Spectral bandwidth of interictal fast epileptic activity characterizes the seizure onset zone.

Spectral bandwidth of interictal fast epileptic activity characterizes the seizure onset zone.
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DOI:
10.1016/j.nicl.2017.11.021
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发表时间:
2018
期刊:
NeuroImage. Clinical
影响因子:
--
通讯作者:
Ball T
Ball T
中科院分区:
其他
文献类型:
--
作者:
Heers M;Helias M;Hedrich T;Dümpelmann M;Schulze-Bonhage A;Ball T

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癫痫术前评估的首要目的是划定癫痫发作区(SOZ)。越来越多的证据表明,发作间期(即癫痫发作之间)发生的快速癫痫活动(FEA,14-250 Hz)主要位于SOZ内。目前,它是未知的,哪一个频段的有限元分析在识别SOZ表现最好,虽然以前的研究表明,最高的一致性的频谱变化与SOZ的高频变化。我们怀疑FEA反映了局部皮层兴奋抑制神经网络中的阻尼振荡,SOZ中的发作间期FEA是振荡阻尼降低的结果。因此,我们预测在发作间期FEA事件期间谱峰幅度增加的同时谱带宽变窄。为了验证这一假设,我们评估了13例局灶性癫痫患者发作间期FEA中侵入性EEG(iEEG)记录的频谱变化。在FEA过程中β和γ波段变化(14-250 Hz)的相对光谱中,我们发现SOZ内的光谱峰确实明显更窄,其功率变化明显高于SOZ外。与此相反,峰值频率没有不同的内部和外部的SOZ。我们的研究结果表明,在有限元分析的频谱调制的带宽和功率的变化都有助于本地化的SOZ。我们提出的频谱带宽作为新的信息源的EEG数据的评估。有创EEG频谱带宽变化在癫痫发作区内外不同。侵入性EEG频谱变化的峰值频率没有提供信息。阻尼振荡器模型解释了观察到的光谱带宽变化。光谱带宽的变化是一种新的诊断功能。
The foremost aim of presurgical epilepsy evaluation is the delineation of the seizure onset zone (SOZ). There is increasing evidence that fast epileptic activity (FEA, 14–250 Hz) occurring interictally, i.e. between seizures, is predominantly localized within the SOZ. Currently it is unknown, which frequency band of FEA performs best in identifying the SOZ, although prior studies suggest highest concordance of spectral changes with the SOZ for high frequency changes. We suspected that FEA reflects dampened oscillations in local cortical excitatory-inhibitory neural networks, and that interictal FEA in the SOZ is a consequence of reduced oscillatory damping. We therefore predict a narrowing of the spectral bandwidth alongside increased amplitudes of spectral peaks during interictal FEA events. To test this hypothesis, we evaluated spectral changes during interictal FEA in invasive EEG (iEEG) recordings of 13 patients with focal epilepsy. In relative spectra of beta and gamma band changes (14–250 Hz) during FEA, we found that spectral peaks within the SOZ indeed were significantly more narrow-banded and their power changes were significantly higher than outside the SOZ. In contrast, the peak frequency did not differ within and outside the SOZ. Our results show that bandwidth and power changes of spectral modulations during FEA both help localizing the SOZ. We propose the spectral bandwidth as new source of information for the evaluation of EEG data. Invasive EEG spectral bandwidth changes differ in and outside seizure onset zone. Peak frequency of invasive EEG spectral changes was not informative. Model of dampened oscillator explains the observed spectral bandwidth changes. Spectral bandwidth changes are a novel diagnostic feature.
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