期刊
NEUROIMAGE
卷 59, 期 4, 页码 4160-4167出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2011.11.088
关键词
Simulation; fMRI; Group analysis
资金
- NIH [1R01-EB006841, 1R01-EB005846, 2R01-EB000840, 1 P20 RR021938-01]
- DOE [DE-FG02-08ER64581]
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1017718] Funding Source: National Science Foundation
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [1116944, 1117056] Funding Source: National Science Foundation
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.mm.org/software together with sample scripts and tutorials. (C) 2011 Elsevier Inc. All rights reserved.
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