ArticleWiley interdisciplinary reviews. Computational statistics
Bayesian Models for fMRI Data Analysis.
Article in Wiley interdisciplinary reviews. Computational statistics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Extracting Weight of Evidence fromBrain sciences · 2026Article
- Scalable and Adaptive Spatiotemporal Modeling for Task-Based fMRI Analysis.bioRxiv : the preprint server for biology · 2025Article
- Takens-Based Kernel Transfer Entropy Connectivity Network for Motor Imagery Classification.Sensors (Basel, Switzerland) · 2025Article
- Applications of Machine Learning-Driven Molecular Models for Advancing Ophthalmic Precision Medicine.Bioengineering (Basel, Switzerland) · 2025Review
- Population-level task-evoked functional connectivity via Fourier analysis.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024Article
- Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing.Statistics in medicine · 2024Article
- Article
- Bayesian tensor-on-tensor regression with efficient computation.Statistics and its interface · 2024Article
- Estimation of fMRI responses related to epileptic discharges using Bayesian hierarchical modeling.Human brain mapping · 2023Article
- Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups.NeuroImage · 2022Article
- Effective connectivity in the default mode network after paediatric traumatic brain injury.The European journal of neuroscience · 2022Article
- Joint Bayesian Estimation of Voxel Activation and Inter-regional Connectivity in fMRI Experiments.Psychometrika · 2020Article
- Fighting or embracing multiplicity in neuroimaging? neighborhood leverage versus global calibration.NeuroImage · 2020Article
- Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications.BMJ open ophthalmology · 2020Review
- Bayesian framework for robust seed-based correlation analysis.Medical physics · 2019Article
- Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data.Journal of the American Statistical Association · 2018Article
- A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data.Brain connectivity · 2017Article
- [Functional brain imaging].Der Radiologe · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Functional magnetic resonance imaging (fMRI), a noninvasive neuroimaging method that provides an indirect measure of neuronal activity by detecting blood flow changes, has experienced an explosive growth in the past years. Statistical methods play a crucial role in understanding and analyzing fMRI data. Bayesian approaches, in particular, have shown great promise in applications. A remarkable feature of fully Bayesian approaches is that they allow a flexible modeling of spatial and temporal correlations in the data. This paper provides a review of the most relevant models developed in recent years. We divide methods according to the objective of the analysis. We start from spatio-temporal models for fMRI data that detect task-related activation patterns. We then address the very important problem of estimating brain connectivity. We also touch upon methods that focus on making predictions of an individual's brain activity or a clinical or behavioral response. We conclude with a discussion of recent integrative models that aim at combining fMRI data with other imaging modalities, such as EEG/MEG and DTI data, measured on the same subjects. We also briefly discuss the emerging field of imaging genetics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.