Irimia Andrei, Goh S-Y Matthew, Torgerson Carinna M, Stein Nathan R, Chambers Micah C, Vespa Paul M, Van Horn John D
The Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Clin Neurol Neurosurg. 2013 Oct;115(10):2159-65. doi: 10.1016/j.clineuro.2013.08.003. Epub 2013 Aug 12.
To inverse-localize epileptiform cortical electrical activity recorded from severe traumatic brain injury (TBI) patients using electroencephalography (EEG).
Three acute TBI cases were imaged using computed tomography (CT) and multimodal magnetic resonance imaging (MRI). Semi-automatic segmentation was performed to partition the complete TBI head into 25 distinct tissue types, including 6 tissue types accounting for pathology. Segmentations were employed to generate a finite element method model of the head, and EEG activity generators were modeled as dipolar currents distributed over the cortical surface.
We demonstrate anatomically faithful localization of EEG generators responsible for epileptiform discharges in severe TBI. By accounting for injury-related tissue conductivity changes, our work offers the most realistic implementation currently available for the inverse estimation of cortical activity in TBI.
Whereas standard localization techniques are available for electrical activity mapping in uninjured brains, they are rarely applied to acute TBI. Modern models of TBI-induced pathology can inform the localization of epileptogenic foci, improve surgical efficacy, contribute to the improvement of critical care monitoring and provide guidance for patient-tailored treatment. With approaches such as this, neurosurgeons and neurologists can study brain activity in acute TBI and obtain insights regarding injury effects upon brain metabolism and clinical outcome.
利用脑电图(EEG)对重度创伤性脑损伤(TBI)患者记录的癫痫样皮质电活动进行反向定位。
对3例急性TBI病例进行计算机断层扫描(CT)和多模态磁共振成像(MRI)检查。进行半自动分割,将完整的TBI头部划分为25种不同的组织类型,包括6种与病理相关的组织类型。利用分割结果生成头部的有限元方法模型,并将EEG活动发生器建模为分布在皮质表面的偶极电流。
我们展示了在重度TBI中对负责癫痫样放电的EEG发生器进行解剖学上准确的定位。通过考虑与损伤相关的组织电导率变化,我们的工作为TBI中皮质活动的反向估计提供了目前最逼真的实现方法。
虽然标准定位技术可用于未受伤大脑的电活动映射,但很少应用于急性TBI。TBI诱发病理的现代模型可以为致痫灶的定位提供信息,提高手术疗效,有助于改善重症监护监测,并为个性化治疗提供指导。通过这样的方法,神经外科医生和神经科医生可以研究急性TBI中的脑活动,并获得有关损伤对脑代谢和临床结果影响的见解。