Frequency and dependence of long range temporal correlations in human hippocampal energy fluctuations. - Matt Stead; Gregory A. Worrell; Brian Litt (Complex., 2005)

Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis. - Lei Ding 004; Gregory A. Worrell; Terrence D. Lagerlund; Bin He 002 (EMBC, 2006)

The Effect of Recording Reference on EEG: Phase Synchrony and Coherence. - Sanqing Hu; Matt Stead; Andrew B. Gardner; Gregory A. Worrell (ISNN (2), 2007)

Ictal source analysis: Localization and imaging of causal interactions in humans. - Lei Ding 004; Gregory A. Worrell; Terrence D. Lagerlund; Bin He 002 (NeuroImage, 2007)

Automatic Identification and Removal of Scalp Reference Signal for Intracranial EEGs Based on Independent Component Analysis. - Sanqing Hu; Matt Stead; Gregory A. Worrell (IEEE Trans. Biomed. Eng., 2007)

Removal of Scalp Reference Signal and Line Noise for Intracranial EEGs. - Sanqing Hu; Matt Stead; Gregory A. Worrell (ICNSC, 2008)

Reference Signal Impact on EEG Energy. - Sanqing Hu; Matt Stead; Hualou Liang; Gregory A. Worrell (ISNN (3), 2009)

On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence. - Sanqing Hu; Matt Stead; Qionghai Dai; Gregory A. Worrell (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Electrocortical source imaging of intracranial EEG data in epilepsy. - Zeynep Akalin Acar; Jason A. Palmer; Gregory A. Worrell; Scott Makeig (EMBC, 2011)

Modeling cortical source dynamics and interactions during seizure. - Tim R. Mullen; Zeynep Akalin Acar; Gregory A. Worrell; Scott Makeig (EMBC, 2011)

Dynamic imaging of ictal rhythmic activity using dense-array EEG. - Lin Yang 019; Christopher T. Wilke; Benjamin H. Brinkmann; Gregory A. Worrell; Bin He 002 (EMBC, 2011)

Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG. - Lin Yang 019; Christopher T. Wilke; Benjamin H. Brinkmann; Gregory A. Worrell; Bin He 002 (NeuroImage, 2011)

Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods. - Sanqing Hu; Guojun Dai; Gregory A. Worrell; Qionghai Dai; Hualou Liang (IEEE Trans. Neural Networks, 2011)

Dynamic seizure imaging in patients with extratemporal lobe epilepsy. - Yunfeng Lu; Lin Yang 019; Gregory A. Worrell; Benjamin H. Brinkmann; Cindy Nelson; Bin He 002 (EMBC, 2012)

Multivariate principal oscillation pattern analysis of ICA sources during seizure. - Tim R. Mullen; Gregory A. Worrell; Scott Makeig (EMBC, 2012)

EEG source imaging and connectivity analysis in epilepsy patients. - Yunfeng Lu; Gregory A. Worrell; Huishi Clara Zhang; Abbas Sohrabpour; Bin He 002 (ACSSC, 2013)

Using functional MRI alone for localization in focal epilepsy. - Clara H. Zhang; Yunfeng Lu; Benjamin H. Brinkmann; Kirk Welker; Gregory A. Worrell; Bin He 002 (EMBC, 2014)

Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients. - Yunfeng Lu; Gregory A. Worrell; Huishi Clara Zhang; Lin Yang 019; Benjamin H. Brinkmann; Cindy Nelson; Bin He 002 (IEEE Trans. Biomed. Eng., 2014)

Connectivity of epileptic brain regions in wake and sleep. - Petr Klimes; Juliano Jinzenji Duque; Pavel Jurák; Josef Halámek; Gregory A. Worrell (EMBC, 2015)

Reliable seizure prediction from EEG data. - Vladimir Cherkassky; Brandon Veber; Jieun Lee; Han-Tai Shiao; Ned Patterson; Gregory A. Worrell; Benjamin H. Brinkmann (IJCNN, 2015)

