Department of Neurology, University of Texas Health Science Center at Houston Houston, TX, USA.
Front Neurol. 2012 Oct 10;3:138. doi: 10.3389/fneur.2012.00138. eCollection 2012.
Source estimates performed using a single equivalent current dipole (ECD) model for interictal epileptiform discharges (IEDs) which appear unifocal have proven highly accurate in neocortical epilepsies, falling within millimeters of that demonstrated by electrocorticography. Despite this success, the single ECD solution is limited, best describing sources which are temporally stable. Adapted from the field of optics, optical flow analysis of distributed source models of MEG or EEG data has been proposed as a means to estimate the current motion field of cortical activity, or "cortical flow." The motion field so defined can be used to identify dynamic features of interest such as patterns of directional flow, current sources, and sinks. The Helmholtz-Hodge Decomposition (HHD) is a technique frequently applied in fluid dynamics to separate a flow pattern into three components: (1) a non-rotational scalar potential U describing sinks and sources, (2) a non-diverging scalar potential A accounting for vortices, and (3) an harmonic vector field H. As IEDs seem likely to represent periods of highly correlated directional flow of cortical currents, the U component of the HHD suggests itself as a way to characterize spikes in terms of current sources and sinks. In a series of patients with refractory epilepsy who were studied with magnetoencephalography as part of their evaluation for possible resective surgery, spike localization with ECD was compared to HHD applied to an optical flow analysis of the same spike. Reasonable anatomic correlation between the two techniques was seen in the majority of patients, suggesting that this method may offer an additional means of characterization of epileptic discharges.
针对发作间期癫痫样放电(IED)看似单发的源估计,使用单个等效电流偶极子(ECD)模型已被证明在新皮层癫痫中非常准确,其定位精度在皮层电图所展示的范围内毫米。尽管取得了这一成功,但单个 ECD 解决方案是有限的,最好描述的是时间稳定的源。受光学领域的启发,已提出对 MEG 或 EEG 数据的分布式源模型进行光流分析,作为估计皮质活动电流运动场(或“皮质流”)的一种手段。如此定义的运动场可用于识别感兴趣的动态特征,例如方向流、电流源和汇的模式。Helmholtz-Hodge 分解(HHD)是一种常用于流体动力学的技术,可将流型分解为三个分量:(1)描述源和汇的非旋转标量势 U,(2)解释涡流的非散度标量势 A,以及(3)调和矢量场 H。由于 IED 似乎代表皮质电流高度相关的方向流动的时期,HHD 的 U 分量本身就可以作为一种根据电流源和汇来描述尖峰的方法。在一系列接受磁共振脑磁图检查的难治性癫痫患者中,作为可能进行切除术手术评估的一部分,使用 ECD 进行尖峰定位与应用于同一尖峰的光流分析的 HHD 进行了比较。在大多数患者中,两种技术之间存在合理的解剖相关性,这表明该方法可能提供了另一种癫痫放电特征描述的方法。