Nicholas T. Trapp

This study shows that TMS to the dlPFC modulates single-neuron activity in humans, with facilitation of inhibitory firing and suppression of excitatory drive in specific brain networks.

This study uses TMS combined with iEEG and fMRI to show that parietal TMS guided by hippocampal connectivity engages and modulates hippocampal activity, with effects related to individual FC strength and theta oscillations.

This paper presents a preprocessing pipeline for TMS-iEEG data, showing it reduces artifacts and noise, and highlights methodological choices that impact results.

This study shows that TMS to the DLPFC reduces high-frequency neural activity in the sgACC, suggesting a mechanism for its antidepressant effects.

This study uses TMS-iEEG to show that dlPFC stimulation evokes activity in sgACC, providing electrophysiologic evidence of its connectivity.

This study investigates how TMS affects neural rhythms in different brain regions using intracranial recordings, finding both low-frequency increases and high-frequency decreases in response to stimulation.

This study identifies individualized rTMS targets for traumatic brain injury-associated depression using resting-state network mapping, showing improved connectivity after treatment.

This study uses intracranial electrocorticography to evaluate the effects of transcranial magnetic stimulation in humans, showing localized and network-level brain responses.

This paper applies individualized resting-state network mapping to guide rTMS treatment for treatment-resistant depression in a retired NFL player, showing clinical improvement.

This study uses a 3D analysis to show that dorsal STN DBS improves motor function more than ventral STN DBS, but motor and non-motor effects overlap significantly.