Connectivity and Centrality Characteristics of the Epileptogenic Focus Using Directed Network Analysis
Accurate epileptogenic focus localization is required prior to surgical resection of brain tissue for the treatment of patients with antiepileptic drug-resistant (intractable) epilepsy. This clinical need is only partially fulfilled through a subjective, and at times inconclusive, the evaluation of the recorded electroencephalogram (EEG) at seizures' onset (the so-called gold standard for focus localization in epilepsy). We herein present a novel method of multivariate analysis of the EEG that appears to be very promising for an objective and robust localization of the epileptogenic focus at seizures' onset. Using the measure of generalized partial directed coherence, combined with surrogate data analysis, we first estimated from multichannel intracranial EEG the statistically significant causal interactions between brain regions at the onset of 92 clinical seizures from nine patients with temporal lobe intractable epilepsy. From the networks that were formed based on the thus derived interactions, a set of centrality metrics was estimated per network node (brain site). Brain sites located anatomically within the epileptogenic focus were shown to be associated with greater inward centrality values than non-focal brain regions at high frequencies ( γ band), and particular inward centrality metrics accurately localized the focus in all nine patients. In addition to focus localization from seizure (ictal) onset, the developed novel framework for analysis of EEG could be employed to identify the changes of the focal network over time, peri-ictally and interictally, and thus shed light onto the dynamics of ictogenesis, which could then have a significant impact on automated prediction and closed-loop control of seizures by neuromodulation.
Medical Subject Headings
Algorithms; Electrocorticography (methods); Epilepsy (physiopathology); Epilepsy, Temporal Lobe (physiopathology); Humans; Multivariate Analysis; Nerve Net (physiopathology); Seizures (physiopathology); Signal Processing, Computer-Assisted
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Digital Object Identifier (DOI)
Adkinson, Joshua A.; Karumuri, Bharat; Hutson, Timothy N.; Liu, Rui; Alamoudi, Omar; Vlachos, Ioannis; and Iasemidis, Leonidas, "Connectivity and Centrality Characteristics of the Epileptogenic Focus Using Directed Network Analysis" (2019). Translational Neuroscience. 1143.