ArticleNeuroImage2012
SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separability.
Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.
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Who cites it
107 citing papers in PubMed.
- Concurrent Supervised-Unsupervised Representative Subspace Clustering (CSU-RSC).bioRxiv : the preprint server for biology · 2026Article
- Distinguishing task-evoked dynamic brain networks from intrinsic activity with tensor component analysis.Brain imaging and behavior · 2026Article
- Structured dissociative PCA methods for high dimensional neuroimaging signal decomposition.Scientific reports · 2026Article
- Scanning the Horizon of Replicability in Neuroscience: A Recipe of Developing Replicable Deep Models for Functional Neuroimages.IEEE transactions on bio-medical engineering · 2026Article
- Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis.IEEE journal of biomedical and health informatics · 2026Article
- aNy-way ICA and its application to estimate cortico-thalamo-cerebellar functional links in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Simultaneously capturing excessive variations and smooth dynamics of the underlying neural activity using spatiotemporal basis expansion and multisubject fMRI data.Scientific reports · 2025Article
- Time-Varying Spatial Propagation of Brain Networks in fMRI Data.Human brain mapping · 2025Article
- Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2025Article
- SNAKE: A modular realistic fMRI data simulator from the space-time domain to k-space and back.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Nonlinear kernel-based fMRI activation detection.Frontiers in neuroimaging · 2025Article
- Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks.Scientific reports · 2024Article
- SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks.Neuroscience bulletin · 2024Article
- Estimation of static and dynamic functional connectivity in resting-state fMRI using zero-frequency resonator.Human brain mapping · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure-function relationship.Cognitive neurodynamics · 2024Article
- Hierarchical Principal Components for Data-Driven Multiresolution fMRI Analyses.Brain sciences · 2024Article
- Characterizing Spatiotemporal Population Receptive Fields in Human Visual Cortex with fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- A predictor-informed multi-subject bayesian approach for dynamic functional connectivity.PloS one · 2024Article
- Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process.Journal of the American Statistical Association · 2024Article
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We introduce SimTB, a MATLAB toolbox designed to simulate functional magnetic resonance imaging (fMRI) datasets under a model of spatiotemporal separability. The toolbox meets the increasing need of the fMRI community to more comprehensively understand the effects of complex processing strategies by providing a ground truth that estimation methods may be compared against. SimTB captures the fundamental structure of real data, but data generation is fully parameterized and fully controlled by the user, allowing for accurate and precise comparisons. The toolbox offers a wealth of options regarding the number and configuration of spatial sources, implementation of experimental paradigms, inclusion of tissue-specific properties, addition of noise and head movement, and much more. A straightforward data generation method and short computation time (3-10 seconds for each dataset) allow a practitioner to simulate and analyze many datasets to potentially understand a problem from many angles. Beginning MATLAB users can use the SimTB graphical user interface (GUI) to design and execute simulations while experienced users can write batch scripts to automate and customize this process. The toolbox is freely available at http://mialab.mrn.org/software together with sample scripts and tutorials.
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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.