Gregory A. Worrell

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 35

Top Topics

Tensor Decomposition

Epileptic Seizures

Granger Causality

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry, Gregory A. Worrell, Yogatheesan Varatharajah
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. NER (2023)
Kai J. Miller, Klaus-Robert Müller, Gabriela Ojeda Valencia, Harvey Huang, Nicholas M. Gregg, Gregory A. Worrell, Dora Hermes
Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLoS Comput. Biol. 19 (5) (2023)
Yurui Cao, Krishnakant V. Saboo, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER (2023)
Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. BIBM (2022)
Victoria S. Marks, Tom J. Richner, Nicholas M. Gregg, Vladimir Sladky, Jaromir Dolezal, Václav Kremen, Gregory A. Worrell, Michal T. Kucewicz
Deep Brain Stimulation of Anterior Nuclei of the Thalamus and Hippocampal Seizure Rate Modulate Verbal Memory Performance. EIT (2022)
Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry, Gregory A. Worrell, Yogatheesan Varatharajah
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. CoRR (2022)
Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr., Ravishankar K. Iyer, Prashanthi Vemuri
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage 251 (2022)
Filip Mivalt, Vladimir Sladky, Irena Balzekas, Tereza Pridalova, Kai J. Miller, Jamie Van Gompel, Timothy Denison, Benjamin H. Brinkmann, Václav Kremen, Gregory A. Worrell
Deep Generative Networks for Algorithm Development in Implantable Neural Technology. SMC (2022)
Vladimir Sladky, Václav Kremen, Kevin L. McQuown, Filip Mivalt, Benjamin H. Brinkmann, Jamie Van Gompel, Kai J. Miller, Timothy Denison, Gregory A. Worrell
Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices. SMC (2022)
Mayela Zamora, Sebastian Meller, Filip Kajin, James J. Sermon, Robert Toth, Moaad Benjaber, Derk-Jan Dijk, Rafal Bogacz, Gregory A. Worrell, Antonio Valentín, Benoit Duchet, Holger A. Volk, Timothy Denison
Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation. CoRR (2021)
Victoria S. Marks, Krishnakant V. Saboo, Çagdas Topçu, Michal Lech, Theodore P. Thayib, Petr Nejedly, Václav Kremen, Gregory A. Worrell, Michal T. Kucewicz
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage 245 (2021)
Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. ML4H@NeurIPS (2021)
Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. CoRR (2021)
Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. NeurIPS (2021)
Michal Lech, Brent M. Berry, Çagdas Topçu, Václav Kremen, Petr Nejedly, Bradley Lega, Robert E. Gross, Michael R. Sperling, Barbara C. Jobst, Sameer A. Sheth, Kareem A. Zaghloul, Kathryn A. Davis, Gregory A. Worrell, Michal T. Kucewicz
Direct Electrical Stimulation of the Human Brain Has Inverse Effects on the Theta and Gamma Neural Activities. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Yogatheesan Varatharajah, Brent M. Berry, Boney Joseph, Irena Balzekas, Václav Kremen, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. EMBC (2020)
Mona Nasseri, Václav Kremen, Petr Nejedly, Inyong Kim, Su-Youne Chang, Hang Joon Jo, Hari Guragain, Nathaniel Nelson, Edward E. Patterson, Beverly K. Sturges, Chelsea M. Crowe, Tim Denison, Benjamin H. Brinkmann, Gregory A. Worrell
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. Biomed. Signal Process. Control. 57 (2020)
Robert Toth, Mayela Zamora, Jon Ottaway, Tom Gillbe, Sean Martin, Moaad Benjaber, Guy Lamb, Tara Noone, Barry Taylor, Alceste Deli, Václav Kremen, Gregory A. Worrell, Timothy G. Constandinou, Ivor Gillbe Stefan De Wachter, Charles Knowles, Andrew Sharott, Antonio Valentín, Alexander L. Green, Timothy Denison
DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology. SMC (2020)
