001     861755
005     20210130001017.0
024 7 _ |a 10.1136/jnnp-2017-316964
|2 doi
024 7 _ |a 0022-3050
|2 ISSN
024 7 _ |a 0266-8637
|2 ISSN
024 7 _ |a 0368-329X
|2 ISSN
024 7 _ |a 1468-330X
|2 ISSN
024 7 _ |a 2128/22021
|2 Handle
024 7 _ |a pmid:29279305
|2 pmid
024 7 _ |a WOS:000438056200117
|2 WOS
024 7 _ |a altmetric:30939979
|2 altmetric
037 _ _ |a FZJ-2019-02183
082 _ _ |a 610
100 1 _ |a Tanguy Melac, Audrey
|b 0
245 _ _ |a Friedreich and dominant ataxias: quantitative differences in cerebellar dysfunction measurements
260 _ _ |a London
|c 2018
|b BMJ Publishing Group
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 1554290449_3488
|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 Background Sensitive outcome measures for clinical trials on cerebellar ataxias are lacking. Most cerebellar ataxias progress very slowly and quantitative measurements are required to evaluate cerebellar dysfunction.Methods We evaluated two scales for rating cerebellar ataxias: the Composite Cerebellar Functional Severity (CCFS) Scale and Scale for the Assessment and Rating of Ataxia (SARA), in patients with spinocerebellar ataxia (SCA) and controls. We evaluated these scales for different diseases and investigated the factors governing the scores obtained. All patients were recruited prospectively.Results There were 383 patients with Friedreich’s ataxia (FRDA), 205 patients with SCA and 168 controls. In FRDA, 31% of the variance of cerebellar signs with the CCFS and 41% of that with SARA were explained by disease duration, age at onset and the shorter abnormal repeat in the FXN gene. Increases in CCFS and SARA scores per year were lower for FRDA than for SCA (CCFS index: 0.123±0.123 per year vs 0.163±0.179, P<0.001; SARA index: 1.5±1.2 vs 1.7±1.7, P<0.001), indicating slower cerebellar dysfunction indexes for FRDA than for SCA. Patients with SCA2 had higher CCFS scores than patients with SCA1 and SCA3, but similar SARA scores.Conclusions Cerebellar dysfunction, as measured with the CCFS and SARA scales, was more severe in FRDA than in patients with SCA, but with lower progression indexes, within the limits of these types of indexes. Ceiling effects may occur at late stages, for both scales. The CCFS scale is rater-independent and could be used in a multicentre context, as it is simple, rapid and fully automated.
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Mariotti, Caterina
|b 1
700 1 _ |a Filipovic Pierucci, Antoine
|b 2
700 1 _ |a Giunti, Paola
|b 3
700 1 _ |a Arpa, Javier
|b 4
700 1 _ |a Boesch, Sylvia
|b 5
700 1 _ |a Klopstock, Thomas
|b 6
700 1 _ |a Müller vom Hagen, Jennifer
|b 7
700 1 _ |a Klockgether, Thomas
|b 8
700 1 _ |a Bürk, Katrin
|b 9
700 1 _ |a Schulz, Jörg B
|b 10
700 1 _ |a Reetz, Kathrin
|0 P:(DE-Juel1)177889
|b 11
|u fzj
700 1 _ |a Pandolfo, Massimo
|b 12
700 1 _ |a Durr, Alexandra
|b 13
700 1 _ |a Tezenas du Montcel, Sophie
|0 0000-0002-2866-4330
|b 14
|e Corresponding author
773 _ _ |a 10.1136/jnnp-2017-316964
|g Vol. 89, no. 6, p. 559 - 565
|0 PERI:(DE-600)1480429-3
|n 6
|p 559 - 565
|t Journal of neurology, neurosurgery, and psychiatry
|v 89
|y 2018
|x 1468-330X
856 4 _ |y Published on 2017-12-26. Available in OpenAccess from 2019-06-26.
|u https://juser.fz-juelich.de/record/861755/files/559.full.pdf
856 4 _ |y Published on 2017-12-26. Available in OpenAccess from 2019-06-26.
|x pdfa
|u https://juser.fz-juelich.de/record/861755/files/559.full.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:861755
|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 11
|6 P:(DE-Juel1)177889
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|2 G:(DE-HGF)POF3-500
|v (Dys-)function and Plasticity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2019
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J NEUROL NEUROSUR PS : 2017
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b J NEUROL NEUROSUR PS : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a Allianz-Lizenz
|0 StatID:(DE-HGF)0410
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-11-20170113
|k INM-11
|l Jara-Institut Quantum Information
|x 0
920 1 _ |0 I:(DE-82)080010_20140620
|k JARA-BRAIN
|l JARA-BRAIN
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-11-20170113
980 _ _ |a I:(DE-82)080010_20140620
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21