title: High-resolution EEG source imaging of one-year-old children.
abstract: Recently we described an iterative skull conductivity and source location estimation (SCALE) algorithm for simultaneously estimating head tissue conductivities and brain source locations. SCALE uses a realistic FEM forward problem head model and scalp maps of 10 or more near-dipolar sources identified by independent component analysis (ICA) decomposition of sufficient high-density EEG data. In this study, we applied SCALE to 20 minutes of 64-channel EEG data and magnetic resonance (MR) head images from four twelve-months-of-age infants. For each child, we selected 15-16 near-dipolar independent components from multiple-model adaptive mixture ICA (AMICA) decomposition of their EEG data. SCALE converged to brain-to-skull conductivity ratio (BSCR) estimates in the 10-12 range and mostly compact gyral or sulcal cortical distributions for the IC sources.
authors.forename: Zeynep Akalin
authors.initials: ZA
authors.lastname: Acar
authors.forename: Silvia
authors.initials: S
authors.lastname: Ortiz-Mantilla
authors.forename: April
authors.initials: A
authors.lastname: Benasich
authors.forename: Scott
authors.initials: S
authors.lastname: Makeig
mesh_terms: D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D007223:Infant; D008954:Models, Biological; D012886:Skull / Q000033:anatomy & histology* / Q000502:physiology