Krishnakant V. Saboo, Yogatheesan Varatharajah, Brent M. Berry, Michael R. Sperling, Richard J. T. Gorniak, Kathryn A. Davis, Barbara C. Jobst, Robert E. Gross, Bradley Lega, Sameer A. Sheth, Michael J. Kahana, Michal T. Kucewicz, Gregory A. Worrell, Ravishankar K. Iyer
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER (2019)
Petr Nejedly, Jan Cimbalnik, Petr Klimes, Filip Plesinger, Josef Halámek, Václav Kremen, Ivo Viscor, Benjamin H. Brinkmann, Martin Pail, Milan Brazdil, Gregory A. Worrell, Pavel Jurák
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. Neuroinformatics 17 (2) (2019)
Scott Stanslaski, Jeffrey Herron, Elizabeth Fehrmann, Rob Corey, Heather Orser, Enrico Opri, Václav Kremen, Benjamin H. Brinkmann, Aysegul Gunduz, Kelly Foote, Gregory A. Worrell, Tim Denison
Creating neural "co-processors" to explore treatments for neurological disorders. ISSCC (2018)
Yogatheesan Varatharajah, Brent M. Berry, Jan Cimbalnik, Václav Kremen, Jamie Van Gompel, Matt Stead, Benjamin H. Brinkmann, Ravishankar K. Iyer, Gregory A. Worrell
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. CoRR (2018)
Scott Stanslaski, Jeffrey Herron, Tom Chouinard, Duane Bourget, Ben Isaacson, Václav Kremen, Enrico Opri, William Drew, Benjamin H. Brinkmann, Aysegul Gunduz, Tom Adamski, Gregory A. Worrell, Timothy Denison
A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders. IEEE Trans. Biomed. Circuits Syst. 12 (6) (2018)
Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo, Brent M. Berry, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. NIPS (2017)
James E. Kragel, Youssef Ezzyat, Michael R. Sperling, Richard J. T. Gorniak, Gregory A. Worrell, Brent M. Berry, Cory S. Inman, Jui-Jui Lin, Kathryn A. Davis, Sandhitsu R. Das, Joel M. Stein, Barbara C. Jobst, Kareem A. Zaghloul, Sameer A. Sheth, Daniel S. Rizzuto, Michael J. Kahana
Similar patterns of neural activity predict memory function during encoding and retrieval. NeuroImage 155 (2017)
Yogatheesan Varatharajah, Brent M. Berry, Zbigniew T. Kalbarczyk, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. NER (2017)
Han-Tai Shiao, Vladimir Cherkassky, Jieun Lee, Brandon Veber, Edward E. Patterson, Benjamin H. Brinkmann, Gregory A. Worrell
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal. IEEE Trans. Biomed. Eng. 64 (5) (2017)
Yogatheesan Varatharajah, Ravishankar K. Iyer, Brent M. Berry, Gregory A. Worrell, Benjamin H. Brinkmann
Seizure Forecasting and the Preictal State in Canine Epilepsy. Int. J. Neural Syst. 27 (1) (2017)
Václav Kremen, Benjamin H. Brinkmann, Inyong Kim, Su-Youne Chang, Jamie Van Gompel, Jeffrey A. Herron, Steven Baldassano, Edward E. Patterson, Brian Litt, Timothy Denison, Gregory A. Worrell
Live demonstration: Continuous active probing and modulation of neural networks with a wireless implantable system. BioCAS (2017)
Václav Kremen, Benjamin H. Brinkmann, Inyong Kim, Su-Youne Chang, Jamie J. Van Gompel, Jeffrey A. Herron, Steven Baldassano, Edward E. Patterson, Brian Litt, Timothy Denison, Gregory A. Worrell
Continuous active probing and modulation of neural networks with a wireless implantable system. BioCAS (2017)
Michal T. Kucewicz, B. Michael Berry, Mark R. Bower, Jan Cimbalnik, Vojtech Svehlik, Matt Stead, Gregory A. Worrell
Combined Single Neuron Unit Activity and Local Field Potential Oscillations in a Human Visual Recognition Memory Task. IEEE Trans. Biomed. Eng. 63 (1) (2016)
Abbas Sohrabpour, Yunfeng Lu, Gregory A. Worrell, Bin He
Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy. NeuroImage 142 (2016)
Abbas Sohrabpour, Shuai Ye, Gregory A. Worrell, Wenbo Zhang, Bin He
Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach. IEEE Trans. Biomed. Eng. 63 (12) (2016)
