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通过多通道微电极记录对丘脑底核局部场电位进行时空频谱特征分析。

Spatio-spectral characterization of local field potentials in the subthalamic nucleus via multitrack microelectrode recordings.

作者信息

Telkes I, Ince N F, Onaran I, Abosch A

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:5561-4. doi: 10.1109/EMBC.2015.7319652.

Abstract

Deep brain stimulation of the subthalamic nucleus (STN) is a highly effective treatment for motor symptoms of Parkinson's disease. However, precise intraoperative localization of STN remains a procedural challenge. In the present study, local field potentials (LFPs) were recorded from three tracks during microelectrode recording-based (MER) targeting of STN, in five patients. The raw LFP data were preprocessed in original recording setup and then data quality was compared to data with common average derivation. The depth-frequency maps were generated according to preprocessing results for each patient and spectral characteristics of LFPs were explored at each depth across different tracks and different subjects. Spatio-spectral analysis of LFP was investigated to see whether LFP activity can be used for optimal track selection and STN border identification. Analysis show that monopolar derivation suffer from various artifacts and/or power line noise which makes the interpretation of target localization very difficult in most of the subjects. Unlikely, bipolar derivation helps to recover the neurological signals and investigation of signal characteristics. The frequency-vs-depth maps using a modified Welch periodogram with robust statistics, demonstrated that a median-based spectrum estimation approach eliminates outliers pretty well by preserving band-specific LFP activity. The results indicate that there is a clear oscillatory beta activity around 20 Hz in all subjects. 1/f normalization reveals the high frequency oscillations (HFOs) between 200-to-350 Hz in two subjects. It's noted that the optimal track selection is not consistent with the track having highest beta band oscillations in two out of five subjects. In conclusion, microelectrode-derived LFP recordings may provide an alternative approach to single unit activity (SUA)-based MER, for localizing the target STN borders during DBS surgery. Despite the small number of subjects, the present study adds to existing knowledge about LFP-based pathophysiology of PD and its target-based spectral activities.

摘要

丘脑底核(STN)的深部脑刺激是治疗帕金森病运动症状的一种高效疗法。然而,STN在术中的精确定位仍然是一个操作上的挑战。在本研究中,对5例患者在基于微电极记录(MER)靶向STN的过程中,从三条轨迹记录了局部场电位(LFP)。原始LFP数据在原始记录设置中进行预处理,然后将数据质量与采用公共平均参考的处理后数据进行比较。根据每位患者的预处理结果生成深度-频率图,并在不同轨迹和不同受试者的每个深度处探究LFP的频谱特征。对LFP进行时空频谱分析,以查看LFP活动是否可用于最佳轨迹选择和STN边界识别。分析表明,单极参考会受到各种伪迹和/或电源线噪声的影响,这使得在大多数受试者中对靶点定位的解读非常困难。相反,双极参考有助于恢复神经信号并研究信号特征。使用具有稳健统计量的改进韦尔奇周期图生成的频率-深度图表明,基于中位数的频谱估计方法通过保留特定频段的LFP活动能很好地消除异常值。结果表明,所有受试者在20 Hz左右都有明显的振荡β活动。1/f归一化显示,两名受试者在200至350 Hz之间存在高频振荡(HFO)。值得注意的是,在五名受试者中有两名,最佳轨迹选择与具有最高β频段振荡的轨迹不一致。总之,微电极记录的LFP可能为基于单个神经元活动(SUA)的MER提供一种替代方法,用于在DBS手术期间定位目标STN边界。尽管受试者数量较少,但本研究增加了关于基于LFP的帕金森病病理生理学及其基于靶点的频谱活动的现有知识。

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