The impact of denoising on independent component analysis of functional magnetic resonance imaging data

Pignat, Jean Michel; Koval, Oleksiy; Van De Ville, Dimitri; Voloshynovskyy, Svyatoslav; Michel, Christoph; Pun, Thierry

doi:10.1016/j.jneumeth.2012.10.011

Scientific article

English

The impact of denoising on independent component analysis of functional magnetic resonance imaging data

ContributorsPignat, Jean Michel; Koval, Oleksiy; Van De Ville, Dimitri

; Voloshynovskyy, Svyatoslav; Michel, Christoph; Pun, Thierry

Published inJournal of neuroscience methods, vol. 213, no. 1, p. 105-122

Publication date2013

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Citation (ISO format)

PIGNAT, Jean Michel et al. The impact of denoising on independent component analysis of functional magnetic resonance imaging data. In: Journal of neuroscience methods, 2013, vol. 213, n° 1, p. 105–122. doi: 10.1016/j.jneumeth.2012.10.011

Article (Published version)

Identifiers

PID : unige:31903
DOI : 10.1016/j.jneumeth.2012.10.011

Commercial URLhttp://linkinghub.elsevier.com/retrieve/pii/S0165027012004219

Journal ISSN0165-0270

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The impact of denoising on independent component analysis of functional magnetic resonance imaging data

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