GraphVar: a user-friendly toolbox for comprehensive graph analyses of functional brain connectivity.

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Abstract

Graph theory provides a powerful and comprehensive formalism of global and local topological network properties of complex structural or functional brain connectivity. Software packages such as the Brain-Connectivity-Toolbox have contributed to graph theory's increasing popularity for characterization of brain networks. However, comparably comprehensive packages are command-line based and require programming experience; this precludes their use by users without a computational background, whose research would otherwise benefit from graph-theoretical methods.

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Author and article information

Journal

Journal ID (iso-abbrev): J. Neurosci. Methods

Title: Journal of neuroscience methods

ISSN (Electronic): 1872-678X

ISSN (Print): 0165-0270

Publication date (Electronic): Apr 30 2015

Volume: 245

Affiliations

[1 ] Charité - Universitätsmedizin Berlin, Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Berlin, Germany; Technische Universität Dresden, Institute of General Psychology, Dresden, Germany. Electronic address: johann.kruschwitz@charite.de.

[2 ] Charité - Universitätsmedizin Berlin, Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Berlin, Germany; Technische Universität Dresden, Institute of General Psychology, Dresden, Germany. Electronic address: david.list@charite.de.

[3 ] Charité - Universitätsmedizin Berlin, Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Berlin, Germany.

[4 ] University of Cambridge, Cambridge, United Kingdom.

Article

Publisher Item ID: S0165-0270(15)00073-4

DOI: 10.1016/j.jneumeth.2015.02.021

PubMed ID: 25725332

SO-VID: eebda927-4ca3-4da4-b18f-ec9cd8f2fc99

History

Keywords: Graph theory, Brain connectivity,Network analysis,Resting-state,Toolbox

Data availability:

Keywords: Graph theory, Brain connectivity, Network analysis, Resting-state, Toolbox

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