001     1024599
005     20250203103135.0
024 7 _ |a 10.1002/alz.082991
|2 doi
024 7 _ |a 1552-5260
|2 ISSN
024 7 _ |a 1552-5279
|2 ISSN
024 7 _ |a 10.34734/FZJ-2024-02273
|2 datacite_doi
037 _ _ |a FZJ-2024-02273
082 _ _ |a 610
100 1 _ |a Doering, Elena
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a A Volume‐Based Alternative for classifying ATN: Data from the Tau Propagation over Time (T‐POT) cohort
260 _ _ |a Hoboken, NJ
|c 2023
|b Wiley
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 1712834194_17869
|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:Alzheimer’sdisease(AD)ischaracterizedbythecerebralaccumulationofamyloid-beta(A),tau(T),andprogressiveneurodegeneration(N).ThewidelyusedATNsystem,withregardtopositronemissiontomography(PET)biomarkers,catego-rizesADbasedonthemeansignalinspecificregionsofinterest(ROI).However,thisprocedure disregards the spatial extent of pathology and neurodegeneration. Here,weproposeanalternativequantificationofthevolume,i.e.,fillstates,ofA,TandNin(pre)-clinicalAD.Method:WeanalyzeddatafromtheTauPropagationoverTime(T-POT)study,includ-ingcognitivelyunimpairedindividuals(CU,n=58),andpatientswithmildcognitiveimpairment(MCI,n=20)orADdementia(n=4).C11-PIB-PET(A),18F-AV1451(T)andperfusion-phase18F-AV1451scans(N)werespatiallyandintensity-normalized(reference:cerebellum).ToquantifythevolumeofA,TandN,wez-standardizedandsubsequentlybinarizedallscanswithin–modalityusingaz-scorethreshold.Fillstateswerethencomputedasthesumofabnormalvoxelsrelativetoawhole-brainmask.Finally,meanfillstateswerecomparedacrossgroupsofclinicalstatus(CU,MCI,AD)andpartialcorrelationsofeitherfillstatesormeanPETsignalinestablished,tracer-specificROIswithcognitiveperformance(MMSE)werecomputed,adjustingforage,sexandeducation.Result:Meanfillstatesreflectedclinicalstatus,astheyincreasedwithdiseaseprogres-sion(CU:A=4%,T=4%,N=3%;MCI:A=15%,T=11%,N=4%;ADdementia:A=20%,T=23%,N=5%).Moreover,AandTfillstateswerenegativelyassociatedwithMMSE(rhoA=-.299,p<.001;rhoT=-.318,p<.01;rhoN=-.147,p=.20),whileassoci-Alzheimer’sDement.2023;19(Suppl.24):e082991.©2023theAlzheimer’sAssociation.1of2wileyonlinelibrary.com/journal/alzhttps://doi.org/10.1002/alz.0829912of2BIOMARKERSationsofmeanPETsignalandMMSEtendedtobeweaker(rhoA(global)=-.255,p=.03;rhoT(temporalmetaROI)=-.275,p=.01;rhoN(metaROI)=.179,p=.12).Conclusion:We present a competitive quantification scheme for ATN that is asso-ciated with both, clinical status and cognitive performance. These results, whilecurrently validated in a larger sample, suggest that the spatiotemporal dynamics ofpathologyandneurodegenerationintheADcontinuumarewellcapturedbyourmulti-parametricapproach,whichispossiblysuperiorcomparedtoclassificationfrommeanPETsignalintensity.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Hönig, Merle C.
