TY - JOUR
T1 - Methods for analysis of brain connectivity
T2 - 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 - Vecchio, F.
AU - Ziemann, U.
AU - Hallett, M.
PY - 2019/10/1
Y1 - 2019/10/1
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 - Anatomical connectivity
KW - Brain connectivity
KW - Connectomics
KW - EEG
KW - Effective connectivity
KW - fMRI
KW - Functional connectivity
KW - Human brain connectome
KW - MEG
KW - Non-invasive brain stimulation
KW - TMS-EEG
UR - http://www.scopus.com/inward/record.url?scp=85070222418&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2019.06.006
DO - 10.1016/j.clinph.2019.06.006
M3 - Review Article
AN - SCOPUS:85070222418
SN - 1388-2457
VL - 130
SP - 1833
EP - 1858
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
IS - 10
ER -