Evaluation of Spatial Resolution and Noise Sensitivity of sLORETA Method for EEG Source Localization Using Low-Density Headsets
Sajib Saha, Yakov I. Nesterets, Murat Tahtali, Timur E. Gureyev

TL;DR
This study assesses the spatial resolution and noise sensitivity of the sLORETA EEG source localization method using low-density headsets, revealing high accuracy for single sources but challenges with multiple sources.
Contribution
It provides a quantitative evaluation of sLORETA's spatial resolution and noise robustness with low-density EEG setups, highlighting limitations in localizing multiple simultaneous sources.
Findings
High accuracy in localizing single active dipoles.
Difficulty in accurately localizing two simultaneous dipoles.
Established lower bounds for spatial resolution of sLORETA.
Abstract
Electroencephalography (EEG) has enjoyed considerable attention over the past century and has been applied for diagnosis of epilepsy, stroke, traumatic brain injury and other disorders where 3D localization of electrical activity in the brain is potentially of great diagnostic value. In this study we evaluate the precision and accuracy of spatial localization of electrical activity in the brain delivered by a popular reconstruction technique sLORETA applied to EEG data collected by two commonly used low-density headsets with 14 and 19 measurement channels, respectively. Numerical experiments were performed for a realistic head model obtained by segmentation of MRI images. The EEG source localization study was conducted with a simulated single active dipole, as well as with two spatially separated simultaneously active dipoles, as a function of dipole positions across the neocortex, with…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Advanced MRI Techniques and Applications
