Weighted average of shared trajectory: a new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time

BACKGROUND: Dynamic functional network connectivity (dFNC) of the brain has attracted considerable attention recently. Many approaches have been suggested to study dFNC with sliding window Pearson correlation (SWPC) being the most well-known. SWPC needs a relatively large sample size to reach a robu...

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Vydáno v:J Neurosci Methods
Hlavní autoři: Faghiri, Ashkan, Iraji, Armin, Damaraju, Eswar, Belger, Aysenil, Ford, Judy, Mathalon, Daniel, Mcewen, Sarah, Mueller, Bryon, Pearlson, Godfrey, Preda, Adrian, Turner, Jessica, Vaidya, Jatin G., Van Erp, Theo G.M., Calhoun, Vince D.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7371494/
https://ncbi.nlm.nih.gov/pubmed/31978489
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2020.108600
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