Niranjan Khadka, PhD

Affiliations: 
2010-2020 Department of Biomedical Enginnering City College at City University of New York 
 2020- Department of Psychiatry Harvard Medical School - Massachusetts General Hospital 
Area:
Neural engineering, Neuromodulation, Medical device, Computational Modeling
Website:
https://connects.catalyst.harvard.edu/Profiles/display/Person/196002
Google:
"Niranjan Khadka"
Bio:

• Results-oriented biomedical engineering professional with 10+ years hands-on experience in research and development of tools/technologies utilized in brain/spinal cord electrical stimulation.
• Proven track record in computational FEM modeling of both MRI and CAD derived brain and spinal cord models, benchtop fabrication and testing, manuscript publishing, grant writing, patent drafting, data/image analysis, working with clinicians, and knowledge of documentation.

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Publications

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Farahani F, Khadka N, Parra LC, et al. (2023) Transcranial electric stimulation modulates firing rate at clinically relevant intensities. Biorxiv : the Preprint Server For Biology
Khadka N, Poon C, Cancel LM, et al. (2023) Multiscale multiphysics model of brain interstitial water flux by transcranial direct current stimulation. Journal of Neural Engineering
Rajagopalan NR, Vista WR, Fujimori M, et al. (2023) Cytoskeletal Remodeling and Gap Junction Translocation Mediates Blood-Brain Barrier Disruption by Non-invasive Low-Voltage Pulsed Electric Fields. Annals of Biomedical Engineering
Cardoso L, Khadka N, Dmochowski JP, et al. (2022) Computational modeling of posteroanterior lumbar traction by an automated massage bed: predicting intervertebral disc stresses and deformation. Frontiers in Rehabilitation Sciences. 3: 931274
Zannou AL, Khadka N, Bikson M. (2022) Bioheat Model of Spinal Column Heating During High-Density Spinal Cord Stimulation. Neuromodulation : Journal of the International Neuromodulation Society
Dmochowski JP, Khadka N, Cardoso L, et al. (2022) Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation. Frontiers in Medical Technology. 4: 925554
Baker TS, Zannou AL, Cruz D, et al. (2022) Development and Clinical Validation of a Finite Element Method Model Mapping Focal Intracranial Cooling. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Kreisberg E, Esmaeilpour Z, Adair D, et al. (2021) High-resolution computational modelling of the current flow in the outer ear during transcutaneous auricular Vagus Nerve Stimulation (taVNS). Brain Stimulation
Unal G, Swami JK, Canela C, et al. (2021) Adaptive current-flow models of ECT: Explaining individual static impedance, dynamic impedance, and brain current density. Brain Stimulation
Khadka N, Woods AJ, Bikson M. (2021) Transcranial direct current stimulation electrodes Springer. 263-291
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