Publication

Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data

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Last modified
  • 05/15/2025
Type of Material
Authors
    Tuo Zhang, Northwestern Polytechnical UniversityJun Kong, Emory UniversityKe Jing, Nanjing University of Science & TechnologyHanbo Chen, University of GeorgiaXi Jiang, University of GeorgiaLongchuan Li, Emory UniversityLei Guo, Northwestern Polytechnical UniversityJianfeng Lu, Nanjing University of Science & TechnologyXiaoping Hu, Emory UniversityTianming Liu, University of Georgia
Language
  • English
Date
  • 2018-11-01
Publisher
  • Elsevier: 12 months
Publication Version
Copyright Statement
  • © 2018 Elsevier Ltd
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0895-6111
Volume
  • 69
Start Page
  • 9
End Page
  • 20
Grant/Funding Information
  • T Liu was supported by the NIH R01 DA-033393, NIH R01 AG-042599, NSF CAREER Award IIS-1149260, NSF BME-1302089, NSF BCS-1439051 and NSF DBI-1564736.
  • L Guo was supported by NSFC 61273362 and 61333017.
  • T Zhang was supported by NSFC 31500798, NSFC 31671005 and the fundamental research funds for the central universities.
  • J Kong was supported by NIH K25CA181503. L Li was supported by R21 MH105816, P50MH100029.
Supplemental Material (URL)
Abstract
  • Accurate assessment of connectional anatomy of primate brains can be an important avenue to better understand the structural and functional organization of brains. To this end, numerous connectome projects have been initiated to create a comprehensive map of the connectional anatomy over a large spatial expanse. Tractography based on diffusion MRI (dMRI) data has been used as a tool by many connectome projects in that it is widely used to visualize axonal pathways and reveal microstructural features on living brains. However, the measures obtained from dMRI are indirect inference of microstructures. This intrinsic limitation reduces the reliability of dMRI in constructing connectomes for brains. In this work, we proposed a framework to increase the accuracy of constructing a dMRI-based connectome on macaque brains by integrating meso-scale connective information from tract-tracing data and micro-scale axonal orientation information from myelin stain data. Our results suggest that this integrative framework could advance the mapping accuracy of dMRI based connections and axonal pathways, and demonstrate the prospect of the proposed framework in constructing a large-scale connectome on living primate brains.
Keywords
Research Categories
  • Biology, Neuroscience
  • Health Sciences, Radiology

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