Effect of Sensor Density on eLORETA Source Localization Accuracy

Serena Dattola, Fabio La Foresta, Lilla Bonanno, Simona De Salvo, Nadia Mammone, Silvia Marino, Francesco Carlo Morabito

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The EEG source localization is an interesting area of research because it provides a better understanding of brain physiology and pathologies. The source localization accuracy depends on the head model, the technique for solving the inverse problem, and the number of electrodes used for detecting the EEG. The purpose of this study is to examine the localization accuracy of the eLORETA method applied to high-density EEGs (HDEEGs). Starting from the 256-channel EEGs, three different configurations were extracted. They consist of 18, 64, and 173 electrodes. The comparison of the results obtained from the different configurations shows that an increasing number of electrodes improve eLORETA source localization accuracy. It is also proved that a few number of electrodes could be not sufficient to detect all active sources. Finally, some sources resulting significant when few electrodes are used could turn out to be less significant when EEG is detected by a greater number of sensors.

Original languageEnglish
Title of host publicationSmart Innovation, Systems and Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages403-414
Number of pages12
Volume151
DOIs
Publication statusPublished - Jan 2020

Publication series

NameSmart Innovation, Systems and Technologies
Volume151
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Keywords

  • eLORETA
  • High-density EEG
  • Source localization

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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