000889141 001__ 889141
000889141 005__ 20220930130302.0
000889141 0247_ $$2doi$$a10.1016/j.jneuroling.2020.100982
000889141 0247_ $$2ISSN$$a0911-6044
000889141 0247_ $$2ISSN$$a1873-8052
000889141 0247_ $$2Handle$$a2128/27092
000889141 0247_ $$2altmetric$$aaltmetric:97364553
000889141 0247_ $$2WOS$$aWOS:000623538300016
000889141 037__ $$aFZJ-2021-00066
000889141 082__ $$a400
000889141 1001_ $$0P:(DE-Juel1)145649$$aGrodzinsky, Yosef$$b0$$eCorresponding author
000889141 245__ $$aA linguistic complexity pattern that defies aging: The processing of multiple negations
000889141 260__ $$aNew York, NY [u.a.]$$bElsevier$$c2021
000889141 3367_ $$2DRIVER$$aarticle
000889141 3367_ $$2DataCite$$aOutput Types/Journal article
000889141 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1613057763_4127
000889141 3367_ $$2BibTeX$$aARTICLE
000889141 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000889141 3367_ $$00$$2EndNote$$aJournal Article
000889141 520__ $$aWe know that linguistic ability tends to diminish in aging. The question we addressed was whether it is selectively affected, and if so, whether aging affects sentence processing in the same way it affects other cognitive abilities. To this end, we conducted a fine-grained investigation into a critical aspect of sentences – the number of negations they contain. We studied the processing costs of multiple negations in a cross-sectional design with 105 healthy aging participants who performed a truth-value judgement task. Quantifier-containing sentences with 0, 1 or 2 negations were juxtaposed to images with arrays of blue and yellow circles. This design enabled us to assess the cost of negation from a novel perspective. In parallel, we tested these participants on standard measures of cognitive aging.In addition to the typical slowing caused by aging, and by an added negation, we found that aging effects were restricted: they did not accumulate with the number of negations. Rather, processing speed in the conditions with one negation (negative statements) were affected by aging, whereas it was unaffected in conditions with an even number (zero/two) of negations (positive statements). We conclude that aging affects negation processing in a manner determined by its total negativity value of a sentence (a k a monotonicity), not the number of negations it contains. Our findings challenge both the idea of global incremental processing-cost, and of non-specific cognitive slowing in aging. That is, the cost of processing, as well as the course of the aging of the sentence processor are constrained by highly specific linguistic considerations.
000889141 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000889141 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000889141 536__ $$0G:(EU-Grant)720270$$aHBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270)$$c720270$$fH2020-Adhoc-2014-20$$x2
000889141 588__ $$aDataset connected to CrossRef
000889141 7001_ $$0P:(DE-HGF)0$$aBehrent, Kim$$b1
000889141 7001_ $$0P:(DE-HGF)0$$aAgmon, Galit$$b2
000889141 7001_ $$0P:(DE-Juel1)166110$$aBittner, Nora$$b3$$ufzj
000889141 7001_ $$0P:(DE-Juel1)145386$$aJockwitz, Christiane$$b4$$ufzj
000889141 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b5$$ufzj
000889141 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b6$$ufzj
000889141 7001_ $$0P:(DE-Juel1)131644$$aHeim, Stefan$$b7$$ufzj
000889141 773__ $$0PERI:(DE-600)1480525-x$$a10.1016/j.jneuroling.2020.100982$$gVol. 58, p. 100982 -$$p100982 -$$tJournal of neurolinguistics$$v58$$x0911-6044$$y2021
000889141 8564_ $$uhttps://juser.fz-juelich.de/record/889141/files/Invoice_OAD0000092876.pdf
000889141 8564_ $$uhttps://juser.fz-juelich.de/record/889141/files/1-s2.0-S0911604420301421-main.pdf$$yOpenAccess
000889141 8767_ $$8OAD0000092876$$92021-01-06$$d2021-01-08$$eHybrid-OA$$jZahlung erfolgt$$pS0911604420301421$$zBelegnummer 1200161851
000889141 909CO $$ooai:juser.fz-juelich.de:889141$$popenCost$$pec_fundedresources$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire$$pdnbdelivery
000889141 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-HGF)0$$aForschungszentrum Jülich$$b1$$kFZJ
000889141 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)166110$$aForschungszentrum Jülich$$b3$$kFZJ
000889141 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145386$$aForschungszentrum Jülich$$b4$$kFZJ
000889141 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131675$$aForschungszentrum Jülich$$b5$$kFZJ
000889141 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b6$$kFZJ
000889141 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131644$$aForschungszentrum Jülich$$b7$$kFZJ
000889141 9130_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
000889141 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000889141 9141_ $$y2021
000889141 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2020-10-13
000889141 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000889141 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ NEUROLINGUIST : 2018$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000889141 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-10-13
000889141 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-10-13$$wger
000889141 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-10-13
000889141 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000889141 980__ $$ajournal
000889141 980__ $$aVDB
000889141 980__ $$aI:(DE-Juel1)INM-1-20090406
000889141 980__ $$aAPC
000889141 980__ $$aUNRESTRICTED
000889141 9801_ $$aAPC
000889141 9801_ $$aFullTexts