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Record W3214062763 · doi:10.32920/ryerson.14654649.v1

The Neuropsychological Profile of Obsessive-Compulsive Disorder in Young Adults

2021· preprint· en· W3214062763 on OpenAlexaff
Syb Pongracic

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsNeuropsychologyPsychologyAnxietyCognitionYoung adultEffects of sleep deprivation on cognitive performanceSet (abstract data type)Clinical psychologyDevelopmental psychologyAudiologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

The purpose of this thesis is to compare the cognitive functioning in young adults with OCD against same-aged healthy controls. Current neuropsychological findings in adults with OCD are mixed, thus by examining cognitive functioning in young adults with OCD aged 18-29 years could clarify whether deficits emerge during this time. A neuropsychological battery was administered to both groups. Results: Comparable performance was found in inhibitory control, information processing speed, motor speed and manual dexterity, but deficits appeared in the OCD group on decision-making, set shifting, copy time of a complex figure, and verbal memory. State anxiety showed a large effect that was correlated to performance deficits. Conclusions: Young adults with OCD have similar cognitive profiles as their healthy counterparts but they may be more anxious in testing situations. Replication of these findings with a larger sample is necessary to better understand the cognitive profile in young adults with OCD.

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)0.002
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
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.013
GPT teacher head0.299
Teacher spread0.286 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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