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Elsevier, Clinical Neurophysiology, 1(128), p. 153-164

DOI: 10.1016/j.clinph.2016.11.007

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

Journal article published in 2017 by Evelien E. Geertsema, Maryse A. van ’t Klooster, Maryse A. van 't Klooster, Nicole E. C. van Klink, Frans S. S. Leijten, Peter C. van Rijen, Gerhard H. Visser, Stiliyan N. Kalitzin, Maeike Zijlmans ORCID
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This paper was not found in any repository, but could be made available legally by the author.

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Abstract

OBJECTIVE: We aimed to test the potential of auto-regressive model residual modulation (ARRm), an artefact-insensitive method based on non-harmonicity of the high-frequency signal, to identify epileptogenic tissue during surgery. METHODS: Intra-operative electrocorticography (ECoG) of 54 patients with refractory focal epilepsy were recorded pre- and post-resection at 2048Hz. The ARRm was calculated in one-minute epochs in which high-frequency oscillations (HFOs; fast ripples, 250-500Hz; ripples, 80-250Hz) and spikes were marked. We investigated the pre-resection fraction of HFOs and spikes explained by the ARRm (h(2)-index). A general ARRm threshold was set and used to compare the ARRm to surgical outcome in post-resection ECoG (Pearson X(2)). RESULTS: ARRm was associated strongest with the number of fast ripples in pre-resection ECoG (h(2)=0.80, P0.47 were associated with poor outcome at channel and patient level (both P