How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network

DOI10.1155/2012/130985zbMath1401.92039OpenAlexW1988766789WikidataQ42278138 ScholiaQ42278138MaRDI QIDQ454614

S. Salinari, Giovanni Vecchiato, Donatella Mattia, Febo Cincotti, Anton Giulio Maglione, Jlenia Toppi, Fabrizio De Vico Fallani, Fabio Babiloni, Laura Astolfi

Publication date: 10 October 2012

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/130985

zbMATH Keywords

brain connectivity networkconnectivity patternssmall-world propertiesstatistical validation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of graph theory (05C90) Neural biology (92C20)

Related Items (2)

Functional brain connectivity in Alzheimer's disease: an EEG study based on permutation disalignment index ⋮ Decreased coherence and functional connectivity of electroencephalograph in Alzheimer's disease

Uses Software

• Brain Connectivity Toolbox

Cites Work

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• A new method of the description of the information flow in the brain structures
• Testing for nonlinearity in time series: the method of surrogate data
• Harmony in the small-world
• The control of the false discovery rate in multiple testing under dependency.
• Partial directed coherence: a new concept in neural structure determination
• Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods
• Collective dynamics of ‘small-world’ networks
• Exploring complex networks
• Controlling the familywise error rate in functional neuroimaging: a comparative review
• A new look at the statistical model identification

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