Decreasing the spatial uncertainty in non-invasive brain stimulation, EEG and MEG based on advanced head modulation

Research focus 
Transcranial Electric Stimulation (TES) and Transcranial Magnetic Stimulation (TMS) use electric fields applied non-invasively to modulate neural activity. Both are widely used in neuroscience research, and have promising clinical applications. Additionally, Electroencephalography (EEG) and Magnetoencephalography (MEG) are methods to record neural activity using electric and magnetic signals respectively. They have many research and clinical applications, and their physical principles that determine how the electric and magnetic signals propagate in the head are closely related to TES and TMS. In all methods described above, the electromagnetic fields are shaped by the head anatomy, which varies on an individual basis, and can be a source of variability and uncertainty.

The project is focused on developing tools to simulate electromagnetic fields generated by TES and TMS and recorded by MEG and EEG in realistic head models. Additionally, we also want to develop new ways to leverage these simulations for better understanding outcomes and plan interventions. Most of the research done for the project is translated into an accessible free and open-source software, SimNIBS, to be used by the wide scientific community. SimNIBS can automatically create head models based on Magnetic Resonance (MR) images, and has easy-to-use tools to set-up, run, visualize and post-process electric field simulations.

The project is done in a close collaboration between the Department of Health Technology at the Technical University of Denmark (DTU) and the Danish Research Centre for Magnetic Resonance (DRCMR).

Scientific output
Find Guilherme's publications here.