{
  "abstract": "We developed a machine learning framework grounded in a computational model of brain function and FDG-PET imaging to predict Alzheimer’s disease (AD)-type tau across AD and related disorders (ADRD). The model was trained on 1088 research participants spanning normal aging and ADRD with FDG-PET and flortaucipir-PET (FTP-PET). Validation was conducted in: (1) a longitudinal subset of the training cohort ( n = 215), (2) Alzheimer’s Disease Neuroimaging Initiative ( n = 295), and (3) a heretogeneous clinical cohort ( n = 264; n = 28 with FTP-PET). Results showed that the model accurately predicted FTP-PET when applied at the participant-level ( R 2 ~ 0.34-0.71). It performed well in clinical scenarios, including classification of low versus high tau stages (79–95% accuracy) and prediction of tau in a heterogeneous clinical cohort without FTP-PET. These findings advance the understanding of the relationship between neurodegeneration and AD-type tau and provide a framework for estimating AD-type tau across ADRD.",
  "abstract_shown": true,
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  "arxiv": null,
  "author_total": 30,
  "authors": [
    {
      "name": "Nick Corriveau-Lecavalier",
      "orcid": "0000-0002-6561-9870"
    },
    {
      "name": "Gemeng Zhang"
    },
    {
      "name": "Hugo Botha",
      "orcid": "0000-0003-4390-685X"
    },
    {
      "name": "Leland R. Barnard"
    },
    {
      "name": "Heather J. Wiste"
    },
    {
      "name": "Ellen Dicks"
    },
    {
      "name": "Venkatsampath R. Gogineni"
    },
    {
      "name": "Jeyeon Lee"
    },
    {
      "name": "Irene Sintini"
    },
    {
      "name": "Matthew L. Senjem",
      "orcid": "0000-0001-9308-9275"
    },
    {
      "name": "Christopher G. Schwarz",
      "orcid": "0000-0002-1466-8357"
    },
    {
      "name": "Petrice M. Cogswell",
      "orcid": "0000-0002-8128-4476"
    },
    {
      "name": "Derek R. Johnson",
      "orcid": "0000-0002-4217-5517"
    },
    {
      "name": "Jeffrey L. Gunter"
    },
    {
      "name": "Michael G. Kamykowski",
      "orcid": "0000-0002-3108-7618"
    },
    {
      "name": "Jonathan Graff-Radford"
    },
    {
      "name": "Vijay K. Ramanan",
      "orcid": "0000-0001-6591-8734"
    },
    {
      "name": "Julie A. Fields"
    },
    {
      "name": "Mary M. Machulda"
    },
    {
      "name": "Nikki H. Stricker",
      "orcid": "0000-0001-9034-1252"
    },
    {
      "name": "Bradley F. Boeve",
      "orcid": "0000-0002-4153-8187"
    },
    {
      "name": "Val J. Lowe"
    },
    {
      "name": "Kejal Kantarci"
    },
    {
      "name": "David S. Knopman",
      "orcid": "0000-0002-6544-066X"
    },
    {
      "name": "Jennifer L. Whitwell"
    },
    {
      "name": "Keith A. Josephs",
      "orcid": "0000-0003-2930-8634"
    },
    {
      "name": "Ronald C. Petersen",
      "orcid": "0000-0002-8178-6601"
    },
    {
      "name": "Clifford R. Jack",
      "orcid": "0000-0001-7916-622X"
    },
    {
      "name": "David T. Jones",
      "orcid": "0000-0002-4807-9833"
    },
    {
      "name": "or the Alzheimer’s Disease Neuroimaging Initiative"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0z6s5w3az4a00.bib",
  "cited_by": 0,
  "doi": "10.1038/s41467-026-78300-7",
  "fulltext_url": "https://europepmc.org/articles/PMC13724704",
  "id": "0z6s5w3az4a00",
  "issns": [
    "2041-1723"
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  "landing_url": "https://www.nature.com/articles/s41467-026-78300-7",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
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  "licence_url": "https://creativecommons.org/licenses/by/4.0",
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  "pdf_url": "https://www.nature.com/articles/s41467-026-78300-7_reference.pdf",
  "pmcid": "PMC13724704",
  "pmid": "42967904",
  "published": "2026-10-02",
  "publisher": "Springer Science and Business Media LLC",
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2738|Dementia and Cognitive Impairment Research",
      "subfield": "psychiatry"
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  ],
  "title": "A model of brain function to predict tau across Alzheimer’s disease and related disorders",
  "title_text": "A model of brain function to predict tau across Alzheimer’s disease and related disorders",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T12:21:07Z",
  "url": "https://research.draconitic.com/paper/0z6s5w3az4a00",
  "venue": "Nature Communications",
  "versions": []
}