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Record W2791889521 · doi:10.1080/13803395.2018.1444737

Portable eyetracking-based assessment of memory decline

2018· article· en· W2791889521 on OpenAlexafffundabout
Jocelyne C. Whitehead, Lingqian Li, Douglas A. McQuiggan, Sara Gambino, Malcolm A. Binns, Jennifer D. Ryan

Bibliographic record

VenueJournal of Clinical and Experimental Neuropsychology · 2018
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsBaycrest HospitalPublic Health OntarioUniversity of Toronto
FundersCanadian Institutes of Health ResearchOntario Centres of Excellence
KeywordsPsychologyCognitive psychologyDevelopmental psychologyCognitive science

Abstract

fetched live from OpenAlex

INTRODUCTION: Preferential viewing of novel stimuli in the Visual Paired Comparison task has provided a useful marker of memory and medial temporal lobe function. We created a portable version of the VPC (P-VPC) and contrasted P-VPC metrics against the Montreal Cognitive Assessment (MoCA) in healthy adults, to assess the validity and reliability of the P-VPC as an indicator of memory function across age. A supplementary case series was conducted with individuals diagnosed with Alzheimer's disease (AD) and other dementias, to provide a preliminary illustration of the P-VPC's use as a measure in clinical populations. METHOD: Participants (n = 207) were tested using the P-VPC. Individuals were familiarized with a set of objects, which were each presented alongside a novel object in the test phase. Novelty viewing scores were compared to MoCA scores to index concurrent validity. Item analyses were conducted as a test of internal reliability of the P-VPC. A complementary clinical case series was conducted with AD (n = 4) and dementia (n = 5) participants, who were tested using the P-VPC and further compared to healthy age-matched participants. RESULTS: Preferential viewing decreased with age in healthy participants, and was positively correlated with MoCA scores. Compared to the MoCA, P-VPC scores did not differ based on education and/or whether English was spoken as the native language. Item analyses revealed acceptable internal consistency. P-VPC viewing percentiles of healthy participants were modeled as a function of age, and illustrated that individuals of the clinical case series diagnosed with AD scored in below-average percentiles, while those with dementia did not score below-average. CONCLUSION: Good concurrent validity and acceptable internal reliability were observed, and P-VPC scores were not confounded by education or language experience. Low performance was observed in individuals with clinically diagnosed AD, suggesting that the P-VPC may be a potential tool for screening memory decline.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.060
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.067
GPT teacher head0.511
Teacher spread0.444 · 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 teacher head, 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

Citations17
Published2018
Admission routes3
Has abstractyes

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