{
  "abstract": "INTRODUCTION: Preclinical Alzheimer's disease (pAD) is characterized by subtle disruptions in semantic network functioning. Psycholinguistic metrics from item‐level responses during verbal fluency tasks could reflect these changes in the asymptomatic stage.\n\nMETHODS: We analyzed psycholinguistic metrics for Animal and F Fluency (age of acquisition [AoA], semantic neighborhood density [SND], and lexical frequency [LF]), testing whether these metrics differentiated 50 participants with positron emission tomography (PET)‐confirmed pAD (Aβ+) from 99 controls (Aβ‐) and predicted cognitive decline.\n\nRESULTS: Aβ+ participants generated Animal Fluency responses with younger AoA, higher LF, and marginally higher SND than Aβ‐ (ds = 0.33‐0.44), despite comparable total scores. All three metrics predicted amyloid positivity in models controlling for age and total score. No significant findings were observed for F Fluency, and no metrics predicted cognitive decline.\n\nDISCUSSION: Psycholinguistic metrics for Animal, but not F Fluency responses may reflect changes in semantic network functioning in pAD not captured by the total score.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Neurology Medical University of South Carolina Charleston South Carolina USA",
    "Department of Neurology Indiana University School of Medicine Indianapolis Indiana USA",
    "Department of Public Health Sciences Medical University of South Carolina Charleston South Carolina USA"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Michael A. Sugarman",
      "orcid": "0009-0000-9823-8022"
    },
    {
      "affs": [
        0
      ],
      "name": "Mackenzie Stabile"
    },
    {
      "affs": [
        1
      ],
      "name": "David G. Clark"
    },
    {
      "affs": [
        2
      ],
      "name": "Paul J. Nietert"
    },
    {
      "affs": [
        0
      ],
      "name": "Federico Rodriguez‐Porcel"
    },
    {
      "affs": [
        1
      ],
      "name": "Justin Bushnell"
    },
    {
      "affs": [
        0
      ],
      "name": "Andreana Benitez"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6fg0e938z2n3y.bib",
  "cited_by": 0,
  "doi": "10.1002/dad2.70533",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13728314/",
  "id": "6fg0e938z2n3y",
  "issns": [
    "2352-8729"
  ],
  "landing_url": "https://doi.org/10.1002/dad2.70533",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research Article"
    ],
    [
      "openalex",
      "2738|Dementia and Cognitive Impairment Research"
    ]
  ],
  "openalex": "W7225193887",
  "pdf_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/dad2.70533",
  "pmcid": "PMC13728314",
  "pmid": "42979035",
  "published": "2026-11-02",
  "publisher": "Wiley",
  "ris": "https://research.draconitic.com/paper/6fg0e938z2n3y.ris",
  "sources": [
    {
      "first_seen": "2026-11-06T12:24:01Z",
      "native_id": "PMC13728314",
      "source": "pmc",
      "url": "https://doi.org/10.1002/dad2.70533"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2738|Dementia and Cognitive Impairment Research",
      "subfield": "psychiatry"
    }
  ],
  "title": "Item‐level verbal fluency psycholinguistic metrics predict preclinical Alzheimer's disease",
  "title_text": "Item‐level verbal fluency psycholinguistic metrics predict preclinical Alzheimer's disease",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T12:21:19Z",
  "url": "https://research.draconitic.com/paper/6fg0e938z2n3y",
  "venue": "Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring",
  "versions": []
}