Niranjan Khadka

This study assesses how race, sex, and electrode montage affect brain-wide current flow during ECT using computational models.

The paper evaluates the MNI152 brain template's fidelity to real human morphology and finds it systematically mismatches population anatomy, suggesting the need for more accurate templates.

This paper introduces an MRI-free and neuronavigation-free method for localizing deep brain targets using scalp measurements, achieving a mean localization error of 3.82 mm.

This study compares electric field models derived from ultra-low-field (ULF) and 3T MRI scans, finding significant differences in cortical regions but less so in deeper brain structures.

This paper introduces High-Capacity tDCS (HC-tDCS) and demonstrates its tolerability and increased cortical stimulation compared to conventional tDCS.

This study compares frequency-dependent and capacitive tissue properties in spinal cord stimulation models to assess their impact on electric fields and heating, finding that quasi-static approximation remains valid under certain conditions.

This study shows that clinically relevant electric fields modulate neuronal firing rates in rats, with excitatory neurons showing polarity-specific responses.

The paper introduces a framework for neurovascular-modulation based on brain vascular ultra-structure, showing how electrical fields across the BBB and neuronal polarization can be modulated for therapeutic applications.

The paper introduces an open-source SCS model with high anatomical detail and precision for simulating spinal cord stimulation.

The paper provides a tutorial on using Simpleware and COMSOL Multiphysics to create and solve FEM models for simulating tDCS current flow based on MRI-derived head anatomy.