Literature DB >> 34891270

Mapping Propagation of Interictal Spikes, Ripples, and Fast Ripples in Intracranial EEG of Children with Refractory Epilepsy.

Saeed Jahromi, Margherita A G Matarrese, Eleonora Tamilia, M Scott Perry, Joseph R Madsen, Phillip L Pearl, Christos Papadelis.   

Abstract

Studies on intracranial electroencephalography (icEEG) recordings of patients with drug resistant epilepsy (DRE) show that epilepsy biomarkers propagate in time across brain areas. Here, we propose a novel method that estimates critical features of these propagations for different epilepsy biomarkers (spikes, ripples, and fast ripples), and assess their common onset as a reliable biomarker of the epileptogenic zone (EZ). For each biomarker, an automatic algorithm ranked the icEEG electrodes according to their timing occurrence in propagations and finally dichotomized them as onset or spread. We validated our algorithm on icEEG recordings of 8 children with DRE having a good surgical outcome (Engel score = 1). We estimated the overlap of the onset, spread, and entire zone of propagation with the resection (RZ) and the seizure onset zone (SOZ). Spike and ripple propagations were seen in all patients, whereas fast ripple propagations were seen in 6 patients. Spike, ripple, and fast ripple propagations had a mean duration of 28.3 ± 24.3 ms, 38.7 ± 37 ms, and 25 ± 14 ms respectively. Onset electrodes predicted the RZ and SOZ with higher specificity compared to the entire zone for all three biomarkers (p<0.05). Overlap of spike and ripple onsets presented a higher specificity than each separate biomarker onset: for the SOZ, the onsets overlap was more specific (97.89 ± 2.36) than the ripple onset (p=0.031); for the RZ, the onsets overlap was more specific (98.48 ± 1.5) than the spike onset (p=0.016). Yet, the entire zone for spike and ripple propagations predicted the RZ with higher sensitivity compared to each biomarker's onset (or spread) (p<0.05). We present, for the first time, preliminary evidence from icEEG data that fast ripples propagate in time across large areas of the brain. The onsets overlap of spike and ripple propagations constitutes an extremely specific (but not sensitive) biomarker of the EZ, compared to areas of spread (and entire areas) in propagation.

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Year:  2021        PMID: 34891270      PMCID: PMC8896264          DOI: 10.1109/EMBC46164.2021.9630250

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


  8 in total

1.  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

2.  Costs and Clinical Outcomes of Epilepsy Surgery in Children With Drug-Resistant Epilepsy.

Authors:  Michael S Oldham; Paul S Horn; Joel Tsevat; Shannon Standridge
Journal:  Pediatr Neurol       Date:  2015-05-22       Impact factor: 3.372

3.  Noninvasive Localization of High-Frequency Oscillations in Children with Epilepsy: Validation against Intracranial Gold-Standard.

Authors:  Matilde Dirodi; Eleonora Tamilia; P Ellen Grant; Joseph R Madsen; Steven M Stufflebeam; Phillip L Pearl; Christos Papadelis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2019-07

4.  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

5.  Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy.

Authors:  Christos Papadelis; Eleonora Tamilia; Steven Stufflebeam; Patricia E Grant; Joseph R Madsen; Phillip L Pearl; Naoaki Tanaka
Journal:  J Vis Exp       Date:  2016-12-06       Impact factor: 1.355

Review 6.  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

7.  RIPPLELAB: A Comprehensive Application for the Detection, Analysis and Classification of High Frequency Oscillations in Electroencephalographic Signals.

Authors:  Miguel Navarrete; Catalina Alvarado-Rojas; Michel Le Van Quyen; Mario Valderrama
Journal:  PLoS One       Date:  2016-06-24       Impact factor: 3.240

8.  Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery.

Authors:  Eleonora Tamilia; Matilde Dirodi; Michel Alhilani; P Ellen Grant; Joseph R Madsen; Steven M Stufflebeam; Phillip L Pearl; Christos Papadelis
Journal:  Ann Clin Transl Neurol       Date:  2020-02-25       Impact factor: 4.511

  8 in total

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