The Mind Research Network, Albuquerque, NM, USA.
Neuroimage. 2012 Feb 15;59(4):4160-7. doi: 10.1016/j.neuroimage.2011.11.088. Epub 2011 Dec 8.
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.
我们介绍了 SimTB，这是一个 MATLAB 工具箱，旨在模拟时空可分离模型下的功能磁共振成像（fMRI）数据集。该工具箱满足了 fMRI 社区越来越需要更全面地了解复杂处理策略的影响的需求，提供了一个可以与估计方法进行比较的基准。SimTB 捕捉到了真实数据的基本结构，但数据生成完全由用户参数化和控制，允许进行准确和精确的比较。该工具箱在空间源的数量和配置、实验范式的实现、组织特异性属性的包含、噪声和头部运动的添加等方面提供了丰富的选择。简单的数据生成方法和较短的计算时间（每个数据集 3-10 秒）允许从业者模拟和分析许多数据集，从而从多个角度潜在地理解一个问题。初学者可以使用 SimTB 图形用户界面（GUI）来设计和执行模拟，而有经验的用户可以编写批处理脚本来自动化和定制这个过程。该工具箱可在 http://mialab.mrn.org/software 上免费获得，同时还提供了示例脚本和教程。
