Ekansh Sareen

This study uses TMS and spinal fMRI to show how spinal cord activity changes with TMS intensity, revealing intensity-dependent BOLD responses in specific spinal regions.

This paper develops a multi-task neural network to jointly identify subjects and decode tasks from inferred functional brain graphs, showing improved task-decoding performance using seed-based FC graphs over raw fMRI data.

This study shows that MEG signatures for individual identification improve during task-related behavior compared to resting-state, with controlled tasks showing the most significant improvements.

This paper evaluates MEG brain fingerprinting using resting-state data, finding that performance depends on connectivity measures, frequency bands, and spatial correction, with higher scores in phase-coupling methods and specific brain networks.

This study examines brain connectivity differences in individuals with intellectual disability compared to typically developing controls using EEG during music and resting states.