A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
From MaRDI portal
Publication:4690935
DOI10.1080/01621459.2017.1379404zbMath1398.62350OpenAlexW2757072205WikidataQ92254295 ScholiaQ92254295MaRDI QIDQ4690935
Michele Guindani, Erik Barry Erhardt, Ryan Warnick, Marina Vannucci, Elena Allen, Vince D. Calhoun
Publication date: 23 October 2018
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc6405235
Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Biomedical imaging and signal processing (92C55) Graphical methods in statistics (62A09)
Related Items
Bayesian graphical models for modern biological applications ⋮ Scalable Bayesian matrix normal graphical models for brain functional networks ⋮ Network Structure Learning Under Uncertain Interventions ⋮ Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation ⋮ Detecting changes in correlation networks with application to functional connectivity of fMRI data ⋮ Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments ⋮ Dynamic and robust Bayesian graphical models
Uses Software
Cites Work
- Unnamed Item
- A focused information criterion for graphical models in fMRI connectivity with high-dimensional data
- A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data
- Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes
- Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data
- The statistical analysis of fMRI data
- The statistical analysis of functional MRI data
- Testing the significance of the \textit{RV} coefficient
- The geometry of correlation fields with an application to functional connectivity of the brain
- A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data
- Efficient Gaussian graphical model determination under \(G\)-Wishart prior distributions
- Classification of brain activation via spatial Bayesian variable selection in fMRI regression
- Experiments in stochastic computation for high-dimensional graphical models
- An Integrative Bayesian Modeling Approach to Imaging Genetics
- Handbook of Functional MRI Data Analysis
- Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data
- Hyper Inverse Wishart Distribution for Non-decomposable Graphs and its Application to Bayesian Inference for Gaussian Graphical Models
- Bayesian Methods for Hidden Markov Models
- Generalized Species Sampling Priors With Latent Beta Reinforcements
- Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics
- Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
- Bayesian Inference of Multiple Gaussian Graphical Models
- Detecting differential gene expression with a semiparametric hierarchical mixture method
