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Sleep promotes the extraction of grammatical rules

2013-06Journal article Open access
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dc.contributor.authorNieuwenhuis, Ingrid L. C.
dc.contributor.authorFolia, Vasiliki
dc.contributor.authorForkstam, Christian
dc.contributor.authorJensen, Ole
dc.contributor.authorPetersson, Karl Magnus
dc.date.accessioned2018-12-07T14:53:32Z
dc.date.available2018-12-07T14:53:32Z
dc.date.issued2013-06
dc.description.abstractGrammar acquisition is a high level cognitive function that requires the extraction of complex rules. While it has been proposed that offline time might benefit this type of rule extraction, this remains to be tested. Here, we addressed this question using an artificial grammar learning paradigm. During a short-term memory cover task, eighty-one human participants were exposed to letter sequences generated according to an unknown artificial grammar. Following a time delay of 15 min, 12 h (wake or sleep) or 24 h, participants classified novel test sequences as Grammatical or Non-Grammatical. Previous behavioral and functional neuroimaging work has shown that classification can be guided by two distinct underlying processes: (1) the holistic abstraction of the underlying grammar rules and (2) the detection of sequence chunks that appear at varying frequencies during exposure. Here, we show that classification performance improved after sleep. Moreover, this improvement was due to an enhancement of rule abstraction, while the effect of chunk frequency was unaltered by sleep. These findings suggest that sleep plays a critical role in extracting complex structure from separate but related items during integrative memory processing. Our findings stress the importance of alternating periods of learning with sleep in settings in which complex information must be acquired.
dc.description.sponsorshipDutch National Science Foundation [NWO 051-04-100]; Fundacao para a Ciencia e Tecnologia [PTDC/PSI-PCO/110734/2009]; Max Planck Institute for Psycholinguistics; Donders Institute for Brain; Cognition and Behaviour; Vetenskapsradet
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1371/journal.pone.0065046
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10400.1/11556
dc.language.isoeng
dc.peerreviewedyes
dc.publisherPublic Library of Science
dc.rights.urittp://creativecommons.org/licenses/by/4.0/
dc.subjectSlow-wave sleep
dc.subjectMemory consolidation
dc.subjectArtificial grammars
dc.subjectChunk strength
dc.subjectKnowledge
dc.subjectSyntax
dc.subjectClassification
dc.subjectNeurobiology
dc.subjectAbstraction
dc.subjectAcquisition
dc.titleSleep promotes the extraction of grammatical rules
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FPSI-PCO%2F110734%2F2009/PT
oaire.citation.issue6
oaire.citation.startPagee65046
oaire.citation.titlePLoS ONE
oaire.citation.volume8
oaire.fundingStream3599-PPCDT
person.familyNamePetersson
person.givenNameKarl Magnus
person.identifier13089
person.identifier.ciencia-id6D14-B1D1-1532
person.identifier.orcid0000-0002-8245-0392
person.identifier.ridE-8188-2012
person.identifier.scopus-author-id7006470225
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
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relation.isAuthorOfPublication.latestForDiscovery0f437ab3-c630-40ad-963f-13196ad4fbd6
relation.isProjectOfPublication3fb14368-8cf2-4574-ac67-6c35b5550c90
relation.isProjectOfPublication.latestForDiscovery3fb14368-8cf2-4574-ac67-6c35b5550c90

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