School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
J Clin Neurophysiol. 2013 Aug;30(4):313-28. doi: 10.1097/WNP.0b013e31829dda27.
The present study aimed to test the feasibility of a novel neuroimaging technique, that is, variation-based sparse cortical current density (VB-SCCD) imaging algorithm, in noninvasively estimating location and extent of epileptic sources from interictal magnetoencephalography (MEG) data.
A total of 108 interictal spikes from 3 partial epilepsy patients were selected to perform VB-SCCD source analysis. Cortical sources were identified at spike peaks, rising phases, and entire spikes, respectively, from all interictal spikes in each patient, to estimate source locations and extents, and validated using presurgical evaluation data. Other source analysis methods, that is, minimum norm estimate and sparse source imaging were also performed for comparison.
Cortical sources reconstructed by VB-SCCD that are consistent with clinical presurgical evaluation outcomes have detection rates of 65.8% at spike peaks, 85.1% during rising phases, and 92.6% in entire spikes. Stable spatiotemporal patterns of reconstructed cortical sources were also obtained using VB-SCCD, which provide more insights about the formation and propagation of interictal epileptic activity.
Our present results suggest that the VB-SCCD technique has the capability in estimating location and extent of epileptic sources of interictal spikes and is promising to become a valuable noninvasive tool in assisting presurgical planning for partial epilepsy patients.
本研究旨在测试一种新的神经影像学技术，即基于变分稀疏皮质电流密度（VB-SCCD）成像算法，从间歇性脑磁图（MEG）数据无创性估计癫痫源的位置和范围的可行性。
选择 3 名部分性癫痫患者的 108 个间歇性棘波进行 VB-SCCD 源分析。从每位患者的所有间歇性棘波中分别在棘波峰值、上升相和整个棘波时识别皮质源，以估计源位置和范围，并使用术前评估数据进行验证。还进行了其他源分析方法，即最小范数估计和稀疏源成像的比较。
VB-SCCD 重建的皮质源与临床术前评估结果一致，在棘波峰值时的检测率为 65.8%，在上升相时为 85.1%，在整个棘波时为 92.6%。VB-SCCD 还获得了重建皮质源的稳定时空模式，这为间歇性癫痫活动的形成和传播提供了更多的见解。
我们目前的结果表明，VB-SCCD 技术具有估计间歇性棘波癫痫源位置和范围的能力，有望成为辅助部分性癫痫患者术前规划的一种有价值的无创工具。
