Quantifying a frequency modulation response biomarker in responsive neurostimulation. (30th March 2021)

• Record Type: Journal Article
• Authors: Venkatesh, Praveen; Sneider, Daniel; Danish, Mohammed; Sisterson, Nathaniel D; Zaher, Naoir; Urban, Alexandra; Grover, Pulkit; Richardson, R Mark; Kokkinos, Vasileios
• Is Part Of: Journal of neural engineering. Volume 18:Number 4(2021)
• Publication Date: 2021-03-30
• Subjects: epilepsy -- epilepsy surgery -- responsive neurostimulation -- ictal frequency modulation -- earth mover's distance; Neurosciences -- Periodicals; Biomedical engineering -- Periodicals; 612.8
• DOI: 10.1088/1741-2552/abed82
• Languages: English
• ISSNs: 1741-2560

Abstract

Abstract: Objective. Responsive neurostimulation (RNS) is an effective treatment for controlling seizures in patients with drug-resistant focal epilepsy who are not suitable candidates for resection surgery. A lack of tools for detecting and characterizing potential response biomarkers, however, contributes to a limited understanding of mechanisms by which RNS improves seizure control. We developed a method to quantify ictal frequency modulation, previously identified as a biomarker of clinical responsiveness to RNS. Approach. Frequency modulation is characterized by shifts in power across spectral bands during ictal events, over several months of neurostimulation. This effect was quantified by partitioning each seizure pattern into segments with distinct spectral content and measuring the extent of change from the baseline distribution of spectral content using the squared earth mover's distance. Main results. We analyzed intracranial electroencephalography data from 13 patients who received RNS therapy, six of whom exhibited frequency modulation on expert evaluation. Patients in the frequency modulation group had, on average, significantly larger and more sustained changes in their squared earth mover's distances (mean = 13.97 × 10 −3 ± 1.197 × 10 −3 ). In contrast, those patients without expert-identified frequency modulation exhibited statistically insignificant or negligible distances (mean = 4.994 × 10 −3 ± 0.732 × 10 −3 ). Significance. This method is the first step towards a quantitative, feedback-driven system for systematically optimizing RNS stimulation parameters, with an ultimate goal of truly personalized closed-loop therapy for epilepsy.