|0 P:(DE-Juel1)178642
|b 1
|u fzj
700 1 _ |a Dzialas, Verena
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Lothmann, Julia
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Giehl, Kathrin
|0 P:(DE-Juel1)178805
|b 4
|u fzj
700 1 _ |a Theis, Hendrik
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Jäger, Elena
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Andrassy, Gregory
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Bauer, Andreas
|0 P:(DE-Juel1)131672
|b 8
|u fzj
700 1 _ |a Elmenhorst, David
|0 P:(DE-Juel1)131679
|b 9
|u fzj
700 1 _ |a Kroll, Tina
|0 P:(DE-Juel1)131691
|b 10
|u fzj
700 1 _ |a Matusch, Andreas
|0 P:(DE-Juel1)138474
|b 11
|u fzj
700 1 _ |a Krapf, Philip
|0 P:(DE-Juel1)169356
|b 12
|u fzj
700 1 _ |a Neumaier, Bernd
|0 P:(DE-Juel1)166419
|b 13
|u fzj
700 1 _ |a Lerche, Christoph
|0 P:(DE-Juel1)164254
|b 14
|u fzj
700 1 _ |a Tellmann, Lutz
|0 P:(DE-Juel1)131797
|b 15
|u fzj
700 1 _ |a Frensch, Silke
|0 P:(DE-Juel1)162267
|b 16
|u fzj
700 1 _ |a Zeyen, Philip
|0 P:(DE-HGF)0
|b 17
700 1 _ |a Sand, Frederik
|0 P:(DE-HGF)0
|b 18
700 1 _ |a Richter, Nils
|0 P:(DE-Juel1)167565
|b 19
|u fzj
700 1 _ |a Jessen, Frank
|0 P:(DE-HGF)0
|b 20
700 1 _ |a Onur, Oezguer A.
|0 P:(DE-HGF)0
|b 21
700 1 _ |a Ramirez, Alfredo
|0 P:(DE-HGF)0
|b 22
700 1 _ |a van Eimeren, Thilo
|0 P:(DE-Juel1)169110
|b 23
700 1 _ |a Drzezga, Alexander
|0 P:(DE-Juel1)177611
|b 24
|u fzj
700 1 _ |a Bischof, Gerard N
|0 P:(DE-Juel1)166265
|b 25
|u fzj
773 _ _ |a 10.1002/alz.082991
|g Vol. 19, no. S24, p. e082991
|0 PERI:(DE-600)2201940-6
|n S24
|p e082991
|t Alzheimer's and dementia
|v 19
|y 2023
|x 1552-5260
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1024599/files/2024_Doering_Alzheimer%20and%20Dementia_A%20Volume%20Based%20Alternative%20for%20classifying%20ATN_POSTER%20PRESENTATION.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1024599/files/2024_Doering_Alzheimer%20and%20Dementia_A%20Volume%20Based%20Alternative%20for%20classifying%20ATN_POSTER%20PRESENTATION.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1024599/files/2024_Doering_Alzheimer%20and%20Dementia_A%20Volume%20Based%20Alternative%20for%20classifying%20ATN_POSTER%20PRESENTATION.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1024599/files/2024_Doering_Alzheimer%20and%20Dementia_A%20Volume%20Based%20Alternative%20for%20classifying%20ATN_POSTER%20PRESENTATION.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1024599/files/2024_Doering_Alzheimer%20and%20Dementia_A%20Volume%20Based%20Alternative%20for%20classifying%20ATN_POSTER%20PRESENTATION.jpg?subformat=icon-640
909 C O |o oai:juser.fz-juelich.de:1024599
|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 1
|6 P:(DE-Juel1)178642
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)178805
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)131672
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)131679
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 10
|6 P:(DE-Juel1)131691
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)138474
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 12
|6 P:(DE-Juel1)169356
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 13
|6 P:(DE-Juel1)166419
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 14
|6 P:(DE-Juel1)164254
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 15
|6 P:(DE-Juel1)131797
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 16
|6 P:(DE-Juel1)162267
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 19
|6 P:(DE-Juel1)167565
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 24
|6 P:(DE-Juel1)177611
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 25
|6 P:(DE-Juel1)166265
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 2024
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-25
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ALZHEIMERS DEMENT : 2022
|d 2023-10-25
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2023-10-25
|w ger
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-25
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b ALZHEIMERS DEMENT : 2022
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-25
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-25
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 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21