Padmavathi Sundaram

This paper develops a dynamic field nulling method for wearable OPM-MEG to improve motion tolerance and source localization accuracy during head movements.

The paper compares signal-to-noise ratio (SNR) of MEG signals from on-scalp and off-scalp sensors, finding that OPMs offer better SNR for superficial sources and smaller heads.

This study investigates how transcranial magnetic stimulation (TMS) activates Purkinje cells and climbing fibers in turtle cerebellum, showing direct and synaptic activation mechanisms within the first 1.2 ms.

This paper quantifies cerebellar signal detectability in MEG and EEG for epilepsy using anatomically informed source modeling, finding that depth and geometry, not proximity, primarily affect signal-to-noise ratio.

The paper presents a rat head phantom for validating TMS-induced electric fields using 3D printing and compares measurements to finite element simulations.

This paper designs and fabricates biplanar nulling coils for OPM-MEG using PCBs, achieving field reduction comparable to traditional methods in a less shielded environment.

The paper constructs accurate turtle cerebellum models using microCT data and simulates neuromodulation with BEM-FMM for computational electromagnetics verification.

The paper decodes auditory working memory content from EEG aftereffects of auditory-cortical TMS using multivariate pattern analysis.

This study computes the activating function and surface charge density of a cortical neuron under an external electric field using BEM-FMM, showing significant perturbations and improved accuracy compared to prior methods.