Gevins A, Le J, Leong H, McEvoy L K, Smith M E
EEG Systems Laboratory & SAM Technology, San Francisco, California 94105, USA.
J Clin Neurophysiol. 1999 May;16(3):204-13. doi: 10.1097/00004691-199905000-00002.
In most instances, traditional EEG methodology provides insufficient spatial detail to identify relationships between brain electrical events and structures and functions visualized by magnetic resonance imaging or positron emission tomography. This article describes a method called Deblurring for increasing the spatial detail of the EEG and for fusing neurophysiologic and neuroanatomic data. Deblurring estimates potentials near the outer convexity of the cortex using a realistic finite element model of the structure of a subject's head determined from their magnetic resonance images. Deblurring is not a source localization technique and thus makes no assumptions about the number or type of generator sources. The validity of Deblurring has been initially tested by comparing deblurred data with potentials measured with subdural grid recordings. Results suggest that deblurred topographic maps, registered with a subject's magnetic resonance imaging and rendered in three dimensions, provide better spatial detail than has heretofore been obtained with scalp EEG recordings. Example results are presented from research studies of somatosensory stimulation, movement, language, attention and working memory. Deblurred ictal EEG data are also presented, indicating that this technique may have future clinical application as an aid to seizure localization and surgical planning.
在大多数情况下，传统脑电图方法提供的空间细节不足以确定脑电活动与通过磁共振成像或正电子发射断层扫描可视化的结构和功能之间的关系。本文介绍了一种名为去模糊的方法，用于增加脑电图的空间细节以及融合神经生理学和神经解剖学数据。去模糊使用从受试者的磁共振图像确定的头部结构的真实有限元模型来估计皮质外凸面附近的电位。去模糊不是一种源定位技术，因此不对发生器源的数量或类型做任何假设。去模糊的有效性最初通过将去模糊数据与硬膜下网格记录测量的电位进行比较来测试。结果表明，与受试者的磁共振成像配准并以三维形式呈现的去模糊地形图提供了比迄今头皮脑电图记录更好的空间细节。给出了体感刺激、运动、语言、注意力和工作记忆研究的示例结果。还展示了去模糊的发作期脑电图数据，表明该技术未来可能在癫痫灶定位和手术规划辅助方面有临床应用。
