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Record W4408212193 · doi:10.1016/j.cortex.2025.02.010

Age-dependent semantic interference effect on propositional speech production

2025· article· en· W4408212193 on OpenAlexaboutno aff
Gail Robinson, Thomas Hollingsworth, Melody M.Y. Chan

Bibliographic record

VenueCortex · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilAustralian Research Council
KeywordsPsychologyProduction (economics)Speech productionInterference (communication)Cognitive psychologyLinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Older adults can find verbal communication in noisy environments challenging, but the underlying cognitive phenomena and the specific mechanisms contributing to age-related decline remain unclear. Using a newly designed propositional speech production paradigm, we examined how semantic distractors of varying levels of relatedness affect propositional speech performance in healthy adults. In the paradigm, participants were assessed on their ability to formulate verbal responses while distracted by semantically related or unrelated words, simulating real-world scenarios with meaningful auditory distractions (e.g., sounds from radio programs). We also examined the cognitive processes associated with task performance. We recruited 30 younger participants (mean age: 22.23 years) and 27 older participants (mean age: 75.31 years) matched for sex, handedness, and intelligence. All participants were screened using the Montreal Cognitive Assessment (MoCA) and neuropsychological assessments. Older adults performed better than younger adults on a semantic memory task, but performed poorer on tasks assessing executive functions, including interference control, verbal response initiation and suppression, and semantic verbal fluency. In the novel propositional speech production task, older adults exhibited a pronounced semantic interference effect (F 1.58, 83.67 = 4.67, p = .018, ηp 2 = .08; with MoCA as a covariate), particularly for concrete distractors, resulting in longer response latencies compared to associative and unrelated distractors (Bonferroni-corrected p-values < .01). Exploratory correlation analyses revealed that longer response latencies in the propositional speech production task were associated with a poorer performance on neuropsychological tests tapping verbal response suppression (false discovery rate-corrected p < .05). Our findings suggest that verbal communication difficulties in the context of environmental distractions experienced by older adults could be due to the semantic interference effect. Cognitive interventions aimed at enhancing inhibitory control could be beneficial to older adults in maintaining their social engagement in the later life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.295
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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