Research Article

Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging

  1. Gaolang Gong1,†,
  2. Tianzi Jiang1,†,*,
  3. Chaozhe Zhu1,†,
  4. Yufeng Zang1,
  5. Fei Wang1,
  6. Sheng Xie2,
  7. Jiangxi Xiao2,
  8. Xuemei Guo2

Article first published online: 28 SEP 2004

DOI: 10.1002/hbm.20072

Issue

Human Brain Mapping

Human Brain Mapping

Volume 24, Issue 2, pages 92–98, February 2005

Additional Information

How to Cite

Gong, G., Jiang, T., Zhu, C., Zang, Y., Wang, F., Xie, S., Xiao, J. and Guo, X. (2005), Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging. Human Brain Mapping, 24: 92–98. doi: 10.1002/hbm.20072

Author Information

  1. 1

    National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China

  2. 2

    Department of Radiology, Peking University First Hospital, Beijing, People's Republic of China

  1. †

    Gaolang Gong, Tianzi Jiang, and Chaozhe Zhu contributed equally to this work.

*National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China

Publication History

  1. Issue published online: 28 SEP 2004
  2. Article first published online: 28 SEP 2004
  3. Manuscript Accepted: 16 JUN 2004
  4. Manuscript Received: 13 JAN 2004

Funded by

  • Hundred Talents Programs, Chinese Academy of Sciences
  • Natural Science Foundation of China. Grant Numbers: 60172056, 60121302
  • National Key Basic Research and Development Program (973). Grant Number: 2003CB716104

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Keywords:

  • asymmetry;
  • cingulum;
  • DTI;
  • fiber-based analysis;
  • diffusion anisotropy

Abstract

Current analysis of diffusion tensor imaging (DTI) is based mostly on a region of interest (ROI) in an image dataset, which is specified by users. This method is not always reliable, however, because of the uncertainty of manual specification. We introduce an improved fiber-based scheme rather than an ROI-based analysis to study in DTI datasets of 31 normal subjects the asymmetry of the cingulum, which is one of the most prominent white matter fiber tracts of the limbic system. The present method can automatically extract the quantitative anisotropy properties along the cingulum bundles from tractography. Moreover, statistical analysis was carried out after anatomic correspondence specific to the cingulum across subjects was established, rather than the traditional whole-brain registration. The main merit of our method compared to existing counterparts is that to find such anatomic correspondence in cingulum, a scale-invariant parameterization method by arc-angle was proposed. It can give a continuous and exact description on any segment of cingulum. More interestingly, a significant left-greater-than-right asymmetry pattern was obtained in most segments of cingulum bundle (−50–25 degrees), except in the most posterior portion of cingulum (25–50 degrees). Hum Brain Mapp 24:92–98, 2005. © 2004 Wiley-Liss, Inc.

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