scholarly journals Ictal high-frequency oscillations in neocortical epilepsy: implications for seizure localization and surgical resection

Epilepsia ◽  
2011 ◽  
Vol 52 (10) ◽  
pp. 1792-1801 ◽  
Author(s):  
Pradeep N. Modur ◽  
Song Zhang ◽  
Todd W. Vitaz
2020 ◽  
Author(s):  
Elliot H. Smith ◽  
Edward M. Merricks ◽  
Jyun-You Liou ◽  
Camilla Casadei ◽  
Lucia Melloni ◽  
...  

ABSTRACTHigh frequency oscillations (HFOs) recorded from intracranial electrodes during epileptiform discharges are a proposed biomarker of epileptic brain tissue and may also be useful for seizure forecasting, with mixed results. Despite such potential for HFOs, there is limited investigation into the spatial context of HFOs and their relationship to simultaneously recorded neuronal activity. We sought to further understand the biophysical underpinnings of ictal HFOs using unit recordings in the human neocortex and mesial temporal lobe during rhythmic onset seizures. We compare features of ictal discharges in both the seizure core and penumbra (spatial seizure domains defined by multiunit activity patterns). We report differences in spectral features, unit-local field potential coupling, and information theoretic characteristics of HFOs before and after local seizure invasion. Furthermore, we tie these timing-related differences to spatial domains of seizures, showing that penumbral discharges are widely distributed and less useful for seizure localization.


Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. PD3.007-PD3.007
Author(s):  
S. Miocinovic ◽  
P. Modur

Epilepsia ◽  
2007 ◽  
Vol 48 (2) ◽  
pp. 286-296 ◽  
Author(s):  
Ayako Ochi ◽  
Hiroshi Otsubo ◽  
Elizabeth J. Donner ◽  
Irene Elliott ◽  
Ryoichi Iwata ◽  
...  

Epilepsia ◽  
2014 ◽  
Vol 55 (11) ◽  
pp. 1872-1883 ◽  
Author(s):  
Jounhong Ryan Cho ◽  
Dae Lim Koo ◽  
Eun Yeon Joo ◽  
Dae Won Seo ◽  
Seung-Chyul Hong ◽  
...  

Brain ◽  
2004 ◽  
Vol 127 (7) ◽  
pp. 1496-1506 ◽  
Author(s):  
G. A. Worrell ◽  
L. Parish ◽  
S. D. Cranstoun ◽  
R. Jonas ◽  
G. Baltuch ◽  
...  

Author(s):  
Elliot H. Smith ◽  
Edward M. Merricks ◽  
Jyun-You Liou ◽  
Camilla Casadei ◽  
Lucia Melloni ◽  
...  

ABSTRACTObjectiveHigh frequency oscillations (HFOs) recorded from intracranial electrodes during epileptiform discharges have been proposed as a biomarker of epileptic brain sites and may also be a useful feature for seizure forecasting, with mixed results. Currently, pathological subclasses of HFOs have been defined primarily by frequency characteristics. Despite this, there has been limited investigation into the spatial context of HFOs with recruitment of local cortex into seizure discharging. We sought to further understand the biophysical underpinnings of ictal HFOs.MethodsHere we examine ictal HFOs from multi-scale electrophysiological recordings during spontaneous human rhythmic onset seizures. We compare features of ictal discharges in both the seizure core and penumbra, as defined by multiunit activity patterns.ResultsWe show marked differences in spectral features, unit coupling, and information theoretic characteristics of HFOs during ictal discharges before and after local seizure invasion. Furthermore, we tie these timing-related differences to different spatial domains of seizures, showing that eccentric, penumbral discharges are widely distributed and less useful for seizure localization, which may explain the variable utility of HFOs in seizure localization and forecasting.InterpretationWe thus identify two distinct classes of ictal HFOs, implying two different mechanisms underlying pathological HFOs with contrasting significance for seizure localization.


2015 ◽  
Vol 128 (13) ◽  
pp. 1724-1727 ◽  
Author(s):  
Yan-Ping Sun ◽  
Yu-Ping Wang ◽  
Zhi-Hong Wang ◽  
Feng-Yu Wu ◽  
Li-Ou Tang ◽  
...  

Epilepsia ◽  
2013 ◽  
Vol 54 (5) ◽  
pp. 848-857 ◽  
Author(s):  
Claire Haegelen ◽  
Piero Perucca ◽  
Claude-Edouard Châtillon ◽  
Luciana Andrade-Valença ◽  
Rina Zelmann ◽  
...  

2010 ◽  
Vol 104 (5) ◽  
pp. 2900-2912 ◽  
Author(s):  
Justin A. Blanco ◽  
Matt Stead ◽  
Abba Krieger ◽  
Jonathan Viventi ◽  
W. Richard Marsh ◽  
...  

High-frequency oscillations (HFOs) have been observed in animal and human intracranial recordings during both normal and aberrant brain states. It has been proposed that the relationship between subclasses of these oscillations can be used to identify epileptic brain. Studies of HFOs in epilepsy have been hampered by selection bias arising primarily out of the need to reduce the volume of data so that clinicians can manually review it. In this study, we introduce an algorithm for detecting and classifying these signals automatically and demonstrate the tractability of analyzing a data set of unprecedented size, over 31,000 channel-hours of intracranial electroencephalographic (iEEG) recordings from micro- and macroelectrodes in humans. Using an unsupervised approach that does not presuppose a specific number of clusters in the data, we show direct evidence for the existence of distinct classes of transient oscillations within the 100- to 500-Hz frequency range in a population of nine neocortical epilepsy patients and two controls. The number of classes we find, four (three plus one putative artifact class), is consistent with prior studies that identify “ripple” and “fast ripple” oscillations using human-intensive methods and, additionally, identifies a less examined class of mixed-frequency events.


Epilepsia ◽  
2006 ◽  
Vol 47 (11) ◽  
pp. 1953-1957 ◽  
Author(s):  
Tomoyuki Akiyama ◽  
Hiroshi Otsubo ◽  
Ayako Ochi ◽  
Elaine Z. Galicia ◽  
Shelly K. Weiss ◽  
...  

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