HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models

• Published in: 2013 International Workshop on Pattern Recognition in Neuroimaging pp. 165 - 169
• Main Authors: Pedregosa, Fabian, Eickenberg, Michael, Thirion, Bertrand, Gramfort, Alexandre
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2013
• Subjects: BOLD; Brain models; Computational modeling; Decoding; Encoding; Estimation; fMRI; GLM; hemodynamic; HRF; Vectors

Extracting activation patterns from functional Magnetic Resonance Images (fMRI) datasets remains challenging in rapid-event designs due to the inherent delay of blood oxygen level-dependent (BOLD) signal. The general linear model (GLM) allows to estimate the activation from a design matrix and a fix...