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Higher neuronal discharge rate in the motor area of the subthalamic nucleus of parkinsonian patients

机译:帕金森病患者丘脑下核运动区神经元放电率更高

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In Parkinsons disease, pathological synchronous oscillations divide the subthalamic nucleus (STN) of patients into a dorsolateral oscillatory region and ventromedial nonoscillatory region. This bipartite division reflects the motor vs. the nonmotor (associative/limbic) subthalamic areas, respectively. However, significant topographic differences in the neuronal discharge rate between these two STN subregions in Parkinsonian patients is still controversial. In this study, 119 STN microelectrode trajectories (STN length 2 mm, mean 5.32 mm) with discernible oscillatory and nonoscillatory regions were carried on 60 patients undergoing deep brain stimulation surgery for Parkinsons disease. 2,137 and 2,152 multiunit stable signals were recorded (recording duration 10 s, mean 21.25 s) within the oscillatory and nonoscillatory STN regions, respectively. Spike detection and sorting were applied offline on every multiunit stable signal using an automatic method with systematic quantification of the isolation quality (range 01) of the identified units. In all, 3,094 and 3,130 units were identified in the oscillatory and nonoscillatory regions, respectively. On average, the discharge rate of better-isolated neurons (isolation score 0.70) was higher in the oscillatory region than the nonoscillatory region (44.55 0.87 vs. 39.97 0.77 spikes/s, N 665 and 761, respectively). The discharge rate of the STN neurons was positively correlated to the strength of their own and their surrounding 13- to 30-Hz beta oscillatory activity. Therefore, in the Parkinsonian STN, beta oscillations and higher neuronal discharge rate are correlated and coexist in the motor area of the STN compared with its associative/limbic area.
机译:在帕金森病中,病理同步振荡将患者的丘脑下核(STN)分为背外侧振荡区和腹侧非振荡区。这种二分法分别反映了运动区与非运动区(缔合/边缘)的下丘脑区域。然而,帕金森病患者这两个STN子区域之间的神经元放电率在地形上的显着差异仍存在争议。在这项研究中,对60例接受帕金森病脑深部刺激手术的患者进行了119条STN微电极轨迹(STN长度2 mm,平均5.32 mm),该轨迹具有明显的振荡和非振荡区域。在振荡和非振荡STN区域分别记录了2137个和2152个多单元稳定信号(记录持续时间10 s,平均21.25 s)。使用自动方法对系统识别出的单元的隔离质量(范围01)进行量化,对每个多单元稳定信号离线应用峰值检测和分类。在振荡区域和非振荡区域中,总共识别出3,094个和3,130个单位。平均而言,振荡区域中隔离度更好的神经元的放电率(隔离度分数为0.70)高于非振荡区域(分别为44.55 0.87和39.97 0.77峰值/秒,N 665和761)。 STN神经元的放电速率与其自身的强度以及周围13至30 Hz的β振荡活动呈正相关。因此,在帕金森病性STN中,β振荡和较高的神经元放电率在关联性/边缘性区域中与STN的运动区域相关并共存。

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