Personalizing Brain Stimulation Dosage by New Neurostimulation Computational Model
| Project/Area Number |
19K20668
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 90110:Biomedical engineering-related
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2019: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | Brain Stimulation / Neuron / Biophysical Model / Electromagnetics / Brain stimulation / TMS / Multiscale modeling / Electric field / Nerve Modelling / Electroceuticals / Multiscale Modelling / Electrophysiology |
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| Outline of Research at the Start |
Brain stimulation is a therapeutic modality that delivers a dosage in the form of an electric current to target brain circuits with higher therapeutic potential than pharmacological approach. However, it is still unclear how the delivered dosage helps medical conditions. A multiscale electrophysiological model will be developed to describe how the dosage interacts with the complex circuitry of the human cortex, with the aim of determining optimal parameters for individualized dosage.
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| Outline of Final Research Achievements |
Electric currents are induced in the brain using stimulation devices for medical applications. This work estimated the interaction between the induced electric currents and brain neurons during magnetic stimulation. A novel computational model was developed that combined (1) computation of induced electric currents in the human head based on electrophysiological properties and anatomical data from magnetic resonance imaging and (2) cortical neuron activation based on microscopic biophysical modelling. The model successfully predicted the stimulation parameters and stimulation area in the brain for generating measured motor responses. This permitted optimization of stimulation parameters for different motor brain areas, improvement of selectivity protocols, and evaluation of limits for international safety guidelines/standards.
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| Academic Significance and Societal Importance of the Research Achievements |
This research answered where and how much stimulation occurs at the cellular level during brain stimulation. This finding will directly apply to medical treatments through individualized stimulation protocols that will accelerate the development of brain stimulation protocols.
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Report
(4 results)
Research Products
(22 results)
