A1 Journal article (refereed)
Adaptive Independent Vector Analysis for Multi-Subject Complex-Valued fMRI Data (2017)


Kuang, L.-D., Lin, Q.-H., Gong, X.-F., Cong, F., & Calhoun, V. D. (2017). Adaptive Independent Vector Analysis for Multi-Subject Complex-Valued fMRI Data. Journal of Neuroscience Methods, 281, 49-63. doi:10.1016/j.jneumeth.2017.01.017


JYU authors or editors


Publication details

All authors or editors: Kuang, Li-Dan; Lin, Qiu-Hua; Gong, Xiao-Feng; Cong, Fengyu; Calhoun, Vince D.

Journal or series: Journal of Neuroscience Methods

ISSN: 0165-0270

Publication year: 2017

Volume: 281

Issue number: 0

Pages range: 49-63

Publisher: Elsevier

Place of Publication: Amsterdam

Publication country: Netherlands

Publication language: English

DOI: http://doi.org/10.1016/j.jneumeth.2017.01.017

Open Access: Publication channel is not openly available

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/53413


Free keywords: independent vector analysis (IVA); complex-valued fMRI data; MGGD; shape parameter; subspace de-noising; post-IVA phase de-noising; noncircularity


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1


Last updated on 2020-17-10 at 22:05