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Record W4390201894 · doi:10.1002/alz.070749

The utility of neuropsychological process scores in verbal recall and verbal fluency in persons with or at risk for dementia: Data from COMPASS‐ND

2023· article· en· W4390201894 on OpenAlexaff
Natalie A. Phillips, Katrina Sollazzo

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologyVerbal fluency testDementiaRecallCognitionAudiologyVerbal learningCognitive reserveCalifornia Verbal Learning TestNeuropsychologyCognitive declineBoston Naming TestClinical psychologyDevelopmental psychologyPsychiatryCognitive psychologyMedicineDiseaseCognitive impairmentInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Subjective cognitive decline (SCD) is considered a risk state for decline to mild cognitive impairment (MCI) or dementia due to Alzheimer’s disease (AD). By definition, individuals with SCD report concerns about changes in cognitive function but perform within normal limits on formal testing. This study examined whether neuropsychology process scores on tests of auditory learning and memory (the Rey Auditory Verbal Learning Test, RAVLT) and semantic and phonemic oral fluency were able to distinguish subtle difficulties in cognition, over and above total scores. Method We used data from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS‐ND) study to examine performance in 60 cognitively normal (CN) older adults with no cognitive complaints (mean age = 69 years; mean education = 16 years), 55 participants with SCD (age = 70; education = 17), 102 with MCI (age = 72; education = 16), and 47 with AD (age = 75; education = 15). Participants were matched on age and education, except for AD participants who were older. Age and education were co‐variates in all analyses. For the RAVLT, we examined delayed recall total scores, and process measures of primacy and recency recall on the second learning trial. For fluency, we examined total scores, and process measures of clustering, switching, word frequency, and age of acquisition. Result RAVLT: An item position by group interaction revealed that primacy scores better distinguished all participant groups (CU>SCD>MCI>AD) than delayed recall (CU = SCD = MCI>AD). The left subiculum hippocampal subfield volume was positively associated with primacy scores in the MCI group, controlling for intracranial volume and age. Oral fluency: Both phonemic and semantic total scores discriminated CN, MCI, and AD participants in a stepwise manner; there was a non‐significant trend for SCD participants to perform more poorly than CN. Process scores did not provide additional discrimination. Conclusion These findings indicate that primacy scores for episodic recall are sensitive to subtle memory deficits in SCD and may reflect hippocampal atrophy, supporting the clinical use of using serial position effects in the assessment of MCI and SCD. Learning Objective(s): Participants will learn about more detailed scoring methods for common neuropsychological tests, their sensitivity to subtle cognitive deficits in SCD, and their relationship with neuroanatomical structures.

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)0.005
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
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.089
GPT teacher head0.372
Teacher spread0.283 · 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
Published2023
Admission routes1
Has abstractyes

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