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Record W2562914079 · doi:10.5539/ijps.v9n1p40

Effect of Cognitive Rehabilitation on Set-Shifting Attention of Adult with Mild Cognitive Impairment

2016· article· en· W2562914079 on OpenAlexvenueno aff
Arezoo Shomali Oskoei, Bita Ajilchi, Shiva Geranmayepour

Bibliographic record

VenueInternational Journal of Psychological Studies · 2016
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive rehabilitation therapyRehabilitationPsychologyCognitionPopulationCognitive impairmentTest (biology)Wisconsin Card Sorting TestPhysical therapyClinical psychologyPhysical medicine and rehabilitationPsychiatryMedicineNeuropsychology

Abstract

fetched live from OpenAlex

The aim of the study was the effect of Cognitive Rehabilitation on the Set-Shifting Attention Ability of Adult Individuals with Mild Cognitive Impairment. The present study consisted of a quasi-experimental study with pre-test and post-test stages. The statistical population consisted of subjects of more than 55 years of age, referred to a neurology clinic in Tehran/Iran in 2012. Forty patients with mild cognitive impairment were selected by convenience sampling based on the diagnosis of a neurologist and a clinical psychologist (MMSE score lower than 25 and The Wechsler Memory Test). The experimental group (20 patients) attended 12 sessions of a cognitive rehabilitation program. As evaluated, by the Wisconsin Cart Sorting Test (WCST). Data were analyzed using MANCOVA. The findings demonstrated that the mean score of the experimental group was greater than the control group (P<0.05) in terms of their shifting attention. The follow-up test revealed that the experimental group experienced an effective rehabilitation intervention over a six month period. Cognitive rehabilitation can impact on improving Shifting attention in individuals with mild cognitive impairment.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.036
GPT teacher head0.440
Teacher spread0.404 · 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
Published2016
Admission routes1
Has abstractyes

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