Corrections to "Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients". - Yunfeng Lu; Gregory A. Worrell; Huishi Clara Zhang; Lin Yang 019; Benjamin H. Brinkmann; Cindy Nelson; Bin He 002 (IEEE Trans. Biomed. Eng., 2015)

Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm. - Abbas Sohrabpour; Yunfeng Lu; Gregory A. Worrell; Bin He 002 (EMBC, 2016)

Feasibility of tracked electrodes for use in epilepsy surgery. - David R. Holmes 001; Benjamin H. Brinkmann; Dennis P. Hanson; Gregory A. Worrell; Richard A. Robb; Leslie Holton (Image-Guided Procedures, 2016)

Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy. - Abbas Sohrabpour; Yunfeng Lu; Gregory A. Worrell; Bin He 002 (NeuroImage, 2016)

Combined Single Neuron Unit Activity and Local Field Potential Oscillations in a Human Visual Recognition Memory Task. - Michal T. Kucewicz; B. Michael Berry; Mark R. Bower; Jan Cimbalnik; Vojtech Svehlik; Matt Stead; Gregory A. Worrell (IEEE Trans. Biomed. Eng., 2016)

Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach. - Abbas Sohrabpour; Shuai Ye; Gregory A. Worrell; Wenbo Zhang; Bin He 002 (IEEE Trans. Biomed. Eng., 2016)

Live demonstration: Continuous active probing and modulation of neural networks with a wireless implantable system. - 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 (BioCAS, 2017)

Continuous active probing and modulation of neural networks with a wireless implantable system. - 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 (BioCAS, 2017)

Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. - Yogatheesan Varatharajah; Brent M. Berry; Zbigniew T. Kalbarczyk; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NER, 2017)

EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. - Yogatheesan Varatharajah; Min Jin Chong; Krishnakant V. Saboo; Brent M. Berry; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NIPS, 2017)

Seizure Forecasting and the Preictal State in Canine Epilepsy. - Yogatheesan Varatharajah; Ravishankar K. Iyer; Brent M. Berry; Gregory A. Worrell; Benjamin H. Brinkmann (Int. J. Neural Syst., 2017)

Similar patterns of neural activity predict memory function during encoding and retrieval. - 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; et al. (NeuroImage, 2017)

SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal. - Han-Tai Shiao; Vladimir Cherkassky; Jieun Lee; Brandon Veber; Edward E. Patterson; Benjamin H. Brinkmann; Gregory A. Worrell (IEEE Trans. Biomed. Eng., 2017)

Creating neural "co-processors" to explore treatments for neurological disorders. - Scott Stanslaski; Jeffrey Herron; Elizabeth Fehrmann; Rob Corey; Heather Orser; Enrico Opri; Václav Kremen; Benjamin H. Brinkmann; Aysegul Gunduz; Kelly D. Foote; Gregory A. Worrell; Tim Denison (ISSCC, 2018)

Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. - Yogatheesan Varatharajah; Brent M. Berry; Jan Cimbalnik; Václav Kremen; Jamie Van Gompel; Matt Stead; Benjamin H. Brinkmann; Ravishankar K. Iyer; Gregory A. Worrell (CoRR, 2018)

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders. - 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; et al. (IEEE Trans. Biomed. Circuits Syst., 2018)

A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. - 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; et al. (NER, 2019)

Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. - 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 (Neuroinformatics, 2019)

Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. - Yogatheesan Varatharajah; Brent M. Berry; Boney Joseph; Irena Balzekas; Václav Kremen; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (EMBC, 2020)

DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology. - 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; et al. (SMC, 2020)

Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. - 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; et al. (Biomed. Signal Process. Control., 2020)

Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Leland Barnard; Benjamin H. Brinkmann; Gregory A. Worrell; David T. Jones; Yogatheesan Varatharajah (ML4H@NeurIPS, 2021)

Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. - Krishnakant V. Saboo; Anirudh Choudhary; Yurui Cao; Gregory A. Worrell; David T. Jones; Ravishankar K. Iyer (NeurIPS, 2021)

Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation. - 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; et al. (CoRR, 2021)

Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. - Victoria S. Marks; Krishnakant V. Saboo; Çagdas Topçu; Michal Lech; Theodore P. Thayib; Petr Nejedly; Václav Kremen; Gregory A. Worrell; Michal T. Kucewicz (NeuroImage, 2021)

Direct Electrical Stimulation of the Human Brain Has Inverse Effects on the Theta and Gamma Neural Activities. - 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; et al. (IEEE Trans. Biomed. Eng., 2021)

Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. - 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 (BIBM, 2022)

Deep Brain Stimulation of Anterior Nuclei of the Thalamus and Hippocampal Seizure Rate Modulate Verbal Memory Performance. - Victoria S. Marks; Tom J. Richner; Nicholas M. Gregg; Vladimir Sladky; Jaromir Dolezal; Václav Kremen; Gregory A. Worrell; Michal T. Kucewicz (EIT, 2022)

Deep Generative Networks for Algorithm Development in Implantable Neural Technology. - Filip Mivalt; Vladimir Sladky; Irena Balzekas; Tereza Pridalova; Kai J. Miller; Jamie Van Gompel; Timothy Denison; Benjamin H. Brinkmann; Václav Kremen; Gregory A. Worrell (SMC, 2022)

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices. - Vladimir Sladky; Václav Kremen; Kevin L. McQuown; Filip Mivalt; Benjamin H. Brinkmann; Jamie Van Gompel; Kai J. Miller; Timothy Denison; Gregory A. Worrell (SMC, 2022)

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. - 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; et al. (NeuroImage, 2022)

A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. - 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 (NER, 2023)

Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. - Teja Gupta; Neeraj Wagh; Samarth Rawal; Brent M. Berry; Gregory A. Worrell; Yogatheesan Varatharajah (NER, 2023)

Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. - Kai J. Miller; Klaus-Robert Müller; Gabriela Ojeda Valencia; Harvey Huang; Nicholas M. Gregg; Gregory A. Worrell; Dora Hermes (PLoS Comput. Biol., 2023)

A real-time HFO detection framework for localization of SOZ in iEEG recording of patients with epilepsy. - Behrang Fazli Besheli; Swamy Chandra Prakash; Amir Hossein Ayyoubi; Luciano R. F. Branco; Gregory A. Worrell; Zhiyi Sha; Jay R. Gavvala; Kai J. Miller; Nuri F. Ince (EMBC, 2024)

Automatic Monitoring of High-Frequency Autoimmune Disorder Related Seizures with Wearable Devices. - Jie Cui; Andrea Duque Lopez; Gabriella Brinkmann; Boney Joseph; Louis Faust; Julianna Ethridge; Gregory A. Worrell; Divyanshu Dubey; Benjamin H. Brinkmann (EMBC, 2024)

State space modeling of multidien cyclical progression of epilepsy. - Krishnakant V. Saboo; Yurui Cao; Václav Kremen; Suguna Pappu; Philippa J. Karoly; Dean R. Freestone; Mark J. Cook; Gregory A. Worrell; Ravishankar K. Iyer (ML4H@NeurIPS, 2024)

A Synchronous iEEG Data Acquisition Framework for Dual Brain Interchange Systems. - Amir Hossein Ayyoubi; Behrang Fazli Besheli; Jhan L. Okkabaz; Swamy Chandra Prakash; Kai J. Miller; Gregory A. Worrell; Nuri F. Ince (MWSCAS, 2024)

Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity. - Irena Balzekas; Joshua Trzasko; Grace Yu; Thomas J. Richner; Filip Mivalt; Vladimir Sladky; Nicholas M. Gregg; Jamie Van Gompel; Kai J. Miller; Paul E. Croarkin; Václav Kremen; Gregory A. Worrell (PLoS Comput. Biol., 2024)

Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework. - Behrang Fazli Besheli; Zhiyi Sha; Amir Hossein Ayyoubi; Swamy Chandra Prakash; Thomas R. Henry; Gregory A. Worrell; Kai J. Miller; Jonathon J. Parker; David Darrow; Nuri Firat Ince (IEEE J. Biomed. Health Informatics, 2025)