Literature DB >> 31401492

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

P M Rossini1, R Di Iorio2, M Bentivoglio3, G Bertini3, F Ferreri4, C Gerloff5, R J Ilmoniemi6, F Miraglia7, M A Nitsche8, F Pestilli9, M Rosanova10, Y Shirota11, C Tesoriero3, Y Ugawa12, F Vecchio13, U Ziemann14, M Hallett15.   

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.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

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

Mesh:

Year:  2019        PMID: 31401492     DOI: 10.1016/j.clinph.2019.06.006

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  21 in total

1.  Alterations in the structural covariance network of the hypothalamus in patients with narcolepsy.

Authors:  Hyung Chan Kim; Dong Ah Lee; Ho-Joon Lee; Kyong Jin Shin; Kang Min Park
Journal:  Neuroradiology       Date:  2022-01-11       Impact factor: 2.804

Review 2.  Non-invasive brain stimulation and neuroenhancement.

Authors:  Andrea Antal; Bruce Luber; Anna-Katharine Brem; Marom Bikson; Andre R Brunoni; Roi Cohen Kadosh; Veljko Dubljević; Shirley Fecteau; Florinda Ferreri; Agnes Flöel; Mark Hallett; Roy H Hamilton; Christoph S Herrmann; Michal Lavidor; Collen Loo; Caroline Lustenberger; Sergio Machado; Carlo Miniussi; Vera Moliadze; Michael A Nitsche; Simone Rossi; Paolo M Rossini; Emiliano Santarnecchi; Margitta Seeck; Gregor Thut; Zsolt Turi; Yoshikazu Ugawa; Ganesan Venkatasubramanian; Nicole Wenderoth; Anna Wexler; Ulf Ziemann; Walter Paulus
Journal:  Clin Neurophysiol Pract       Date:  2022-05-25

3.  Different Frequency Bands in Various Regions of the Brain Play Different Roles in the Onset and Wake-Sleep Stages of Infantile Spasms.

Authors:  Yan Dong; Ruijuan Xu; Yaodong Zhang; Yali Shi; Kaixian Du; Tianming Jia; Jun Wang; Fang Wang
Journal:  Front Pediatr       Date:  2022-05-12       Impact factor: 3.569

Review 4.  Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.

Authors:  Fan Zhang; Alessandro Daducci; Yong He; Simona Schiavi; Caio Seguin; Robert E Smith; Chun-Hung Yeh; Tengda Zhao; Lauren J O'Donnell
Journal:  Neuroimage       Date:  2022-01-01       Impact factor: 7.400

Review 5.  Toward noninvasive brain stimulation 2.0 in Alzheimer's disease.

Authors:  Arianna Menardi; Simone Rossi; Giacomo Koch; Harald Hampel; Andrea Vergallo; Michael A Nitsche; Yaakov Stern; Barbara Borroni; Stefano F Cappa; Maria Cotelli; Giulio Ruffini; Georges El-Fakhri; Paolo M Rossini; Brad Dickerson; Andrea Antal; Claudio Babiloni; Jean-Pascal Lefaucheur; Bruno Dubois; Gustavo Deco; Ulf Ziemann; Alvaro Pascual-Leone; Emiliano Santarnecchi
Journal:  Ageing Res Rev       Date:  2021-12-30       Impact factor: 11.788

6.  Alterations in the metabolic networks of temporal lobe epilepsy patients: A graph theoretical analysis using FDG-PET.

Authors:  Hye-Kyung Shim; Ho-Joon Lee; Sung Eun Kim; Byung In Lee; Seongho Park; Kang Min Park
Journal:  Neuroimage Clin       Date:  2020-07-15       Impact factor: 4.881

7.  Resting State EEG in Exercise Intervention Studies: A Systematic Review of Effects and Methods.

Authors:  Mathias Holsey Gramkow; Steen Gregers Hasselbalch; Gunhild Waldemar; Kristian Steen Frederiksen
Journal:  Front Hum Neurosci       Date:  2020-05-07       Impact factor: 3.169

8.  Neuroplasticity following Nerve Transfer of the Anterior Interosseous Nerve for Proximal Ulnar Nerve Injuries.

Authors:  Erika Nyman; Torbjörn Nyman; Carin Rubensson; Magnus Thordstein
Journal:  Plast Reconstr Surg Glob Open       Date:  2021-07-13

9.  A novel dynamic network imaging analysis method reveals aging-related fragmentation of cortical networks in mouse.

Authors:  Daniel A Llano; Chihua Ma; Umberto Di Fabrizio; Aynaz Taheri; Kevin A Stebbings; Georgiy Yudintsev; Gang Xiao; Robert V Kenyon; Tanya Y Berger-Wolf
Journal:  Netw Neurosci       Date:  2021-06-21

10.  Distinct Functional Connectivity Patterns Are Associated With Social and Cognitive Lifestyle Factors: Pathways to Cognitive Reserve.

Authors:  Jessica I Fleck; Molly Arnold; Benjamin Dykstra; Katharine Casario; Elizabeth Douglas; Otto Morris
Journal:  Front Aging Neurosci       Date:  2019-11-13       Impact factor: 5.750

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