Methods for analysis of brain connectivity: an IFCN-sponsored 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, Vecchio [Unknown], U. Ziemann, M. Hallett

Research output: Contribution to journalArticleScientificpeer-review

Abstract

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
JournalClinical Neurophysiology
ISSN1388-2457
DOIs
Publication statusPublished - 2 Jul 2019
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Brain connectivity
  • anatomical connectivity
  • functional connectivity
  • effective connectivity
  • human brain connectome
  • connectomics
  • fMRI
  • EEG
  • MEG
  • TMS-EEG
  • non-invasive brain stimulation
  • 3112 Neurosciences

Cite this

Rossini, P. M., Di Iorio, R., Bentivoglio, M., Bertini, G., Ferreri, F., Gerloff, C., ... Hallett, M. (2019). Methods for analysis of brain connectivity: an IFCN-sponsored review. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2019.06.006
Rossini, P.M. ; Di Iorio, R. ; Bentivoglio, M. ; Bertini, G. ; Ferreri, F. ; Gerloff, C. ; Ilmoniemi, R.J. ; Miraglia, F. ; Nitsche, M.A. ; Pestilli, F. ; Rosanova, M. ; Shirota, Y. ; Tesoriero, C. ; Ugawa, Y. ; [Unknown], Vecchio ; Ziemann, U. ; Hallett, M. / Methods for analysis of brain connectivity: an IFCN-sponsored review. In: Clinical Neurophysiology. 2019.
@article{16ef7407ea484e9a82cb95f6ac166b3c,
title = "Methods for analysis of brain connectivity: an IFCN-sponsored review",
abstract = "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.",
keywords = "Brain connectivity, anatomical connectivity, functional connectivity, effective connectivity, human brain connectome, connectomics, fMRI, EEG, MEG, TMS-EEG, non-invasive brain stimulation, 3112 Neurosciences",
author = "P.M. Rossini and {Di Iorio}, R. and M. Bentivoglio and G. Bertini and F. Ferreri and C. Gerloff and R.J. Ilmoniemi and F. Miraglia and M.A. Nitsche and F. Pestilli and M. Rosanova and Y. Shirota and C. Tesoriero and Y. Ugawa and Vecchio [Unknown] and U. Ziemann and M. Hallett",
year = "2019",
month = "7",
day = "2",
doi = "10.1016/j.clinph.2019.06.006",
language = "English",
journal = "Clinical Neurophysiology",
issn = "1388-2457",
publisher = "ELSEVIER IRELAND LTD",

}

Rossini, PM, Di Iorio, R, Bentivoglio, M, Bertini, G, Ferreri, F, Gerloff, C, Ilmoniemi, RJ, Miraglia, F, Nitsche, MA, Pestilli, F, Rosanova, M, Shirota, Y, Tesoriero, C, Ugawa, Y, [Unknown], V, Ziemann, U & Hallett, M 2019, 'Methods for analysis of brain connectivity: an IFCN-sponsored review', Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2019.06.006

Methods for analysis of brain connectivity: an IFCN-sponsored review. / Rossini, P.M.; Di Iorio, R.; Bentivoglio, M.; Bertini, G.; Ferreri, F.; Gerloff, C.; Ilmoniemi, R.J.; Miraglia, F.; Nitsche, M.A.; Pestilli, F.; Rosanova, M.; Shirota, Y.; Tesoriero, C.; Ugawa, Y.; [Unknown], Vecchio; Ziemann, U.; Hallett, M.

In: Clinical Neurophysiology, 02.07.2019.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Methods for analysis of brain connectivity: an IFCN-sponsored review

AU - Rossini, P.M.

AU - Di Iorio, R.

AU - Bentivoglio, M.

AU - Bertini, G.

AU - Ferreri, F.

AU - Gerloff, C.

AU - Ilmoniemi, R.J.

AU - Miraglia, F.

AU - Nitsche, M.A.

AU - Pestilli, F.

AU - Rosanova, M.

AU - Shirota, Y.

AU - Tesoriero, C.

AU - Ugawa, Y.

AU - [Unknown], Vecchio

AU - Ziemann, U.

AU - Hallett, M.

PY - 2019/7/2

Y1 - 2019/7/2

N2 - 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.

AB - 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.

KW - Brain connectivity

KW - anatomical connectivity

KW - functional connectivity

KW - effective connectivity

KW - human brain connectome

KW - connectomics

KW - fMRI

KW - EEG

KW - MEG

KW - TMS-EEG

KW - non-invasive brain stimulation

KW - 3112 Neurosciences

U2 - 10.1016/j.clinph.2019.06.006

DO - 10.1016/j.clinph.2019.06.006

M3 - Article

JO - Clinical Neurophysiology

JF - Clinical Neurophysiology

SN - 1388-2457

ER -

Rossini PM, Di Iorio R, Bentivoglio M, Bertini G, Ferreri F, Gerloff C et al. Methods for analysis of brain connectivity: an IFCN-sponsored review. Clinical Neurophysiology. 2019 Jul 2. https://doi.org/10.1016/j.clinph.2019.06.006