Data for: Fully synthetic neuroimaging data for replication and exploration.

The fully synthetic neuroimaging dataset generated for analysis of fully synthetic data in the current study are available as Research Data from Mendeley Data. Ten fully synthetic datasets are included, with synthetic gray matter images (nifti files) that were generated based on simulated participant data (text files). The file Synthetic_predictors.tar.gz contains ten fully synthetic predictor tables with information for 264 simulated subjects. Due to large file sizes, a separate archive was created for each set of synthetic gray matter image data: RBS001.tar.gz, …, RBS010.tar.gz. Regression analyses were performed for each synthetic dataset, then average statistic maps were made for each contrast, which were then smoothed (see accompanying paper for additional information).

The supplementary materials also include commented MATLAB and R code to implement the current neuroimaging data synthesis methods (SKexample.zip). The example data were selected from an earlier fMRI study (Kuchinsky et al., 2012) to demonstrate that the current approach can be used with other types of neuroimaging data. The example code can also be adapted to produce fully synthetic group-level datasets based on observed neuroimaging data from other sources. The zip archive includes a document with important information for performing the example analyses, and details that should be communicated with recipients of a synthetic neuroimaging dataset.

Kuchinsky, S.E., Vaden, K.I., Keren, N.I., Harris, K.C., Ahlstrom, J.B., Dubno, J.R., Eckert, M.A., 2012. Word intelligibility and age predict visual cortex activity during word listening. Cerebral Cortex 22, 1360–71. https://doi.org/10.1093/cercor/bhr211

本研究中用于分析完全合成数据的完全合成神经影像学数据集已作为研究数据由Mendeley Data提供。包含十个完全合成的数据集，其中合成灰质图像（nifti文件）基于模拟参与者数据（文本文件）生成。文件Synthetic_predictors.tar.gz包含十个完全合成的预测表，其中包含264个模拟受试者的信息。由于文件体积较大，为每套合成灰质图像数据创建了单独的存档：RBS001.tar.gz，…，RBS010.tar.gz。对每个合成数据集进行了回归分析，然后为每个对比度创建了平均统计图，随后对这些统计图进行了平滑处理（详见随附论文以获取更多信息）。补充材料还包括注释过的MATLAB和R代码，以实现当前神经影像学数据合成方法（SKexample.zip）。示例数据选自早期fMRI研究（Kuchinsky等，2012），以证明当前方法可以用于其他类型的神经影像学数据。示例代码也可进行适配，以基于其他来源观察到的神经影像学数据生成完全合成的组级数据集。zip存档包括一份包含进行示例分析的重要信息的文档，以及应与合成神经影像学数据集的接收者沟通的详细内容。Kuchinsky, S.E., Vaden, K.I., Keren, N.I., Harris, K.C., Ahlstrom, J.B., Dubno, J.R., Eckert, M.A., 2012. Word intelligibility and age predict visual cortex activity during word listening. Cerebral Cortex 22, 1360–71. https://doi.org/10.1093/cercor/bhr211