Geometric effects of volume-to-surface mapping of fMRI data

Keith George Ciantar, Christine Farrugia, Paola Galdi, Kenneth Scerri, Ting Xu*, Claude J. Bajada*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In this work, we identify a problem with the process of volume-to-surface mapping of functional Magnetic Resonance Imaging (fMRI) data that emerges in local connectivity analysis. We show that neighborhood correlations on the surface of the brain vary spatially with the gyral structure, even when the underlying volumetric data are uncorrelated noise. This could potentially have impacted studies focusing upon local neighborhood connectivity. We explore the effects of this anomaly across varying data resolutions and surface mesh densities, and propose several measures to mitigate these unwanted effects.

Original languageEnglish
Pages (from-to)2457-2464
Number of pages8
JournalBrain Structure and Function
Volume227
Issue number7
DOIs
Publication statusPublished - 27 Jul 2022

Keywords / Materials (for Non-textual outputs)

  • Artificial correlations
  • Cortical organization
  • Functional MRI
  • Volume-to-surface mapping

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