Recent advances in transcranial magnetic stimulation: Devices, modeling, and applications

#TMS #neuromodulation #Brain-Computer #Interface #Magnetic #Stimulation #computational #neuroscience.
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A seminar on Recent advances in transcranial magnetic stimulation: Devices, modeling, and applications”



  Date and Time

  Location

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  • Date: 21 Mar 2025
  • Time: 06:00 PM UTC to 07:30 PM UTC
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  • 401 W Main Street, Mechanical and Nuclear Engineer
  • Virginia Commonwealth University
  • Richmond , Virginia
  • United States 23284
  • Building: East Engineering Building
  • Room Number: E3229
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  • Co-sponsored by Mechanical and Nuclear Engineering, VCU


  Speakers

Zhi of National Institute of Mental Health (NIMH) NIH

Topic:

Recent advances in transcranial magnetic stimulation: Devices, modeling, and applications

This presentation offers an in-depth overview of transcranial magnetic stimulation (TMS) technology, emphasizing its latest advancements in device engineering, computational modeling, and clinical applications. The discussion will cover innovations that have enhanced the precision, safety, and usability of TMS devices, thereby facilitating more effective therapeutic interventions. In addition, recent developments in computational modeling will be examined, illustrating how improved predictions of electromagnetic field distributions enable personalized stimulation protocols and deepen our understanding of TMS mechanisms. Finally, the talk will review emerging applications of TMS—ranging from the treatment of depression and neurorehabilitation to cognitive enhancement—highlighting the multidisciplinary progress that is reshaping the field of neuromodulation.

Biography:

Dr. Deng is a Staff Scientist, Director of the Computational Neurostimulation Research Program, at the National Institute of Mental Health. He received the SB degree in physics, SB and MEng in electrical engineering and computer science, from MIT. He received a PhD in electrical engineering from Columbia University. He completed postdoctoral training at Duke University and a research fellowship at NIMH. His research focuses on computational approaches 1) to understand the physics and biophysics of neurostimulation, 2) to optimize dosing and individualization, and 3) to advance noninvasive brain stimulation technology development via model-informed design. His pivotal work on electric field modeling for transcranial magnetic stimulation is widely cited and provided evidence that informed regulatory clearance of TMS therapeutic systems.

Address:United States