Non-negative matrix factorization Vs. FastICA on mismatch negativity of children

Authors:
F. Cong;Z. Zhang;I. Kalyakin;T. Huttunen-Scott;H. Lyytinen;T. Ristaniemi
Affiliations:
Department of Mathematical Information Technology, University of Jyvaskyla, Jyvaskyla, Finland;Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA;Department of Mathematical Information Technology, University of Jyvaskyla, Jyvaskyla, Finland;Department of Psychology, University of Jyvaskyla, Finland;Department of Psychology, University of Jyvaskyla, Finland;Department of Mathematical Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

Citing 2
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Extract mismatch negativity and p3a through two-dimensional nonnegative decomposition on time-frequency represented event-related potentials

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II

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Abstract

In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by Fast independent component analysis (FastICA). Thus, in theory NMF could reach better separation of the responses. In the current experiment MMN was elicited by auditory duration deviations in 102 children. NMF was performed on the time-frequency representation of the raw data to estimate sources. Support to Absence Ratio (SAR) of the MMN component was utilized to evaluate the performance of NMF and FastICA. To the raw data, FastICA-MMN component, and NMF-MMN component, SARs were 31, 34 and 49dB respectively. NMF outperformed FastlCA by 15dB. This study also demonstrates that children with reading disability have larger P3a than control children under NMF.