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Project

Advanced head modelling methods for the study of neural connectivity

Current studies suggest the potential of hdEEG (high density EEG) as brain imaging tool, which can provide information about human brain dynamics with both accurate spatial and temporal resolution. However, EEG imaging results can be substantially affected by the use of an inaccurate head model because electric fields are distorted in the propagation from the sources to the sensors. In order to address this problem, the main goals of my PhD project are: the development of an efficient and reliable approach to automatically extract electrodes positions from 3D scanning data; the optimization of source activity reconstructions by means of realistic individualized head models, which can be used for both healthy subjects and for patients with neurological conditions; the reliable detection of EEG brain networks, based on the individualized head models and the accurate electrodes positions information.
In conclusion, my PhD work is expected to improve the available technology to study neuronal activity and connectivity in both patients and healthy subjects. In particular, the outcomes of my work will be particularly useful in patient studies and will contribute to make EEG a valid diagnostic tool for neurological disorders.

Date:1 Feb 2017 →  1 Sep 2021
Keywords:Head model, EEG, MR
Disciplines:Education curriculum
Project type:PhD project