Diffusion tensor imaging reveals evolution of primate brain architectures.

Diffusion tensor imaging reveals evolution of primate brain architectures.
复制标题

扩散张量成像揭示灵长类动物大脑结构的进化

DOI:
10.1007/s00429-012-0468-4
复制
发表时间:
2013-11
影响因子:
3.1
通讯作者:
Liu, Tianming
Liu, Tianming
中科院分区:
医学3区
文献类型:
--
作者:
Zhang, Degang;Guo, Lei;Zhu, Dajiang;Li, Kaiming;Li, Longchuan;Chen, Hanbo;Zhao, Qun;Hu, Xiaoping;Liu, Tianming

文献摘要

参考文献

被引文献

相似文献

几个世纪以来,大脑的进化一直是一个有趣的问题。最近的研究表明,神经影像学是研究大脑进化的一种强有力的技术。特别是,各种报告已经证明,一致的白色物质纤维连接模式来自扩散张量成像(DTI)纤维束成像揭示了共同的大脑结构,并预测大脑功能。基于我们最近在人脑DTI数据集中发现的358个由一致的纤维连接模式定义的致密个体化和共同的基于连接性的皮层界标(DICCCOL),我们推导出65个在猕猴、黑猩猩和人脑中常见的DICCCOL和175个在这三种灵长类动物中表现出显著差异的DICCCOL。定性和定量评价不仅证明了这65个常见的DICCCOL在三种灵长类动物中的解剖位置和结构纤维连接模式的多样性,表明进化上保存的共同脑结构,而且还揭示了这175个不一致的DICCCOL在三个物种中进化诱导的复杂性和变异性的区域模式。
Evolution of the brain has been an inherently interesting problem for centuries. Recent studies have indicated that neuroimaging is a powerful technique for studying brain evolution. In particular, a variety of reports have demonstrated that consistent white matter fiber connection patterns derived from diffusion tensor imaging (DTI) tractography reveal common brain architecture and are predictive of brain functions. In this paper, based on our recently discovered 358 dense individualized and common connectivity-based cortical landmarks (DICCCOL) defined by consistent fiber connection patterns in DTI datasets of human brains, we derived 65 DICCCOLs that are common in macaque monkey, chimpanzee and human brains and 175 DICCCOLs that exhibit significant discrepancies amongst these three primate species. Qualitative and quantitative evaluations not only demonstrated the consistencies of anatomical locations and structural fiber connection patterns of these 65 common DICCCOLs across three primates, suggesting an evolutionarily preserved common brain architecture but also revealed regional patterns of evolutionarily induced complexity and variability of those 175 discrepant DICCCOLs across the three species.
大脑网络的可视化分析
DOI: 10.1016/j.neuroimage.2012.02.075
发表时间: 2012-05-15
期刊: NEUROIMAGE
影响因子: 5.7
作者:
Li, Kaiming;Guo, Lei;Faraco, Carlos;Zhu, Dajiang;Chen, Hanbo;Yuan, Yixuan;Lv, Jinglei;Deng, Fan;Jiang, Xi;Zhang, Tuo;Hu, Xintao;Zhang, Degang;Miller, L. Stephen;Liu, Tianming
通讯作者: Liu, Tianming
DOI: 10.1016/j.jalz.2009.07.003
发表时间: 2010-07
期刊: Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子: --
作者:
Dennis NA;Browndyke JN;Stokes J;Need A;Burke JR;Welsh-Bohmer KA;Cabeza R
通讯作者: Cabeza R
DOI: 10.1111/j.1749-6632.2009.04421.x
发表时间: 2009-03
影响因子: 5.2
作者:
Krubitzer L
通讯作者: Krubitzer L
DOI: 10.1007/s11682-011-9123-6
发表时间: 2011-09
影响因子: 3.2
作者:
Liu, Tianming
通讯作者: Liu, Tianming
DOI: 10.1159/000151474
发表时间: 2008-01-01
影响因子: 1.7
作者:
Pollen, Alexander A.;Hofmann, Hans A.
通讯作者: Hofmann, Hans A.