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DICCCOL:基于密集个体化和共同连通性的皮质标志点。

DICCCOL: dense individualized and common connectivity-based cortical landmarks.

机构信息

Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30602, USA.

出版信息

Cereb Cortex. 2013 Apr;23(4):786-800. doi: 10.1093/cercor/bhs072. Epub 2012 Apr 5.

DOI:10.1093/cercor/bhs072
PMID:22490548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3593574/
Abstract

Is there a common structural and functional cortical architecture that can be quantitatively encoded and precisely reproduced across individuals and populations? This question is still largely unanswered due to the vast complexity, variability, and nonlinearity of the cerebral cortex. Here, we hypothesize that the common cortical architecture can be effectively represented by group-wise consistent structural fiber connections and take a novel data-driven approach to explore the cortical architecture. We report a dense and consistent map of 358 cortical landmarks, named Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs). Each DICCCOL is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. Our results have shown that these 358 landmarks are remarkably reproducible over more than one hundred human brains and possess accurate intrinsically established structural and functional cross-subject correspondences validated by large-scale functional magnetic resonance imaging data. In particular, these 358 cortical landmarks can be accurately and efficiently predicted in a new single brain with DTI data. Thus, this set of 358 DICCCOL landmarks comprehensively encodes the common structural and functional cortical architectures, providing opportunities for many applications in brain science including mapping human brain connectomes, as demonstrated in this work.

摘要

是否存在一种可以在个体和人群中进行定量编码和精确再现的通用结构和功能皮质架构?由于大脑皮质的复杂性、可变性和非线性,这个问题在很大程度上仍然没有得到解答。在这里,我们假设共同的皮质结构可以通过群组一致的结构纤维连接有效地表示,并采取一种新颖的基于数据驱动的方法来探索皮质结构。我们报告了一个密集且一致的 358 个皮质地标图谱,称为基于群组一致的结构纤维连接的密集个体化和通用皮质地标(DICCCOL)。每个 DICCCOL 都由从弥散张量成像(DTI)数据中得出的群组一致的白质纤维连接模式定义。我们的结果表明,这些 358 个地标在一百多个人类大脑中具有惊人的可重复性,并且具有准确的内在建立的结构和功能跨个体对应关系,这些关系通过大规模功能磁共振成像数据得到验证。特别是,这些 358 个皮质地标可以通过 DTI 数据在新的单个大脑中准确且高效地进行预测。因此,这组 358 个 DICCCOL 地标全面编码了通用的结构和功能皮质架构,为许多脑科学应用提供了机会,包括在本工作中展示的人类脑连接组映射。

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本文引用的文献

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