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Record W2324643313 · doi:10.1037/neu0000132

Compromised naturalistic action performance in amnestic mild cognitive impairment.

2014· article· en· W2324643313 on OpenAlexafffund
David Gold, Norman W. Park, Angela K. Troyer, Kelly J. Murphy

Bibliographic record

VenueNeuropsychology · 2014
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsYork University
FundersCanadian Institutes of Health Research
KeywordsPsychologyEpisodic memoryCognitionCognitive psychologyNeurocognitiveDementiaExecutive functionsCognitive neuropsychologyNeuropsychologySemantic memoryDevelopmental psychologyNeuroscienceDiseaseMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Routine naturalistic actions (NAs) are familiar activities that require the production of several actions in a particular order to achieve a specific goal, such as preparing a meal or paying bills. Given that amnestic mild cognitive impairment (aMCI) has been shown to be a risk factor for dementia, a better understanding of the cognitive processes that mediate NA performance is needed in order to facilitate efforts to promote functional autonomy in this population. METHOD: Performance of 2 highly familiar NAs, and their relationship to measures of episodic memory, semantic knowledge, and executive function was systematically investigated in a sample of healthy older adults (n = 24) and individuals with aMCI (n = 24). RESULTS: In general, measures of executive function were related to commission errors, while episodic memory was associated with the omission of supporting actions. However, both errors of omission and commission appeared to draw on a diverse array of cognitive processes. CONCLUSIONS: The findings provide preliminary evidence that the cognitive correlates of NA errors may not be as process pure as previously hypothesized in neuropsychological models. A more comprehensive understanding of the cognitive underpinnings of NAs in aMCI could lead to more effective intervention programs to promote functional autonomy and delay dementia onset. Furthermore, NAs may be administered in neurocognitive assessments to identify early changes in everyday functioning and facilitate differential diagnosis between healthy aging and aMCI.

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)0.000
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 score0.050
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.036
GPT teacher head0.360
Teacher spread0.324 · 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

Citations19
Published2014
Admission routes2
Has abstractyes

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