Ictal time-irreversible intracranial EEG signals as markers of the epileptogenic zone. Issue 9 (September 2016)

• Record Type: Journal Article
• Authors: Schindler, Kaspar; Rummel, Christian; Andrzejak, Ralph G.; Goodfellow, Marc; Zubler, Frédéric; Abela, Eugenio; Wiest, Roland; Pollo, Claudio; Steimer, Andreas; Gast, Heidemarie
• Is Part Of: Clinical neurophysiology. Volume 127:Issue 9(2016:Sep.)
• Page Start: 3051
• Page End: 3058
• Publication Date: 2016-09
• Subjects: Seizure dynamics -- Quantitative EEG -- Symbolic analysis -- Pre-surgical evaluation -- Complex networks; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2016.07.001
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: Removing brain areas generating time-irreversible iEEG signals is associated with seizure freedom. Time-irreversible iEEG signals are characterized by an asymmetry of increases and decreases. Directed horizontal visibility graphs quantify efficiently the time-irreversibility of iEEG signals. Abstract: Objective: To show that time-irreversible EEG signals recorded with intracranial electrodes during seizures can serve as markers of the epileptogenic zone. Methods: We use the recently developed method of mapping time series into directed horizontal graphs (dHVG). Each node of the dHVG represents a time point in the original intracranial EEG (iEEG) signal. Statistically significant differences between the distributions of the nodes' number of input and output connections are used to detect time-irreversible iEEG signals. Results: In 31 of 32 seizure recordings we found time-irreversible iEEG signals. The maximally time-irreversible signals always occurred during seizures, with highest probability in the middle of the first seizure half. These signals spanned a large range of frequencies and amplitudes but were all characterized by saw-tooth like shaped components. Brain regions removed from patients who became post-surgically seizure-free generated significantly larger time-irreversibilities than regions removed from patients who still had seizures after surgery. Conclusions: Our results corroborate that ictal time-irreversible iEEG signals can indeed serve as markers of the epileptogenic zone and can be efficiently detected and quantified in a time-resolved manner by dHVG based methods. Significance: Ictal time-irreversible EEG signals can help to improve pre-surgical evaluation in patients suffering from pharmaco-resistant epilepsies.