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A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data

arXiv (Cornell University)(2024)10.48550/arxiv.2401.06348Source: DataRank Database

A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (3 grants)OA: greenTopics (31)IDs (PubMed, OpenAlex)

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Authors (4)

Daniel B. Rowe ORCID,Xinyi Li ORCID,D. Andrew Brown ORCID,Zhengxin Wang ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4390897528

National Institutes of Health

Grant: 3P20GM139769-04S1

COBRE in Human Genetics

National Science Foundation

Grant: 2210686

Exploring and Solidifying Functional Calibration of Computer Models

National Science Foundation

Grant: 2210658

Collaborative Research: Semiparametric and Reinforcement Learning for Precision Medicine

greenLicense: cc-by-nc-nd

repositoryhttps://arxiv.org/pdf/2401.06348

repositoryhttp://arxiv.org/abs/2401.06348

repositoryhttps://doi.org/10.48550/arxiv.2401.06348

https://doi.org/10.1016/j.mri.2024.03.029

https://dx.doi.org/10.48550/arxiv.2401.06348

Fields of Study

Fractal and DNA sequence analysisFunctional Brain Connectivity StudiesGaussian Processes and Bayesian InferenceMethodology (stat.ME)Applications (stat.AP)FOS: Computer and information sciences01 natural sciences03 medical and health sciences0302 clinical medicine0101 mathematics

Keywords

Functional magnetic resonance imagingComputer scienceBayesian probabilityNeuroimagingArtificial intelligenceMagnitude (astronomy)Pattern recognition (psychology)Machine learningNeurosciencePsychologyPhysicsFOS: Computer and information sciencesBrain MappingBrainBayes TheoremStatistics - ApplicationsMagnetic Resonance ImagingMethodology (stat.ME)Computer SimulationApplications (stat.AP)Statistics - Methodology