个性化网络拓扑和概率的精准功能图谱
A precision functional atlas of personalized network topography and probabilities.
机构信息
Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
出版信息
Nat Neurosci. 2024 May;27(5):1000-1013. doi: 10.1038/s41593-024-01596-5. Epub 2024 Mar 26.
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.
尽管功能神经网络的大致位置在个体之间相似,但人与人之间的拓扑结构存在巨大的可变性。为了捕捉到这一点,我们实施了精确脑图谱功能磁共振成像方法,以建立一个开源、灵活的精确功能网络图谱集——共济会发育脑研究所(Mason Institute for the Developing Brain,MIDB)精确脑图谱。该图谱是一个不断发展的资源,包含了超过 9900 个人的 53273 个个体特定的网络图谱,涵盖了不同年龄和队列,包括青少年大脑认知发展研究、发展人类连接组计划等。我们还使用一种新的重叠映射技术(Overlapping MultiNetwork Imaging)生成了多个年龄和整合区域的概率网络图谱。使用具有高网络不变性的区域,与基于群体平均的分割相比,在大脑全脑关联中提高了执行功能统计映射的可重复性。最后,我们提供了一个针对概率映射的靶向神经调节的潜在应用案例。该图谱可以通过在线界面扩展到替代数据集,鼓励科学界更精确地探索和促进对人类大脑功能的理解。