Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

The Human Connectome Project (HCP) relies primarily on three complementary magnetic resonance (MR) methods. These are: 1) resting state functional MR imaging (rfMRI) which uses correlations in the temporal fluctuations in an fMRI time series to deduce ‘functional connectivity’; 2) diffusion imaging...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2013-10, Vol.80, p.80-104
Hauptverfasser:	Uğurbil, Kamil, Xu, Junqian, Auerbach, Edward J., Moeller, Steen, Vu, An T., Duarte-Carvajalino, Julio M., Lenglet, Christophe, Wu, Xiaoping, Schmitter, Sebastian, Van de Moortele, Pierre Francois, Strupp, John, Sapiro, Guillermo, De Martino, Federico, Wang, Dingxin, Harel, Noam, Garwood, Michael, Chen, Liyong, Feinberg, David A., Smith, Stephen M., Miller, Karla L., Sotiropoulos, Stamatios N., Jbabdi, Saad, Andersson, Jesper L.R., Behrens, Timothy E.J., Glasser, Matthew F., Van Essen, David C., Yacoub, Essa
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Brain - anatomy & histology Brain - physiology Connectome - methods Data analysis Diffusion Diffusion Magnetic Resonance Imaging - methods Humans Image Enhancement - methods Methods Models, Anatomic Models, Neurological Nerve Net - anatomy & histology Nerve Net - physiology NMR Nuclear magnetic resonance Spatio-Temporal Analysis Technological change Time series
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