Hauptseite > Publikationsdatenbank > Effect of meaning on apraxic finger imitation deficits > print

001     281523
005     20220930130056.0
024 7 _ |a 10.1016/j.neuropsychologia.2015.12.022
|2 doi
024 7 _ |a 0028-3932
|2 ISSN
024 7 _ |a 1873-3514
|2 ISSN
024 7 _ |a WOS:000370903800008
|2 WOS
024 7 _ |a altmetric:4946168
|2 altmetric
024 7 _ |a pmid:26721762
|2 pmid
037 _ _ |a FZJ-2016-01212
082 _ _ |a 610
100 1 _ |0 P:(DE-HGF)0
|a Achilles, E. I. S.
|b 0
|e Corresponding author
245 _ _ |a Effect of meaning on apraxic finger imitation deficits
260 _ _ |a Amsterdam [u.a.]
|b Elsevier Science
|c 2016
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
|s 1455007038_7283
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |2 DRIVER
|a article
520 _ _ |a Apraxia typically results from left-hemispheric (LH), but also from right-hemispheric (RH) stroke, and often impairs gesture imitation. Especially in LH stroke, it is important to differentiate apraxia-induced gesture imitation deficits from those due to co-morbid aphasia and associated semantic deficits, possibly influencing the imitation of meaningful (MF) gestures. To explore this issue, we first investigated if the 10 supposedly meaningless (ML) gestures of a widely used finger imitation test really carry no meaning, or if the test also contains MF gestures, by asking healthy subjects (n=45) to classify these gestures as MF or ML. Most healthy subjects (98%) classified three of the 10 gestures as clearly MF. Only two gestures were considered predominantly ML.We next assessed how imitation in stroke patients (255 LH, 113 RH stroke) is influenced by gesture meaning and how aphasia influences imitation of LH stroke patients (n=208). All patients and especially patients with imitation deficits (17% of LH, 27% of RH stroke patients) imitated MF gestures significantly better than ML gestures. Importantly, meaningfulness-scores of all 10 gestures significantly predicted imitation scores of patients with imitation deficits. Furthermore, especially in LH stroke patients with imitation deficits, the severity of aphasia significantly influenced the imitation of MF, but not ML gestures.Our findings in a large patient cohort support current cognitive models of imitation and strongly suggest that ML gestures are particularly sensitive to detect imitation deficits while minimising confounding effects of aphasia which affect the imitation of MF gestures in LH stroke patients.
536 _ _ |0 G:(DE-HGF)POF3-572
|a 572 - (Dys-)function and Plasticity (POF3-572)
|c POF3-572
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |0 P:(DE-Juel1)131720
|a Fink, G. R.
|b 1
|u fzj
700 1 _ |0 P:(DE-HGF)0
|a Fischer, M. H.
|b 2
700 1 _ |0 P:(DE-Juel1)131718
|a Dovern, A.
|b 3
|u fzj
700 1 _ |0 P:(DE-HGF)0
|a Held, A.
|b 4
700 1 _ |0 P:(DE-Juel1)145382
|a Timpert, D. C.
|b 5
700 1 _ |0 P:(DE-HGF)0
|a Schroeter, C.
|b 6
700 1 _ |0 P:(DE-HGF)0
|a Schuetz, K.
|b 7
700 1 _ |0 P:(DE-HGF)0
|a Kloetzsch, C.
|b 8
700 1 _ |0 P:(DE-HGF)0
|a Weiss, P. H.
|b 9
773 _ _ |0 PERI:(DE-600)1500656-6
|a 10.1016/j.neuropsychologia.2015.12.022
|g Vol. 82, p. 74 - 83
|p 74 - 83
|t Neuropsychologia
|v 82
|x 0028-3932
|y 2016
856 4 _ |u https://juser.fz-juelich.de/record/281523/files/1-s2.0-S0028393215302621-main.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/281523/files/1-s2.0-S0028393215302621-main.gif?subformat=icon
|x icon
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/281523/files/1-s2.0-S0028393215302621-main.jpg?subformat=icon-1440
|x icon-1440
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/281523/files/1-s2.0-S0028393215302621-main.jpg?subformat=icon-180
|x icon-180
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/281523/files/1-s2.0-S0028393215302621-main.jpg?subformat=icon-640
|x icon-640
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/281523/files/1-s2.0-S0028393215302621-main.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:281523
|p VDB
|p OpenAPC
|p openCost
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)131720
|a Forschungszentrum Jülich GmbH
|b 1
|k FZJ
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)131718
|a Forschungszentrum Jülich GmbH
|b 3
|k FZJ
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-HGF)0
|a Forschungszentrum Jülich GmbH
|b 9
|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-572
|1 G:(DE-HGF)POF3-570
|2 G:(DE-HGF)POF3-500
|a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|v (Dys-)function and Plasticity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2016
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
915 _ _ |0 StatID:(DE-HGF)0130
|2 StatID
|a DBCoverage
|b Social Sciences Citation Index
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b NEUROPSYCHOLOGIA : 2014
915 _ _ |0 StatID:(DE-HGF)1030
|2 StatID
|a DBCoverage
|b Current Contents - Life Sciences
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
915 _ _ |0 StatID:(DE-HGF)0110
|2 StatID
|a WoS
|b Science Citation Index
915 _ _ |0 StatID:(DE-HGF)0111
|2 StatID
|a WoS
|b Science Citation Index Expanded
915 _ _ |0 StatID:(DE-HGF)9900
|2 StatID
|a IF < 5
915 _ _ |0 StatID:(DE-HGF)0550
|2 StatID
|a No Authors Fulltext
915 _ _ |0 StatID:(DE-HGF)0310
|2 StatID
|a DBCoverage
|b NCBI Molecular Biology Database
915 _ _ |0 StatID:(DE-HGF)1050
|2 StatID
|a DBCoverage
|b BIOSIS Previews
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
915 _ _ |0 StatID:(DE-HGF)1020
|2 StatID
|a DBCoverage
|b Current Contents - Social and Behavioral Sciences
915 _ _ |0 StatID:(DE-HGF)0420
|2 StatID
|a Nationallizenz
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Thomson Reuters Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-3-20090406
980 _ _ |a APC

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21