Document Detail


Diffusion tensor imaging reveals evolution of primate brain architectures.
MedLine Citation:
PMID:  23135357     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Degang Zhang; Lei Guo; Dajiang Zhu; Kaiming Li; Longchuan Li; Hanbo Chen; Qun Zhao; Xiaoping Hu; Tianming Liu
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-8
Journal Detail:
Title:  Brain structure & function     Volume:  -     ISSN:  1863-2661     ISO Abbreviation:  Brain Struct Funct     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101282001     Medline TA:  Brain Struct Funct     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
School of Automation, Northwestern Polytechnical University, Xi'an, China.
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