David R. Holmes, Benjamin H. Brinkmann, Dennis P. Hanson, Gregory A. Worrell, Richard A. Robb, Leslie Holton
Feasibility of tracked electrodes for use in epilepsy surgery. Medical Imaging: Image-Guided Procedures (2016)
Abbas Sohrabpour, Yunfeng Lu, Gregory A. Worrell, Bin He
Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm. EMBC (2016)
Petr Klimes, Juliano J. Duque, Pavel Jurák, Josef Halámek, Gregory A. Worrell
Connectivity of epileptic brain regions in wake and sleep. EMBC (2015)
Yunfeng Lu, Gregory A. Worrell, Huishi Clara Zhang, Lin Yang, Benjamin H. Brinkmann, Cindy Nelson, Bin He
Corrections to "Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients". IEEE Trans. Biomed. Eng. 62 (8) (2015)
Vladimir Cherkassky, Brandon Veber, Jieun Lee, Han-Tai Shiao, Ned Patterson, Gregory A. Worrell, Benjamin H. Brinkmann
Reliable seizure prediction from EEG data. IJCNN (2015)
Yunfeng Lu, Gregory A. Worrell, Huishi Clara Zhang, Lin Yang, Benjamin H. Brinkmann, Cindy Nelson, Bin He
Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients. IEEE Trans. Biomed. Eng. 61 (6) (2014)
Clara H. Zhang, Yunfeng Lu, Benjamin H. Brinkmann, Kirk Welker, Gregory A. Worrell, Bin He
Using functional MRI alone for localization in focal epilepsy. EMBC (2014)
Yunfeng Lu, Gregory A. Worrell, Huishi Clara Zhang, Abbas Sohrabpour, Bin He
EEG source imaging and connectivity analysis in epilepsy patients. ACSSC (2013)
Tim R. Mullen, Gregory A. Worrell, Scott Makeig
Multivariate principal oscillation pattern analysis of ICA sources during seizure. EMBC (2012)
Yunfeng Lu, Lin Yang, Gregory A. Worrell, Benjamin H. Brinkmann, Cindy Nelson, Bin He
Dynamic seizure imaging in patients with extratemporal lobe epilepsy. EMBC (2012)
Sanqing Hu, Guojun Dai, Gregory A. Worrell, Qionghai Dai, Hualou Liang
Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods. IEEE Trans. Neural Networks 22 (6) (2011)
Lin Yang, Christopher T. Wilke, Benjamin H. Brinkmann, Gregory A. Worrell, Bin He
Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG. NeuroImage 56 (4) (2011)
Zeynep Akalin Acar, Jason A. Palmer, Gregory A. Worrell, Scott Makeig
Electrocortical source imaging of intracranial EEG data in epilepsy. EMBC (2011)
Tim R. Mullen, Zeynep Akalin Acar, Gregory A. Worrell, Scott Makeig
Modeling cortical source dynamics and interactions during seizure. EMBC (2011)
Lin Yang, Christopher T. Wilke, Benjamin H. Brinkmann, Gregory A. Worrell, Bin He
Dynamic imaging of ictal rhythmic activity using dense-array EEG. EMBC (2011)
Sanqing Hu, Matt Stead, Qionghai Dai, Gregory A. Worrell
On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence. IEEE Trans. Syst. Man Cybern. Part B 40 (5) (2010)
Sanqing Hu, Matt Stead, Hualou Liang, Gregory A. Worrell
Reference Signal Impact on EEG Energy. ISNN (3) (2009)
Sanqing Hu, Matt Stead, Gregory A. Worrell
Removal of Scalp Reference Signal and Line Noise for Intracranial EEGs. ICNSC (2008)
Sanqing Hu, Matt Stead, Gregory A. Worrell
Automatic Identification and Removal of Scalp Reference Signal for Intracranial EEGs Based on Independent Component Analysis. IEEE Trans. Biomed. Eng. 54 (9) (2007)
Lei Ding, Gregory A. Worrell, Terrence D. Lagerlund, Bin He
Ictal source analysis: Localization and imaging of causal interactions in humans. NeuroImage 34 (2) (2007)
Sanqing Hu, Matt Stead, Andrew B. Gardner, Gregory A. Worrell
The Effect of Recording Reference on EEG: Phase Synchrony and Coherence. ISNN (2) (2007)
Lei Ding, Gregory A. Worrell, Terrence D. Lagerlund, Bin He
Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis. EMBC (2006)
Matt Stead, Gregory A. Worrell, Brian Litt
Frequency and dependence of long range temporal correlations in human hippocampal energy fluctuations. Complex. 10 (5) (2005)