dc.contributor.author | Kolozsvári, Orsolya B | |
dc.contributor.author | Xu, Weiyong | |
dc.contributor.author | Gerike, Georgia | |
dc.contributor.author | Parviainen, Tiina | |
dc.contributor.author | Nieminen, Lea | |
dc.contributor.author | Noiray, Aude | |
dc.contributor.author | Hämäläinen, Jarmo A | |
dc.date.accessioned | 2021-05-12T08:29:10Z | |
dc.date.available | 2021-05-12T08:29:10Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Kolozsvári, O. B., Xu, W., Gerike, G., Parviainen, T., Nieminen, L., Noiray, A., & Hämäläinen, J. A. (2021). Coherence between brain activation and speech envelope at word and sentence levels showed age-related differences in low frequency bands. <i>Neurobiology of Language</i>, <i>2</i>(2), 226-253. <a href="https://doi.org/10.1162/nol_a_00033" target="_blank">https://doi.org/10.1162/nol_a_00033</a> | |
dc.identifier.other | CONVID_51849493 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/75482 | |
dc.description.abstract | Speech perception is dynamic and shows changes across development. In parallel, functional differences in brain development over time have been well documented and these differences may interact with changes in speech perception during infancy and childhood. Further, there is evidence that the two hemispheres contribute unequally to speech segmentation at the sentence and phonemic levels.
To disentangle those contributions, we studied the cortical tracking of various sized units of speech that are crucial for spoken language processing in children (4.7-9.3 year-olds, N=34) and adults (N=19). We measured participants’ magnetoencephalogram (MEG) responses to syllables, words and sentences, calculated the coherence between the speech signal and MEG responses at the level of words and sentences, and further examined auditory evoked responses to syllables. Age-related differences were found for coherence values at the delta and theta frequency bands. Both frequency bands showed an effect of stimulus type, although this was attributed to the length of the stimulus and not linguistic unit size. There was no difference between hemispheres at the source level either in coherence values for word or sentence processing or in evoked response to syllables.
Results highlight the importance of the lower frequencies for speech tracking in the brain across different lexical units. Further, stimulus length affects the speech-brain associations suggesting methodological approaches should be selected carefully when studying speech envelope processing at the neural level. Speech tracking in the brain seems decoupled from more general maturation of the auditory cortex. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | MIT Press | |
dc.relation.ispartofseries | Neurobiology of Language | |
dc.rights | CC BY 4.0 | |
dc.subject.other | speech perception | |
dc.subject.other | development | |
dc.subject.other | magnetoencephalography | |
dc.subject.other | speech tracking | |
dc.subject.other | coherence | |
dc.subject.other | auditory responses | |
dc.title | Coherence between brain activation and speech envelope at word and sentence levels showed age-related differences in low frequency bands | |
dc.type | research article | |
dc.identifier.urn | URN:NBN:fi:jyu-202105122760 | |
dc.contributor.laitos | Soveltavan kielentutkimuksen keskus | fi |
dc.contributor.laitos | Psykologian laitos | fi |
dc.contributor.laitos | Centre for Applied Language Studies | en |
dc.contributor.laitos | Department of Psychology | en |
dc.contributor.oppiaine | Psykologia | fi |
dc.contributor.oppiaine | Monitieteinen aivotutkimuskeskus | fi |
dc.contributor.oppiaine | Hyvinvoinnin tutkimuksen yhteisö | fi |
dc.contributor.oppiaine | Psychology | en |
dc.contributor.oppiaine | Centre for Interdisciplinary Brain Research | en |
dc.contributor.oppiaine | School of Wellbeing | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 226-253 | |
dc.relation.issn | 2641-4368 | |
dc.relation.numberinseries | 2 | |
dc.relation.volume | 2 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2021 Massachusetts Institute of Technology | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | article | |
dc.relation.grantnumber | 641858 | |
dc.relation.grantnumber | 641858 | |
dc.relation.grantnumber | 292466 | |
dc.relation.grantnumber | 641652 | |
dc.relation.grantnumber | 641652 | |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/641858/EU//PREDICTABLE | |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/641652/EU//ChildBrain | |
dc.subject.yso | MEG | |
dc.subject.yso | kuulohavainnot | |
dc.subject.yso | puhe (puhuminen) | |
dc.subject.yso | kielellinen kehitys | |
dc.subject.yso | havaintopsykologia | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3329 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p23127 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p2492 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p10162 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p4033 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.1162/nol_a_00033 | |
dc.relation.funder | European Commission | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | European Commission | en |
dc.relation.funder | Euroopan komissio | fi |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Euroopan komissio | fi |
jyx.fundingprogram | MSCA Marie Skłodowska-Curie Actions, H2020 | en |
jyx.fundingprogram | Research profiles, AoF | en |
jyx.fundingprogram | MSCA Marie Skłodowska-Curie Actions, H2020 | en |
jyx.fundingprogram | MSCA Marie Skłodowska-Curie Actions, H2020 | fi |
jyx.fundingprogram | Profilointi, SA | fi |
jyx.fundingprogram | MSCA Marie Skłodowska-Curie Actions, H2020 | fi |
jyx.fundinginformation | This work has been supported by the European Union projects Predictable (Marie Curie Innovative Training Networks, # 641858), ChildBrain (Marie Curie Innovative Training Networks, # 641652) and the Academy of Finland (MultiLeTe #292 466). | |
dc.type.okm | A1 | |