Predictive models for non-invasive brain stimulation (PRENIBS)

Description of the granted funding

The activity of brain neurones can be manipulated by applying a strong magnetic field to the head. This transcranial magnetic stimulation can be used for both studying brain function and as a potential treatment for several brain disorders. However, the exact mechanisms of action in the brain for this method are still unclear. In this project, researchers at Aalto University will develop novel computational methods based on brain imaging to create precise models of the effects of transcranial magnetic stimulation on the brain. The ability of the models to predict measurable electrical responses in individuals will be investigated through experimental methods. As a result of the project, an openly available and effective prediction model will be created, allowing brain researchers and doctors to target stimulation exactly where it is desired. This may make brain stimulation therapies a safe and more efficient means of detecting and treating brain disorders.
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Starting year

2024

End year

2028

Granted funding

Ilkka Laakso Orcid -palvelun logo
546 203 €

Funder

Research Council of Finland

Funding instrument

Academy projects

Decision maker

Scientific Council for Natural Sciences and Engineering
13.06.2024

Other information

Funding decision number

362610

Fields of science

Medical engineering

Research fields

Lääketieteellinen tekniikka

Identified topics

brain, neuroscience