Pastor Jesús, Vega-Zelaya Lorena
Clinical Neurophysiology and Instituto de Investigación Biomédica, Hospital Universitario de La Princesa, C/Diego de León 62, 28006 Madrid, Spain.
Brain Sci. 2020 Dec 17;10(12):1002. doi: 10.3390/brainsci10121002.
Our objective was to describe the electrophysiological properties of the extracellular action potential (AP) picked up through microelectrode recordings (MERs). Five patients were operated under general anesthesia for centromedian deep brain stimulation (DBS). APs from the same cell were pooled to obtain a mean AP (mAP). The amplitudes and durations for all 2/3 phases were computed from the mAP, together with the maximum () and minimum () values of the first derivative, as well as the slopes of different phases during repolarization. The mAPs are denominated according to the phase polarity (P/N for positive/negative). We obtained a total of 1109 mAPs, most of the positive (98.47%) and triphasic (93.69%) with a small / deflection () before depolarization. The percentage of the different types of mAPs was different for the nuclei addressed. The relationship between and the depolarizing phase is specific. The descending phase of the first derivative identified different phases during the repolarizing period. We observed a high correlation between and the amplitudes of either depolarization or repolarization phases. Human thalamic nuclei differ in their electrophysiological properties of APs, even under general anesthesia. Capacitive current, which is probably responsible for , is very common in thalamic APs. Moreover, subtle differences during repolarization are neuron-specific.
我们的目标是描述通过微电极记录(MERs)获取的细胞外动作电位(AP)的电生理特性。五名患者在全身麻醉下接受中央中脑深部脑刺激(DBS)手术。将来自同一细胞的动作电位进行汇总以获得平均动作电位(mAP)。从平均动作电位计算出所有2/3相的幅度和持续时间,以及一阶导数的最大值()和最小值(),以及复极化期间不同相的斜率。平均动作电位根据相极性(正/负用P/N表示)命名。我们总共获得了1109个平均动作电位,其中大多数为正向(98.47%)和三相(93.69%),在去极化前有一个小的/偏转()。针对不同核团,不同类型平均动作电位的百分比有所不同。与去极化相之间的关系是特定的。一阶导数的下降阶段确定了复极化期间的不同阶段。我们观察到与去极化或复极化相的幅度之间存在高度相关性。即使在全身麻醉下,人类丘脑核团的动作电位电生理特性也存在差异。可能与相关的电容电流在丘脑动作电位中非常常见。此外,复极化期间的细微差异是神经元特异性的。