NDLI: Deep independence network analysis of structural brain imaging: A simulation study

Content Provider	IEEE Xplore Digital Library
Author	Castro, E. Hjelm, D. Plis, S. Dinh, L. Turner, J. Calhoun, V.
Copyright Year	2015
Description	Author affiliation: Mind Res. Network, Albuquerque, NM, USA (Castro, E.; Hjelm, D.; Plis, S.; Turner, J.; Calhoun, V.) \|\| Univ. de Montreal, Montreal, QC, Canada (Dinh, L.)
Abstract	The objective of this paper is to further validate theoretically and empirically a nonlinear independent component analysis (ICA) algorithm implemented with a deep learning architecture. We first revisited its formulation to verify its consistency with the criterion of minimization of mutual information. Then, we applied the nonlinear independent component estimation algorithm (NICE) to synthetic 2D images that resemble structural magnetic resonance imaging (sMRI) data. This data was generated by mixing spatial components that represent axial slices of sMRI tissue concentration images. Next, we generated the images under linear and mildly nonlinear mixtures, being able to show that NICE matches ICA when the data is generated by using the conventional linear mixture and outperforms ICA for the nonlinear mixture of components. The obtained results are promising and suggest that NICE has potential to find richer brain networks if applied to real sMRI data, provided that small conditioning adjustments are performed along with this approach.
Starting Page	1
Ending Page	6
File Size	405373
Page Count	6
File Format	PDF
ISBN	9781467374545
DOI	10.1109/MLSP.2015.7324318
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Imaging Jacobian matrices Couplings Mutual information Brain Independent component analysis Machine learning NICE Nonlinear ICA deep learning structural MRI simulation
Content Type	Text
Resource Type	Article

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