Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Neuroscience Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.
Neuroimage. 2020 Oct 15;220:117094. doi: 10.1016/j.neuroimage.2020.117094. Epub 2020 Jun 28.
Rodent models are essential to translational research in health and disease. Investigation in rodent brain function and organization at the systems level using resting-state functional magnetic resonance imaging (rsfMRI) has become increasingly popular. Due to this rapid progress, publicly shared rodent rsfMRI databases can be of particular interest and importance to the scientific community, as inspired by human neuroscience and psychiatric research that are substantially facilitated by open human neuroimaging datasets. However, such databases in rats are still rare. In this paper, we share an open rsfMRI database acquired in 90 rats with a well-established awake imaging paradigm that avoids anesthesia interference. Both raw and preprocessed data are made publicly available. Procedures in data preprocessing to remove artefacts induced by the scanner, head motion and non-neural physiological noise are described in details. We also showcase inter-regional functional connectivity and functional networks obtained from the database.
啮齿动物模型对于健康和疾病的转化研究至关重要。使用静息态功能磁共振成像（rsfMRI）研究啮齿动物大脑功能和系统水平的组织已变得越来越流行。由于这一快速发展，受人类神经科学和精神病学研究的启发，公开共享的啮齿动物 rsfMRI 数据库可能对科学界特别感兴趣和重要，这些研究得益于开放的人类神经影像学数据集。然而，在大鼠中，这样的数据库仍然很少。在本文中，我们分享了一个使用经过充分验证的清醒成像范式获得的公开 rsfMRI 数据库，该范式避免了麻醉干扰。原始数据和预处理数据都可供公开使用。详细描述了数据预处理过程中去除由扫描仪、头部运动和非神经生理噪声引起的伪影的步骤。我们还展示了从数据库中获得的区域间功能连接和功能网络。
