Non-harmonicity in high-frequency components of the intra-operative corticogram to delineate epileptogenic tissue during surgery

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• 作者：Evelien E. Geertsema^a ; ¹ ; Maryse A. van &rsquo ; t Klooster^b ; ¹ ; Nicole E.C. van Klink^b ; Frans S.S. Leijten^b ; Peter C. van Rijen^b ; Gerhard H. Visser^a ; Stiliyan N. Kalitzin^a ; Maeike Zijlmans^a ; ^b ; ^{mzijlmans@sein.nl}
• 关键词：ARRm ; autoregressive model residual modulation (novel algorithm) ; ARRmorig ; autoregressive model residual modulation (original algorithm) ; ECoG ; electrocorticogram ; FR ; fast ripples ; HFO ; high-frequency oscillation ; R ; ripples ; rn ; residual signal variance ; after modelling using an autoregressive model with order n ; S ; spikes
• 刊名：Clinical Neurophysiology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：128
• 期：1
• 页码：153-164
• 全文大小：3257 K
• 卷排序：128

文摘

An auto-regressive model residual modulation (ARRm) delineates epileptic tissue based on the non-harmonicity of the signal. Tissue with high ARRm corresponds to fast ripples and removal of this tissue relates to outcome. The ARRm can be used as real-time analysis tool during epilepsy surgery as it is fast and insensitive to subtle artefacts.