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SINGLE-TRIAL BASED INDEPENDENT COMPONENT ANALYSIS ON MISMATCH NEGATIVITY IN CHILDREN

FENGYU CONG

Department of Mathematical Information Technology, University of Jyväskylä, PL 35 (Agora), Jyväskylä, 40014, Finland

Corresponding author.

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IGOR KALYAKIN

Department of Mathematical Information Technology, University of Jyväskylä, PL 35 (Agora), Jyväskylä, 40014, Finland

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TIINA HUTTUNEN-SCOTT

Department of Psychology, University of Jyväskylä, Jyväskylä, 40014, Finland

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HONG LI

School of Psychology, Beijing Normal University, Beijing, 100875, China

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HEIKKI LYYTINEN

Department of Psychology, University of Jyväskylä, Jyväskylä, 40014, Finland

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, and

TAPANI RISTANIEMI

Department of Mathematical Information Technology, University of Jyväskylä, PL 35 (Agora), Jyväskylä, 40014, Finland

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https://doi.org/10.1142/S0129065710002413Cited by:30 (Source: Crossref)

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.

Keywords:

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