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

•There are a variety of technologies valuable for exploring human brain connectivity.•The main aspects of anatomical, functional and effective connectivity are described.•A multimodality approach can be useful to evaluate the human brain connectome. The goal of this paper is to examine existing meth...

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Vydáno v:Clinical neurophysiology Ročník 130; číslo 10; s. 1833 - 1858
Hlavní autoři: 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., Vecchio, F., Ziemann, U., Hallett, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Netherlands Elsevier B.V 01.10.2019
Témata:
Anatomical connectivity
Brain - diagnostic imaging
Brain - physiology
Brain connectivity
Connectome - methods
Connectomics
EEG
Effective connectivity
Electroencephalography - methods
fMRI
Functional connectivity
Human brain connectome
Humans
Magnetic Resonance Imaging - methods
Magnetoencephalography - methods
MEG
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural Pathways - diagnostic imaging
Neural Pathways - physiology
Non-invasive brain stimulation
TMS-EEG
Transcranial Magnetic Stimulation - methods
Functional connectivity
LICI
M1
IHF
PMd
SPC
DREADDs
PFC
eLORETA
STM
Brain connectivity
DWI
PMv
BOLD
SICI
DSI
LIHI
EMG
SICF
tES
ppTMS
EEG
SMA
HARDI
LCD
MEG
ET
Non-invasive brain stimulation
fMRI
HCP
DTI
GABA
LiFE
MEP
SAI
VS
Effective connectivity
ICMs
PPC
TMS-EEG
MRI
tACS
CNS
CBI
Connectomics
dMRI
Human brain connectome
WM
CLARITY
ISI
CRS-R
mTMS
ROIs
CST
GM
ICA
NIBS
ICF
CS
UWS
SIHI
TEPs
ETC
spTMS
tDCS
DNA
Anatomical connectivity
TMS
MCS
pcTMS
TS
ISSN:1388-2457, 1872-8952, 1872-8952
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Abstract •There are a variety of technologies valuable for exploring human brain connectivity.•The main aspects of anatomical, functional and effective connectivity are described.•A multimodality approach can be useful to evaluate the human brain connectome. 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.
AbstractList 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.
•There are a variety of technologies valuable for exploring human brain connectivity.•The main aspects of anatomical, functional and effective connectivity are described.•A multimodality approach can be useful to evaluate the human brain connectome. 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.
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.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.
Author Ferreri, F.
Nitsche, M.A.
Shirota, Y.
Hallett, M.
Gerloff, C.
Vecchio, F.
Ugawa, Y.
Bertini, G.
Rossini, P.M.
Ziemann, U.
Pestilli, F.
Bentivoglio, M.
Tesoriero, C.
Di Iorio, R.
Miraglia, F.
Rosanova, M.
Ilmoniemi, R.J.
Author_xml – sequence: 1
  givenname: P.M.
  surname: Rossini
  fullname: Rossini, P.M.
  organization: Institute of Neurology, Area of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
– sequence: 2
  givenname: R.
  surname: Di Iorio
  fullname: Di Iorio, R.
  email: r.diiorio@live.it
  organization: Neurology Unit, IRCCS Polyclinic A. Gemelli Foundation, Rome, Italy
– sequence: 3
  givenname: M.
  surname: Bentivoglio
  fullname: Bentivoglio, M.
  organization: Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
– sequence: 4
  givenname: G.
  surname: Bertini
  fullname: Bertini, G.
  organization: Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
– sequence: 5
  givenname: F.
  surname: Ferreri
  fullname: Ferreri, F.
  organization: Department of Neuroscience, University of Padua, Padua, Italy
– sequence: 6
  givenname: C.
  surname: Gerloff
  fullname: Gerloff, C.
  organization: Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany
– sequence: 7
  givenname: R.J.
  surname: Ilmoniemi
  fullname: Ilmoniemi, R.J.
  organization: Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland
– sequence: 8
  givenname: F.
