ArticleFrontiers in psychology2022
Auditory Verb Generation Performance Patterns Dissociate Variants of Primary Progressive Aphasia.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Effects of Personalized Observation, Execution, and Mental Imagery (POEM) Therapy in Logopenic Primary Progressive Aphasia: A Telepractice-Based Single-Case Study.Brain sciences · 2026Article
- Clinical Manifestations and Neural Basis of Semantic Dementia: Converging Evidences From Brain Imaging Studies.Clinical interventions in aging · 2025Review
- The Pattern of Phonological, Semantic, and Circumlocution Naming Errors for Nouns and Verbs in Primary Progressive Aphasia.Aphasiology · 2025Article
- Heterogeneity and overlap in the continuum of linguistic profile of logopenic and semantic variants of primary progressive aphasia: a Profile Analysis based on Multidimensional Scaling study.Alzheimer's research & therapy · 2024Article
- Shave, shear, shred, or cut: PPA variant differentially impacts erroneous responses produced in a confrontation naming test of verbs.Aphasiology · 2024Article
- Verb Frequency and Density Drive Naming Performance in Primary Progressive Aphasia.Aphasiology · 2023Article
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13 authors.
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Abstract
Primary progressive aphasia (PPA) is a clinical syndrome in which patients progressively lose speech and language abilities. Three variants are recognized: logopenic (lvPPA), associated with phonology and/or short-term verbal memory deficits accompanied by left temporo-parietal atrophy; semantic (svPPA), associated with semantic deficits and anterior temporal lobe (ATL) atrophy; non-fluent (nfvPPA) associated with grammar and/or speech-motor deficits and inferior frontal gyrus (IFG) atrophy. Here, we set out to investigate whether the three variants of PPA can be dissociated based on error patterns in a single language task. We recruited 21 lvPPA, 28 svPPA, and 24 nfvPPA patients, together with 31 healthy controls, and analyzed their performance on an auditory noun-to-verb generation task, which requires auditory analysis of the input, access to and selection of relevant lexical and semantic knowledge, as well as preparation and execution of speech. Task accuracy differed across the three variants and controls, with lvPPA and nfvPPA having the lowest and highest accuracy, respectively. Critically, machine learning analysis of the different error types yielded above-chance classification of patients into their corresponding group. An analysis of the error types revealed clear variant-specific effects: lvPPA patients produced the highest percentage of "not-a-verb" responses and the highest number of semantically related nouns (production of
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