Literature DB >> 23135357

Diffusion tensor imaging reveals evolution of primate brain architectures.

Degang Zhang1, Lei Guo, Dajiang Zhu, Kaiming Li, Longchuan Li, Hanbo Chen, Qun Zhao, Xiaoping Hu, Tianming Liu.   

Abstract

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.

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Year:  2012        PMID: 23135357      PMCID: PMC3663907          DOI: 10.1007/s00429-012-0468-4

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  47 in total

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Review 6.  Beyond neuroanatomy: novel approaches to studying brain evolution.

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  8 in total

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4.  Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data.

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

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8.  Functionally defined white matter of the macaque monkey brain reveals a dorso-ventral attention network.

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  8 in total

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