Research Interests- Understanding mechanisms underlying Epilepsy
Epilepsy is a serious neurological disorder characterized by seizures. About 1% of the world population is affected by this disease and a fraction of 1/3 of patients does not respond to medication. In order to help us understand the pathological behavior we observe during the brain’s epileptiform activity, our group applies a variety of engineering techniques including advanced statistical and digital signal processing, non-linear dynamics, and modeling (link to basic texts) (link to second edition text). The ultimate goal of the research in our lab is to address this enormous problem by improved understanding of the mechanisms that govern different types of epilepsy.
See the lab website for further details, teaching, and videos on lectures
Our research approach is interdisciplinary, including:
Mathematical modeling
Computational modeling
Animal models
Study of tissue from patients with epilepsy
Analysis of clinical recordings
The Role of Scalp EEG Recordings During Cortical Visual Prosthesis Testing.
The Role of Scalp EEG Recordings During Cortical Visual Prosthesis Testing. Artif Organs. 2025 May 27.
PMID: 40421717
Third-order entropy for spatiotemporal neural network characterization.
Third-order entropy for spatiotemporal neural network characterization. J Neurophysiol. 2025 Apr 01; 133(4):1234-1244.
PMID: 40098383
High-density multielectrode arrays bring cellular resolution to neuronal activity and network analyses of corticospinal motor neurons.
High-density multielectrode arrays bring cellular resolution to neuronal activity and network analyses of corticospinal motor neurons. Sci Rep. 2025 01 03; 15(1):732.
PMID: 39753665
Aberrant fast spiking interneuronal activity precedes seizure transitions in humans.
Aberrant fast spiking interneuronal activity precedes seizure transitions in humans. medRxiv. 2024 Jan 26.
PMID: 38343792
A Novel Quantitative Metric Based on a Complete and Unique Characterization of Neural Network Activity: 4D Shannon's Entropy.
A Novel Quantitative Metric Based on a Complete and Unique Characterization of Neural Network Activity: 4D Shannon's Entropy. bioRxiv. 2023 Sep 15.
PMID: 37745513
Emerging Activity Patterns and Synaptogenesis in Dissociated Hippocampal Cultures.
Emerging Activity Patterns and Synaptogenesis in Dissociated Hippocampal Cultures. bioRxiv. 2023 May 18.
PMID: 37292953
Spatiotemporal spike-centered averaging reveals symmetry of temporal and spatial components of the spike-LFP relationship during human focal seizures.
Spatiotemporal spike-centered averaging reveals symmetry of temporal and spatial components of the spike-LFP relationship during human focal seizures. Commun Biol. 2023 03 25; 6(1):317.
PMID: 36966217
Third-order motifs are sufficient to fully and uniquely characterize spatiotemporal neural network activity.
Third-order motifs are sufficient to fully and uniquely characterize spatiotemporal neural network activity. Sci Rep. 2023 Jan 05; 13(1):238.
PMID: 36604489
Digital reconstruction of infraslow activity in human intracranial ictal recordings using a deconvolution-based inverse filter.
Digital reconstruction of infraslow activity in human intracranial ictal recordings using a deconvolution-based inverse filter. Sci Rep. 2022 08 11; 12(1):13701.
PMID: 35953580
Manifestation of Hippocampal Interictal Discharges on Clinical Scalp EEG Recordings.
Manifestation of Hippocampal Interictal Discharges on Clinical Scalp EEG Recordings. J Clin Neurophysiol. 2023 Feb 01; 40(2):144-150.
PMID: 34010227