001     892372
005     20210623133414.0
024 7 _ |a 10.1016/j.neulet.2021.135811
|2 doi
024 7 _ |a 0304-3940
|2 ISSN
024 7 _ |a 1872-7972
|2 ISSN
024 7 _ |a 2128/27735
|2 Handle
024 7 _ |a 33727129
|2 pmid
024 7 _ |a WOS:000635104700002
|2 WOS
037 _ _ |a FZJ-2021-02033
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Bärmann, J.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a An analysis of the CatWalk XT and a composite score to assess neurofunctional deficits after photothrombosis in mice
260 _ _ |a Amsterdam [u.a.]
|c 2021
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1620220646_3796
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The purpose of this study was to evaluate CatWalk’s capability for assessing the functional outcome after photothrombotic stroke affecting the motor cortex of mice. Mice were tested up to 21 days after photothrombosis or sham surgery using CatWalk, and a composite score assessing functional deficits (neuroscore).The neuroscore demonstrated deficits of the contralateral forelimb for more than two weeks after stroke. There were no asymmetric or coordinative dysfunctions of limbs detected by CatWalk. However, CatWalk data revealed impairment of locomotion speed and its depending parameters for one-week after stroke in strong correlation to the neuroscore.Data suggest that the composite neuroscore allows to more sensitively and precisely specify and quantify photothrombosis-induced hemisyndromes than CatWalk.
536 _ _ |a 525 - Decoding Brain Organization and Dysfunction (POF4-525)
|0 G:(DE-HGF)POF4-525
|c POF4-525
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Walter, H. L.
|0 P:(DE-Juel1)129417
|b 1
700 1 _ |a Pikhovych, A.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Endepols, H.
|0 P:(DE-Juel1)180330
|b 3
|u fzj
700 1 _ |a Fink, G. R.
|0 P:(DE-Juel1)131720
|b 4
|u fzj
700 1 _ |a Rueger, M. A.
|0 0000-0001-8036-395X
|b 5
700 1 _ |a Schroeter, M.
|0 0000-0001-8441-4793
|b 6
|e Corresponding author
773 _ _ |a 10.1016/j.neulet.2021.135811
|g Vol. 751, p. 135811 -
|0 PERI:(DE-600)1498535-4
|p 135811 -
|t Neuroscience letters
|v 751
|y 2021
|x 0304-3940
856 4 _ |u https://juser.fz-juelich.de/record/892372/files/B%C3%A4rmann_2021_Lab%20Anim_An%20analysis%20of%20the%20CatWalk....pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:892372
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)180330
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)131720
913 0 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v (Dys-)function and Plasticity
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2021-02-03
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEUROSCI LETT : 2019
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2021-02-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-02-03
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2021-02-03
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-03
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2021-02-03
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-02-03
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 0
920 1 _ |0 I:(DE-Juel1)INM-5-20090406
|k INM-5
|l Nuklearchemie
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-3-20090406
980 _ _ |a I:(DE-Juel1)INM-5-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21