Joseph I. Tracy

The paper introduces a framework to analyze network topology in focal epilepsy using resting-state fMRI, identifying two axes that reveal distinct topological phenotypes and their clinical associations.

This study shows that structural network architecture of stimulation targets determines the effectiveness of closed-loop brain stimulation for memory improvement.

The paper identifies normative and non-normative intrinsic connectivity networks in TLE patients with intact or impaired cognition, showing cognitive deficits are linked to individualized network status.

This study uses network control theory to analyze energy dynamics in temporal lobe epilepsy, finding increased control energy requirements and metabolic asymmetry in affected brain regions.

The paper compares memory processing in TLE patients with and without compensation, identifying distinct brain regions and functional connectivity patterns that support adaptive memory in those with intact status.

This paper identifies disrupted basal ganglia-thalamocortical loops in patients with focal to bilateral tonic-clonic seizures, linking these disruptions to increased seizure generalization risk.

The paper examines how high-frequency gamma activity in epilepsy patients correlates with resting-state BOLD fluctuations, showing distinct hubness in memory encoding networks.

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

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.