title: Single-trial based independent component analysis on mismatch negativity in children.
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.
authors: Department of Mathematical Information Technology, University of Jyväskylä, PL 35 (Agora), Jyväskylä 40014, Finland. fengyu.cong@jyu.fi
authors: Fengyu
authors: F
authors: Cong
authors: Igor
authors: I
authors: Kalyakin
authors: Tiina
authors: T
authors: Huttunen-Scott
authors: Hong
authors: H
authors: Li
authors: Heikki
authors: H
authors: Lyytinen
authors: Tapani
authors: T
authors: Ristaniemi
mesh_terms: D000161:Acoustic Stimulation; D000293:Adolescent; D000465:Algorithms; D001289:Attention Deficit Disorder with Hyperactivity / Q000503:physiopathology; D002648:Child; D004569:Electroencephalography; D005071:Evoked Potentials / Q000502:physiology*; D005072:Evoked Potentials, Auditory / Q000502:physiology*; D006801:Humans; D007859:Learning Disabilities / Q000503:physiopathology