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Using the HEAD Study and two additional independent cohorts, this work preliminarily evaluates Uniτ, a scale designed to harmonize Flortaucipir and MK6240 onto a universal tau-PET measurement longitudinally. The study harmonizes SUVr signals to Uniτ and analyzes annual uptake change in Braak I-II and Meta-Temporal regions.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/longitudinal-progression-and-harmonization-of-tau-pet-tracers/458289/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/longitudinal-progression-and-harmonization-of-tau-pet-tracers/458289.png","ImageObject",300,407,{"name":92,"@type":93},"WPS_1786070896","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-07","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What is Uniτ and why is it needed?","Question",{"text":112,"@type":113},"Uniτ is a harmonization scale that maps Flortaucipir and MK6240 onto a universal tau-PET measurement. It addresses tracer-specific binding pattern differences that complicate comparing results across tracers longitudinally.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the longitudinal performance evaluated?",{"text":117,"@type":113},"Annual tau-PET uptake change was computed using longitudinal data from HEAD, ADNI, and TRIAD cohorts. SUVr values were harmonized to Uniτ, and analyses focused on Braak I-II and Meta-Temporal regions of interest.",{"name":119,"@type":110,"acceptedAnswer":120},"Which brain regions showed detectable annual changes?",{"text":121,"@type":113},"In the HEAD cohort, annual changes in Braak I-II were detectable only with MK6240, while both tracers detected significant annual changes in the Meta-Temporal ROI for cognitively impaired individuals. Across cohorts, Meta-Temporal consistently showed detectable annual increases.",{"name":123,"@type":110,"acceptedAnswer":124},"What do the results suggest about clinical trial use?",{"text":125,"@type":113},"The findings indicate that Uniτ harmonization preserves the longitudinal characteristics of each tau-PET tracer. Uniτ therefore supports harmonized tau PET measurements for use in clinical trials.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},458289,1790752489,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":143,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":67,"update_tm":133,"read_time":52,"preview_page_count":4},549768072016,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","DOI: 10. 1002/alz70856_105956  \nBIOMARKERS  \nPOSTER PRESENTATION  \nNEUROIMAGING  \nLongitudinal progression and harmonization of tau-PET tracers  \nGuilherme Bauer-Negrini1  Pamela C. L. Ferreira 1  Guilherme Povala 1  Bruna Bellaver 1  Firoza Z Lussier 1  Livia Amaral 1  Dana L Tudorascu 1  Quentin Finn2  Nesrine Rahmouni3  Joseph Therriault3  Stijn Servaes3  Jenna Stevenson3  Arthur C. Macedo3  Joseph C. Masdeu2   \nDavid N. Soleimani-Meigooni4  Juan Fortea5  Val J Lowe6  Hwamee Oh7  Belen Pascual2  Brian A. Gordon8  Pedro Rosa-Neto9  Suzanne L. Baker 10  Tharick A Pascoal 1  \n1 University of Pittsburgh, Pittsburgh, PA, USA  \n2 Houston Methodist Research Institute, Houston, TX, USA  \n3 McGill University, Montreal, QC, Canada  \n4 Memory and Aging Center, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA  \n5Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Sant PauUniversitat Autònoma de Barcelona, Barcelona, Spain  \n6 Mayo Clinic, Rochester, MN, USA  \n7 Brown University, Providence, RI, USA  \n8Washington University in St. Louis, School of Medicine, St. Louis, MO, USA  \n9 McGill University Research Centre for Studies in Aging, Montreal, QC, Canada  \n10 Lawrence Berkeley National Laboratory, Berkeley, CA, USA  \nCorrespondence  \nGuilherme Bauer-Negrini, University of Pittsburgh, Pittsburgh, PA, USA. [Email:](Email: gbnegrini@pitt.edu)[ gbnegrini@pitt.edu](Email: gbnegrini@pitt.edu)  \nAbstract  \nBackground: Tau-PET tracers have been used to monitor the progression of Alzheimer’s disease (AD). However, different tracers present distinct patterns of binding throughout the brain, challenging the harmonization of their findings. Leveraging the HEAD Study, the largest head-to-head study of tau-PET tracers, we recently developed the Uniτ scale, which cross-sectionally harmonizes Flortaucipirand MK6240 onto a universal tau-PET measurement. Here, we provide a preliminary evaluation of the Uniτ scale’s longitudinal performance in HEAD and two independent cohorts.  \nMethods: We assessed 422 individuals across the AD spectrum with longitudinal tauPET from three cohorts: HEAD [13 cognitively unimpaired (CU), 9 cognitively impaired (CI) individuals, scanned head-to-head with Flortaucipir and MK6240], ADNI [74 CU, 208 CI, tracer: Flortaucipir], and TRIAD [72 CU, 46 CI, tracer: MK6240]. Standardized uptake ratios (SUVRs) were harmonized to Uniτ using the Uniτ Ecosystem ([unitau.app](unitau.app)). Braak I-II and the Meta-Temporal regions were used as regions of interest. Annual tauPET uptake change was calculated, and the effect size was defined as the mean annual change divided by its standard deviation.  \nResults: In HEAD, annual change in tau-PET uptake in Braak I-II across CU and CI was only detectable in MK6240 (Figure 1A). However, both tracers detected significant annual changes in the Meta-Temporal ROI for CI (Figure 1B). In both ADNI (Flortaucipir) and TRIAD (MK6240), changes in tau-PET uptake in Braak I-II regions were not significant (Figures 2-3A). However, across all cohorts, the Meta-Temporal  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  \n© 2025 The Alzheimer’s Association. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association.  \nAlzheimer’s Dement. 2025;21(Suppl. 2):e105956.  \n[https://doi.org/10.1002/alz70856_105956](https://doi.org/10.1002/alz70856_105956)  \nwi[leyonlinelibrary.com/journal/alz](leyonlinelibrary.com/journal/alz)  \n1of4  \nBIOMARKERS  \nROI consistently showed detectable annual tau-PET increases—most pronounced among CI—leading to larger effect sizes than in Braak I-II (Figures 1-3B). The Uniτ harmonization did not fundamentally alter the pattern of the findings. However, in ADNI (Flortaucipir), Uniτ yielded a slightly higher effect size than SUV","cbCaipmK0L1vMnHd","https://ap.wps.com/l/cbCaipmK0L1vMnHd","pdf",3005846,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusion","[{\"question\":\"What is Uniτ and why is it needed?\",\"answer\":\"Uniτ is a harmonization scale that maps Flortaucipir and MK6240 onto a universal tau-PET measurement. It addresses tracer-specific binding pattern differences that complicate comparing results across tracers longitudinally.\"},{\"question\":\"How was the longitudinal performance evaluated?\",\"answer\":\"Annual tau-PET uptake change was computed using longitudinal data from HEAD, ADNI, and TRIAD cohorts. SUVr values were harmonized to Uniτ, and analyses focused on Braak I-II and Meta-Temporal regions of interest.\"},{\"question\":\"Which brain regions showed detectable annual changes?\",\"answer\":\"In the HEAD cohort, annual changes in Braak I-II were detectable only with MK6240, while both tracers detected significant annual changes in the Meta-Temporal ROI for cognitively impaired individuals. Across cohorts, Meta-Temporal consistently showed detectable annual increases.\"},{\"question\":\"What do the results suggest about clinical trial use?\",\"answer\":\"The findings indicate that Uniτ harmonization preserves the longitudinal characteristics of each tau-PET tracer. Uniτ therefore supports harmonized tau PET measurements for use in clinical trials.\"}]","Longitudinal progression and harmonization of tau-PET tracers | PDF"]