Methods for analysis of brain connectivity: An IFCN-sponsored review

Research output: Contribution to journalReview ArticleScientificpeer-review


  • P. M. Rossini
  • R. Di Iorio
  • M. Bentivoglio
  • G. Bertini
  • F. Ferreri
  • C. Gerloff
  • R. J. Ilmoniemi
  • F. Miraglia
  • M. A. Nitsche
  • F. Pestilli
  • M. Rosanova
  • Y. Shirota
  • C. Tesoriero
  • Y. Ugawa
  • F. Vecchio
  • U. Ziemann
  • M. Hallett

Research units

  • Catholic University of the Sacred Heart
  • IRCCS San Raffaele Pisana - Roma
  • Policlinico Universitario Agostino Gemelli
  • University of Verona
  • University of Padova
  • University of Eastern Finland
  • University of Hamburg
  • University of Helsinki
  • Leibniz Research Centre for Working Environment and Human Factors
  • Ruhr University Bochum
  • Indiana University Bloomington
  • Ospedale Luigi Sacco
  • Fondazione Europea di Ricerca Biomedica
  • University of Tokyo
  • Fukushima Medical University
  • University of Tübingen
  • National Institutes of Health


The goal of this paper is to examine existing methods to study the “Human Brain Connectome” with a specific focus on the neurophysiological ones. In recent years, a new approach has been developed to evaluate the anatomical and functional organization of the human brain: the aim of this promising multimodality effort is to identify and classify neuronal networks with a number of neurobiologically meaningful and easily computable measures to create its connectome. By defining anatomical and functional connections of brain regions on the same map through an integrated approach, comprising both modern neurophysiological and neuroimaging (i.e. flow/metabolic) brain-mapping techniques, network analysis becomes a powerful tool for exploring structural–functional connectivity mechanisms and for revealing etiological relationships that link connectivity abnormalities to neuropsychiatric disorders. Following a recent IFCN-endorsed meeting, a panel of international experts was selected to produce this current state-of-art document, which covers the available knowledge on anatomical and functional connectivity, including the most commonly used structural and functional MRI, EEG, MEG and non-invasive brain stimulation techniques and measures of local and global brain connectivity.


Original languageEnglish
Pages (from-to)1833-1858
Number of pages26
JournalClinical Neurophysiology
Issue number10
Publication statusPublished - 1 Oct 2019
MoE publication typeA2 Review article in a scientific journal

    Research areas

  • Anatomical connectivity, Brain connectivity, Connectomics, EEG, Effective connectivity, fMRI, Functional connectivity, Human brain connectome, MEG, Non-invasive brain stimulation, TMS-EEG

ID: 36076023