{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:42:11Z","timestamp":1790296931866,"version":"4.1.0"},"reference-count":60,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:00Z","timestamp":1755820800000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["alz-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Alzheimer's &amp;amp; Dementia"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>INTRODUCTION<\/jats:title><jats:p>In contrast to Alzheimer's disease (AD), in which initial neurofibrillary tangles (NFT) are mainly limited to the (trans)entorhinal region (EC) and CA1\/prosubiculum, primary age\u2010related tauopathy (PART) has been suggested to exhibit an early predisposition to NFTs in the hippocampal CA2 subregion.<\/jats:p><\/jats:sec><jats:sec><jats:title>METHODS<\/jats:title><jats:p>We created an artificial intelligence model that recognizes and quantifies NFTs of three different maturity levels in different hippocampal subfields. This model was applied to a population\u2010based Vantaa 85+ cohort, including hippocampal tau\u2010immunostained sections from 210 individuals aged \u2265 85 years.<\/jats:p><\/jats:sec><jats:sec><jats:title>RESULTS<\/jats:title><jats:p>EC and CA1, but not CA2, had significantly higher NFT density in moderate AD compared to PART. CA2\/CA1 and CA2\/EC NFT ratios were inversely associated with amyloid beta (A\u03b2) deposition in PART versus AD. The maturation process was exacerbated by A\u03b2 in AD versus PART.<\/jats:p><\/jats:sec><jats:sec><jats:title>DISCUSSION<\/jats:title><jats:p>Compared to AD, a CA2 conspicuous pattern of hippocampal NFTs was more common in, but not exclusive to, PART.<\/jats:p><\/jats:sec><jats:sec><jats:title>Highlights<\/jats:title><jats:p><jats:list list-type=\"bullet\">\n<jats:list-item><jats:p>Neurofibrillary tangles (NFTs) of varying maturity were studied by a new kind of artificial intelligence model in the oldest\u2010old.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Hippocampal NFT distribution differed between primary age\u2010related tauopathy (PART) and Alzheimer's disease (AD).<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>PART more often showed prominent NFT pathology in CA2 compared to AD.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>In PART, the NFT maturation process stood out in CA2 compared to other subfields.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>The NFT maturation process was aggravated by amyloid beta in AD compared to PART.<\/jats:p><\/jats:list-item>\n<\/jats:list><\/jats:p><\/jats:sec>","DOI":"10.1002\/alz.70613","type":"journal-article","created":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T10:32:39Z","timestamp":1755858759000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Hippocampal tau distribution in primary age\u2010related tauopathy: The Vantaa 85+ Study"],"prefix":"10.1002","volume":"21","author":[{"given":"Sara","family":"Savola","sequence":"first","affiliation":[{"name":"Department of Pathology University of Helsinki  Helsinki Finland"},{"name":"Department of Pathology HUS Diagnostic Center  Helsinki Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jarno","family":"Tuimala","sequence":"additional","affiliation":[{"name":"Department of Pathology 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