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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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Bibliografski detalji
Glavni autori: 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
Jezik:Inglês
Izdano: 2014
Teme:
Online pristup: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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