Functional connectomics from resting-state fMRI

S.M. Smith, D. Vidaurre, Christian Beckmann, M. Jenkinson, T.E. Nichols, E.C. Robinson, Mark W. Woolrich, D.M. Barch

Research output: Contribution to journalArticleAcademicpeer-review

432 Citations (Scopus)

Abstract

Spontaneous fluctuations in activity in different parts of the brain can be used to study functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose of mapping the macroscopic functional connectome. After describing MRI acquisition and image-processing methods commonly used to generate data in a form amenable to connectomics network analysis, we discuss different approaches for estimating network structure from that data. Finally, we describe new possibilities resulting from the high-quality rfMRI data being generated by the Human Connectome Project and highlight some upcoming challenges in functional connectomics. © 2013 Elsevier Ltd.
Original languageUndefined
Pages (from-to)666-682
JournalTrends in cognitive sciences
Volume17
Issue number12
DOIs
Publication statusPublished - 2013

Keywords

  • METIS-301609
  • IR-89671

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