Näytä suppeat kuvailutiedot

dc.contributor.authorKujala, Miiamaaria V.
dc.contributor.authorKauppi, Jukka-Pekka
dc.contributor.authorTörnqvist, Heini
dc.contributor.authorHelle, Liisa
dc.contributor.authorVainio, Outi
dc.contributor.authorKujala, Jan
dc.contributor.authorParkkonen, Lauri
dc.date.accessioned2020-11-24T09:41:12Z
dc.date.available2020-11-24T09:41:12Z
dc.date.issued2020
dc.identifier.citationKujala, M. V., Kauppi, J.-P., Törnqvist, H., Helle, L., Vainio, O., Kujala, J., & Parkkonen, L. (2020). Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion. <i>Scientific Reports</i>, <i>10</i>, Article 19846. <a href="https://doi.org/10.1038/s41598-020-76806-8" target="_blank">https://doi.org/10.1038/s41598-020-76806-8</a>
dc.identifier.otherCONVID_47056731
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/72757
dc.description.abstractDogs process faces and emotional expressions much like humans, but the time windows important for face processing in dogs are largely unknown. By combining our non-invasive electroencephalography (EEG) protocol on dogs with machine-learning algorithms, we show category-specific dog brain responses to pictures of human and dog facial expressions, objects, and phase-scrambled faces. We trained a support vector machine classifier with spatiotemporal EEG data to discriminate between responses to pairs of images. The classification accuracy was highest for humans or dogs vs. scrambled images, with most informative time intervals of 100–140 ms and 240–280 ms. We also detected a response sensitive to threatening dog faces at 30–40 ms; generally, responses differentiating emotional expressions were found at 130–170 ms, and differentiation of faces from objects occurred at 120–130 ms. The cortical sources underlying the highest-amplitude EEG signals were localized to the dog visual cortex.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.ispartofseriesScientific Reports
dc.rightsCC BY 4.0
dc.subject.otheranimal behaviour
dc.subject.otheranimal physiology
dc.subject.otherbehavioural methods
dc.subject.otherelectroencephalography – EEG
dc.subject.otheremotion
dc.subject.otherneural decoding
dc.subject.otherperception
dc.subject.othersocial behaviour
dc.subject.othersocial evolution
dc.titleTime-resolved classification of dog brain signals reveals early processing of faces, species and emotion
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202011246729
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.laitosFaculty of Information Technologyen
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.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2045-2322
dc.relation.volume10
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber286019
dc.subject.ysotunteet
dc.subject.ysohavaitseminen
dc.subject.ysososiaalinen käyttäytyminen
dc.subject.ysokoira
dc.subject.ysoevoluutio
dc.subject.ysoeläinten käyttäytyminen
dc.subject.ysoEEG
dc.subject.ysoihminen-eläinsuhde
dc.subject.ysovertaileva psykologia
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3485
jyx.subject.urihttp://www.yso.fi/onto/yso/p5293
jyx.subject.urihttp://www.yso.fi/onto/yso/p7139
jyx.subject.urihttp://www.yso.fi/onto/yso/p5319
jyx.subject.urihttp://www.yso.fi/onto/yso/p8278
jyx.subject.urihttp://www.yso.fi/onto/yso/p18481
jyx.subject.urihttp://www.yso.fi/onto/yso/p3328
jyx.subject.urihttp://www.yso.fi/onto/yso/p28227
jyx.subject.urihttp://www.yso.fi/onto/yso/p38230
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1038/s41598-020-76806-8
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramPostdoctoral Researcher, AoFen
jyx.fundingprogramTutkijatohtori, SAfi
jyx.fundinginformationThis study was financially supported by the BRAHE neuroscience consortium between Aalto University and the University of Helsinki, Emil Aaltonen foundation (project #160121 to MVK), Biocentrum Helsinki (to MVK and LH), Academy of Finland (project #137931 to OV and project #286019 to JPK).
dc.type.okmA1


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