000888852 001__ 888852
000888852 005__ 20220223143403.0
000888852 0247_ $$2doi$$a10.1093/sleep/zsaa199
000888852 0247_ $$2ISSN$$a0161-8105
000888852 0247_ $$2ISSN$$a1550-9109
000888852 0247_ $$2Handle$$a2128/27401
000888852 0247_ $$2altmetric$$aaltmetric:91281677
000888852 0247_ $$2pmid$$a32974664
000888852 0247_ $$2WOS$$aWOS:000649380100016
000888852 037__ $$aFZJ-2020-05266
000888852 082__ $$a610
000888852 1001_ $$00000-0002-2348-7064$$aHoltbernd, Florian$$b0
000888852 245__ $$aConvergent patterns of structural brain changes in rapid eye movement sleep behavior disorder and Parkinson’s disease on behalf of the German rapid eye movement sleep behavior disorder study group
000888852 260__ $$aOxford$$bOxford Univ. Press$$c2021
000888852 3367_ $$2DRIVER$$aarticle
000888852 3367_ $$2DataCite$$aOutput Types/Journal article
000888852 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1645541052_17118
000888852 3367_ $$2BibTeX$$aARTICLE
000888852 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000888852 3367_ $$00$$2EndNote$$aJournal Article
000888852 520__ $$aStudy ObjectivesRapid eye movement sleep behavior disorder (RBD) is considered a prodromal state of Parkinson’s disease (PD). We aimed to characterize patterns of structural brain changes in RBD and PD patients using multimodal MRI.MethodsA total of 30 patients with isolated RBD, 29 patients with PD, and 56 age-matched healthy controls (HC) underwent MRI at 3T, including tensor-based morphometry, diffusion tensor imaging, and assessment of cortical thickness.ResultsRBD individuals showed increased volume of the right caudate nucleus compared with HC, and higher cerebellar volume compared with both PD subjects and HC. Similar to PD subjects, RBD patients displayed increased fractional anisotropy (FA) in the corticospinal tracts, several tracts mainly related to non-motor function, and reduced FA of the corpus callosum compared with HC. Further, RBD subjects showed higher FA in the cerebellar peduncles and brainstem compared with both, PD patients and HC. PD individuals exhibited lower than normal volume in the basal ganglia, midbrain, pedunculopontine nuclei, and cerebellum. In contrast, volume in PD subjects was increased in the thalamus compared with both HC and RBD subjects.ConclusionsWe found convergent patterns of structural brain alterations in RBD and PD patients compared with HC. The changes observed suggest a co-occurrence of neurodegeneration and compensatory mechanisms that fail with emerging PD pathology. Our findings strengthen the hypothesis of RBD and PD constituting a continuous disease spectrum.
000888852 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000888852 588__ $$aDataset connected to CrossRef
000888852 7001_ $$0P:(DE-Juel1)177890$$aRomanzetti, Sandro$$b1$$ufzj
000888852 7001_ $$0P:(DE-HGF)0$$aOertel, Wolfgang Hermann$$b2
000888852 7001_ $$0P:(DE-HGF)0$$aKnake, Susanne$$b3
000888852 7001_ $$0P:(DE-HGF)0$$aSittig, Elisabeth$$b4
000888852 7001_ $$0P:(DE-HGF)0$$aHeidbreder, Anna$$b5
000888852 7001_ $$0P:(DE-HGF)0$$aMaier, Andrea$$b6
000888852 7001_ $$0P:(DE-HGF)0$$aKrahe, Janna$$b7
000888852 7001_ $$0P:(DE-HGF)0$$aWojtala, Jennifer$$b8
000888852 7001_ $$0P:(DE-HGF)0$$aDogan, Imis$$b9
000888852 7001_ $$0P:(DE-Juel1)171786$$aSchulz, Jörg Bernhard$$b10
000888852 7001_ $$0P:(DE-HGF)0$$aSchiefer, Johannes$$b11
000888852 7001_ $$0P:(DE-HGF)0$$aJanzen, Annette$$b12
000888852 7001_ $$0P:(DE-Juel1)177889$$aReetz, Kathrin$$b13$$eCorresponding author
000888852 773__ $$0PERI:(DE-600)2056761-3$$a10.1093/sleep/zsaa199$$gp. zsaa199$$n3$$pzsaa199$$tSleep$$v44$$x1550-9109$$y2021
000888852 8564_ $$uhttps://juser.fz-juelich.de/record/888852/files/Holtbern_2020_Sleep_Postprint.pdf$$yPublished on 2020-09-25. Available in OpenAccess from 2021-09-25.
000888852 8564_ $$uhttps://juser.fz-juelich.de/record/888852/files/zsaa199.pdf$$yRestricted
000888852 909CO $$ooai:juser.fz-juelich.de:888852$$popen_access$$popenaire$$pdnbdelivery$$pdriver$$pVDB
000888852 9101_ $$0I:(DE-588b)5008462-8$$60000-0002-2348-7064$$aForschungszentrum Jülich$$b0$$kFZJ
000888852 9101_ $$0I:(DE-HGF)0$$60000-0002-2348-7064$$a inm4$$b0
000888852 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177890$$aForschungszentrum Jülich$$b1$$kFZJ
000888852 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171786$$aForschungszentrum Jülich$$b10$$kFZJ
000888852 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177889$$aForschungszentrum Jülich$$b13$$kFZJ
000888852 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000888852 9130_ $$0G:(DE-HGF)POF3-573$$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$$vNeuroimaging$$x0
000888852 9141_ $$y2021
000888852 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0530$$2StatID$$aEmbargoed OpenAccess
000888852 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bSLEEP : 2018$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2020-09-04
000888852 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-09-04$$wger
000888852 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-09-04
000888852 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000888852 9201_ $$0I:(DE-82)080010_20140620$$kJARA-BRAIN$$lJARA-BRAIN$$x1
000888852 9201_ $$0I:(DE-Juel1)INM-11-20170113$$kINM-11$$lJara-Institut Quantum Information$$x2
000888852 980__ $$ajournal
000888852 980__ $$aVDB
000888852 980__ $$aI:(DE-Juel1)INM-4-20090406
000888852 980__ $$aI:(DE-82)080010_20140620
000888852 980__ $$aI:(DE-Juel1)INM-11-20170113
000888852 980__ $$aUNRESTRICTED
000888852 9801_ $$aFullTexts