ESTIMATION OF DIRECTIONAL BRAIN ANISOTROPY FROM EEG SIGNALS USING THE MELLIN TRANSFORM AND IMPLICATIONS FOR SOURCE LOCALIZATION.

Catherine Stamoulis, Bernard S Chang
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引用次数: 1

Abstract

This paper presents a novel approach for the estimation of frequency-specific EEG scale modulations by the directional anisotropy of the brain, using the Mellin transform [1, 2, 3]. In the case of epileptic sources, the activity recorded by routine scalp EEG includes contributions not only from a seizure's primary propagation path but also from secondary paths and unrelated to the seizure activity. In addition, the anisotropy of the brain directionally modulates the seizure-related signal component. We estimated patient-specific direction-specific, frequency-locked scale shifts. During the ictal interval, these shifts occurred at frequencies ≥50 Hz. We further estimated the effect of scale modulations on time-delay estimation. Larger time-delays were estimated from EEGs that had been corrected by a scale factor prior to this estimation. Thus, corrections for non-linear scaling of EEGs may ultimately improve time-delay estimation for source localization, particularly in cases of seizures rapidly propagating to large areas of the brain.

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利用mellin变换估计脑电信号的定向各向异性及其对脑电信号源定位的意义。
本文提出了一种利用Mellin变换[1,2,3],利用大脑的方向各向异性来估计频率特异性脑电尺度调制的新方法。在癫痫源的情况下,常规头皮脑电图记录的活动不仅包括癫痫发作的主要传播途径,还包括与癫痫发作活动无关的次要传播途径。此外,大脑的各向异性定向调节与癫痫相关的信号成分。我们估计了特定于患者的特定方向,锁定频率的尺度位移。在临界时间内,这些变化发生在≥50 Hz的频率上。我们进一步估计了尺度调制对时延估计的影响。在此估计之前,通过比例因子校正的脑电图估计出更大的时延。因此,对脑电图非线性尺度的修正可能最终改善源定位的时延估计,特别是在癫痫发作迅速传播到大面积大脑的情况下。
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