  surname: Miraglia
  fullname: Miraglia, F.
  organization: Institute of Neurology, Area of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
– sequence: 9
  givenname: M.A.
  surname: Nitsche
  fullname: Nitsche, M.A.
  organization: Leibniz Research Centre for Working Environment and Human Factors, Department of Psychology and Neurosciences, Dortmund, Germany
– sequence: 10
  givenname: F.
  surname: Pestilli
  fullname: Pestilli, F.
  organization: Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
– sequence: 11
  givenname: M.
  surname: Rosanova
  fullname: Rosanova, M.
  organization: Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, Milan, Italy
– sequence: 12
  givenname: Y.
  surname: Shirota
  fullname: Shirota, Y.
  organization: Department of Neurology, The University of Tokyo, Tokyo, Japan
– sequence: 13
  givenname: C.
  surname: Tesoriero
  fullname: Tesoriero, C.
  organization: Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
– sequence: 14
  givenname: Y.
  surname: Ugawa
  fullname: Ugawa, Y.
  organization: Department of Neuro-Regeneraion, Fukushima Medical University, Fukushima, Japan
– sequence: 15
  givenname: F.
  surname: Vecchio
  fullname: Vecchio, F.
  organization: Brain Connectivity Lab, IRCCS San Raffaele Pisana, Rome, Italy
– sequence: 16
  givenname: U.
  surname: Ziemann
  fullname: Ziemann, U.
  organization: Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, Tübingen, Germany
– sequence: 17
  givenname: M.
  surname: Hallett
  fullname: Hallett, M.
  organization: Human Motor Control Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31401492$$D View this record in MEDLINE/PubMed
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Issue 10
Keywords Functional connectivity
LICI
M1
IHF
PMd
SPC
DREADDs
PFC
eLORETA
STM
Brain connectivity
DWI
PMv
BOLD
SICI
DSI
LIHI
EMG
SICF
tES
ppTMS
EEG
SMA
HARDI
LCD
MEG
ET
Non-invasive brain stimulation
fMRI
HCP
DTI
GABA
LiFE
MEP
SAI
VS
Effective connectivity
ICMs
PPC
TMS-EEG
MRI
tACS
CNS
CBI
Connectomics
dMRI
Human brain connectome
WM
CLARITY
ISI
CRS-R
mTMS
ROIs
CST
GM
ICA
NIBS
ICF
CS
UWS
SIHI
TEPs
ETC
spTMS
tDCS
DNA
Anatomical connectivity
TMS
MCS
pcTMS
TS
Language English
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PublicationTitle Clinical neurophysiology
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  doi: 10.1016/j.clinph.2009.11.078
– volume: 26
  start-page: 3905
  year: 2016
  ident: 10.1016/j.clinph.2019.06.006_b1215
  article-title: Modulatory effects of the ipsi and contralateral ventral premotor cortex (PMv) on the primary motor cortex (M1) outputs to intrinsic hand and forearm muscles in Cebus apella
  publication-title: Cereb Cortex
  doi: 10.1093/cercor/bhw186
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Snippet •There are a variety of technologies valuable for exploring human brain connectivity.•The main aspects of anatomical, functional and effective connectivity are...
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...
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StartPage 1833
SubjectTerms Anatomical connectivity
Brain - diagnostic imaging
Brain - physiology
Brain connectivity
Connectome - methods
Connectomics
EEG
Effective connectivity
Electroencephalography - methods
fMRI
Functional connectivity
Human brain connectome
Humans
Magnetic Resonance Imaging - methods
Magnetoencephalography - methods
MEG
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural Pathways - diagnostic imaging
Neural Pathways - physiology
Non-invasive brain stimulation
TMS-EEG
Transcranial Magnetic Stimulation - methods
Title Methods for analysis of brain connectivity: An IFCN-sponsored review
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https://dx.doi.org/10.1016/j.clinph.2019.06.006
https://www.ncbi.nlm.nih.gov/pubmed/31401492
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Volume 130
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