Parcellation influence on the connectivity-based structure-function relationship in the human brain

Hum Brain Mapp. 2020 Apr 1;41(5):1167-1180. doi: 10.1002/hbm.24866. Epub 2019 Nov 19.

Abstract

One of the fundamental questions in neuroscience is how brain structure and function are intertwined. MRI-based studies have demonstrated a close relationship between the physical wiring of the brain (structural connectivity) and the associated patterns of synchronization (functional connectivity). However, little is known about the spatial consistency of such a relationship and notably its potential dependence on brain parcellations. In the present study, we performed a comparison of a set of state-of-the-art group-wise brain atlases, with various spatial resolutions, to relate structural and functional connectivity derived from high quality MRI data. We aim to investigate if the definition of brain areas influences the relationship between structural and functional connectivity. We observed that there is a significant effect of brain parcellations, which is mainly driven by the number of areas; there are mixed differences in the SC-FC relationship when compared to purely random parcellations; the influence of the number of areas cannot be attributed solely to the reliability of the connectivity estimates; and beyond the influence of the number of regions, the spatial embedding of the brain (distance effect) can explain a large portion of the observed relationship. As such the choice of a brain parcellation for connectivity analyses remains most likely a matter of convenience.

Keywords: brain connectivity; parcellation; structure-function relationship.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Atlases as Topic
  • Brain / diagnostic imaging*
  • Brain / physiology*
  • Connectome
  • Gray Matter / diagnostic imaging
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Neural Pathways / diagnostic imaging*
  • Neural Pathways / physiology*
  • Reproducibility of Results
  • White Matter / diagnostic imaging