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Efficient modeling and inference for event-related fMRI data
2008
Computational Statistics & Data Analysis
Event-related functional magnetic resonance imaging (efMRI) has emerged as a powerful technique for detecting brains' responses to presented stimuli. A primary goal in efMRI data analysis is to estimate the Hemodynamic Response Function (HRF) and to locate activated regions in human brains when specific tasks are performed. This paper develops new methodologies that are important improvements not only to parametric but also to nonparametric estimation and hypothesis testing of the HRF. First,
doi:10.1016/j.csda.2008.03.033
fatcat:gajlkoutq5dwlcfzq3ettwlnka