Diffusion tensor imaging reveals evolution of primate brain architectures

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• 作者：Degang Zhang (1) (2)
  Lei Guo (1)
  Dajiang Zhu (3)
  Kaiming Li (1) (3)
  Longchuan Li (4)
  Hanbo Chen (3)
  Qun Zhao (2)
  Xiaoping Hu (4)
  Tianming Liu (3)
  
• 关键词：Diffusion tensor imaging ; Brain evolution ; Brain architecture
• 刊名：Brain Structure and Function
• 出版年：2013
• 出版时间：November 2013
• 年：2013
• 卷：218
• 期：6
• 页码：1429-1450
• 全文大小：
• 作者单位：Degang Zhang (1) (2)
  Lei Guo (1)
  Dajiang Zhu (3)
  Kaiming Li (1) (3)
  Longchuan Li (4)
  Hanbo Chen (3)
  Qun Zhao (2)
  Xiaoping Hu (4)
  Tianming Liu (3)
  
  1. School of Automation, Northwestern Polytechnical University, Xi’an, China
  2. Department of Physics and Bioimaging Research Center, The University of Georgia, Athens, GA, USA
  3. Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA
  4. Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
  
• ISSN：1863-2661

文摘

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.