Neurocognitive and Dysfunctional Belief Candidate Endophenotypes of Obsessive-Compulsive and Related Disorders
Bibliographic record
Abstract
Background: The current dissertation examined neurocognitive and dysfunctional belief candidate endophenotypes (CEs) across the obsessive compulsive spectrum to elucidate general versus specific factors. This study included CEs from two etiological perspectives well established in the literature. Secondary analyses examined several CEs multidimensionally and examined the relationship between CEs and of QOL. Methods: A total of 77 participants took part in this study, divided into four groups; OCD (n = 21), Hoarding Disorder (HD; n = 16), Grooming Disorders which included both Trichotillomania and Excoriation Disorder (GD; n = 18), and control participants (n = 22). Participants completed a clinical interview and battery of neurocognitive tasks and questionnaires. Results: Those with HD performed worse than controls on measures of response inhibition and set-shifting. OCD continued to predict significant variance in number sequencing. Examination of dysfunctional belief CEs revealed specificity of Responsibility/Threat beliefs and Importance/Control of Thoughts beliefs to OCD. Perfectionism/Intolerance of Uncertainty appear to be broad CEs; however, differing specificity emerged depending on the measure utilized to measure the construct. Self-report indecision revealed specificity to OCD and HD. Differing patterns of QOL impairments emerged across the spectrum. A better understanding of CEs specificity has implications for diagnostic classification, etiology, course, and treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".