Literature DB >> 30146766

Phase-amplitude coupling between interictal high-frequency activity and slow waves in epilepsy surgery.

Hirotaka Motoi1, Makoto Miyakoshi2, Taylor J Abel3, Jeong-Won Jeong1,4, Yasuo Nakai1, Ayaka Sugiura1, Aimee F Luat1,4, Rajkumar Agarwal1,4, Sandeep Sood5, Eishi Asano1,4.   

Abstract

OBJECTIVE: We hypothesized that the modulation index (MI), a summary measure of the strength of phase-amplitude coupling between high-frequency activity (>150 Hz) and the phase of slow waves (3-4 Hz), would serve as a useful interictal biomarker for epilepsy presurgical evaluation.
METHODS: We investigated 123 patients who underwent focal cortical resection following extraoperative electrocorticography recording and had at least 1 year of postoperative follow-up. We examined whether consideration of MI would improve the prediction of postoperative seizure outcome. MI was measured at each intracranial electrode site during interictal slow-wave sleep. We compared the accuracy of prediction of patients achieving International League Against Epilepsy class 1 outcome between the full multivariate logistic regression model incorporating MI in addition to conventional clinical, seizure onset zone (SOZ), and neuroimaging variables, and the reduced logistic regression model incorporating all variables other than MI.
RESULTS: Ninety patients had class 1 outcome at the time of most recent follow-up (mean follow-up = 5.7 years). The full model had a noteworthy outcome predictive ability, as reflected by regression model fit R2 of 0.409 and area under the curve (AUC) of receiver operating characteristic plot of 0.838. Incomplete resection of SOZ (P < 0.001), larger number of antiepileptic drugs at the time of surgery (P = 0.007), and larger MI in nonresected tissues relative to that in resected tissue (P = 0.020) were independently associated with a reduced probability of class 1 outcome. The reduced model had a lower predictive ability as reflected by R2 of 0.266 and AUC of 0.767. Anatomical variability in MI existed among nonepileptic electrode sites, defined as those unaffected by magnetic resonance imaging lesion, SOZ, or interictal spike discharges. With MI adjusted for anatomical variability, the full model yielded the outcome predictive ability of R2 of 0.422, AUC of 0.844, and sensitivity/specificity of 0.86/0.76. SIGNIFICANCE: MI during interictal recording may provide useful information for the prediction of postoperative seizure outcome. Wiley Periodicals, Inc.
© 2018 International League Against Epilepsy.

Entities:  

Keywords:  epileptogenic zone; high-frequency oscillations; invasive recording; irritative zone; video-EEG monitoring

Mesh:

Year:  2018        PMID: 30146766      PMCID: PMC6204289          DOI: 10.1111/epi.14544

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  47 in total

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2.  Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas.

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3.  Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves.

Authors:  Yutaka Nonoda; Makoto Miyakoshi; Alejandro Ojeda; Scott Makeig; Csaba Juhász; Sandeep Sood; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2016-04-06       Impact factor: 3.708

4.  High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery.

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6.  Avoiding the pitfalls of EEG interpretation in childhood epilepsy.

Authors:  E M Mizrahi
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7.  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
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Review 8.  Seizure outcomes after resective surgery for extra-temporal lobe epilepsy in pediatric patients.

Authors:  Dario J Englot; Jonathan D Breshears; Peter P Sun; Edward F Chang; Kurtis I Auguste
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Journal:  Front Hum Neurosci       Date:  2010-10-29       Impact factor: 3.169

10.  High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis.

Authors:  Yvonne Höller; Raoul Kutil; Lukas Klaffenböck; Aljoscha Thomschewski; Peter M Höller; Arne C Bathke; Julia Jacobs; Alexandra C Taylor; Raffaele Nardone; Eugen Trinka
Journal:  Front Hum Neurosci       Date:  2015-10-20       Impact factor: 3.169

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  14 in total

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Authors:  Somin Lee; Naoum P Issa; Sandra Rose; James X Tao; Peter C Warnke; Vernon L Towle; Wim van Drongelen; Shasha Wu
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2.  Resting-State SEEG May Help Localize Epileptogenic Brain Regions.

Authors:  Sarah E Goodale; Hernán F J González; Graham W Johnson; Kanupriya Gupta; William J Rodriguez; Robert Shults; Baxter P Rogers; John D Rolston; Benoit M Dawant; Victoria L Morgan; Dario J Englot
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3.  Sevoflurane-based enhancement of phase-amplitude coupling and localization of the epileptogenic zone.

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4.  Beyond rates: time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone.

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5.  Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery.

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6.  Dynamic tractography: Integrating cortico-cortical evoked potentials and diffusion imaging.

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7.  Scalp EEG interictal high frequency oscillations as an objective biomarker of infantile spasms.

Authors:  Hiroki Nariai; Shaun A Hussain; Danilo Bernardo; Hirotaka Motoi; Masaki Sonoda; Naoto Kuroda; Eishi Asano; Jimmy C Nguyen; David Elashoff; Raman Sankar; Anatol Bragin; Richard J Staba; Joyce Y Wu
Journal:  Clin Neurophysiol       Date:  2020-09-03       Impact factor: 3.708

8.  Prediction of postoperative deficits using an improved diffusion-weighted imaging maximum a posteriori probability analysis in pediatric epilepsy surgery.

Authors:  Min-Hee Lee; Nolan B O'Hara; Yasuo Nakai; Aimee F Luat; Csaba Juhasz; Sandeep Sood; Eishi Asano; Jeong-Won Jeong
Journal:  J Neurosurg Pediatr       Date:  2019-02-22       Impact factor: 2.713

9.  The value of intra-operative electrographic biomarkers for tailoring during epilepsy surgery: from group-level to patient-level analysis.

Authors:  Matteo Demuru; Stiliyan Kalitzin; Willemiek Zweiphenning; Dorien van Blooijs; Maryse Van't Klooster; Pieter Van Eijsden; Frans Leijten; Maeike Zijlmans
Journal:  Sci Rep       Date:  2020-09-04       Impact factor: 4.379

10.  Seizure localization using pre ictal phase-amplitude coupling in intracranial electroencephalography.

Authors:  Nuria E Cámpora; Camilo J Mininni; Silvia Kochen; Sergio E Lew
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

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