Pregled bibliografske jedinice broj: 398972
Spatio-temporal analysis of simulated neuromagnetic responses to faces
Spatio-temporal analysis of simulated neuromagnetic responses to faces // NeuroMath Workshop: Book of Abstracts
Leuven, Belgija, 2009. (poster, nije recenziran, sažetak, znanstveni)
CROSBI ID: 398972 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Spatio-temporal analysis of simulated neuromagnetic responses to faces
Autori
Sušac, Ana ; Supek, Selma
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
NeuroMath Workshop: Book of Abstracts
/ - , 2009
Skup
NeuroMath Workshop
Mjesto i datum
Leuven, Belgija, 12.03.2009. - 13.03.2009
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
MEG; numerical simulations; temporal dynamics; source models
Sažetak
Magnetoencephalographic (MEG) recordings and various spatio-temporal source localization methods are often used to study cortical responses to faces. Face processing involves activation of multiple cortical areas often with a pronounced synchronicity which can adversely affect spatio-temporal source parameter estimation accuracy. The goal of our simulation study was to explore conditions which allow identification of multiple synchronously active focal sources in particular as a function of the width of the selected temporal window. The simulated data sets were generated using a forward simulator in the MRIVIEW software package (Ranken et al., 2004). The segmented cortical surface from subject's MRI was used to determine the local cortical geometry. Locations, strengths, and dynamics of the simulated point current dipole sources were defined to correspond to the typical findings from our empirical data (Susac et al, 2004, 2008) ; the source orientation was assumed to be perpendicular to the local cortical geometry. A Gaussian white noise was added to the simulated MEG responses to calculate noisy forward fields, which were then submitted to the Calibrated Start Spatio-Temporal (CSST) inverse procedure. The semi-automated CSST algorithm randomly selected initial starting locations from the previously segmented cortical surface and thousands of unconstrained independent fits in a search for a global minimum, using data from all sensors. Our results revealed that it was possible to identify multiple active sources (e.g. up to seven) when the whole time interval was analyzed and thousands of the initial starting locations were used. However, locations and dynamics of the identified sources were accurate only for certain source configurations in which close sources were not simultaneously active. Our simulations demonstrated improved source parameter estimation accuracy when using smaller time intervals, especially when sources were rather close, as often encountered in the analysis of neuromagnetic responses to faces.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Projekti:
119-1081870-1252 - Kognitivna neurodinamika (Supek, Selma, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb