Literature DB >> 21900209

Time-frequency analysis of single pulse electrical stimulation to assist delineation of epileptogenic cortex.

Maryse A van 't Klooster1, Maeike Zijlmans, Frans S S Leijten, Cyrille H Ferrier, Michel J A M van Putten, Geertjan J M Huiskamp.   

Abstract

Epilepsy surgery depends on reliable pre-surgical markers of epileptogenic tissue. The current gold standard is the seizure onset zone in ictal, i.e. chronic, electrocorticography recordings. Single pulse electrical stimulation can evoke epileptic, spike-like responses in areas of seizure onset also recorded by electrocorticography. Recently, spontaneous pathological high-frequency oscillations (80-520 Hz) have been observed in the electrocorticogram that are related to epileptic spikes, but seem more specific for epileptogenic cortex. We wanted to see whether a quantitative electroencephalography analysis using time-frequency information including the higher frequency range could be applied to evoked responses by single pulse electrical stimulation, to enhance its specificity and clinical use. Electrocorticography data were recorded at a 2048-Hz sampling rate from 13 patients. Single pulse electrical stimulation (10 stimuli, 1 ms, 8 mA, 0.2 Hz) was performed stimulating pairs of adjacent electrodes. A time-frequency analysis based on Morlet wavelet transformation was performed in a [-1 s : 1 s] time interval around the stimulus and a frequency range of 10-520 Hz. Significant (P = 0.05) changes in power spectra averaged for 10 epochs were computed, resulting in event-related spectral perturbation images. In these images, time-frequency analysis of single pulse-evoked responses, in the range of 10-80 Hz for spikes, 80-250 Hz for ripples and 250-520 Hz for fast ripples, were scored by two observers independently. Sensitivity, specificity and predictive value of time-frequency single pulse-evoked responses in the three frequency ranges were compared with seizure onset zone and post-surgical outcome. In all patients, evoked responses included spikes, ripples and fast ripples. For the seizure onset zone, the median sensitivity of time-frequency single pulse-evoked responses decreased from 100% for spikes to 67% for fast ripples and the median specificity increased from 17% for spikes to 79% for fast ripples. A median positive predictive value for the evoked responses in the seizure onset zone of 17% was found for spikes, 26% for ripples and 37% for fast ripples. Five out of seven patients with <50% of fast ripples removed by resection had a poor outcome. A wavelet transform-based time-frequency analysis of single pulse electrical stimulation reveals evoked responses in the frequency range of spikes, ripples and fast ripples. We demonstrate that time-frequency analysis of single pulse electrical stimulation can assist in delineation of the epileptogenic cortex using time-frequency single pulse-evoked fast ripples as a potential new marker.

Entities:  

Mesh:

Year:  2011        PMID: 21900209     DOI: 10.1093/brain/awr211

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  38 in total

1.  Intrainsular functional connectivity in human.

Authors:  Talal Almashaikhi; Sylvain Rheims; Karine Ostrowsky-Coste; Alexandra Montavont; Julien Jung; Julitta De Bellescize; Alexis Arzimanoglou; Pascal Keo Kosal; Marc Guénot; Olivier Bertrand; Philippe Ryvlin
Journal:  Hum Brain Mapp       Date:  2013-09-12       Impact factor: 5.038

Review 2.  High-frequency oscillations: The state of clinical research.

Authors:  Birgit Frauscher; Fabrice Bartolomei; Katsuhiro Kobayashi; Jan Cimbalnik; Maryse A van 't Klooster; Stefan Rampp; Hiroshi Otsubo; Yvonne Höller; Joyce Y Wu; Eishi Asano; Jerome Engel; Philippe Kahane; Julia Jacobs; Jean Gotman
Journal:  Epilepsia       Date:  2017-06-30       Impact factor: 5.864

3.  Tuning face perception with electrical stimulation of the fusiform gyrus.

Authors:  Corey J Keller; Ido Davidesco; Pierre Megevand; Fred A Lado; Rafael Malach; Ashesh D Mehta
Journal:  Hum Brain Mapp       Date:  2017-03-27       Impact factor: 5.038

4.  Cortico-cortical and motor evoked potentials to single and paired-pulse stimuli: An exploratory transcranial magnetic and intracranial electric brain stimulation study.

Authors:  Sébastien Boulogne; Nathalie Andre-Obadia; Vasilios K Kimiskidis; Philippe Ryvlin; Sylvain Rheims
Journal:  Hum Brain Mapp       Date:  2016-11       Impact factor: 5.038

5.  Effects of depth electrode montage and single-pulse electrical stimulation sites on neuronal responses and effective connectivity.

Authors:  Takumi Mitsuhashi; Masaki Sonoda; Hirotaka Iwaki; Aimee F Luat; Sandeep Sood; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2020-10-14       Impact factor: 3.708

6.  A systematic exploration of parameters affecting evoked intracranial potentials in patients with epilepsy.

Authors:  Bornali Kundu; Tyler S Davis; Brian Philip; Elliot H Smith; Amir Arain; Angela Peters; Blake Newman; Christopher R Butson; John D Rolston
Journal:  Brain Stimul       Date:  2020-06-03       Impact factor: 8.955

7.  Clinical significance and developmental changes of auditory-language-related gamma activity.

Authors:  Katsuaki Kojima; Erik C Brown; Robert Rothermel; Alanna Carlson; Darren Fuerst; Naoyuki Matsuzaki; Aashit Shah; Marie Atkinson; Maysaa Basha; Sandeep Mittal; Sandeep Sood; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2012-11-08       Impact factor: 3.708

8.  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

9.  Cortico-cortical evoked potentials and stimulation-elicited gamma activity preferentially propagate from lower- to higher-order visual areas.

Authors:  Naoyuki Matsuzaki; Csaba Juhász; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2013-03-20       Impact factor: 3.708

Review 10.  Electrophysiological biomarkers of epilepsy.

Authors:  Richard J Staba; Matt Stead; Gregory A Worrell
Journal:  Neurotherapeutics       Date:  2014-04       Impact factor: 7.620

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.