Vrooman Roël M, van den Berg Monica, Desrosiers-Gregoire Gabriel, van Engelenburg Wessel A, Galteau Marie E, Lee Sung-Ho, Veltien Andor, Barrière David A, Cash Diana, Chakravarty M Mallar, Devenyi Gabriel A, Gozzi Alessandro, Gröhn Olli, Hess Andreas, Homberg Judith R, Jelescu Ileana O, Keliris Georgios A, Scheenen Tom, Shih Yen-Yu Ian, Verhoye Marleen, Wary Claire, Zwiers Marcel, Grandjean Joanes
Donders Institute for Brain, Behaviour, and Cognition, Nijmegen, The Netherlands.
Bio-imaging lab, University of Antwerp, Antwerp, Belgium.
Nat Protoc. 2025 Jan 28. doi: 10.1038/s41596-024-01110-y.
Templates for the acquisition of large datasets such as the Human Connectome Project guide the neuroimaging community to reproducible data acquisition and scientific rigor. By contrast, small animal neuroimaging often relies on laboratory-specific protocols, which limit cross-study comparisons. The establishment of broadly validated protocols may facilitate the acquisition of large datasets, which are essential for uncovering potentially small effects often seen in functional MRI (fMRI) studies. Here, we outline a procedure for the acquisition of fMRI datasets in rats and describe animal handling, MRI sequence parameters, data conversion, preprocessing, quality control and data analysis. The procedure is designed to be generalizable across laboratories, has been validated by using datasets across 20 research centers with different scanners and field strengths ranging from 4.7 to 17.2 T and can be used in studies in which it is useful to compare functional connectivity measures across an extensive range of datasets. The MRI procedure requires 1 h per rat to complete and can be carried out by users with limited expertise in rat handling, MRI and data processing.
诸如人类连接体计划之类的大型数据集采集模板,引导神经成像学界实现可重复的数据采集并保证科学严谨性。相比之下,小动物神经成像通常依赖于特定实验室的方案,这限制了跨研究比较。广泛验证的方案的建立可能有助于大型数据集的采集,而大型数据集对于揭示功能磁共振成像(fMRI)研究中常见的潜在微小效应至关重要。在此,我们概述了一种大鼠fMRI数据集的采集程序,并描述了动物处理、MRI序列参数、数据转换、预处理、质量控制和数据分析。该程序旨在可在各实验室通用,已通过使用来自20个研究中心的数据集进行了验证,这些数据集使用了不同的扫描仪,场强范围从4.7到17.2 T,可用于在广泛的数据集范围内比较功能连接测量值的研究。MRI程序每只大鼠需要1小时完成,并且可由在大鼠处理、MRI和数据处理方面专业知识有限的用户进行操作。