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DICCCOL: dense individualized and common connectivity-based cortical landmarks.

Publication ,  Journal Article
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 ...
Published in: Cereb Cortex
April 2013

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.

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Published In

Cereb Cortex

DOI

EISSN

1460-2199

Publication Date

April 2013

Volume

23

Issue

4

Start / End Page

786 / 800

Location

United States

Related Subject Headings

  • Semantics
  • Neural Pathways
  • Nerve Fibers, Myelinated
  • Male
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Experimental Psychology
  • Emotions
 

Citation

APA
Chicago
ICMJE
MLA
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Zhu, D., Li, K., Guo, L., Jiang, X., Zhang, T., Zhang, D., … Liu, T. (2013). DICCCOL: dense individualized and common connectivity-based cortical landmarks. Cereb Cortex, 23(4), 786–800. https://doi.org/10.1093/cercor/bhs072
Zhu, Dajiang, Kaiming Li, Lei Guo, Xi Jiang, Tuo Zhang, Degang Zhang, Hanbo Chen, et al. “DICCCOL: dense individualized and common connectivity-based cortical landmarks.Cereb Cortex 23, no. 4 (April 2013): 786–800. https://doi.org/10.1093/cercor/bhs072.
Zhu D, Li K, Guo L, Jiang X, Zhang T, Zhang D, et al. DICCCOL: dense individualized and common connectivity-based cortical landmarks. Cereb Cortex. 2013 Apr;23(4):786–800.
Zhu, Dajiang, et al. “DICCCOL: dense individualized and common connectivity-based cortical landmarks.Cereb Cortex, vol. 23, no. 4, Apr. 2013, pp. 786–800. Pubmed, doi:10.1093/cercor/bhs072.
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, Han J, Wang L, Shen D, Miller LS, Li L, Liu T. DICCCOL: dense individualized and common connectivity-based cortical landmarks. Cereb Cortex. 2013 Apr;23(4):786–800.
Journal cover image

Published In

Cereb Cortex

DOI

EISSN

1460-2199

Publication Date

April 2013

Volume

23

Issue

4

Start / End Page

786 / 800

Location

United States

Related Subject Headings

  • Semantics
  • Neural Pathways
  • Nerve Fibers, Myelinated
  • Male
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Experimental Psychology
  • Emotions