Literature DB >> 29367441

Spatial variation in high-frequency oscillation rates and amplitudes in intracranial EEG.

Hari Guragain1, Jan Cimbalnik1, Matt Stead1, David M Groppe1, Brent M Berry1, Vaclav Kremen1, Daniel Kenney-Jung1, Jeffrey Britton1, Gregory A Worrell1, Benjamin H Brinkmann2.   

Abstract

OBJECTIVE: To assess the variation in baseline and seizure onset zone interictal high-frequency oscillation (HFO) rates and amplitudes across different anatomic brain regions in a large cohort of patients.
METHODS: Seventy patients who had wide-bandwidth (5 kHz) intracranial EEG (iEEG) recordings during surgical evaluation for drug-resistant epilepsy between 2005 and 2014 who had high-resolution MRI and CT imaging were identified. Discrete HFOs were identified in 2-hour segments of high-quality interictal iEEG data with an automated detector. Electrode locations were determined by coregistering the patient's preoperative MRI with an X-ray CT scan acquired immediately after electrode implantation and correcting electrode locations for postimplant brain shift. The anatomic locations of electrodes were determined using the Desikan-Killiany brain atlas via FreeSurfer. HFO rates and mean amplitudes were measured in seizure onset zone (SOZ) and non-SOZ electrodes, as determined by the clinical iEEG seizure recordings. To promote reproducible research, imaging and iEEG data are made freely available (msel.mayo.edu).
RESULTS: Baseline (non-SOZ) HFO rates and amplitudes vary significantly in different brain structures, and between homologous structures in left and right hemispheres. While HFO rates and amplitudes were significantly higher in SOZ than non-SOZ electrodes when analyzed regardless of contact location, SOZ and non-SOZ HFO rates and amplitudes were not separable in some lobes and structures (e.g., frontal and temporal neocortex).
CONCLUSIONS: The anatomic variation in SOZ and non-SOZ HFO rates and amplitudes suggests the need to assess interictal HFO activity relative to anatomically accurate normative standards when using HFOs for presurgical planning.
© 2018 American Academy of Neurology.

Entities:  

Mesh:

Year:  2018        PMID: 29367441      PMCID: PMC5818159          DOI: 10.1212/WNL.0000000000004998

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   11.800


  38 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

2.  Sources of error in comparing functional magnetic resonance imaging and invasive electrophysiological recordings.

Authors:  D L Hill; A D Smith; A Simmons; C R Maurer; T C Cox; R Elwes; M Brammer; D J Hawkes; C E Polkey
Journal:  J Neurosurg       Date:  2000-08       Impact factor: 5.115

3.  Strategies for brain shift evaluation.

Authors:  Peter Hastreiter; Christof Rezk-Salama; Grzegorz Soza; Michael Bauer; Günther Greiner; Rudolf Fahlbusch; Oliver Ganslandt; Christopher Nimsky
Journal:  Med Image Anal       Date:  2004-12       Impact factor: 8.545

4.  iELVis: An open source MATLAB toolbox for localizing and visualizing human intracranial electrode data.

Authors:  David M Groppe; Stephan Bickel; Andrew R Dykstra; Xiuyuan Wang; Pierre Mégevand; Manuel R Mercier; Fred A Lado; Ashesh D Mehta; Christopher J Honey
Journal:  J Neurosci Methods       Date:  2017-02-10       Impact factor: 2.390

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
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

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

Authors:  Julia Jacobs; Maeike Zijlmans; Rina Zelmann; Claude-Edouard Chatillon; Jeffrey Hall; André Olivier; François Dubeau; Jean Gotman
Journal:  Ann Neurol       Date:  2010-02       Impact factor: 10.422

7.  Very high-frequency oscillations (over 1000 Hz) of somatosensory-evoked potentials directly recorded from the human brain.

Authors:  Yuji Sakura; Kiyohito Terada; Keiko Usui; Koichi Baba; Naotaka Usui; Shuichi Umeoka; Miyako Yamaguchi; Kazumi Matsuda; Takayasu Tottori; Tadahiro Mihara; Fumihiro Nakamura; Yushi Inoue
Journal:  J Clin Neurophysiol       Date:  2009-12       Impact factor: 2.177

8.  High frequency oscillations and seizure frequency in patients with focal epilepsy.

Authors:  Maeike Zijlmans; Julia Jacobs; Rina Zelmann; François Dubeau; Jean Gotman
Journal:  Epilepsy Res       Date:  2009-04-29       Impact factor: 3.045

9.  Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data.

