Brain Imaging and Behavior

, Volume 12, Issue 3, pp 728–742 | Cite as

Joint representation of consistent structural and functional profiles for identification of common cortical landmarks

  • Shu Zhang
  • Yu Zhao
  • Xi Jiang
  • Dinggang ShenEmail author
  • Tianming LiuEmail author
Original Research


In the brain mapping field, there have been significant interests in representation of structural/functional profiles to establish structural/functional landmark correspondences across individuals and populations. For example, from the structural perspective, our previous studies have identified hundreds of consistent DICCCOL (dense individualized and common connectivity-based cortical landmarks) landmarks across individuals and populations, each of which possess consistent DTI-derived fiber connection patterns. From the functional perspective, a large collection of well-characterized HAFNI (holistic atlases of functional networks and interactions) networks based on sparse representation of whole-brain fMRI signals have been identified in our prior studies. However, due to the remarkable variability of structural and functional architectures in the human brain, it is challenging for earlier studies to jointly represent the connectome-scale structural and functional profiles for establishing a common cortical architecture which can comprehensively encode both structural and functional characteristics across individuals. To address this challenge, we propose an effective computational framework to jointly represent the structural and functional profiles for identification of consistent and common cortical landmarks with both structural and functional correspondences across different brains based on DTI and fMRI data. Experimental results demonstrate that 55 structurally and functionally common cortical landmarks can be successfully identified.


Cortical landmarks DTI fMRI Brain architecture 


Compliance with ethical standards


This research was supported by the National Institutes of Health (DA-033393, AG-042599) and by the National Science Foundation (NSF CAREER Award IIS-1149260, CBET-1302089, BCS-1439051 and DBI-1564736).

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

11682_2017_9736_MOESM1_ESM.docx (4.5 mb)
ESM 1 (DOCX 4575 kb)


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research CenterThe University of GeorgiaAthensUSA
  2. 2.Department of Radiology and BRICUniversity of North CarolinaChapel HillUSA
  3. 3.Department of Brain and Cognitive EngineeringKorea UniversitySeoulRepublic of Korea

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