Sparse representation of complex-valued fMRI data based on spatiotemporal concatenation of real and imaginary parts
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.109047
Abstract: BACKGROUND Spatial sparsity has been found to be in line with the intrinsic characteristic of brain activation. However, identifying a sparse representation of complex-valued fMRI data is challenging due to high noise within the phase… read more here.
Keywords: valued fmri; fmri data; sparse representation; real imaginary ... See more keywords
Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13631
Abstract: We propose a model-based approach that combines Bayesian variable selection tools, a novel spatial kernel convolution structure, and autoregressive processes for detecting a subject's brain activation at the voxel level in complex-valued fMRI (CV-fMRI) data.… read more here.
Keywords: valued fmri; structure; kernel; complex valued ... See more keywords