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源自发作间期皮层脑电图尖峰的癫痫样活动的皮层激活图谱。

Cortical activation mapping of epileptiform activity derived from interictal ECoG spikes.

作者信息

Lai Yuan, van Drongelen Wim, Hecox Kurt, Frim David, Kohrman Michael, He Bin

机构信息

Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA.

出版信息

Epilepsia. 2007 Feb;48(2):305-14. doi: 10.1111/j.1528-1167.2006.00936.x.

Abstract

PURPOSE

To develop and evaluate a new cortical activation mapping (CAM) method to obtain the neuronal activation sequences from the cortical potential distributions.

METHODS

Interictal electrocorticogram (ECoG) recordings were analyzed for eight pediatric epilepsy patients to find the cortical activation maps, which were compared with the patients' seizure-onset zones identified from ictal ECoG recordings. Various relations between the local activation time and cortical potential were assumed. The most effective relation was determined by accessing their capability to predict the seizure-onset zone. Computer simulations using a moving dipole source model were also conducted to test the present approach in imaging the propagated cortical activity.

RESULTS

In both clinical data analysis and computer simulations, the maximal amplitude proved to be the most effective criterion with which to determine the local cortical activation time. The present method successfully predicted the seizure-onset zone in seven of eight patients by the CAM analysis of ECoG-recorded interictal spikes (IISs). For patients with multiple seizure foci, each focus can be revealed by analyzing IISs with different spatial patterns.

CONCLUSIONS

The time difference between spike peaks of the interictal events in the leading channel and other channels can be effectively defined as the local cortical activation time. The cortical activation mapping method based on this time latency can be used to predict the seizure-onset zones, suggesting that the present CAM method is useful to assist the presurgical evaluation for the epilepsy patients.

摘要

目的

开发并评估一种新的皮质激活映射(CAM)方法,以从皮质电位分布中获取神经元激活序列。

方法

对8例小儿癫痫患者的发作间期皮质脑电图(ECoG)记录进行分析,以找到皮质激活图,并将其与从发作期ECoG记录中确定的患者癫痫发作起始区进行比较。假设局部激活时间与皮质电位之间存在各种关系。通过评估它们预测癫痫发作起始区的能力来确定最有效的关系。还使用移动偶极子源模型进行了计算机模拟,以测试本方法对传播的皮质活动进行成像的能力。

结果

在临床数据分析和计算机模拟中,最大振幅被证明是确定局部皮质激活时间的最有效标准。通过对ECoG记录的发作间期棘波(IISs)进行CAM分析,本方法成功预测了8例患者中的7例癫痫发作起始区。对于有多个癫痫病灶的患者,通过分析具有不同空间模式的IISs可以揭示每个病灶。

结论

领先通道与其他通道发作间期事件的尖峰之间的时间差可以有效地定义为局部皮质激活时间。基于此时间延迟的皮质激活映射方法可用于预测癫痫发作起始区,表明本CAM方法有助于癫痫患者的术前评估。

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