000892359 001__ 892359
000892359 005__ 20220930130315.0
000892359 0247_ $$2doi$$a10.1038/s41598-021-85981-1
000892359 0247_ $$2Handle$$a2128/27772
000892359 0247_ $$2altmetric$$aaltmetric:102764385
000892359 0247_ $$2pmid$$a33767208
000892359 0247_ $$2WOS$$aWOS:000635702100012
000892359 037__ $$aFZJ-2021-02020
000892359 082__ $$a600
000892359 1001_ $$0P:(DE-Juel1)172863$$aAmunts, Julia$$b0$$eCorresponding author
000892359 245__ $$aComprehensive verbal fluency features predict executive function performance
000892359 260__ $$a[London]$$bMacmillan Publishers Limited, part of Springer Nature$$c2021
000892359 3367_ $$2DRIVER$$aarticle
000892359 3367_ $$2DataCite$$aOutput Types/Journal article
000892359 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1620730079_29726
000892359 3367_ $$2BibTeX$$aARTICLE
000892359 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000892359 3367_ $$00$$2EndNote$$aJournal Article
000892359 520__ $$aSemantic verbal fluency (sVF) tasks are commonly used in clinical diagnostic batteries as well as in a research context. When performing sVF tasks to assess executive functions (EFs) the sum of correctly produced words is the main measure. Although previous research indicates potentially better insights into EF performance by the use of finer grained sVF information, this has not yet been objectively evaluated. To investigate the potential of employing a finer grained sVF feature set to predict EF performance, healthy monolingual German speaking participants (n = 230) were tested with a comprehensive EF test battery and sVF tasks, from which features including sum scores, error types, speech breaks and semantic relatedness were extracted. A machine learning method was applied to predict EF scores from sVF features in previously unseen subjects. To investigate the predictive power of the advanced sVF feature set, we compared it to the commonly used sum score analysis. Results revealed that 8 / 14 EF tests were predicted significantly using the comprehensive sVF feature set, which outperformed sum scores particularly in predicting cognitive flexibility and inhibitory processes. These findings highlight the predictive potential of a comprehensive evaluation of sVF tasks which might be used as diagnostic screening of EFs.
000892359 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000892359 7001_ $$0P:(DE-Juel1)172024$$aCamilleri, Julia$$b1
000892359 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b2
000892359 7001_ $$0P:(DE-Juel1)172843$$aPatil, Kaustubh$$b3
000892359 7001_ $$0P:(DE-Juel1)131644$$aHeim, Stefan$$b4
000892359 7001_ $$0P:(DE-Juel1)177845$$avon Polier, Georg$$b5
000892359 7001_ $$0P:(DE-Juel1)172811$$aWeis, Susanne$$b6
000892359 773__ $$0PERI:(DE-600)2615211-3$$a10.1038/s41598-021-85981-1$$n1$$p6929$$tScientific reports$$v11$$x2045-2322$$y2021
000892359 8564_ $$uhttps://juser.fz-juelich.de/record/892359/files/Postprint_JAmunts_SciRep2021.pdf$$yOpenAccess
000892359 8564_ $$uhttps://juser.fz-juelich.de/record/892359/files/s41598-021-85981-1.pdf$$yOpenAccess
000892359 8767_ $$8SN-2021-00411-b$$92021-06-18$$d2021-06-21$$eAPC$$jDEAL$$lDEAL: Springer
000892359 909CO $$ooai:juser.fz-juelich.de:892359$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire$$popenCost$$pdnbdelivery
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172863$$aForschungszentrum Jülich$$b0$$kFZJ
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172024$$aForschungszentrum Jülich$$b1$$kFZJ
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b2$$kFZJ
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172843$$aForschungszentrum Jülich$$b3$$kFZJ
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131644$$aForschungszentrum Jülich$$b4$$kFZJ
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177845$$aForschungszentrum Jülich$$b5$$kFZJ
000892359 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172811$$aForschungszentrum Jülich$$b6$$kFZJ
000892359 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
000892359 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
000892359 9141_ $$y2021
000892359 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000892359 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bSCI REP-UK : 2019$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000892359 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2021-02-03
000892359 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-02-03
000892359 920__ $$lyes
000892359 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000892359 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x1
000892359 9801_ $$aFullTexts
000892359 980__ $$ajournal
000892359 980__ $$aVDB
000892359 980__ $$aUNRESTRICTED
000892359 980__ $$aI:(DE-Juel1)INM-1-20090406
000892359 980__ $$aI:(DE-Juel1)INM-7-20090406
000892359 980__ $$aAPC