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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Bibliografiske detaljer
Main Authors: 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.
Format: Artigo
Sprog:Inglês
Udgivet: 2014
Fag:
Article
Online adgang: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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