Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP-PCA and CSD-PCA

Pantsar, Riikka

dc.contributor.author	Pantsar, Riikka
dc.date.accessioned	2008-05-29T09:26:36Z
dc.date.available	2008-05-29T09:26:36Z
dc.date.issued	2008
dc.identifier.other	oai:jykdok.linneanet.fi:1058973
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/18379
dc.format.extent	31 sivua
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.rights	This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.	en
dc.rights	Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.	fi
dc.subject.other	Event-related potential (ERP)
dc.subject.other	Principal component analysis (PCA)
dc.subject.other	Current source density (CSD)
dc.subject.other	children
dc.subject.other	N1
dc.subject.other	N250
dc.subject.other	Inter-stimulus-interval (ISI)
dc.title	Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP-PCA and CSD-PCA
dc.identifier.urn	URN:NBN:fi:jyu-200805081451
dc.type.dcmitype	Text	en
dc.type.ontasot	Pro gradu -tutkielma	fi
dc.type.ontasot	Master’s thesis	en
dc.contributor.tiedekunta	Yhteiskuntatieteellinen tiedekunta	fi
dc.contributor.tiedekunta	Faculty of Social Sciences	en
dc.contributor.laitos	Psykologian laitos	fi
dc.contributor.laitos	Department of Psychology	en
dc.contributor.yliopisto	University of Jyväskylä	en
dc.contributor.yliopisto	Jyväskylän yliopisto	fi
dc.contributor.oppiaine	Psykologia	fi
dc.contributor.oppiaine	Psychology	en
dc.rights.accesslevel	openAccess	fi
dc.type.publication	masterThesis
dc.contributor.oppiainekoodi	202
dc.format.content	fulltext
dc.type.okm	G2

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Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP-PCA and CSD-PCA

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Samankaltainen aineisto

Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data ﻿

Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject ﻿

Event-related potentials to tones show differences between children with multiple risk factors for dyslexia and control children before the onset of formal reading instruction ﻿

Attentional Processes in Children With Attentional Problems or Reading Difficulties as Revealed Using Brain Event-Related Potentials and Their Source Localization ﻿

Responsivity to dyslexia training indexed by the N170 amplitude of the brain potential elicited by word reading ﻿

Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data

Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject

Event-related potentials to tones show differences between children with multiple risk factors for dyslexia and control children before the onset of formal reading instruction

Attentional Processes in Children With Attentional Problems or Reading Difficulties as Revealed Using Brain Event-Related Potentials and Their Source Localization

Responsivity to dyslexia training indexed by the N170 amplitude of the brain potential elicited by word reading