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头皮 EEG 与颅内 EEG 和 SPECT 的时空源分析:2 岁儿童病例研究。

Spatiotemporal source analysis in scalp EEG vs. intracerebral EEG and SPECT: a case study in a 2-year-old child.

机构信息

GRAMFC, Inserm U 1105, EFSN pédiatrie, CHU Nord, place V.-Pauchet, 80054 Amiens, France.

出版信息

Neurophysiol Clin. 2012 Jun;42(4):207-24. doi: 10.1016/j.neucli.2011.11.001. Epub 2011 Dec 2.

Abstract

OBJECTIVE

This case study aims to demonstrate that spatiotemporal spike discrimination and source analysis are effective to monitor the development of sources of epileptic activity in time and space. Therefore, they can provide clinically useful information allowing a better understanding of the pathophysiology of individual seizures with time- and space-resolved characteristics of successive epileptic states, including interictal, preictal, postictal, and ictal states.

METHODS

High spatial resolution scalp EEGs (HR-EEG) were acquired from a 2-year-old girl with refractory central epilepsy and single-focus seizures as confirmed by intracerebral EEG recordings and ictal single-photon emission computed tomography (SPECT). Evaluation of HR-EEG consists of the following three global steps: (1) creation of the initial head model, (2) automatic spike and seizure detection, and finally (3) source localization. During the source localization phase, epileptic states are determined to allow state-based spike detection and localization of underlying sources for each spike. In a final cluster analysis, localization results are integrated to determine the possible sources of epileptic activity. The results were compared with the cerebral locations identified by intracerebral EEG recordings and SPECT.

RESULTS

The results obtained with this approach were concordant with those of MRI, SPECT and distribution of intracerebral potentials. Dipole cluster centres found for spikes in interictal, preictal, ictal and postictal states were situated an average of 6.3mm from the intracerebral contacts with the highest voltage. Both amplitude and shape of spikes change between states. Dispersion of the dipoles was higher in the preictal state than in the postictal state. Two clusters of spikes were identified. The centres of these clusters changed position periodically during the various epileptic states.

CONCLUSION

High-resolution surface EEG evaluated by an advanced algorithmic approach can be used to investigate the spatiotemporal characteristics of sources located in the epileptic focus. The results were validated by standard methods, ensuring good spatial resolution by MRI and SPECT and optimal temporal resolution by intracerebral EEG. Surface EEG can be used to identify different spike clusters and sources of the successive epileptic states. The method that was used in this study will provide physicians with a better understanding of the pathophysiological characteristics of epileptic activities. In particular, this method may be useful for more effective positioning of implantable intracerebral electrodes.

摘要

目的

本病例研究旨在证明时空尖峰辨别和源分析可有效监测癫痫活动源的时空发展。因此,它们可以提供具有时间和空间分辨率特征的连续癫痫状态的临床有用信息,包括发作间期、发作前期、发作后期和发作期,从而更好地理解个体发作的病理生理学。

方法

通过颅内 EEG 记录和发作期单光子发射计算机断层扫描(SPECT)确认,对一名患有难治性中枢性癫痫且仅有单一病灶发作的 2 岁女孩进行高空间分辨率头皮 EEG(HR-EEG)采集。HR-EEG 的评估包括以下三个全局步骤:(1)创建初始头部模型,(2)自动尖峰和发作检测,最后(3)源定位。在源定位阶段,确定癫痫状态以允许基于状态的尖峰检测和为每个尖峰定位潜在源。在最终的聚类分析中,整合定位结果以确定癫痫活动的可能源。将结果与颅内 EEG 记录和 SPECT 确定的脑区进行比较。

结果

该方法的结果与 MRI、SPECT 和颅内电位分布一致。在发作间期、发作前期、发作期和发作后期尖峰中发现的偶极子簇中心平均距离颅内记录最高电压的电极 6.3mm。状态之间尖峰的幅度和形状都发生变化。与发作后期相比,发作前期偶极子的离散度更高。确定了两个尖峰簇。这些簇的中心在各种癫痫状态期间周期性地改变位置。

结论

通过先进的算法方法评估高分辨率表面 EEG 可用于研究位于癫痫灶的源的时空特征。通过标准方法验证了结果,通过 MRI 和 SPECT 确保了良好的空间分辨率,通过颅内 EEG 确保了最佳的时间分辨率。表面 EEG 可用于识别不同的尖峰簇和连续癫痫状态的源。本研究中使用的方法将为医生提供对癫痫活动病理生理学特征的更好理解。特别是,该方法对于更有效地定位植入性颅内电极可能有用。

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