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306 results on '"Bergey, Gregory K."'

2. Two‐year seizure reduction in adults with medically intractable partial onset epilepsy treated with responsive neurostimulation: Final results of the RNS System Pivotal trial

Author

Heck, Christianne N, King‐Stephens, David, Massey, Andrew D, Nair, Dileep R, Jobst, Barbara C, Barkley, Gregory L, Salanova, Vicenta, Cole, Andrew J, Smith, Michael C, Gwinn, Ryder P, Skidmore, Christopher, Van Ness, Paul C, Bergey, Gregory K, Park, Yong D, Miller, Ian, Geller, Eric, Rutecki, Paul A, Zimmerman, Richard, Spencer, David C, Goldman, Alica, Edwards, Jonathan C, Leiphart, James W, Wharen, Robert E, Fessler, James, Fountain, Nathan B, Worrell, Gregory A, Gross, Robert E, Eisenschenk, Stephan, Duckrow, Robert B, Hirsch, Lawrence J, Bazil, Carl, O'Donovan, Cormac A, Sun, Felice T, Courtney, Tracy A, Seale, Cairn G, and Morrell, Martha J

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Clinical Research, Brain Disorders, Patient Safety, Epilepsy, Clinical Trials and Supportive Activities, Health Services, Neurodegenerative, Neurological, Adolescent, Adult, Aged, Double-Blind Method, Electric Stimulation Therapy, Epilepsies, Partial, Female, Follow-Up Studies, Humans, Implantable Neurostimulators, Male, Middle Aged, Quality of Life, Time Factors, Treatment Outcome, Young Adult, Cortical stimulation, Focal seizures, Neurostimulator, Partial seizures, Responsive stimulation, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveTo demonstrate the safety and effectiveness of responsive stimulation at the seizure focus as an adjunctive therapy to reduce the frequency of seizures in adults with medically intractable partial onset seizures arising from one or two seizure foci.MethodsRandomized multicenter double-blinded controlled trial of responsive focal cortical stimulation (RNS System). Subjects with medically intractable partial onset seizures from one or two foci were implanted, and 1 month postimplant were randomized 1:1 to active or sham stimulation. After the fifth postimplant month, all subjects received responsive stimulation in an open label period (OLP) to complete 2 years of postimplant follow-up.ResultsAll 191 subjects were randomized. The percent change in seizures at the end of the blinded period was -37.9% in the active and -17.3% in the sham stimulation group (p = 0.012, Generalized Estimating Equations). The median percent reduction in seizures in the OLP was 44% at 1 year and 53% at 2 years, which represents a progressive and significant improvement with time (p

Published
2014

3. Nine-year prospective efficacy and safety of brain-responsive neurostimulation for focal epilepsy

Author

Nair, Dileep R, Laxer, Kenneth D, Weber, Peter B, Murro, Anthony M, Park, Yong D, Barkley, Gregory L, Smith, Brien J, Gwinn, Ryder P, Doherty, Michael J, Noe, Katherine H, Zimmerman, Richard S, Bergey, Gregory K, Anderson, William S, Heck, Christianne, Liu, Charles Y, Lee, Ricky W, Sadler, Toni, Duckrow, Robert B, Hirsch, Lawrence J, Wharen, Robert E, Jr, Tatum, William, Srinivasan, Shraddha, McKhann, Guy M, Agostini, Mark A, Alexopoulos, Andreas V, Jobst, Barbara C, Roberts, David W, Salanova, Vicenta, Witt, Thomas C, Cash, Sydney S, Cole, Andrew J, Worrell, Gregory A, Lundstrom, Brian N, Edwards, Jonathan C, Halford, Jonathan J, Spencer, David C, Ernst, Lia, Skidmore, Christopher T, Sperling, Michael R, Miller, Ian, Geller, Eric B, Berg, Michel J, Fessler, A James, Rutecki, Paul, Goldman, Alica M, Mizrahi, Eli M, Gross, Robert E, Shields, Donald C, Schwartz, Theodore H, Labar, Douglas R, Fountain, Nathan B, Elias, W Jeff, Olejniczak, Piotr W, Villemarette-Pittman, Nicole R, Eisenschenk, Stephan, Roper, Steven N, Boggs, Jane G, Courtney, Tracy A, Sun, Felice T, Seale, Cairn G, Miller, Kathy L, Skarpaas, Tara L, and Morrell, Martha J

Published
2020
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4. Controversies in epilepsy: debates held during the Fourth International Workshop on Seizure Prediction.

