BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks
Authors
Keywords
-
Journal
NEUROINFORMATICS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-06-05
DOI
10.1007/s12021-020-09472-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Graph theory analysis of DTI tractography in children with traumatic injury
- (2019) Christopher G. Watson et al. NeuroImage-Clinical
- Post-Traumatic Stress Symptoms after Pediatric Injury: Relation to Pre-Frontal Limbic Circuitry
- (2019) Linda Ewing-Cobbs et al. JOURNAL OF NEUROTRAUMA
- Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge
- (2018) Ixavier A. Higgins et al. NEUROIMAGE
- Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity
- (2018) Sharon Chiang et al. PLoS One
- A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
- (2017) Ryan Warnick et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Variational Inference: A Review for Statisticians
- (2017) David M. Blei et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data
- (2016) Linlin Zhang et al. Annals of Applied Statistics
- Bayesian vector autoregressive model for multi-subject effective connectivity inference using multi-modal neuroimaging data
- (2016) Sharon Chiang et al. HUMAN BRAIN MAPPING
- Longitudinal diffusion tensor imaging after pediatric traumatic brain injury: Impact of age at injury and time since injury on pathway integrity
- (2016) Linda Ewing-Cobbs et al. HUMAN BRAIN MAPPING
- Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach
- (2016) Zhe Yu et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
- (2016) Jesper L.R. Andersson et al. NEUROIMAGE
- Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques
- (2016) Mark S. Graham et al. NEUROIMAGE
- Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
- (2016) Jesper L. R Andersson et al. NEUROIMAGE
- Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling
- (2016) Srikanth Ryali et al. PLoS Computational Biology
- Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes
- (2015) Jesper L.R. Andersson et al. NEUROIMAGE
- circlize implements and enhances circular visualization in R
- (2014) Zuguang Gu et al. BIOINFORMATICS
- The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
- (2014) Vince D. Calhoun et al. NEURON
- Maximizing Negative Correlations in Resting-State Functional Connectivity MRI by Time-Lag
- (2014) Gadi Goelman et al. PLoS One
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- (2013) Nicholas G. Polson et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Is Granger Causality a Viable Technique for Analyzing fMRI Data?
- (2013) Xiaotong Wen et al. PLoS One
- Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity
- (2013) Cristina Gorrostieta et al. Frontiers in Computational Neuroscience
- Diffusion tensor imaging in moderate-to-severe pediatric traumatic brain injury: changes within an 18 month post-injury interval
- (2012) Elisabeth A. Wilde et al. Brain Imaging and Behavior
- Investigating brain connectivity using mixed effects vector autoregressive models
- (2011) Cristina Gorrostieta et al. NEUROIMAGE
- Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
- (2010) James G. Scott et al. ANNALS OF STATISTICS
- Emerging concepts for the dynamical organization of resting-state activity in the brain
- (2010) Gustavo Deco et al. NATURE REVIEWS NEUROSCIENCE
- Time–frequency dynamics of resting-state brain connectivity measured with fMRI
- (2009) Catie Chang et al. NEUROIMAGE
- Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
- (2008) M. D. Greicius et al. CEREBRAL CORTEX
- Multivariate Granger causality analysis of fMRI data
- (2008) Gopikrishna Deshpande et al. HUMAN BRAIN MAPPING
- Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods
- (2008) Junning Li et al. NEUROIMAGE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started