Literature DB >> 26620382

Interictal high-frequency oscillations (HFOs) as predictors of high frequency and conventional seizure onset zones.

Pradeep Modur1, Svjetlana Miocinovic1.   

Abstract

We investigated the relationship between the interictal high-frequency oscillations (HFOs) and the seizure onset zones (SOZs) defined by the ictal HFOs or conventional frequency activity (CFA), and evaluated the usefulness of the interictal HFOs as spatial markers of the SOZs. We analysed seizures showing discrete HFOs at onset on intracranial EEGs acquired at ≥1000-Hz sampling rate in a training cohort of 10 patients with temporal and extratemporal epilepsy. We classified each ictal channel as: HFO+ (HFOs at onset with subsequent evolution), HFO- (HFOs at onset without evolution), CFA (1.6-70-Hz activity at onset with evolution), or non-ictal. We defined the SOZs as: hSOZ (HFO+ channels only), hfo+&-SOZ (HFO+ and HFO- channels), and cSOZ (CFA channels). Using automated methods, we detected the interictal HFOs and extracted five features: density, connectivity, peak frequency, log power, and amplitude. We created logistic regression models using these features, and tested their performance in a separate replication cohort of three patients. The models containing the five interictal HFO features reliably differentiated the channels located inside the SOZ from those outside in the training cohort (p<0.001), reaching the highest accuracy for the classification of hSOZ. Log power and connectivity had the highest odds ratios, both being higher for the channels inside the SOZ compared with those outside the SOZ. In the replication cohort of novel patients, the same models differentiated the HFO+ from HFO- channels, and predicted the extents of the hSOZ and hfo+&-SOZ (F1 measure >0.5) but not the cSOZ. Our study shows that the interictal HFOs are useful in defining the spatial extent of the SOZ, and predicting whether or not a given channel in a novel patient would be involved in the seizure. The findings support the existence of an abnormal network of tightly-linked ictal and interictal HFOs in patients with intractable epilepsy.

Entities:  

Keywords:  epilepsy; high-frequency oscillations; intracranial EEG; seizure localization; seizure prediction

Mesh:

Year:  2015        PMID: 26620382      PMCID: PMC5674993          DOI: 10.1684/epd.2015.0774

Source DB:  PubMed          Journal:  Epileptic Disord        ISSN: 1294-9361            Impact factor:   1.819


  39 in total

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3.  Pitfalls of high-pass filtering for detecting epileptic oscillations: a technical note on "false" ripples.

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4.  Resection of individually identified high-rate high-frequency oscillations region is associated with favorable outcome in neocortical epilepsy.

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Review 5.  High-frequency oscillations as a new biomarker in epilepsy.

Authors:  Maeike Zijlmans; Premysl Jiruska; Rina Zelmann; Frans S S Leijten; John G R Jefferys; Jean Gotman
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6.  High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery.

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Journal:  Ann Neurol       Date:  2010-02       Impact factor: 10.422

7.  Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings.

Authors:  Andrew B Gardner; Greg A Worrell; Eric Marsh; Dennis Dlugos; Brian Litt
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8.  Resection of ictal high-frequency oscillations leads to favorable surgical outcome in pediatric epilepsy.

Authors:  Hisako Fujiwara; Hansel M Greiner; Ki Hyeong Lee; Katherine D Holland-Bouley; Joo Hee Seo; Todd Arthur; Francesco T Mangano; James L Leach; Douglas F Rose
Journal:  Epilepsia       Date:  2012-08-20       Impact factor: 5.864

9.  Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy.

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Journal:  Brain       Date:  2009-11-17       Impact factor: 13.501

Review 10.  Electrographic high-frequency activity and epilepsy.

Authors:  Premysl Jiruska; Andrew D Powell; Wei-Chih Chang; John G R Jefferys
Journal:  Epilepsy Res       Date:  2009-12-23       Impact factor: 3.045

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  3 in total

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Journal:  IEEE Trans Med Imaging       Date:  2018-05-15       Impact factor: 10.048

Review 2.  High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

Authors:  Peter Höller; Eugen Trinka; Yvonne Höller
Journal:  Comput Intell Neurosci       Date:  2018-08-07

3.  Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources.

Authors:  Zhengxiang Cai; Abbas Sohrabpour; Haiteng Jiang; Shuai Ye; Boney Joseph; Benjamin H Brinkmann; Gregory A Worrell; Bin He
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-27       Impact factor: 11.205

  3 in total

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