Author

Frei, Mark G MG, Zaveri, Hitten P HP, Arthurs, Susan S, Bergey, Gregory K GK, Jouny, Christophe C CC, Lehnertz, Klaus K, Gotman, Jean J, Osorio, Ivan I, Netoff, Theoden I TI, Freeman, Walter, III, Jefferys, John J, Worrell, Gregory G, Quyen, Michel Le Van Mle V, Schiff, Steven J SJ, and Mormann, Florian F

Abstract

Debates on six controversial topics were held during the Fourth International Workshop on Seizure Prediction (IWSP4) convened in Kansas City, KS, USA, July 4-7, 2009. The topics were (1) Ictogenesis: Focus versus Network? (2) Spikes and Seizures: Step-relatives or Siblings? (3) Ictogenesis: A Result of Hyposynchrony? (4) Can Focal Seizures Be Caused by Excessive Inhibition? (5) Do High-Frequency Oscillations Provide Relevant Independent Information? (6) Phase Synchronization: Is It Worthwhile as Measured? This article, written by the IWSP4 organizing committee and the debaters, summarizes the arguments presented during the debates.

Published
2010

7. Dynamic training of a novelty classifier algorithm for real-time detection of early seizure onset

Author

Ehrens, Daniel, Cervenka, Mackenzie C., Bergey, Gregory K., and Jouny, Christophe C.

Subjects
Adult, Male, Epilepsy, Support Vector Machine, Electroencephalography, Middle Aged, Sensitivity and Specificity, Article, Sensory Systems, Neurology, Seizures, Physiology (medical), Humans, Female, Neurology (clinical)
Abstract

OBJECTIVE: To develop an adaptive framework for seizure detection in real-time that is practical to use in the Epilepsy Monitoring Unit (EMU) as a warning signal, and whose output helps characterize epileptiform activity. METHODS: Our algorithm was tested on intracranial EEG from epilepsy patients admitted to the EMU for presurgical evaluation. Our framework uses a one-class Support Vector Machine (SVM) that is being trained dynamically according to past activity in all available channels to classify novelty of the current activity. In this study we compared multiple configurations for using a one-class SVM to assess if there is significance over specific neural features or electrode locations. RESULTS: Our results show that the algorithm reaches a sensitivity of 87% for early-onset seizure detection and of 97.7% as a generic seizure detection. CONCLUSIONS: Our algorithm is capable of running in real-time and achieving a high performance for early seizure-onset detection with a low false positive rate and robustness in detection of different type of seizure-onset patterns. SIGNIFICANCE: This algorithm offers a solution to warning systems in the EMU as well as a tool for seizure characterization during post-hoc analysis of intracranial EEG data for surgical resection of the epileptogenic network.

Published
2022

19. Lateralization of mesial temporal lobe epilepsy with chronic ambulatory electrocorticography

Author

King-Stephens, David, Mirro, Emily, Weber, Peter B., Laxer, Kenneth D., Van Ness, Paul C., Salanova, Vicenta, Spencer, David C., Heck, Christianne N., Goldman, Alica, Jobst, Barbara, Shields, Donald C., Bergey, Gregory K., Eisenschenk, Stephan, Worrell, Gregory A., Rossi, Marvin A., Gross, Robert E., Cole, Andrew J., Sperling, Michael R., Nair, Dileep R., Gwinn, Ryder P., Park, Yong D., Rutecki, Paul A., Fountain, Nathan B., Wharen, Robert E., Hirsch, Lawrence J., Miller, Ian O., Barkley, Gregory L., Edwards, Jonathan C., Geller, Eric B., Berg, Michel J., Sadler, Toni L., Sun, Felice T., and Morrell, Martha J.

