001     907293
005     20230123110614.0
024 7 _ |a 10.1016/j.cortex.2022.03.009
|2 doi
024 7 _ |a 0010-9452
|2 ISSN
024 7 _ |a 1973-8102
|2 ISSN
024 7 _ |a 2128/31051
|2 Handle
024 7 _ |a altmetric:126937509
|2 altmetric
024 7 _ |a pmid:35439717
|2 pmid
024 7 _ |a WOS:000797255700003
|2 WOS
037 _ _ |a FZJ-2022-01944
082 _ _ |a 610
100 1 _ |a Pieperhoff, Peter
|0 P:(DE-Juel1)131666
|b 0
|e Corresponding author
245 _ _ |a Regional changes of brain structure during progression of idiopathic Parkinson's disease – A longitudinal study using deformation based morphometry
260 _ _ |a New York, NY
|c 2022
|b Elsevier
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 1652674339_19418
|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 Idiopathic Parkinson's disease (PD) is a neurodegenerative disorder with a broad spectrum of motor and non-motor symptoms. The neuropathological characteristics of idiopathic PD are the degeneration of dopaminergic neurons in the striatum, and the propagation of aggregates of misfolded α-synuclein in the brain following a specific pattern (Braak et al., 2006). The relationship of this pattern with motor and cognitive symptoms is still equivocal. Therefore, we investigated longitudinally the spatio-temporal patterns of atrophy propagation in PD, their inter-individual variability and associations with clinical symptoms. Magnetic resonance (MR) images of 37 PD patients and 27 controls were acquired at up to 15 time-points per subject, and over observation periods of up to 8.8 years (mean: 3.7 years). MR images were analyzed by Deformation-based Morphometry to measure region volumes and their longitudinal changes. Differences of these regional volume data between patients and controls and their associations with clinical symptoms were calculated.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|f H2020-SGA-FETFLAG-HBP-2019
|x 1
536 _ _ |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)
|0 G:(EU-Grant)785907
|c 785907
|f H2020-SGA-FETFLAG-HBP-2017
|x 2
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Südmeyer, Martin
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Dinkelbach, Lars
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Hartmann, Christian J.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Ferrea, Stefano
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Moldovan, Alexia S.
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Minnerop, Martina
|0 P:(DE-Juel1)131622
|b 6
|u fzj
700 1 _ |a Diaz-Pier, Sandra
|0 P:(DE-Juel1)165859
|b 7
700 1 _ |a Schnitzler, Alfons
|0 0000-0002-6414-7939
|b 8
700 1 _ |a Amunts, Katrin
|0 P:(DE-Juel1)131631
|b 9
|u fzj
773 _ _ |a 10.1016/j.cortex.2022.03.009
|g Vol. 151, p. 188 - 210
|0 PERI:(DE-600)2080335-7
|p 188 - 210
|t Cortex
|v 151
|y 2022
|x 0010-9452
856 4 _ |u https://juser.fz-juelich.de/record/907293/files/Invoice_OAD0000200652.pdf
856 4 _ |u https://juser.fz-juelich.de/record/907293/files/Pieperhoff_et%20al_Cortex_2022.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:907293
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p ec_fundedresources
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)131666
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)131622
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)165859
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)131631
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
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-04
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-04
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-04
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1180
|2 StatID
|b Current Contents - Social and Behavioral Sciences
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0130
|2 StatID
|b Social Sciences Citation Index
|d 2022-11-25
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CORTEX : 2021
|d 2022-11-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-25
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-25
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21