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Record W7117320520 · doi:10.1002/alz70857_104490

Differences in Word‐List Learning Strategies in Amnestic and Non‐Amnestic Mild Cognitive Impairment

2025· article· en· W7117320520 on OpenAlexaff
Catherine Bosyj, Kristoffer Romero, Ana Badal, Renée K. Biss

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsYork UniversityUniversity of Windsor
Fundersnot available
KeywordsContiguitySemantic memoryEpisodic memoryAmnesiaCognitive impairmentCognition

Abstract

fetched live from OpenAlex

BACKGROUND: Analyzing strategy-use during neuropsychological testing may provide novel, sensitive measures of cognitive decline in neurodegenerative disease. On word-list learning tasks, strategies can include semantic clustering (i.e., recalling semantically-related items consecutively), or temporal contiguity (i.e., recalling items in the order in which they were presented). While reduced temporal contiguity has been shown to predict cognitive decline, it is unknown whether its use differs across subtypes of mild cognitive impairment (MCI) or how it relates to semantic strategies. We examined recall output on a word-list learning task by comparing temporal contiguity and semantic clustering across patient groups. METHOD: Recall on the Word-List subtest of the Kaplan-Baycrest Neurocognitive Assessment was analyzed for 194 patients referred to a memory clinic. Included patients met criteria for amnestic MCI (aMCI; n = 65), non-amnestic MCI (naMCI; n = 42), or had cognition within normal limits (controls; n = 87). Temporal contiguity scores were calculated as average lag between successively recalled words, adjusting for overall recall and the word's original place in the list. Semantic clustering was calculated as average consecutive recall of categorically related words, controlling for recall performance and chance clustering. Temporal contiguity and semantic clustering were averaged across four learning and one delayed recall trial. RESULT: There were significant group differences in temporal contiguity (p = 0.02), with naMCI patients less likely to use a temporal contiguity strategy to organize recall relative to control, but not aMCI. Group differences in semantic clustering did not reach significance. Participants using temporal contiguity in recall were less likely to use semantic clustering. In aMCI, use of a temporal contiguity strategy was associated with worse immediate recall, whereas semantic clustering was associated with better immediate and delayed recall. The latter finding also observed in controls. CONCLUSION: aMCI participants used temporal contiguity to organize their recall, but this represented a suboptimal strategy relative to semantic clustering. Individuals with aMCI and relatively intact semantic processing may be able to sustain memory performance by adopting semantic strategies. In naMCI, there was less use of temporal contiguity to organize recall, which may be consistent with reduced frontal memory organization abilities.

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)0.000
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.024
GPT teacher head0.321
Teacher spread0.297 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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