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dc.contributor.authorHämäläinen, Jarmo
dc.contributor.authorParviainen, Tiina
dc.contributor.authorHsu, Yi-Fang
dc.contributor.authorSalmelin, Riitta
dc.date.accessioned2019-04-08T08:27:31Z
dc.date.available2020-09-28T21:35:07Z
dc.date.issued2019
dc.identifier.citationHämäläinen, J., Parviainen, T., Hsu, Y.-F., & Salmelin, R. (2019). Dynamics of brain activation during learning of syllable-symbol paired associations. <i>Neuropsychologia</i>, <i>129</i>, 93-103. <a href="https://doi.org/10.1016/j.neuropsychologia.2019.03.016" target="_blank">https://doi.org/10.1016/j.neuropsychologia.2019.03.016</a>
dc.identifier.otherCONVID_28998889
dc.identifier.otherTUTKAID_81114
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/63422
dc.description.abstractInitial stages of reading acquisition require the learning of letter and speech sound combinations. While the long-term effects of audio-visual learning are rather well studied, relatively little is known about the short-term learning effects at the brain level. Here we examined the cortical dynamics of short-term learning using magnetoencephalography (MEG) and electroencephalography (EEG) in two experiments that respectively addressed active and passive learning of the association between shown symbols and heard syllables. In experiment 1, learning was based on feedback provided after each trial. The learning of the audio-visual associations was contrasted with items for which the feedback was meaningless. In experiment 2, learning was based on statistical learning through passive exposure to audio-visual stimuli that were consistently presented with each other and contrasted with audio-visual stimuli that were randomly paired with each other. After 5–10 min of training and exposure, learning-related changes emerged in neural activation around 200 and 350 ms in the two experiments. The MEG results showed activity changes at 350 ms in caudal middle frontal cortex and posterior superior temporal sulcus, and at 500 ms in temporo-occipital cortex. Changes in brain activity coincided with a decrease in reaction times and an increase in accuracy scores. Changes in EEG activity were observed starting at the auditory P2 response followed by later changes after 300 ms. The results show that the short-term learning effects emerge rapidly (manifesting in later stages of audio-visual integration processes) and that these effects are modulated by selective attention processes.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherPergamon Press
dc.relation.ispartofseriesNeuropsychologia
dc.rightsCC BY-NC-ND 4.0
dc.subject.otheraudio-visual
dc.subject.otheralectroencephalography
dc.subject.othermagnetoencephalography
dc.titleDynamics of brain activation during learning of syllable-symbol paired associations
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201904032062
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-04-03T12:15:06Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange93-103
dc.relation.issn0028-3932
dc.relation.numberinseries0
dc.relation.volume129
dc.type.versionacceptedVersion
dc.rights.copyright© 2019 Elsevier Ltd.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber292466
dc.relation.grantnumber641652
dc.relation.grantnumber641652
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/641652/EU//ChildBrain
dc.subject.ysolukeminen
dc.subject.ysoEEG
dc.subject.ysoMEG
dc.subject.ysoaudiovisuaalinen aineisto
dc.subject.ysooppiminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p11406
jyx.subject.urihttp://www.yso.fi/onto/yso/p3328
jyx.subject.urihttp://www.yso.fi/onto/yso/p3329
jyx.subject.urihttp://www.yso.fi/onto/yso/p6545
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.neuropsychologia.2019.03.016
dc.relation.funderSuomen Akatemiafi
dc.relation.funderEuroopan komissiofi
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuropean Commissionen
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramMSCA Marie Skłodowska-Curie Actions, H2020fi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramMSCA Marie Skłodowska-Curie Actions, H2020en
jyx.fundinginformationThis work was supported by the Academy of Finland (profiling action ‘MultiLeTe’ grant number #292466; personal grants #255349, #256459, #283071 and #315553 to RS), the European Union H2020 MSCA-ITN-2014-ETN Programme, “Advancing brain research in children's developmental neurocognitive disorders” -project (ChildBrain, grant number 641652), Taiwan Ministry of Science and Technology (grant number MOST105-2410-H-003-145-MY3 and MOST107-2636-H-003-001 to YFH), and Sigrid Jusélius Foundation funding (to RS). The authors declare no competing financial or other interests.
dc.type.okmA1


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