Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction
Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction
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DOI：
10.1016/j.media.2016.01.003
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发表时间：
2016-05-01
影响因子：
10.9
通讯作者：
Riviere, Denis
中科院分区：
文献类型：
--
作者：
Lefranc, Sandrine;Roca, Pauline;Riviere, Denis
根据结构连通性标准将人类大脑皮层划分为不同的区域在神经科学中引起了广泛的兴趣。本文提出了一个基于GroupWise连接性的整体皮质表面分割框架，该框架使用了79个健康受试者的新的高质量扩散数据集。我们的方法是一个接一个地处理脑回，以分割整个人类大脑皮层。该方法的主要创新之处在于，在没有任何解剖先验信息的情况下，为每个脑回压缩用于聚类的连通性轮廓。这一步骤考虑了个体间皮质和连接性的可变性。为此，我们考虑了使用基于曲面的分水岭算法提取的主体间高密度连通区。广泛的验证研究导致了一条全自动管道，该管道对数据预处理(跟踪类型、大脑皮层网格特征和初始回的边界)、数据特征(包括受试者数量)和主要算法参数的变化具有健壮性。在整个皮质的分割结果中实现了显著的重复性，导致了清晰和稳定的皮质图案。这种重复性已经在不重叠的亚组中进行了测试，验证主要出现在中央前回和中央后回上。(C)2016年提交人。爱思唯尔出版公司(Elsevier B.V.)
Segregating the human cortex into distinct areas based on structural connectivity criteria is of widespread interest in neuroscience. This paper presents a groupwise connectivity-based parcellation framework for the whole cortical surface using a new high quality diffusion dataset of 79 healthy subjects. Our approach performs gyrus by gyrus to parcellate the whole human cortex. The main originality of the method is to compress for each gyrus the connectivity profiles used for the clustering without any anatomical prior information. This step takes into account the interindividual cortical and connectivity variability. To this end, we consider intersubject high density connectivity areas extracted using a surface-based watershed algorithm. A wide validation study has led to a fully automatic pipeline which is robust to variations in data preprocessing (tracking type, cortical mesh characteristics and boundaries of initial gyri), data characteristics (including number of subjects), and the main algorithmic parameters. A remarkable reproducibility is achieved in parcellation results for the whole cortex, leading to clear and stable cortical patterns. This reproducibility has been tested across non-overlapping subgroups and the validation is presented mainly on the pre- and postcentral gyri. (C) 2016 The Authors. Published by Elsevier B.V.