Journal article

Revisiting correlation-based functional connectivity and its relationship with structural connectivity

  • Liégeois, Raphaël ORCID Department of Radiology and Medical Informatics, University of Geneva, Switzerland
  • Santos, Augusto Institute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Switzerland
  • Matta, Vincenzo Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Italy
  • Van De Ville, Dimitri Department of Radiology and Medical Informatics, University of Geneva, Switzerland
  • Sayed, Ali H. Institute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Switzerland
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  • 2020-8-21
Published in:
  • Network Neuroscience. - MIT Press - Journals. - 2020, p. 1-17
English Patterns of brain structural connectivity (SC) and functional connectivity (FC) are known to be related. In SC-FC comparisons, FC has classically been evaluated from correlations between functional time series, and more recently from partial correlations or their unnormalized version encoded in the precision matrix. The latter FC metrics yields more meaningful comparisons to SC because they capture ‘direct’ statistical dependencies, i.e., discarding the effects of mediators, but their use has been limited because of estimation issues. With the rise of high-quality and large neuroimaging datasets, we revisit relevance of different FC metrics in the context of SC-FC comparisons. Using data from 100 unrelated HCP subjects, we first explore the amount of functional data required to reliably estimate various FC metrics. We find that precision-based FC yields a better match to SC than correlation-based FC when using 5 minutes of functional data or more. Finally, using a linear model linking SC and FC, we show that the SC-FC match can be used to further interrogate various aspects of brain structure and function such as the timescales of functional dynamics in different resting-state networks or the intensity of anatomical self-connections.
Language
  • English
Open access status
gold
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Persistent URL
https://sonar.ch/global/documents/149376
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