Literature DB >> 24636878

Size of cortical generators of epileptic interictal events and visibility on scalp EEG.

Nicolás von Ellenrieder1, Leandro Beltrachini2, Piero Perucca3, Jean Gotman3.   

Abstract

Growing evidence indicates that fast oscillations (>80 Hz) can be recorded interictally in the scalp EEG of patients with epilepsy, and that they may point to the seizure-onset zone. However, mechanisms underpinning the emergence of scalp fast oscillations, and whether they differ from those of interictal epileptic discharges (IEDs), are yet to be understood. The visibility of cortical electric activity on scalp EEG recordings is dependent on two factors: the characteristics of the cortical generator and the background level. We studied this issue using scalp EEG recordings and detailed simulations, with a finite element model including 8 million elements and 8 different tissues. We observed an almost linear relationship between the amplitude of scalp electric potential and the extent of the generator on the cortex. However, this relationship is subject to substantial variability, with variations in factors greater than 3 occurring simply by changing the location on the cortex of generators of fixed extent. In addition, we showed that the background power in scalp EEG recordings decreases at higher frequency bands, being inversely proportional to a power of 2.5 of the frequency. In the specific case of fast oscillations, they can be detected within the lower noise level of the ripple band (80-200 Hz) even though their median amplitude on scalp EEG recordings is more than 10 times smaller than IEDs and consistent with cortical generators of approximately 1 cm(2). In conclusion, the physics governing the propagation of electrical activity from the brain to the scalp are consistent with the hypothesis that scalp fast oscillations and intracranial high-frequency oscillations (HFOs, 80-500 Hz) are expressions of common generators. Given the potential role of HFOs as biomarkers in epilepsy, the possibility to obtain some of the associated information from scalp EEG is of high clinical significance.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fast oscillation; Focal epilepsy; High frequency oscillation; Interictal; Scalp EEG

Mesh:

Year:  2014        PMID: 24636878     DOI: 10.1016/j.neuroimage.2014.02.032

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  23 in total

1.  Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.

Authors:  Jayabal Velmurugan; Srikantan S Nagarajan; Narayanan Mariyappa; Ravindranadh C Mundlamuri; Kenchaiah Raghavendra; Rose Dawn Bharath; Jitender Saini; Arimappamagan Arivazhagan; Jamuna Rajeswaran; Anita Mahadevan; Bhaskara Rao Malla; Parthasarathy Satishchandra; Sanjib Sinha
Journal:  Brain       Date:  2019-11-01       Impact factor: 13.501

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.  A semi-automated method for rapid detection of ripple events on interictal voltage discharges in the scalp electroencephalogram.

Authors:  Catherine J Chu; Arthur Chan; Dan Song; Kevin J Staley; Steven M Stufflebeam; Mark A Kramer
Journal:  J Neurosci Methods       Date:  2016-12-14       Impact factor: 2.390

4.  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

5.  Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Authors:  Christophe Grova; Maria Aiguabella; Rina Zelmann; Jean-Marc Lina; Jeffery A Hall; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2016-03-02       Impact factor: 5.038

6.  Shift in interictal relative gamma power as a novel biomarker for drug response in two mouse models of absence epilepsy.

Authors:  Atul Maheshwari; Rachel L Marks; Katherine M Yu; Jeffrey L Noebels
Journal:  Epilepsia       Date:  2015-12-10       Impact factor: 5.864

7.  How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism.

Authors:  Giovanni Pellegrino; Tanguy Hedrich; Viviane Sziklas; Jean-Marc Lina; Christophe Grova; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2021-05-18       Impact factor: 5.038

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.  Hemodynamic Response to Interictal Epileptiform Discharges Addressed by Personalized EEG-fNIRS Recordings.

Authors:  Giovanni Pellegrino; Alexis Machado; Nicolas von Ellenrieder; Satsuki Watanabe; Jeffery A Hall; Jean-Marc Lina; Eliane Kobayashi; Christophe Grova
Journal:  Front Neurosci       Date:  2016-03-22       Impact factor: 4.677

10.  Exclusion of the Possibility of "False Ripples" From Ripple Band High-Frequency Oscillations Recorded From Scalp Electroencephalogram in Children With Epilepsy.

Authors:  Katsuhiro Kobayashi; Takashi Shibata; Hiroki Tsuchiya; Tomoyuki Akiyama
Journal:  Front Hum Neurosci       Date:  2021-06-15       Impact factor: 3.169

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