Model order effects on independent vector analysis applied to complex-valued fMRI data

Li Dan Kuang, Qiu Hua Lin, Xiao Feng Gong, Yong Gang Chen, Fengyu Cong, Vince Daniel Calhoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Independent vector analysis (IVA) has exhibited promising applications to complex-valued fMRI data, however model order effects on complex-valued IVA have not yet been studied. As such, we investigate model order effects on IVA using 16 task-based complex-valued fMRI data sets. A noncircular fixed-point complex-valued IVA (non-FIVA) algorithm was utilized. The model orders were varied from 10 to 160. The ICASSO toolbox was modified for selecting the best spatial estimates across all runs to assess the IVA stability. Non-FIVA was compared to a complex-valued independent component analysis (ICA) algorithm as well as to real-valued IVA and ICA algorithms which analyzed magnitude-only fMRI data. The complex-valued analysis detected component splitting at higher model orders, but in a different way from the magnitude-only analysis in that a complete component and its sub-components exist simultaneously. This suggests that the incorporation of phase fMRI data may better preserve the integrity of the larger networks. Good stability was also achieved by non-FIVA with different orders.

Original languageEnglish (US)
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE Computer Society
Pages81-84
Number of pages4
ISBN (Electronic)9781509011711
DOIs
StatePublished - Jun 15 2017
Externally publishedYes
Event14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
Duration: Apr 18 2017Apr 21 2017

Other

Other14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
CountryAustralia
CityMelbourne
Period4/18/174/21/17

Keywords

  • Complex-valued fMRI data
  • Group ICA
  • ICASSO
  • Independent vector analysis
  • Model order effect

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Kuang, L. D., Lin, Q. H., Gong, X. F., Chen, Y. G., Cong, F., & Calhoun, V. D. (2017). Model order effects on independent vector analysis applied to complex-valued fMRI data. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 81-84). [7950473] IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950473