Localization of brain activity is of great importance for clinical applications and for basic neuroscience. However, this is difficult to achieve from surface fNIRS and EEG data as it requires the solution of an ill-posed inverse problem using anatomical accurat models of the human head. To avoid costly and rare MRI scans pre-experiment, GINKO develops data-driven methods to approximate individual head anatomies from easy measurable extra information as photogrammetry. These individualized head models will improve source localization algorithms and therewith the whole fNIRS and EEG data analysis.
Co-Lead Agility Project
Director
Research Junior Group Lead
Doctoral Researcher