TY  - JOUR
AU  - Doering, Elena
AU  - Hönig, Merle C.
AU  - Dzialas, Verena
AU  - Lothmann, Julia
AU  - Giehl, Kathrin
AU  - Theis, Hendrik
AU  - Jäger, Elena
AU  - Andrassy, Gregory
AU  - Bauer, Andreas
AU  - Elmenhorst, David
AU  - Kroll, Tina
AU  - Matusch, Andreas
AU  - Krapf, Philip
AU  - Neumaier, Bernd
AU  - Lerche, Christoph
AU  - Tellmann, Lutz
AU  - Frensch, Silke
AU  - Zeyen, Philip
AU  - Sand, Frederik
AU  - Richter, Nils
AU  - Jessen, Frank
AU  - Onur, Oezguer A.
AU  - Ramirez, Alfredo
AU  - van Eimeren, Thilo
AU  - Drzezga, Alexander
AU  - Bischof, Gerard N
TI  - A Volume‐Based Alternative for classifying ATN: Data from the Tau Propagation over Time (T‐POT) cohort
JO  - Alzheimer's and dementia
VL  - 19
IS  - S24
SN  - 1552-5260
CY  - Hoboken, NJ
PB  - Wiley
M1  - FZJ-2024-02273
SP  - e082991
PY  - 2023
AB  - 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.
LB  - PUB:(DE-HGF)16
DO  - DOI:10.1002/alz.082991
UR  - https://juser.fz-juelich.de/record/1024599
ER  -