Timothy H. Lucas

Odor representations from the two nostrils are temporally segregated in human piriform cortex

The paper shows that odor information from each nostril is encoded separately in the piriform cortex, with ipsilateral odors processed faster than contralateral ones.

"Primed to Perform:" Dynamic white matter graph communicability may drive metastable network representations of enhanced preparatory cognitive control

The paper identifies preparatory neural states associated with cognitive control by analyzing white matter communicability in human intracranial recordings.

Simple Human Response Times are Governed by Dual Anticipatory Processes with Distinct and Distributed Neural Signatures

The paper investigates anticipatory response biases in human behavior using iEEG data and identifies distinct neural signatures for two types of biases.

Neurophysiological evidence for cognitive map formation during sequence learning

This study links cognitive map formation during sequence learning to neural activity in the temporal lobe using behavioral modeling and iEEG recordings.

Fluctuations in functional connectivity associated with interictal epileptiform discharges (IEDs) in intracranial EEG

This study examines how interictal epileptiform discharges (IEDs) affect functional connectivity in intracranial EEG data across different frequency bands and identifies key predictors of these changes.

A modular high-density 294-channel μECoG system on macaque vlPFC for auditory cognitive decoding

The paper develops a high-density μECoG system for auditory cognitive decoding in macaques and shows improved decoding with more electrodes over time.

High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients

Genetic and Neuroanatomical Support for Functional Brain Network Dynamics in Epilepsy

This study predicts ictal and preictal brain network dynamics in epilepsy using anatomical, connectivity, and genetic features, finding white matter plays a greater role in seizure dynamics than geometry or genetics.

Predictive control of electrophysiological network architecture using direct, single-node neurostimulation in humans

This study uses network control theory to predictably reconfigure brain network interactions through targeted neurostimulation in humans.

White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions

This paper uses network control theory to model how white matter tracts guide electrical stimulation in the brain, showing that real white matter structures better predict state transitions than artificial models.

Recurring functional interactions predict network architecture of interictal and ictal states in neocortical epilepsy

The paper uses machine learning to analyze brain network dynamics in epilepsy patients, finding similar subgraph structures in seizure and baseline states and identifying predictive patterns for seizure onset.

Virtual cortical resection reveals push-pull network control mechanism preceding seizure evolution

The paper uses virtual cortical resection to identify push-pull control mechanisms that predict seizure evolution in epilepsy.