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Engel, Jerome

https://orcid.org/0000-0001-6324-5716

Mayo Clinic

Mayo Clinic

Citations 5

Graph theoretical measures of fast ripples support the epileptic network hypothesis
Weiss, Shennan A. , Pastore, Tomás, Orosz, Iren, Waldman, Zachary, Fried, Itzhak , Wu, Chengyuan , Sharan, Ashwini , Engel, Jerome , Sperling, Michael R. , Staba, Richard J. , Wu, Chengyuan , Sperling, Michael R , Weiss, Shennan A , Rubinstein, Daniel , Gorniak, Richard , Slezak, Diego Fernández , Worrell, Gregory A.

Brain Communications | April 14, 2022 | Volume: 4 | Issue: 3 | Pages: No page available

10.1093/braincomms/fcac101 Get It

Abstract The epileptic network hypothesis and epileptogenic zone hypothesis are two theories of ictogenesis. The network hypothesis posits that coordinated activity among interconnected nodes produces seizures. The epileptogenic zone hypothesis posits that distinct regions are necessary and sufficient for seizure generation. High-frequency oscillations, and particularly fast ripples, are thought to be biomarkers of the epileptogenic zone. We sought to test these theories by comparing high-frequency oscillation rates and networks in surgical responders and non-responders, with no appreciable change in seizure frequency or severity, within a retrospective cohort of 48 patients implanted with stereo-EEG electrodes. We recorded inter-ictal activity during non-rapid eye movement sleep and semi-automatically detected and quantified high-frequency oscillations. Each electrode contact was localized in normalized coordinates. We found that the accuracy of seizure onset zone electrode contact classification using high-frequency oscillation rates was not significantly different in surgical responders and non-responders, suggesting that in non-responders the epileptogenic zone partially encompassed the seizure onset zone(s) (P > 0.05). We also found that in the responders, fast ripple on oscillations exhibited a higher spectral content in the seizure onset zone compared with the non-seizure onset zone (P < 1 × 10−5). By contrast, in the non-responders, fast ripple had a lower spectral content in the seizure onset zone (P < 1 × 10−5). We constructed two different networks of fast ripple with a spectral content >350 Hz. The first was a rate–distance network that multiplied the Euclidian distance between fast ripple-generating contacts by the average rate of fast ripple in the two contacts. The radius of the rate–distance network, which excluded seizure onset zone nodes, discriminated non-responders, including patients not offered resection or responsive neurostimulation due to diffuse multifocal onsets, with an accuracy of 0.77 [95% confidence interval (CI) 0.56–0.98]. The second fast ripple network was constructed using the mutual information between the timing of the events to measure functional connectivity. For most non-responders, this network had a longer characteristic path length, lower mean local efficiency in the non-seizure onset zone, and a higher nodal strength among non-seizure onset zone nodes relative to seizure onset zone nodes. The graphical theoretical measures from the rate–distance and mutual information networks of 22 non- responsive neurostimulation treated patients was used to train a support vector machine, which when tested on 13 distinct patients classified non-responders with an accuracy of 0.92 (95% CI 0.75–1). These results indicate patients who do not respond to surgery or those not selected for resection or responsive neurostimulation can be explained by the epileptic network hypothesis that is a decentralized network consisting of widely distributed, hyperexcitable fast ripple-generating nodes.
Localizing Epileptogenic Regions Using High-Frequency Oscillations and Machine Learning
Weiss, Shennan A. , Waldman, Zachary, Raimondo, Federico , Bragin, Anatol , Engel, Jerome , Staba, Richard J. , Sperling, Michael R. , Sperling, Michael R , Weiss, Shennan A , Slezak, Diego Fernández , Donmez, Mustafa, Worrell, Gregory A.

Biomarkers in Medicine | May 2, 2019 | Volume: 13 | Issue: 5 | Pages: 409-418

10.2217/bmm-2018-0335 Get It

The evolution of epilepsy surgery between 1991 and 2011 in nine major epilepsy centers across the United States, Germany, and Australia
Carlson, Chad , Cascino, Gregory D. , Dewar, Sandra , Engel, Jerome , Knowlton, Robert C. , McIntosh, Anne M. , O’Brien, Terence J. , Spencer, Dennis D. , Sperling, Michael R. , Bingaman, Bill, Doyle, Werner , French, Jacqueline A. , Jehi, Lara , Friedman, Daniel , Elger, Christian Erich , Kuzniecky, Ruben , Worrell, Gregory A. , González-Martínez, Jorge , Sperling, Michael R , French, Jacqueline

Epilepsia | August 7, 2015 | Volume: 56 | Issue: 10 | Pages: 1526-1533

10.1111/epi.13116 Get It

Summary Objective Epilepsy surgery is the most effective treatment for select patients with drug‐resistant epilepsy. In this article, we aim to provide an accurate understanding of the current epidemiologic characteristics of this intervention, as this knowledge is critical for guiding educational, academic, and resource priorities. Methods We profile the practice of epilepsy surgery between 1991 and 2011 in nine major epilepsy surgery centers in the United States, Germany, and Australia. Clinical, imaging, surgical, and histopathologic data were derived from the surgical databases at various centers. Results Although five of the centers performed their highest number of surgeries for mesial temporal sclerosis ( MTS ) in 1991, and three had their highest number of MTS surgeries in 2001, only one center achieved its peak number of MTS surgeries in 2011. The most productive year for MTS surgeries varied then by center; overall, the nine centers surveyed performed 48% (95% confidence interval [CI] −27.3% to −67.4%) fewer such surgeries in 2011 compared to either 1991 or 2001, whichever was higher. There was a parallel increase in the performance of surgery for nonlesional epilepsy. Further analysis of 5/9 centers showed a yearly increase of 0.6 ± 0.07% in the performance of invasive electroencephalography ( EEG ) without subsequent resections. Overall, although MTS was the main surgical substrate in 1991 and 2001 (proportion of total surgeries in study centers ranging from 33.3% to 70.2%); it occupied only 33.6% of all resections in 2011 in the context of an overall stable total surgical volume. Significance These findings highlight the major aspects of the evolution of epilepsy surgery across the past two decades in a sample of well‐established epilepsy surgery centers, and the critical current challenges of this treatment option in addressing complex epilepsy cases requiring detailed evaluations. Possible causes and implications of these findings are discussed.