Sumientra M. Rampersad

This study evaluates how representative MNI152-derived montages are for temporal interference stimulation across different brain targets and finds they underrepresent deep targets but overestimate coverage ratios.

The paper quantifies variability in temporal interference simulations caused by non-deterministic mesh generation and shows that multi-run averaging reduces this noise.

This paper benchmarks seven tTIS optimization methods across 250 brain targets to provide evidence-based recommendations for selecting the best method based on target location, tissue type, and computation time.

This paper develops M2M-InvNet, a generative 3D CNN that maps TMS-induced MEP responses to stimulated regions in the human motor cortex, achieving the best reconstruction accuracy among tested architectures.

This study evaluates adverse events and blinding efficacy of repeated transcranial electrical stimulation in 1,019 participants across four sites, finding that blinding was less effective for tDCS and tACS than tRNS.