English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Electroencephalography (EEG) has enjoyed considerable attention over the pastcentury and has been applied for diagnosis of epilepsy, stroke, traumatic braininjury and other disorders where 3D localization of electrical activity in thebrain is potentially of great diagnostic value. In this study we evaluate theprecision and accuracy of spatial localization of electrical activity in thebrain delivered by a popular reconstruction technique sLORETA applied to EEGdata collected by two commonly used low-density headsets with 14 and 19measurement channels, respectively. Numerical experiments were performed for arealistic head model obtained by segmentation of MRI images. The EEG sourcelocalization study was conducted with a simulated single active dipole, as wellas with two spatially separated simultaneously active dipoles, as a function ofdipole positions across the neocortex, with several different noise levels inthe EEG signals registered on the scalp. The results indicate that while thereconstruction accuracy and precision of the sLORETA method are consistentlyhigh in the case of a single active dipole, even with the low-resolution EEGconfigurations considered in the present study, successful localization is muchmore problematic in the case of two simultaneously active dipoles. Thequantitative analysis of the width of the reconstructed distributions of theelectrical activity allows us to specify the lower bound for the spatialresolution of the sLORETA-based 3D source localization in the considered cases

Evaluation of spatial resolution and noise sensitivity of sLORETA method for EEG source localization using low-density headsets