Thesis topic proposal
Source localization methods


Institute: University of Pécs
clinical medicine
Doctoral School of Clinical Neurosciences

Thesis supervisor: Márton Tamás Tóth
Location of studies (in Hungarian): PTE ÁOK
Abbreviation of location of studies: ÁOK

Description of the research topic:

For source localization from huma EEG, we use low resolution electromagnetic tomography (LORETA). LORETA computes current density at each voxel (2394 voxels) in the solution space as the linear, weighted sum of the scalp electric potentials. LORETA uses a unique approach for source localization regardless to the number of generators: it solves the inverse problem based on the assumption that the smoothest of all possible activity distributions is the most plausible
one. This assumption is supported by electrophysiology, where neighbouring neuronal populations show highly correlated activity. Thus, LORETA results in solutions where neighbouring voxels have maximally similar activity. Regardless of the electrophysiological validity of the smoothness constraint, LORETA is capable of correct, although blurred (low resolution) 3D localization. In this work, we use LORETA during cognitive tasks.

Number of students who can be accepted: 1

Deadline for application: 2023-05-19

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )