ICA-based artefact and accelerated fMRI acquisition for improved Resting State Network imaging

The identification of resting state networks (RSNs) and the quantification of their functional connectivity in resting-state fMRI (rfMRI) are seriously hindered by the presence of artefacts, many of which overlap spatially or spectrally with RSNs. Moreover, recent developments in fMRI acquisition yi...

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Hlavní autoři: Griffanti, Ludovica, Salimi-Khorshidi, Gholamreza, Beckmann, Christian F., Auerbach, Edward J., Douaud, Gwenaëlle, Sexton, Claire E., Zsoldos, Enikő, Ebmeier, Klaus P, Filippini, Nicola, Mackay, Clare E., Moeller, Steen, Xu, Junqian, Yacoub, Essa, Baselli, Giuseppe, Ugurbil, Kamil, Miller, Karla L., Smith, Stephen M.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2014
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4154346/
https://ncbi.nlm.nih.gov/pubmed/24657355
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.03.034
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