Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288311935> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4288311935 abstract "Bayesian whole-brain functional magnetic resonance imaging (fMRI) analysis with three-dimensional spatial smoothing priors has been shown to produce state-of-the-art activity maps without pre-smoothing the data. The proposed inference algorithms are computationally demanding however, and the proposed spatial priors have several less appealing properties, such as being improper and having infinite spatial range. We propose a statistical inference framework for whole-brain fMRI analysis based on the class of Mat'ern covariance functions. The framework uses the Gaussian Markov random field (GMRF) representation of possibly anisotropic spatial Mat'ern fields via the stochastic partial differential equation (SPDE) approach of Lindgren et al. (2011). This allows for more flexible and interpretable spatial priors, while maintaining the sparsity required for fast inference in the high-dimensional whole-brain setting. We develop an accelerated stochastic gradient descent (SGD) optimization algorithm for empirical Bayes (EB) inference of the spatial hyperparameters. Conditionally on the inferred hyperparameters, we make a fully Bayesian treatment of the brain activity. The Mat'ern prior is applied to both simulated and experimental task-fMRI data and clearly demonstrates that it is a more reasonable choice than the previously used priors, using comparisons of activity maps, prior simulation and cross-validation." @default.
- W4288311935 created "2022-07-28" @default.
- W4288311935 creator A5001017767 @default.
- W4288311935 creator A5013258471 @default.
- W4288311935 creator A5050445437 @default.
- W4288311935 creator A5057201507 @default.
- W4288311935 creator A5088639385 @default.
- W4288311935 date "2019-06-25" @default.
- W4288311935 modified "2023-09-27" @default.
- W4288311935 title "Spatial 3D Mat'ern priors for fast whole-brain fMRI analysis" @default.
- W4288311935 doi "https://doi.org/10.48550/arxiv.1906.10591" @default.
- W4288311935 hasPublicationYear "2019" @default.
- W4288311935 type Work @default.
- W4288311935 citedByCount "0" @default.
- W4288311935 crossrefType "posted-content" @default.
- W4288311935 hasAuthorship W4288311935A5001017767 @default.
- W4288311935 hasAuthorship W4288311935A5013258471 @default.
- W4288311935 hasAuthorship W4288311935A5050445437 @default.
- W4288311935 hasAuthorship W4288311935A5057201507 @default.
- W4288311935 hasAuthorship W4288311935A5088639385 @default.
- W4288311935 hasBestOaLocation W42883119351 @default.
- W4288311935 hasConcept C107673813 @default.
- W4288311935 hasConcept C119857082 @default.
- W4288311935 hasConcept C153180895 @default.
- W4288311935 hasConcept C154945302 @default.
- W4288311935 hasConcept C15744967 @default.
- W4288311935 hasConcept C160234255 @default.
- W4288311935 hasConcept C169760540 @default.
- W4288311935 hasConcept C177769412 @default.
- W4288311935 hasConcept C207201462 @default.
- W4288311935 hasConcept C2776214188 @default.
- W4288311935 hasConcept C2779226451 @default.
- W4288311935 hasConcept C31972630 @default.
- W4288311935 hasConcept C33923547 @default.
- W4288311935 hasConcept C3770464 @default.
- W4288311935 hasConcept C41008148 @default.
- W4288311935 hasConcept C8642999 @default.
- W4288311935 hasConceptScore W4288311935C107673813 @default.
- W4288311935 hasConceptScore W4288311935C119857082 @default.
- W4288311935 hasConceptScore W4288311935C153180895 @default.
- W4288311935 hasConceptScore W4288311935C154945302 @default.
- W4288311935 hasConceptScore W4288311935C15744967 @default.
- W4288311935 hasConceptScore W4288311935C160234255 @default.
- W4288311935 hasConceptScore W4288311935C169760540 @default.
- W4288311935 hasConceptScore W4288311935C177769412 @default.
- W4288311935 hasConceptScore W4288311935C207201462 @default.
- W4288311935 hasConceptScore W4288311935C2776214188 @default.
- W4288311935 hasConceptScore W4288311935C2779226451 @default.
- W4288311935 hasConceptScore W4288311935C31972630 @default.
- W4288311935 hasConceptScore W4288311935C33923547 @default.
- W4288311935 hasConceptScore W4288311935C3770464 @default.
- W4288311935 hasConceptScore W4288311935C41008148 @default.
- W4288311935 hasConceptScore W4288311935C8642999 @default.
- W4288311935 hasLocation W42883119351 @default.
- W4288311935 hasLocation W42883119352 @default.
- W4288311935 hasLocation W42883119353 @default.
- W4288311935 hasOpenAccess W4288311935 @default.
- W4288311935 hasPrimaryLocation W42883119351 @default.
- W4288311935 hasRelatedWork W1522804744 @default.
- W4288311935 hasRelatedWork W1529069387 @default.
- W4288311935 hasRelatedWork W2133205540 @default.
- W4288311935 hasRelatedWork W2511279186 @default.
- W4288311935 hasRelatedWork W2977918235 @default.
- W4288311935 hasRelatedWork W3001003127 @default.
- W4288311935 hasRelatedWork W3023718912 @default.
- W4288311935 hasRelatedWork W3160546271 @default.
- W4288311935 hasRelatedWork W4297744796 @default.
- W4288311935 hasRelatedWork W4327954653 @default.
- W4288311935 isParatext "false" @default.
- W4288311935 isRetracted "false" @default.
- W4288311935 workType "article" @default.