荷兰内梅亨大学Joanes Grandjean团队近期取得重要工作进展，他们研究提出了一个共识协议，用于老鼠大脑功能连接分析。相关研究成果2023年3月27日在线发表于《自然—神经科学》杂志上。
据了解，动物模型中的无任务功能连接提供了一个实验框架来检查受控条件下的连接现象，并允许与在侵入性或终端程序下收集的数据模式进行比较。目前，动物采集采用不同的方案和分析方法，阻碍了结果的比较和整合。
研究人员开发了StandardRat，这是一种在20个中心测试的一致性大鼠功能性磁共振成像采集协议。为了开发具有优化采集和处理参数的协议，研究人员最初聚集了从46个中心的大鼠身上采集的65个功能成像数据集。他们开发了一种可重复的系统，用于分析通过不同协议获得的大鼠数据，并确定了与跨中心功能连接的稳健检测相关的实验和处理参数。
总之，研究人员表明，相对于以前的采集，标准化协议增强了生物学上合理的功能连接模式。这里描述的协议和处理系统与神经成像社区公开共享，以促进互操作性和合作，应对神经科学中最重要的挑战。
附：英文原文
Title: A consensus protocol for functional connectivity analysis in the rat brain
Author: Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrire, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Clestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvokov, Lenka, Falfn-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibaez, Antonio, Garin, Clment, Gelderman, Eveline, Golden, Carla E. M., Guo, Chao C. G., Henckens, Marloes J. A. G., Hennessy, Lauren A., Herman, Peter, Hofwijks, Nita, Horien, Corey, Ionescu, Tudor M., Jones, Jolyon, Kaesser, Johannes, Kim, Eugene, Lambers, Henriette, Lazari, Alberto, Lee, Sung-Ho, Lillywhite, Amanda, Liu, Yikang, Liu, Yanyan Y., Lpez -Castro, Alejandra, Lpez-Gil, Xavier, Ma, Zilu, MacNicol, Eilidh, Madularu, Dan, Mandino, Francesca, Marciano, Sabina, McAuslan, Matthew J., McCunn, Patrick, McIntosh, Alison, Meng, Xianzong, Meyer-Baese, Lisa, Missault, Stephan, Moro, Federico, Naessens, Daphne M. P., Nava-Gomez, Laura J., Nonaka, Hiroi
Issue&Volume: 2023-03-27
Abstract: Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.
DOI: 10.1038/s41593-023-01286-8
Source: https://www.nature.com/articles/s41593-023-01286-8
Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex
本期文章：《自然—神经科学》：Online/在线发表
