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

Journal

CLINICAL NEUROPHYSIOLOGY
Volume 130, Issue 10, Pages 1833-1858

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.clinph.2019.06.006

Keywords

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

Funding

  1. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [ZIANS002669] Funding Source: NIH RePORTER

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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. (C) 2019 Published by Elsevier B.V. on behalf of International Federation of Clinical Neurophysiology.

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