Authors:  Benjamin H Brinkmann; Mark R Bower; Keith A Stengel; Gregory A Worrell; Matt Stead
Journal:  J Neurosci Methods       Date:  2009-04-01       Impact factor: 2.390

10.  The CS algorithm: A novel method for high frequency oscillation detection in EEG.

Authors:  Jan Cimbálník; Angela Hewitt; Greg Worrell; Matt Stead
Journal:  J Neurosci Methods       Date:  2017-08-30       Impact factor: 2.390

View more
  15 in total

Review 1.  Localizing epileptogenic regions using high-frequency oscillations and machine learning.

Authors:  Shennan A Weiss; Zachary Waldman; Federico Raimondo; Diego Slezak; Mustafa Donmez; Gregory Worrell; Anatol Bragin; Jerome Engel; Richard Staba; Michael Sperling
Journal:  Biomark Med       Date:  2019-05-02       Impact factor: 2.851

2.  Multi-feature localization of epileptic foci from interictal, intracranial EEG.

Authors:  Jan Cimbalnik; Petr Klimes; Vladimir Sladky; Petr Nejedly; Pavel Jurak; Martin Pail; Robert Roman; Pavel Daniel; Hari Guragain; Benjamin Brinkmann; Milan Brazdil; Greg Worrell
Journal:  Clin Neurophysiol       Date:  2019-08-05       Impact factor: 3.708

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

Authors:  Michael D Nunez; Krit Charupanit; Indranil Sen-Gupta; Beth A Lopour; Jack J Lin
Journal:  J Neural Eng       Date:  2022-02-22       Impact factor: 5.043

4.  Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset.

Authors:  Erin C Conrad; Samuel B Tomlinson; Jeremy N Wong; Kelly F Oechsel; Russell T Shinohara; Brian Litt; Kathryn A Davis; Eric D Marsh
Journal:  Brain       Date:  2020-02-01       Impact factor: 13.501

5.  Detection of anomalous high-frequency events in human intracranial EEG.

Authors:  Krit Charupanit; Indranil Sen-Gupta; Jack J Lin; Beth A Lopour
Journal:  Epilepsia Open       Date:  2020-05-20

6.  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

7.  Inhibition of Death-associated Protein Kinase 1 protects against Epileptic Seizures in mice.

Authors:  Chen-Ling Gan; Yulian Zou; Yongfang Xia; Tao Zhang; Dongmei Chen; Guihua Lan; Yingxue Mei; Long Wang; Xindong Shui; Li Hu; Hekun Liu; Tae Ho Lee
Journal:  Int J Biol Sci       Date:  2021-06-11       Impact factor: 6.580

8.  Application of a convolutional neural network for fully-automated detection of spike ripples in the scalp electroencephalogram.

Authors:  Jessica K Nadalin; Uri T Eden; Xue Han; R Mark Richardson; Catherine J Chu; Mark A Kramer
Journal:  J Neurosci Methods       Date:  2021-06-04       Impact factor: 2.987

9.  Determining the Quantitative Threshold of High-Frequency Oscillation Distribution to Delineate the Epileptogenic Zone by Automated Detection.

Authors:  Chenxi Jiang; Xiaonan Li; Jiaqing Yan; Tao Yu; Xueyuan Wang; Zhiwei Ren; Donghong Li; Chang Liu; Wei Du; Xiaoxia Zhou; Yue Xing; Guoping Ren; Guojun Zhang; Xiaofeng Yang
Journal:  Front Neurol       Date:  2018-11-13       Impact factor: 4.003

10.  Generalizability of High Frequency Oscillation Evaluations in the Ripple Band.

Authors:  Aaron M Spring; Daniel J Pittman; Yahya Aghakhani; Jeffrey Jirsch; Neelan Pillay; Luis E Bello-Espinosa; Colin Josephson; Paolo Federico
Journal:  Front Neurol       Date:  2018-06-28       Impact factor: 4.003

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.