JCJyh-Horng Chen

Jyh-Horng Chen

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Jyh-Horng Chen has a total of 9 co-authors. Here are the top co-authors by number of shared publications:

  • Chun-Hung Yeh

    Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan

    2 shared publications
  • Ching-Po Lin

    Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan; Brain Research Center, National Yang-Ming University, Taipei, Taiwan

    1 shared publication
  • Ching-Po Lin

    Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan

    1 shared publication
  • Jiun-Jie Wang

    Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan; Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan; Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung City, Taiwan; Department of Chemical Engineering, Ming-Chi University of Technology, New Taipei City, Taiwan

    1 shared publication
  • Kuan-Hung Cho

    Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

    1 shared publication
  • Kuan‐Hung Cho

    Interdisciplinary MRI/MRS Laboratory, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

    1 shared publication

Latest Publications

  • Open Access

    Potential in reducing scan times of HARDI by accurate correction of the cross-term in a hemispherical encoding scheme

    by Kuan-Hung Cho, Chun-Hung Yeh, Yi-Ping Chao, Jiun-Jie Wang, Jyh-Horng Chen, Ching-Po Lin


  • Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography

    by Yi‐Ping Chao, Kuan‐Hung Cho, Chun‐Hung Yeh, Kun‐Hsien Chou, Jyh‐Horng Chen, Ching‐Po Lin

    The function of the corpus callosum (CC) is to distribute perceptual, motor, cognitive, learned, and voluntary information between the two hemispheres of the brain. Accurate parcellation of the CC according to fiber composition and fiber connection is of upmost important. In this work, population‐based probabilistic connection topographies of the CC, in the standard Montreal Neurological Institute (MNI) space, are estimated by incorporating anatomical cytoarchitectural parcellation with high angular resolution diffusion imaging (HARDI) tractography. First, callosal fibers are extracted using multiple fiber assignment by continuous tracking algorithm based on q‐ball imaging (QBI), on 12 healthy and young subjects. Then, the fiber tracts are aligned in the standard MNI coordinate system based on a tract‐based transformation scheme. Next, twenty‐eight Brodmann's areas on the surface of cortical cortex are registered to the MNI space to parcellate the aligned callosal fibers. Finally, the population‐based topological subdivisions of the midsagittal CC to each cortical target are then mapped. And the resulting subdivisions of the CC that connect to the frontal and somatosensory associated cortex are also showed. To our knowledge, it is the first topographic subdivisions of the CC done using HARDI tractography and cytoarchitectonic information. In conclusion, this sophisticated topography of the CC may serve as a landmark to further understand the correlations between the CC, brain intercommunication, and functional cytoarchitectures. Hum Brain Mapp 2009.