High-resolution electro-encephalogram: Source estimates of Laplacian-transformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images

F. Babiloni, C. Babiloni, L. Locche, F. Cincotti, P. M. Rossini, F. Carducci

Research output: Contribution to journalArticle

Abstract

A novel high-resolution electro-encephalographic (EEG) procedure is proposed, including high spatial sampling (128 channels), a realistic magnetic resonance-constructed subject head model, a multi-dipole cortical source model and regularised weighted minimum-norm linear inverse source estimation (WMN). As an innovation, EEG potentials (two healthy subjects; median-nerve, short-latency somatosensory-evoked potentials (SEPs) are preliminarily Laplacian-transformed (LT) to remove brain electrical activity generated by subcortical sources (i.e. not represented in the source model). LT-WMN estimates are mathematically evaluated by figures of merit (WMN estimates as a reference). Results show higher dipole identifiability (0.69; 0.088), lower dipole localisation error (0.6 mm; 7.8 mm) and lower spatial dispersion (8.6 mm; 24 mm) in LT-WMN than in WMN estimates (Bonferroni corrected p

Original languageEnglish
Pages (from-to)512-519
Number of pages8
JournalMedical and Biological Engineering and Computing
Volume38
Issue number5
Publication statusPublished - Sep 2000

Keywords

  • High-resolution EEG
  • Linear inverse source estimation
  • Somatosensory-evoked potentials
  • Surface laplacian

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Computer Science Applications
  • Computational Theory and Mathematics

Fingerprint Dive into the research topics of 'High-resolution electro-encephalogram: Source estimates of Laplacian-transformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images'. Together they form a unique fingerprint.

  • Cite this