Methods for analysis of brain connectivity: An IFCN-sponsored review. Issue 10 (October 2019)

• Record Type: Journal Article
• Authors: 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.
• Is Part Of: Clinical neurophysiology. Volume 130:Issue 10(2019:Oct.)
• Page Start: 1833
• Page End: 1858
• Publication Date: 2019-10
• Subjects: Brain connectivity -- Anatomical connectivity -- Functional connectivity -- Effective connectivity -- Human brain connectome -- Connectomics -- fMRI -- EEG -- MEG -- TMS-EEG -- Non-invasive brain stimulation; BOLD Blood Oxygenation Level Dependent -- CBI cerebellar inhibition -- CLARITY clear lipid-exchanged acrylamide-hybridized rigid imaging/immunostaining/in situ hybridization-compatible tissue hydrogel -- CNS Central Nervous System -- CRS-R coma recovery scale-revised -- CS Conditioning Stimulus -- CST Cortico Spinal Tract -- dMRI Diffusion Magnetic Resonance Imaging -- DNA DeoxyriboNucleic Acid -- DREADDs Designer Receptors Exclusively Activated by Designer Drugs -- DSI Diffusion Spectrum Imaging -- DTI Diffusion Tensor Imaging -- DWI Diffusion Weighted Imaging -- EEG electroencephalography -- eLORETA exact Low Resolution Electromagnetic Tomography -- EMG electromyography -- ET Ensemble Tractography -- ETC Ensemble Tractography Connectome -- fMRI functional Magnetic Resonance Imaging -- GABA Gamma-Aminobutyric Acid -- GM Grey Matter -- HARDI High Angular Resolution Diffusion Imaging -- HCP Human Connectome Project -- ICA Independent Component Analysis -- ICF Intracortical Facilitation -- ICMs Intrinsic Coupling Modes -- IHF Interhemispheric Facilitation -- ISI Interstimulus Interval -- LCD Late Cortical Disinhibition -- LICI Long Interval Intra Cortical Inhibition -- LiFE Linear Fascicle Evaluation -- LIHI Long Latency Interhemispheric Inhibition -- M1 Primary motor cortex -- MCS Minimally Conscious State -- MEG Magnetoencephalography -- MEP Motor Evoked Potential -- MRI Magnetic Resonance Imaging -- mTMS multilocus Transcranial Magnetic Stimulation -- NIBS Non-Invasive Brain Stimulation -- pcTMS paired coil Transcranial Magnetic Stimulation -- PFC Prefrontal Cortex -- PMd dorsal premotor cortex -- PMv ventral premotor cortex -- PPC Posterior Parietal Cortex -- ppTMS paired pulse Transcranial Magnetic Stimulation -- ROIs Regions Of Interest -- SAI Short latency Afferent Inhibition -- SICF Short Interval Intracortical Facilitation -- SICI Short Interval Intracortical Inhibition -- SIHI Short Latency Interhemispheric Inhibition -- SMA Supplementary Motor Area -- SPC Single Parameter Connectomes -- spTMS single pulse Transcranial Magnetic Stimulation -- STM Single Tractography Methods -- tACS transcranial Alternating Current Stimulation -- tDCS transcranial Direct Current Stimulation -- TEPs TMS-evoked EEG Potentials -- tES Transcranial Electrical Stimulation -- TMS Transcranial Magnetic Stimulation -- TS Test stimulus -- UWS Unresponsive Wakefulness Syndrome -- VS Vegetative Wakefulness Syndrome -- WM White Matter; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2019.06.006
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: 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. 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.