selected territory (i.e., cortical or thalamic) or did not test whether their corticothalamic networks could reproduce the physiological activities that are generated by these circuits.
Using a biophysical large-scale corticothalamic model that reproduces the full extent of EEG sleep waves, including sleep spindles, delta, and slow (<1 Hz) waves, here we investigated how single abnormalities in voltage- or transmitter-gated channels in the neocortex or thalamus led to SWDs.
We found that a selective increase in the tonic γ-aminobutyric acid type A receptor (GABA-A) inhibition of first-order thalamocortical (TC) neurons or a selective decrease in cortical phasic GABA-A inhibition is sufficient to generate ~4 Hz SWDs (as in humans) that invariably start in neocortical territories. Decreasing the leak conductance of higher-order TC neurons leads to ~7 Hz SWDs (as in rodent models) while maintaining sleep spindles at 7-14 Hz.
By challenging key features of current mechanistic views, this simulated ictal corticothalamic activity provides novel understanding of ASs and makes key testable predictions.
皮质丘脑回路中的复发性网络活动产生生理和病理 EEG 波。许多计算机模型已经模拟了棘慢波放电(SWD),这是失神发作(AS)的 EEG 标志。然而,这些模型要么仅在选定的区域(即皮质或丘脑)提供详细的模拟活动,要么没有测试其皮质丘脑网络是否能够再现由这些回路产生的生理活动。
我们使用了一种生物物理的大规模皮质丘脑模型,该模型再现了 EEG 睡眠波的全部范围,包括睡眠纺锤波、δ波和慢波(<1 Hz),在这里我们研究了皮质或丘脑中电压或递质门控通道的单一异常如何导致 SWD。
我们发现,选择性增加第一级丘脑皮质(TC)神经元的紧张性γ-氨基丁酸 A 型受体(GABA-A)抑制,或选择性降低皮质相位 GABA-A 抑制足以产生4 Hz 的 SWD(如在人类中),这些 SWD 总是从新皮质区域开始。降低高阶 TC 神经元的漏导可导致7 Hz 的 SWD(如在啮齿动物模型中),同时保持 7-14 Hz 的睡眠纺锤波。
通过挑战当前机制观点的关键特征,这种模拟的发作性皮质丘脑活动为 AS 提供了新的理解,并提出了关键的可测试预测。