Gregory A. Worrell

The paper uses electrical stimulation to map directional connectivity in human visual cortex, revealing an asymmetric architecture of interareal influence.

The paper develops and validates an open-source ecosystem for implantable brain-computer interfaces and adaptive neuromodulation, demonstrating its capabilities through preclinical and human studies.

The paper measures conduction velocities in human white matter bundles using dMRI tractography and intracranial stimulation, finding high variability and a predominance of slow connections.

This study shows that single electrical pulses in white matter modulate visual evoked potentials but not broadband responses, suggesting additive noise effects and enhanced visual input synchrony.

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

This paper introduces a novel stereotactic coordinate system for the insula to improve surgical targeting and outcome assessment by accounting for individual anatomical variability.

This study identifies satellite microglia in adult mice that modulate inhibitory synapses and neuronal activity by physically shielding inhibitory connections.

This study evaluates stereo EEG-based brain-computer interfacing (BCI) in adults and children, finding that overt motor BCI is more effective than imagery BCI, with performance varying by age and cortical region.

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

The paper investigates neural components specific to episodic memory by analyzing cross-task decoding in patients performing free recall and arithmetic tasks.

The paper investigates impaired consciousness in temporal lobe seizures, finding that bilateral spread is not required, onset side has no effect, and specific EEG patterns predict impaired consciousness with high accuracy.

The paper maps motor execution representation in the human insula, showing somatotopic organization and effector-specific connectivity to primary motor cortex.

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.

This study evaluates eOPN3, a red-shifted inhibitory opsin, in a pig model of Temporal Lobe Epilepsy to modulate seizure activity using optogenetics.

The paper shows that impaired microglial phagocytosis due to TREM2 deficiency promotes seizure development in mice and correlates with seizure history in human patients.

The paper implants a neuromodulation platform in a beagle to study brain activity, finding the anterior ectosylvian gyrus responds selectively to social reinforcement, suggesting speech understanding may evolve from social brain structures.

The paper introduces an HFO-sequencing approach to analyze spontaneous HFOs in epilepsy patients, revealing propagation pathways and improving localization of epileptic tissue.

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.

ER-detect automates the detection of early evoked responses in iEEG data, achieving performance comparable to inter-rater reliability.

The paper tests if targeting brain stimulation based on anatomical and functional network properties improves memory in patients.

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

This study demonstrates the feasibility of endovascular vagus nerve stimulation using electrodes in the internal jugular vein, showing that electrode positioning is critical for effective VN activation.

This paper introduces a method to quantify and compare brain stimulation response shapes using canonical response parameterization, enabling statistical analysis of single-pulse intracranial electrical stimulation data.

This study uses electrical stimulation to identify distinct electrophysiological responses in the human ventral temporal cortex, revealing different input connectivity profiles from cortical and limbic regions.

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 identifies a motor association area in the central sulcus that interrupts the topological map of body movements generated by the precentral gyrus.

The paper shows that microglial process dynamics shield GABAergic inputs to enhance neuronal activity after anesthesia in mice.

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

The paper analyzes intracranial EEG data to show distinct spatiotemporal dynamics of slow, intermediate, and fast spectral activities during human memory formation.

The paper compares loss of consciousness mechanisms in focal impaired awareness and focal to bilateral tonic-clonic seizures using intracranial EEG data from patients.