Single-trial based independent component analysis on mismatch negativity in children
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Published on: October 3, 2018
Fengyu Cong1, Igor Kalyakin, Tiina Huttunen-Scott
1Department of Mathematical Information Technology, University of Jyväskylä, PL 35 (Agora), Jyväskylä 40014, Finland. fengyu.cong@jyu.fi
Abstract:
Independent component analysis (ICA) does not follow the superposition rule. This motivates us to study a negative event-related potential - mismatch negativity (MMN) estimated by the single-trial based ICA (sICA) and averaged trace based ICA (aICA), respectively. To sICA, an optimal digital filter (ODF) was used to remove low-frequency noise. As a result, this study demonstrates that the performance of the sICA+ODF and aICA could be different. Moreover, MMN under sICA+ODF fits better with the theoretical expectation, i.e., larger deviant elicits larger MMN peak amplitude.

