Diagnostic performance of verbal fluency measures: a cross-sectional study in the stages of cognitive continuum

Verbal fluency (VF) measures are sensitive markers of advanced cognitive decline; however, the utility of the discrepancy score remains underexplored in the early stages of cognitive decline, such as subjective cognitive decline (SCD). This study evaluated semantic fluency (SF) and phonemic fluency (PF), as well as discrepancy score sensitivity, in clinical populations with SCD, mild cognitive impairment (MCI), and dementia. In this cross-sectional study, 193 older adults (72 healthy controls, 67 with SCD, 16 with MCI, and 38 with dementia) were consecutively recruited from the Nyírő Gyula National Institute of Psychiatry and Addictology, Hungary. Each participant underwent a comprehensive neurological interview and neuropsychological assessments. Semantic and phonemic fluency, along with their discrepancy, served as the primary outcome measures, defined as the number of correct words generated in one minute for each fluency type and the difference between them. Group differences were assessed using one-way ANCOVAs that controlled for age and education, and diagnostic classification performance was evaluated using a multinomial logistic regression model-based metric. Relative to healthy controls, SCD showed significantly lower SF scores (β = − 2.267, p = .009) but no difference in PF (p = .493). Both fluency types were reduced in MCI and dementia, with semantic declines being especially pronounced. Multinomial logistic regression model identified dementia most accurately using SF (balanced accuracy = 0.81) and SCD using the discrepancy score (balanced accuracy = 0.61), while MCI classification was poor, likely due to a small sample size. These results underscore the potential of SF and its discrepancy with PF for early detection and differentiation of cognitive decline. This study demonstrates that individuals with SCD have deficits in semantic—but not phonemic—fluency, and that VF discrepancy scores detect SCD more effectively than semantic fluency alone. However, accuracy is only moderate and insufficient for use as a standalone clinical test.

Authors

Institutions

Publication Details

Journal
Alzheimer s Research & Therapy
Published
2026-01-20
DOI
https://doi.org/10.1186/s13195-026-01963-3
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic performance of verbal fluency measures: a cross-sectional study in the stages of cognitive continuum

Melinda Becske, Andras Attila Horvath, Dalida Borbála Berente-Kerestély, Mihály Unoka
Alzheimer s Research & Therapy
Dementia and Cognitive Impairment Research
article

Diagnostic performance of verbal fluency measures: a cross-sectional study in the stages of cognitive continuum

Melinda Becske, Andras Attila Horvath, Dalida Borbála Berente-Kerestély, Mihály Unoka
article en

Abstract

Verbal fluency (VF) measures are sensitive markers of advanced cognitive decline; however, the utility of the discrepancy score remains underexplored in the early stages of cognitive decline, such as subjective cognitive decline (SCD). This study evaluated semantic fluency (SF) and phonemic fluency (PF), as well as discrepancy score sensitivity, in clinical populations with SCD, mild cognitive impairment (MCI), and dementia. In this cross-sectional study, 193 older adults (72 healthy controls, 67 with SCD, 16 with MCI, and 38 with dementia) were consecutively recruited from the Nyírő Gyula National Institute of Psychiatry and Addictology, Hungary. Each participant underwent a comprehensive neurological interview and neuropsychological assessments. Semantic and phonemic fluency, along with their discrepancy, served as the primary outcome measures, defined as the number of correct words generated in one minute for each fluency type and the difference between them. Group differences were assessed using one-way ANCOVAs that controlled for age and education, and diagnostic classification performance was evaluated using a multinomial logistic regression model-based metric. Relative to healthy controls, SCD showed significantly lower SF scores (β = − 2.267, p = .009) but no difference in PF (p = .493). Both fluency types were reduced in MCI and dementia, with semantic declines being especially pronounced. Multinomial logistic regression model identified dementia most accurately using SF (balanced accuracy = 0.81) and SCD using the discrepancy score (balanced accuracy = 0.61), while MCI classification was poor, likely due to a small sample size. These results underscore the potential of SF and its discrepancy with PF for early detection and differentiation of cognitive decline. This study demonstrates that individuals with SCD have deficits in semantic—but not phonemic—fluency, and that VF discrepancy scores detect SCD more effectively than semantic fluency alone. However, accuracy is only moderate and insufficient for use as a standalone clinical test.

Alzheimer s Research & TherapyVol. 18(1)
Semmelweis University (HU), University of Lisbon (PT), National Institute of Menthal Health, Neurology and Neurosurgery - Nyírő Gyula Hospital (HU), HUN-REN Research Centre for Natural Sciences (HU)
Quality Education
Openalex Percentile: Top 84%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.