Jamie J. Van Gompel

This paper develops a porcine model of mesial temporal lobe epilepsy using kainic acid and an implantable device to study seizures and electrophysiological features.

KenazLBM is a model that characterizes and predicts brain states from raw iEEG data, generalizing across subjects with heterogeneous recording channels.

This study shows that electrical stimulation of different pulvinar subregions in epilepsy patients evokes distinct patterns of brain activity in occipital, parietal, and temporal areas.

The paper develops a method to detect cycles in sparse, irregularly sampled neuro-behavioral timeseries using basis pursuit denoising with polynomial detrending, validated on epileptiform discharge data.

The paper identifies unique stimulation-evoked waveforms in distinct limbic subsystems using intracranial recordings, suggesting potential biomarkers for limbic network function.

The paper describes a system for chronic stimulation and recording of thalamic-hippocampal theta activities in humans during memory tasks, showing their correlation with memory performance and modulation by deep brain stimulation.

The paper develops a system integrating implantable brain stimulation devices with wearable electronics for adaptive stimulation and real-time analysis in natural environments.