DICCCOL: Dense individualized and common connectivity-based cortical landmarks

Dajiang Zhu, Kaiming Li, Lei Guo, Xi Jiang, Tuo Zhang, Degang Zhang, Hanbo Chen, Fan Deng, Carlos Faraco, Changfeng Jin, Chong Yaw Wee, Yixuan Yuan, Peili Lv, Yan Yin, Xiaolei Hu, Lian Duan, Xintao Hu, Junwei Han, Lihong Wang, Dinggang ShenL. Stephen Miller, Lingjiang Li, Tianming Liu

Research output: Contribution to journalArticle

86 Citations (Scopus)

Abstract

Is there a common structural and functional cortical architecture that can be quantitatively encoded and precisely reproduced across individuals and populations? This question is still largely unanswered due to the vast complexity, variability, and nonlinearity of the cerebral cortex. Here, we hypothesize that the common cortical architecture can be effectively represented by group-wise consistent structural fiber connections and take a novel data-driven approach to explore the cortical architecture. We report a dense and consistent map of 358 cortical landmarks, named Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs). Each DICCCOL is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. Our results have shown that these 358 landmarks are remarkably reproducible over more than one hundred human brains and possess accurate intrinsically established structural and functional cross-subject correspondences validated by large-scale functional magnetic resonance imaging data. In particular, these 358 cortical landmarks can be accurately and efficiently predicted in a new single brain with DTI data. Thus, this set of 358 DICCCOL landmarks comprehensively encodes the common structural and functional cortical architectures, providing opportunities for many applications in brain science including mapping human brain connectomes, as demonstrated in this work.

Original languageEnglish
Pages (from-to)786-800
Number of pages15
JournalCerebral Cortex
Volume23
Issue number4
DOIs
Publication statusPublished - 2013 Apr

Keywords

  • cortical architecture
  • cortical landmark
  • diffusion tensor imaging
  • fMRI

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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    Zhu, D., Li, K., Guo, L., Jiang, X., Zhang, T., Zhang, D., Chen, H., Deng, F., Faraco, C., Jin, C., Wee, C. Y., Yuan, Y., Lv, P., Yin, Y., Hu, X., Duan, L., Hu, X., Han, J., Wang, L., ... Liu, T. (2013). DICCCOL: Dense individualized and common connectivity-based cortical landmarks. Cerebral Cortex, 23(4), 786-800. https://doi.org/10.1093/cercor/bhs072