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Paradigm-free mapping with morphological component analysis: getting most out of fMRI data
2011
Wavelets and Sparsity XIV
Functional magnetic resonance imaging (fMRI) is a non-invasive imaging technique that maps the brain's response to neuronal activity based on the blood oxygenation level dependent (BOLD) effect. This work proposes a novel method for fMRI data analysis that enables the decomposition of the fMRI signal in its sources based on morphological descriptors. Beyond traditional fMRI hypothesis-based or blind data-driven exploratory approaches, this method allows the detection of BOLD responses without
doi:10.1117/12.893920
fatcat:pkqdod3trrc5zf4qk4dd5n7gxi