Characterization of U-shape streamline fibers: Methods and applications.

Characterization of U-shape streamline fibers: Methods and applications.
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U型流线型纤维的表征:方法与应用

DOI:
10.1016/j.media.2014.04.005
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发表时间:
2014-07
影响因子:
10.9
通讯作者:
Liu, Tianming
Liu, Tianming
中科院分区:
工程技术1区
文献类型:
--
作者:
Zhang, Tuo;Chen, Hanbo;Guo, Lei;Li, Kaiming;Li, Longchuan;Zhang, Shu;Shen, Dinggang;Hu, Xiaoping;Liu, Tianming

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扩散张量成像(DTI)、高角分辨率扩散成像(HARDI)和扩散谱成像(DSI)已被广泛应用于神经成像领域,以研究大脑皮质宏观尺度的纤维连接模式。然而,扩散成像获得的流线型纤维连接模式和皮质折叠模式之间的地形和几何关系在很大程度上仍不清楚。本文通过一种新的纤维簇框架来具体识别和表征扩散成像衍生的流线纤维的U型形状,并基于人、黑猩猩和猕猴脑的DTI、HARDI和DSI数据集,检验它们与皮质沟的共定位模式。我们通过绕过中央沟、中央前沟、中央后沟、颞上沟、额下沟和顶内沟等皮质沟证实了这些连接相邻脑回的U型流线型纤维的存在。这项研究还证实了U形纤维在数据模式(DTI/HARDI/DSI)和灵长类物种(猕猴、黑猩猩和人类)中的存在,并表明U形纤维在脑沟周围的常见模式在大脑皮层结构中进化地保留了下来。
Diffusion tensor imaging (DTI), high angular resolution diffusion imaging (HARDI), and Diffusion Spectrum Imaging (DSI) have been widely used in the neuroimaging field to examine the macro-scale fiber connection patterns in the cerebral cortex. However, the topographic and geometric relationships between diffusion imaging derived streamline fiber connection patterns and cortical folding patterns remain largely unknown. This paper specifically identifies and characterizes the U-shapes of diffusion imaging derived streamline fibers via a novel fiber clustering framework and examines their co-localization patterns with cortical sulci based on DTI, HARDI, and DSI datasets of human, chimpanzee and macaque brains. We verified the presence of these U-shaped streamline fibers that connect neighboring gyri by coursing around cortical sulci such as the central sulcus, pre-central sulcus, post-central sulcus, superior temporal sulcus, inferior frontal sulcus, and intra-parietal sulcus. This study also verified the existence of U-shape fibers across data modalities (DTI/HARDI/DSI) and primate species (macaque, chimpanzee and human), and suggests that the common pattern of U-shape fibers coursing around sulci is evolutionarily-preserved in cortical architectures.
DOI: 10.1089/brain.2011.0033
发表时间: 2011
期刊: Brain connectivity
影响因子: 3.4
作者:
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