Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity

  • Daniel S. MarguliesEmail author
  • Joachim Böttger
  • Xiangyu Long
  • Yating Lv
  • Clare Kelly
  • Alexander Schäfer
  • Dirk Goldhahn
  • Alexander Abbushi
  • Michael P. Milham
  • Gabriele Lohmann
  • Arno Villringer
Technical Note


Analytic tools for addressing spontaneous brain activity, as acquired with fMRI during the “resting-state,” have grown dramatically over the past decade. Along with each new technique, novel hypotheses about the functional organization of the brain are also available to researchers. We review six prominent categories of resting-state fMRI data analysis: seed-based functional connectivity, independent component analysis, clustering, pattern classification, graph theory, and two “local” methods. In surveying these methods, we address their underlying assumptions, methodologies, and novel applications.


Resting state Functional connectivity Brain networks 


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Copyright information

© ESMRMB 2010

Authors and Affiliations

  • Daniel S. Margulies
    • 1
    Email author
  • Joachim Böttger
    • 2
  • Xiangyu Long
    • 1
  • Yating Lv
    • 1
  • Clare Kelly
    • 3
  • Alexander Schäfer
    • 1
  • Dirk Goldhahn
    • 1
  • Alexander Abbushi
    • 2
  • Michael P. Milham
    • 3
  • Gabriele Lohmann
    • 1
  • Arno Villringer
    • 1
  1. 1.Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
  2. 2.Department of NeurosurgeryCharité—UniversitätsmedizinBerlinGermany
  3. 3.P. Green and R. Cōwen Institute for Pediatric NeuroscienceNew York University School of MedicineNew YorkUSA

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