The DTI study on visual cortex V6 of human brain

Jiajia Yang, Yang Feng, Bin Wang, Jinglong Wu, Seiichiro Ohno, Yuuta Shibai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The connectivity between functionally distinct areas in the human brain is unknown because of the limitations posed by current postmortem anatomical labeling techniques. Diffusion tensor imaging (DTI) has previously been used to define large white matter tracts based on well-known anatomical landmarks in the living human brain. In the present study, we used DTI coupled with functional magnetic resonance imaging (fMRI) to assess neuronal connections between human striate and functionally defined human V6 areas. Functional areas were identified with conventional fMRI mapping procedures and then used as seeding points in a DTI analysis to ascertain connectivity patterns between cortical areas, thus yielding the pattern of connections.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
PublisherIEEE Computer Society
Pages435-440
Number of pages6
ISBN (Print)9781479939787
DOIs
Publication statusPublished - 2014
Event11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 - Tianjin, China
Duration: Aug 3 2014Aug 6 2014

Publication series

Name2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014

Other

Other11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
CountryChina
CityTianjin
Period8/3/148/6/14

Keywords

  • DTI
  • FMRI
  • V6
  • Wide-field visual stimulus

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Cite this

    Yang, J., Feng, Y., Wang, B., Wu, J., Ohno, S., & Shibai, Y. (2014). The DTI study on visual cortex V6 of human brain. In 2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 (pp. 435-440). [6885737] (2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014). IEEE Computer Society. https://doi.org/10.1109/ICMA.2014.6885737