Fast evaluation of interictal spikes in long-term EEG by hyper-clustering

Epilepsia
Michael SchergThomas Bast

Abstract

The burden of reviewing long-term scalp electroencephalography (EEG) is not much alleviated by automated spike detection if thousands of events need to be inspected and mentally classified by the reviewer. This study investigated a novel technique of clustering and 24-h hyper-clustering on top of automated detection to assess whether fast review of focal interictal spike types was feasible and comparable to the spikes types observed during routine EEG review in epilepsy monitoring. Spike detection used a transformation of scalp EEG into 29 regional source activities and adaptive thresholds to increase sensitivity. Our rule-based algorithm estimated 18 parameters around each detected peak and combined multichannel detections into one event. Similarity measures were derived from equivalent location, scalp topography, and source waveform of each event to form clusters over 2-h epochs using a density-based algorithm. Similar measures were applied to all 2-h clusters to form 24-h hyper-clusters. Independent raters evaluated electroencephalography data of 50 patients with epilepsy (25 children) using traditional visual spike review and optimized hyper-cluster inspection. Congruence between visual spike types and epileptiform hyper-cl...Continue Reading

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Citations

Jun 25, 2013·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Shaun S LodderMichel J A M van Putten
Jan 24, 2014·PloS One·Shaun S Lodder, Michel J A M van Putten
Jan 30, 2014·PloS One·Shaun S LodderMichel J A M van Putten
Sep 26, 2013·International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology·Jessica Askamp, Michel J A M van Putten
Apr 15, 2014·NeuroImage·Anna CustoChristoph Michel
Jun 1, 2017·Brain Sciences·Aina Puce, Matti S Hämäläinen
Mar 22, 2018·Journal of Neural Engineering·Tadanori FukamiBunnoshin Ishikawa
Sep 5, 2019·Frontiers in Neurology·Michael SchergSándor Beniczky
Mar 27, 2021·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Anca A ArbuneSándor Beniczky

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