CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series

Canonical analysis of several sets of variables

Kettenring, J.R.: · 1971

Earlier work this paper cites.

Independent component analysis: algorithms and applications

Hyvärinen, A., Oja, E.: · 2000

Earlier work this paper cites.

A method for making group inferences from functional MRI data using independent component analysis

Calhoun, V.D., Adali, T., Pearlson, G.D., Pekar, J.J.: · 2001

Earlier work this paper cites.

Probabilistic independent component analysis for functional magnetic resonance imaging

Beckmann, C.F., Smith, S.M.: · 2004

Earlier work this paper cites.

Tensorial extensions of independent component analysis for multisubject FMRI analysis

Beckmann, C.F., Smith, S.M.: · 2005

Cited alongside, same era.

Consistent resting-state networks across healthy subjects

Damoiseaux, J.S., Rombouts, S.A.R.B., Barkhof, F., Scheltens, P., Stam, C.J., Smith, S.M., Beckmann, C.F.: · 2006

Cited alongside, same era.

A unified framework for group independent component analysis for multi-subject fMRI data

Guo, Y., Pagnoni, G.: · 2008

Cited alongside, same era.

NEDICA: Detection of group functional networks in FMRI using spatial independent component analysis

Perlbarg, V., Marrelec, G., Doyon, J., Pelegrini-Issac, M., Lehericy, S., Benali, H.: · 2008

Later among the works it cites.

Statistical shape modelling: How many modes should be retained?

Mei, L., Figl, M., Rueckert, D., Darzi, A., Edwards, P.: · 2008

Later among the works it cites.

Empirical null and false discovery rate analysis in neuroimaging

Original

Schwartzman, A., Dougherty, R., Lee, J., Ghahremani, D., Taylor, J.: · 2009

Closest in time.