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用于啮齿动物 fMRI 的标准化图像处理和数据质量平台。

A standardized image processing and data quality platform for rodent fMRI.

机构信息

Computational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, QC, Canada.

Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.

出版信息

Nat Commun. 2024 Aug 7;15(1):6708. doi: 10.1038/s41467-024-50826-8.

Abstract

Functional magnetic resonance imaging in rodents holds great potential for advancing our understanding of brain networks. Unlike the human community, there remains no standardized resource in rodents for image processing, analysis and quality control, posing significant reproducibility limitations. Our software platform, Rodent Automated Bold Improvement of EPI Sequences, is a pipeline designed to address these limitations for preprocessing, quality control, and confound correction, along with best practices for reproducibility and transparency. We demonstrate the robustness of the preprocessing workflow by validating performance across multiple acquisition sites and both mouse and rat data. Building upon a thorough investigation into data quality metrics across acquisition sites, we introduce guidelines for the quality control of network analysis and offer recommendations for addressing issues. Taken together, this software platform will allow the emerging community to adopt reproducible practices and foster progress in translational neuroscience.

摘要

啮齿类动物功能磁共振成像在推进我们对大脑网络的理解方面具有巨大潜力。与人类社区不同,啮齿动物中仍然没有用于图像处理、分析和质量控制的标准化资源,这给可重复性带来了重大限制。我们的软件平台,啮齿动物自动 Bold 改进 EPI 序列,是一个旨在解决预处理、质量控制和混淆校正以及可重复性和透明度的最佳实践的管道。我们通过在多个采集站点以及小鼠和大鼠数据上验证性能来证明预处理工作流程的稳健性。在对采集站点的数据质量指标进行深入调查的基础上,我们提出了网络分析质量控制的指南,并为解决问题提供了建议。总之,这个软件平台将允许新兴社区采用可重复的实践,并促进转化神经科学的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f07c/11306392/b76dcd419459/41467_2024_50826_Fig1_HTML.jpg

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