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A Novel Approach for Optimizing the Design of Transcranial Magnetic Stimulation Coil for the Human Brain

Abstract

Charles Lu*, Zhi-De Deng and Fow-Sen Choa

Transcranial Magnetic Stimulation (TMS) is a neuromodulation technique that has been approved by the Food and Drug Administration for several neuropsychiatric disorders, including major depression and obsessive compulsive disorder. It is also applied as a research tool for neurological disorders. However, the therapeutic efficacy of TMS treatment has been modest, despite of decades of research. While there are many potential reasons as to why, one of the most obvious is the technological limitations of current technologies. One prominent example is the penetration depth focality tradeoff of existing TMS coils. The most widely used Figure of 8 coils stimulate brain regions just superficially under the coil, missing deep brain regions known to be critically involved in psychiatric disorders; while ring type coils can stimulate deep into the brain, but stimulate a large brain volume (lack of focality). A new coil design strategy is proposed: magnetic materials encompassing the human head are optimized to shape the electromagnetic field generated by the primary coil. Specifically, a mathematical model was developed to describe the physical problem; the magnetic materials were discretized into unit blocks; Newton’s gradient descent method was applied to iteratively optimize the spatial distribution of the unit blocks to achieve a desired electric field distribution inside a head model. Results reveal that the proposed design achieves a coil penetration depth equal to or better than state of the art commercial coils, while improving the depth focality tradeoff by a factor of 2.2 to 2.7. As a proof of concept, a prototype coil and a spherical head model were constructed; the spatial distribution of the induced electric field inside the head model was mapped. Results validated the proposed coil design. TMS coils based on this novel design strategy could potentially lead to better therapeutic outcome.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert

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