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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; Vecchio, F; Ziemann, U; Hallett, M.
Afiliação
  • Rossini PM; Institute of Neurology, Area of Neuroscience, Catholic University of Sacred Heart, Rome, Italy; Brain Connectivity Lab, IRCCS San Raffaele Pisana, Rome, Italy; Neurology Unit, IRCCS Polyclinic A. Gemelli Foundation, Rome, Italy.
  • Di Iorio R; Neurology Unit, IRCCS Polyclinic A. Gemelli Foundation, Rome, Italy. Electronic address: r.diiorio@live.it.
  • Bentivoglio M; Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
  • Bertini G; Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
  • Ferreri F; Department of Neuroscience, University of Padua, Padua, Italy; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.
  • Gerloff C; Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany.
  • Ilmoniemi RJ; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Miraglia F; Institute of Neurology, Area of Neuroscience, Catholic University of Sacred Heart, Rome, Italy; Brain Connectivity Lab, IRCCS San Raffaele Pisana, Rome, Italy.
  • Nitsche MA; Leibniz Research Centre for Working Environment and Human Factors, Department of Psychology and Neurosciences, Dortmund, Germany; University Medical Hospital Bergmannsheil, Department of Neurology, Bochum, Germany.
  • Pestilli F; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
  • Rosanova M; Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy; Fondazione Europea di Ricerca Biomedica, FERB Onlus, Milan, Italy.
  • Shirota Y; Department of Neurology, The University of Tokyo, Tokyo, Japan.
  • Tesoriero C; Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
  • Ugawa Y; Department of Neuro-Regeneraion, Fukushima Medical University, Fukushima, Japan.
  • Vecchio F; Brain Connectivity Lab, IRCCS San Raffaele Pisana, Rome, Italy.
  • Ziemann U; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, Tübingen, Germany.
  • Hallett M; Human Motor Control Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA.
Clin Neurophysiol ; 130(10): 1833-1858, 2019 10.
Article em En | MEDLINE | ID: mdl-31401492
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Magnetoencefalografia / Eletroencefalografia / Estimulação Magnética Transcraniana / Rede Nervosa Limite: Humans Idioma: En Revista: Clin Neurophysiol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Magnetoencefalografia / Eletroencefalografia / Estimulação Magnética Transcraniana / Rede Nervosa Limite: Humans Idioma: En Revista: Clin Neurophysiol Ano de publicação: 2019 Tipo de documento: Article