Jing Jiang

This study maps TMS-induced discomfort across the whole brain using TMS-fMRI and shows it accounts for 12-25% of TMS-evoked responses.

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 challenges a recent study's conclusion that lesion network mapping primarily maps brain changes to one outcome, arguing that the methodology and visualization contain errors and biases.

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

The paper uses deep learning to identify brain-behavior dimensions and biotypes in youth with ADHD and anxiety disorders, revealing distinct symptom profiles and brain development patterns.

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

This study identifies neurochemical influences on fMRI response polarity in the striatum, showing opioidergic transmission contributes to negative signals while dopaminergic transmission is associated with positive signals.