Individualized Cortical Parcellation Based on Diffusion MRI Tractography

Individualized Cortical Parcellation Based on Diffusion MRI Tractography
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DOI:
10.1093/cercor/bhz303
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发表时间:
2020-05-01
期刊:
影响因子:
3.7
通讯作者:
Gao, Jia-Hong
Gao, Jia-Hong
中科院分区:
医学2区
文献类型:
--
作者:
Han, Meizhen;Yang, Guoyuan;Gao, Jia-Hong

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大脑皮层区域的空间拓扑特性在个体之间存在差异。基于个体连接性的功能和解剖学皮层映射将促进结构 - 功能关系的研究。然而,由解剖连接性得出的个体特异性皮层地形特性相较于基于功能连接性得出的特性,探索较少。我们旨在开发一种新的基于个体解剖连接性的脑区分割框架,并利用扩散磁共振成像(dMRI)纤维束成像技术研究大脑皮层区域空间地形特征的个体差异。利用一个高质量、多次扫描的dMRI数据集(42名受试者,每名受试者2次扫描),通过基于体内解剖连接性的脑区分割得出皮层脑区。这些个体特异性脑区在个体内部具有良好的重复性,并反映了大脑解剖组织结构的个体间差异。这些个体特异性脑区的连接性比基于群体图谱的连接性明显更均匀。我们发现这些解剖脑区的位置、大小和地形在个体之间高度可变,并显示出有关个体差异的非冗余信息。最后,我们发现解剖连接性的个体间差异与解剖连接模式的多样性相关。总体而言,我们确定了显示均匀解剖连接模式的皮层脑区。这些脑区在个体间表现出显著的空间变异性,可用于未来的功能研究,以揭示人脑中的结构 - 功能关系。
The spatial topological properties of cortical regions vary across individuals. Connectivity-based functional and anatomical cortical mapping in individuals will facilitate research on structure-function relationships. However, individual-specific cortical topographic properties derived from anatomical connectivity are less explored than those based on functional connectivity. We aimed to develop a novel individualized anatomical connectivity-based parcellation framework and investigate individual differences in spatial topographic features of cortical regions using diffusion magnetic resonance imaging (dMRI) tractography. Using a high-quality, repeated-session dMRI dataset (42 subjects, 2 sessions per subject), cortical parcels were derived through in vivo anatomical connectivity-based parcellation. These individual-specific parcels demonstrated good within-individual reproducibility and reflected interindividual differences in anatomical brain organization. Connectivity in these individual-specific parcels was significantly more homogeneous than that based on the group atlas. We found that the position, size, and topography of these anatomical parcels were highly variable across co individuals and demonstrated nonredundant information about individual differences. Finally, we found that intersubject variability in anatomical connectivity was correlated with the diversity of anatomical connectivity patterns. Overall, we identified cortical parcels that show homogeneous anatomical connectivity patterns. These parcels displayed marked intersubject spatial variability, which may be used in future functional studies to reveal structure-function relationships in the human brain.