A Mapping between Structural and Functional Brain Networks

Jil Meier*, Prejaas Tewarie, Arjan Hillebrand, Linda Douw, Bob W. Van Dijk, Steven M. Stufflebeam, Piet Van Mieghem

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

105 Citations (Scopus)


The relationship between structural and functional brain networks is still highly debated. Most previous studies have used a single functional imaging modality to analyze this relationship. In this work, we use multimodal data, from functional MRI, magnetoencephalography, and diffusion tensor imaging, and assume that there exists a mapping between the connectivity matrices of the resting-state functional and structural networks. We investigate this mapping employing group averaged as well as individual data. We indeed find a significantly high goodness of fit level for this structure-function mapping. Our analysis suggests that a functional connection is shaped by all walks up to the diameter in the structural network in both modality cases. When analyzing the inverse mapping, from function to structure, longer walks in the functional network also seem to possess minor influence on the structural connection strengths. Even though similar overall properties for the structure-function mapping are found for different functional modalities, our results indicate that the structure-function relationship is modality dependent.

Original languageEnglish
Pages (from-to)298-311
Number of pages14
JournalBrain connectivity
Issue number4
Publication statusPublished - 1 May 2016
Externally publishedYes


  • Brain networks
  • DT1
  • FMRI
  • Functional connectivity
  • Functional networks
  • Matrix mapping
  • MEG
  • Structural connectivity
  • Structural networks
  • n/a OA procedure


Dive into the research topics of 'A Mapping between Structural and Functional Brain Networks'. Together they form a unique fingerprint.

Cite this