An open database of resting-state fMRI in awake rats
Yikang Liu,
Pablo D. Perez,
Zilu Ma,
Zhiwei Ma,
David Dopfel,
Samuel Cramer,
Wenyu Tu,
Nanyin Zhang
Affiliations
Yikang Liu
Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
Pablo D. Perez
Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
Zilu Ma
Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
Zhiwei Ma
Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
David Dopfel
Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
Samuel Cramer
Neuroscience Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
Wenyu Tu
Neuroscience Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
Nanyin Zhang
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; Corresponding author. Professor of Biomedical Engineering and Electrical Engineering, Lloyd & Dorothy Foehr Huck Chair in Brain Imaging, The Huck Institutes of Life Sciences, The Pennsylvania State University, W-341 Millennium Science Complex, University Park, PA, 16802, USA.
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.