Published
2015
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28. Interictal EEG and ECG for SUDEP Risk Assessment: A Retrospective Multicenter Cohort Study.

Author

Chen, Zhe Sage, Hsieh, Aaron, Sun, Guanghao, Bergey, Gregory K., Berkovic, Samuel F., Perucca, Piero, D'Souza, Wendyl, Elder, Christopher J., Farooque, Pue, Johnson, Emily L., Barnard, Sarah, Nightscales, Russell, Kwan, Patrick, Moseley, Brian, O'Brien, Terence J., Sivathamboo, Shobi, Laze, Juliana, Friedman, Daniel, and Devinsky, Orrin

Subjects
EPILEPSY, PARTIAL epilepsy, ELECTROENCEPHALOGRAPHY, HEART beat, CONVOLUTIONAL neural networks, RECEIVER operating characteristic curves, ELECTROCARDIOGRAPHY
Abstract

Objective: Sudden unexpected death in epilepsy (SUDEP) is the leading cause of epilepsy-related mortality. Although lots of effort has been made in identifying clinical risk factors for SUDEP in the literature, there are few validated methods to predict individual SUDEP risk. Prolonged postictal EEG suppression (PGES) is a potential SUDEP biomarker, but its occurrence is infrequent and requires epilepsy monitoring unit admission. We use machine learning methods to examine SUDEP risk using interictal EEG and ECG recordings from SUDEP cases and matched living epilepsy controls. Methods: This multicenter, retrospective, cohort study examined interictal EEG and ECG recordings from 30 SUDEP cases and 58 age-matched living epilepsy patient controls. We trained machine learning models with interictal EEG and ECG features to predict the retrospective SUDEP risk for each patient. We assessed cross-validated classification accuracy and the area under the receiver operating characteristic (AUC) curve. Results: The logistic regression (LR) classifier produced the overall best performance, outperforming the support vector machine (SVM), random forest (RF), and convolutional neural network (CNN). Among the 30 patients with SUDEP [14 females; mean age (SD), 31 (8.47) years] and 58 living epilepsy controls [26 females (43%); mean age (SD) 31 (8.5) years], the LR model achieved the median AUC of 0.77 [interquartile range (IQR), 0.73–0.80] in five-fold cross-validation using interictal alpha and low gamma power ratio of the EEG and heart rate variability (HRV) features extracted from the ECG. The LR model achieved the mean AUC of 0.79 in leave-one-center-out prediction. Conclusions: Our results support that machine learning-driven models may quantify SUDEP risk for epilepsy patients, future refinements in our model may help predict individualized SUDEP risk and help clinicians correlate predictive scores with the clinical data. Low-cost and noninvasive interictal biomarkers of SUDEP risk may help clinicians to identify high-risk patients and initiate preventive strategies. [ABSTRACT FROM AUTHOR]

Published
2022
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42. Human T-cell leukemia virus type 1 infection of monocytes and microglial cells in primary human cultures

Author

Hoffman, Paul M., Dhib-Jalbut, Suhayl, Mikovits, Judy A., Robbins, Deanna S., Wolf, Aizik L., Bergey, Gregory K., Lohrey, Nancy C., Weislow, Owen S., and Ruscetti, Francis W.

Subjects
HTLV-I infections -- Development and progression, Monocytes -- Physiological aspects, Brain diseases -- Physiological aspects, Science and technology
Abstract

The effects of human T-cell leukemia virus type I (HTLV-I) infection in primary cultures of human peripheral blood monocytes and brain-derived microglial cells were investigated. The results showed that these primary brain-derived cells are prone to productive HTLV-1 infection in vitro. Furthermore, HTLV-1 infection induced the production of tumor necrosis factor alpha and interleukin 6. These results suggest that cytokine release constitutes one of the steps in the neuropathology of HTLV-I infection.

Published
1992

48. Nonepileptic Posttraumatic Seizures

Author

Barry, Elizabeth, Krumholz, Allan, Bergey, Gregory K., Chatha, Herlene, Alemayehu, Shimellis, and Grattan, Lynn

Published
1998

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