美国明尼苏达大学Robert J. M. Hermosillo等研究人员绘制出个性化网络拓扑和概率的精确功能图谱。该研究于2024年3月26日在线发表于国际一流学术期刊《自然—神经科学》。

研究人员表示，虽然不同个体的功能神经网络的大致位置相似，但人与人之间的地形差异很大。

为了捕捉这一点，研究人员采用精确脑图谱功能磁共振成像方法，建立了一套开源、方法灵活的精确功能网络图谱——梅森脑发育研究所（Masonic Institute for the Developing Brain，MIDB）精确脑图谱。该图谱是一个不断发展的资源，包含53273个特定个体的网络图，这些网络图来自不同年龄段和队列的9900多名个体，包括青少年大脑认知发育研究、发育人类连接组项目和其他项目。

研究人员还生成了跨越多个年龄和整合区的概率网络图（通过使用一种新的重叠绘图技术——重叠多网络成像）。与基于组平均值的分区相比，使用高网络不变性区域提高了全脑关联中执行功能统计图的可重复性。最后，研究人员提供了概率图谱在定向神经调控中的潜在应用案例。该图谱可通过在线界面扩展到其他数据集，鼓励科学界进行探索，为更精确地了解人脑功能做出贡献。

附：英文原文

Title: A precision functional atlas of personalized network topography and probabilities

Author: Hermosillo, Robert J. M., Moore, Lucille A., Feczko, Eric, Miranda-Domnguez, scar, Pines, Adam, Dworetsky, Ally, Conan, Gregory, Mooney, Michael A., Randolph, Anita, Graham, Alice, Adeyemo, Babatunde, Earl, Eric, Perrone, Anders, Carrasco, Cristian Morales, Uriarte-Lopez, Johnny, Snider, Kathy, Doyle, Olivia, Cordova, Michaela, Koirala, Sanju, Grimsrud, Gracie J., Byington, Nora, Nelson, Steven M., Gratton, Caterina, Petersen, Steven, Feldstein Ewing, Sarah W., Nagel, Bonnie J., Dosenbach, Nico U. F., Satterthwaite, Theodore D., Fair, Damien A.

Issue&Volume: 2024-03-26

Abstract: Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases—the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely.

DOI: 10.1038/s41593-024-01596-5

Source: https://www.nature.com/articles/s41593-024-01596-5