Event-related FMRI analysis with maximum correlation modelling


Autoria(s): Duff, E.; Xiong, J. H.; Cunnington, R.; Egan, G.
Data(s)

01/01/2003

Resumo

Functional magnetic resonance imaging (FMRI) analysis methods can be quite generally divided into hypothesis-driven and data-driven approaches. The former are utilised in the majority of FMRI studies, where a specific haemodynamic response is modelled utilising knowledge of event timing during the scan, and is tested against the data using a t test or a correlation analysis. These approaches often lack the flexibility to account for variability in haemodynamic response across subjects and brain regions which is of specific interest in high-temporal resolution event-related studies. Current data-driven approaches attempt to identify components of interest in the data, but currently do not utilise any physiological information for the discrimination of these components. Here we present a hypothesis-driven approach that is an extension of Friman's maximum correlation modelling method (Neurolmage 16, 454-464, 2002) specifically focused on discriminating the temporal characteristics of event-related haemodynamic activity. Test analyses, on both simulated and real event-related FMRI data, will be presented.

Identificador

http://espace.library.uq.edu.au/view/UQ:39879

Idioma(s)

eng

Publicador

Taylor and Francis

Palavras-Chave #Psychology, Multidisciplinary #1701 Psychology
Tipo

Conference Paper