6533b7dafe1ef96bd126e19f
RESEARCH PRODUCT
SINGLE-TRIAL BASED INDEPENDENT COMPONENT ANALYSIS ON MISMATCH NEGATIVITY IN CHILDREN
Fengyu CongTapani RistaniemiHong LiIgor KalyakinHeikki LyytinenTiina Huttunen-scottsubject
AdolescentLearning DisabilitiesComputer Networks and CommunicationsSpeech recognitionMismatch negativityElectroencephalographyGeneral MedicineIndependent component analysisNoiseAcoustic StimulationAttention Deficit Disorder with HyperactivityEvoked Potentials AuditoryHumansSingle trialChildEvoked PotentialsDigital filterAlgorithmsMathematicsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-08-01 | International Journal of Neural Systems |