Literature DB >> 34891801

Electric Source Imaging on Intracranial EEG Localizes Spatiotemporal Propagation of Interictal Spikes in Children with Epilepsy.

Margherita A G Matarrese, Alessandro Loppini, Saeed Jahromi, Eleonora Tamilia, Lorenzo Fabbri, Joseph R Madsen, Phillip L Pearl, Simonetta Filippi, Christos Papadelis.   

Abstract

Interictal epileptiform discharges (IEDs) serve as sensitive but not specific biomarkers of epilepsy that can delineate the epileptogenic zone (EZ) in patients with drug resistant epilepsy (DRE) undergoing surgery. Intracranial EEG (icEEG) studies have shown that IEDs propagate in time across large areas of the brain. The onset of this propagation is regarded as a more specific biomarker of epilepsy than areas of spread. Yet, the limited spatial resolution of icEEG does not allow to identify the onset of this activity with high precision. Here, we propose a new method of mapping the spatiotemporal propagation of IEDs (and identify its onset) by using Electrical Source Imaging (ESI) on icEEG bypassing the spatial limitations of icEEG. We validated our method on icEEG recordings from 8 children with DRE who underwent surgery with good outcome (Engel score =1). On each icEEG channel, we detected IEDs and identified the propagation onset using an automated algorithm. We localized the propagation of IEDs with dynamic Statistical Parametric Mapping (dSPM) using a time-sliding window approach. We defined two brain regions: the ESI-onset and ESI-spread zone. We estimated the overlap of these regions with resection volume (in percentage), which served as the gold-standard of the EZ. We also estimated the mean distance of these regions from resection and clinically defined seizure onset zone (SOZ). We observed spatio-temporal propagation of IEDs in all patients across several channels (98 [85-102]) with a mean duration of 155 ms [96-186 ms]. A higher overlap with resection was seen for the ESI-onset zone compared to spread (73.3 % [ 47.4-100 %], 36.5 % [20.3-59.9 %], p = 0.008). The distance of the ESI-onset from resection was shorter compared to the ESI-spread zone (4.3 mm [3.4-5.5 mm], 7.4 mm [6.0-20.6 mm], p = 0.008) and the same trend was observed for the distance from the SOZ (11.9 mm [7.2-15.1 mm], 20.6 mm [15.4-27.2 mm], p = 0.02). These findings show that our method can map the spatiotemporal propagation of IEDs and de-lineate its onset, which is a reliable and focal biomarker of the EZ in children with DRE.Clinical Relevance - ESI on icEEG recordings of children with DRE can localize the spikes propagation phenomenon and help in the delineation of the EZ.

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Year:  2021        PMID: 34891801      PMCID: PMC8928574          DOI: 10.1109/EMBC46164.2021.9630246

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  17 in total

1.  Epileptiform discharge propagation: Analyzing spikes from the onset to the peak.

Authors:  Mihai Dragos Mălîia; Pirgit Meritam; Michael Scherg; Martin Fabricius; Guido Rubboli; Ioana Mîndruţă; Sándor Beniczky
Journal:  Clin Neurophysiol       Date:  2016-01-12       Impact factor: 3.708

2.  A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age range.

Authors:  Katyucia de Macedo Rodrigues; Emma Ben-Avi; Danielle D Sliva; Myong-Sun Choe; Marie Drottar; Ruopeng Wang; Bruce Fischl; Patricia E Grant; Lilla Zöllei
Journal:  Front Hum Neurosci       Date:  2015-02-18       Impact factor: 3.169

3.  Surgical resection of ripple onset predicts outcome in pediatric epilepsy.

Authors:  Eleonora Tamilia; Eun-Hyoung Park; Stefania Percivati; Jeffrey Bolton; Fabrizio Taffoni; Jurriaan M Peters; P Ellen Grant; Phillip L Pearl; Joseph R Madsen; Christos Papadelis
Journal:  Ann Neurol       Date:  2018-09-04       Impact factor: 10.422

4.  Electrode localization for planning surgical resection of the epileptogenic zone in pediatric epilepsy.

Authors:  Vahid Taimouri; Alireza Akhondi-Asl; Xavier Tomas-Fernandez; Jurriaan M Peters; Sanjay P Prabhu; Annapurna Poduri; Masanori Takeoka; Tobias Loddenkemper; Ann Marie R Bergin; Chellamani Harini; Joseph R Madsen; Simon K Warfield
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-06-23       Impact factor: 2.924

Review 5.  Concept of epilepsy surgery and presurgical evaluation.

Authors:  Chaturbhuj Rathore; Kurupath Radhakrishnan
Journal:  Epileptic Disord       Date:  2015-03       Impact factor: 1.819

6.  Assessing the localization accuracy and clinical utility of electric and magnetic source imaging in children with epilepsy.

Authors:  Eleonora Tamilia; Michel AlHilani; Naoaki Tanaka; Melissa Tsuboyama; Jurriaan M Peters; P Ellen Grant; Joseph R Madsen; Steven M Stufflebeam; Phillip L Pearl; Christos Papadelis
Journal:  Clin Neurophysiol       Date:  2019-01-31       Impact factor: 3.708

7.  Brainstorm: a user-friendly application for MEG/EEG analysis.

Authors:  François Tadel; Sylvain Baillet; John C Mosher; Dimitrios Pantazis; Richard M Leahy
Journal:  Comput Intell Neurosci       Date:  2011-04-13

8.  OpenMEEG: opensource software for quasistatic bioelectromagnetics.

Authors:  Alexandre Gramfort; Théodore Papadopoulo; Emmanuel Olivi; Maureen Clerc
Journal:  Biomed Eng Online       Date:  2010-09-06       Impact factor: 2.819

Review 9.  Current and Emerging Potential of Magnetoencephalography in the Detection and Localization of High-Frequency Oscillations in Epilepsy.

Authors:  Eleonora Tamilia; Joseph R Madsen; Patricia Ellen Grant; Phillip L Pearl; Christos Papadelis
Journal:  Front Neurol       Date:  2017-01-30       Impact factor: 4.003

10.  Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.

Authors:  Giovanni Pellegrino; Tanguy Hedrich; Manuel Porras-Bettancourt; Jean-Marc Lina; Ümit Aydin; Jeffery Hall; Christophe Grova; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2020-05-09       Impact factor: 5.038

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