Cognitive subtypes in youth at clinical high risk for psychosis
Bibliographic record
Abstract
AIMS: This study aimed to identify and characterize cognitive subtypes among youth at clinical high risk (CHR) for psychosis. METHODS: We conducted a cluster analysis on cognitive measures in a large sample of CHR patients (CHR; n = 764) and healthy controls (HCs; n = 280) from NAPLS-2 (North American Prodrome Longitudinal Study 2). These findings were independently validated using a comparably large sample from NAPLS-3 (n = 628 CHR, 84 HCs). Statistical approaches were employed to compare cognitive, clinical, and functional trajectories at baseline and during 24 months of follow-up, with further analysis of conversion status within these clusters. RESULTS: Two cognitive clusters, "impaired" and "intact," were identified in the CHR group. Baseline differences in verbal abilities and attention and working memory domains distinguished the cognitively intact cluster from HCs. Longitudinally, the impaired group displayed a 'floor' effect, with no noticeable deterioration, but showed a "catch-up" trajectory in attention and working memory. This group had a higher conversion rate and more cases diagnosed with psychotic disorders than the intact group. In the intact group, converters exhibited a decline in attention and functioning. Most cognitive trajectories showed a positive relationship with functional outcomes. CONCLUSIONS: The study provides evidence for distinct cognitive subtypes in CHR, independent of conversion status. Early evaluation across cognitive domains is crucial for identifying trajectories to tailor interventions that aim to enhance outcomes for individuals at CHR for psychosis. Future research should focus on longer follow-up trajectories targeting attention and working memory and explore related intervention strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".