Nettekoven Caroline, Zhi Da, Shahshahani Ladan, Pinho Ana Luísa, Saadon-Grosman Noam, Buckner Randy Lee, Diedrichsen Jörn
Western Institute for Neuroscience, Western University, London, Ontario, Canada.
Department of Computer Science, Western University, London, Ontario, Canada.
bioRxiv. 2024 Jun 1:2023.09.14.557689. doi: 10.1101/2023.09.14.557689.
The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present a functional atlas that integrates information from 7 large-scale datasets, outperforming existing group atlasses. The new atlas has three further advantages: First, the atlas allows for precision mapping in individuals: The integration of the probabilistic group atlas with an individual localizer scan results in a marked improvement in prediction of individual boundaries. Second, we provide both asymmetric and symmetric versions of the atlas. The symmetric version, which is obtained by constraining the boundaries to be the same across hemispheres, is especially useful in studying functional lateralization. Finally, the regions are hierarchically organized across 3 levels, allowing analyses at the appropriate level of granularity. Overall, the new atlas is an important resource for the study of the interdigitated functional organization of the human cerebellum in health and disease.
人类小脑会被各种各样的认知和运动任务激活。以往的功能图谱依赖于基于单一任务或静息态功能磁共振成像（fMRI）数据集。在此，我们展示了一个整合了来自7个大规模数据集信息的功能图谱，其性能优于现有的群体图谱。新图谱还有另外三个优点：第一，该图谱允许对个体进行精确映射：概率性群体图谱与个体定位扫描的整合显著提高了个体边界预测的准确性。第二，我们提供了图谱的不对称和对称版本。通过将边界约束为跨半球相同而获得的对称版本，在研究功能偏侧化方面特别有用。最后，这些区域在3个层次上进行分层组织，允许在适当的粒度水平上进行分析。总体而言，新图谱是研究健康和疾病状态下人类小脑相互交织的功能组织的重要资源。
