ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Item-Level Analysis of Category Fluency Test Performance: A Systematic Review and Meta-Analysis of Studies of Normal and Neurologically Abnormal Ageing.Neuropsychology review · 2025Pooled it
- Speech clocks decode dementia phenotypes, social exposome, and biological aging.Science advances · 2026Article
- Article
- Semantic memory navigation in mild cognitive impairment: Automated markers with neural and biofluid correlates.NeuroImage · 2026Article
- Generalizability of EEG-Based DEMENTIA Classifiers: A Multicenter study of Alzheimer's, MCI, and FTD.medRxiv : the preprint server for health sciences · 2026Article
- The include network: Advancing cross-linguistic equity in brain health research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.The Clinical neuropsychologist · 2026Article
- Benchmarking speech biomarkers of Alzheimer's against cognitive and neural measures.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The landscape of dementia research, diagnosis, treatment, and care in Latin America.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Speech and language outcome measures in clinical trials of Alzheimer's and Parkinson's diseases.Expert review of neurotherapeutics · 2026Review
- The two faces of elderspeak.NPJ dementia · 2026Review
- Mapping the neural correlates of the effect of psycholinguistic variables on picture naming performance: a FDG-PET study across neurodegenerative diseases.Alzheimer's research & therapy · 2025Article
- A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection.NPJ digital medicine · 2025Article
- Cognitive Phenotyping of Parkinson's Disease Patients Via Digital Analysis of Spoken Word Properties.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Automated Speech Markers of Alzheimer Dementia: Test of Cross-Linguistic Generalizability.Journal of medical Internet research · 2025Article
- Semantic memory navigation in HIV: Conceptual associations and word selection patterns.The Clinical neuropsychologist · 2025Article
- Advancements in dementia research, diagnostics, and care in Latin America: Highlights from the 2023 Alzheimer's Association International conference satellite symposium in Mexico City.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Discriminating nonfluent/agrammatic and logopenic PPA variants with automatically extracted morphosyntactic measures from connected speech.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Neurocognitive correlates of semantic memory navigation in Parkinson's disease.NPJ Parkinson's disease · 2024Article
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Authors and funding
16 authors.
Funding
Abstract
introductionVerbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease-specific semantic memory patterns. Here, we leveraged automated word-property analysis to capture neurocognitive markers of AD vis-à-vis behavioral variant frontotemporal dementia (bvFTD).
methodsPatients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group-level discrimination, patient-level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns.
resultsValid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group- and subject-level discrimination only in AD, also predicting executive outcomes. Disease-specific cortical thickness patterns were predicted by frequency in both disorders. Default-mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD. DISCUSSION: Word-property analysis of fluency can boost AD characterization and diagnosis. HIGHLIGHTS: We report novel word-property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word-property analysis of fluency can boost AD characterization and diagnosis.
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