Cognitive impairments in first-episode psychosis patients with attenuated niacin response
Bibliographic record
Abstract
Background: Psychosis is a complex brain disorder with diverse biological subtypes influenced by various pathogenic mechanisms, which can affect treatment efficacy. The ANR(Attenuated Niacin Response) subtype is characterized by pronounced negative symptoms and functional impairments, suggesting a distinct clinical profile. However, research on the cognitive characteristics associated with the ANR subtype in drug-naïve first-episode psychosis(FEP) patients remains limited. Methods: This observational study involved 54 FEP patients and 52 healthy controls(HC). Clinical psychopathology was assessed using the Positive and Negative Syndrome Scale(PANSS), while cognitive performance was evaluated through the Chinese version of the MATRICS Consensus Cognitive Battery(MCCB). Additionally, niacin response was measured using aqueous methylnicotinate patches, with responses quantified to classify participants into ANR or normal niacin response (NNR) groups. Results: = 0.012). The ANR group exhibited more severe negative symptoms and higher total PANSS scores compared to the NNR group, with significant differences in cognitive performance on the Trail Making test and the Brief Visuospatial Memory Test-Revised. Correlation analyses revealed a significant positive relationship between overall symptom severity and niacin response, as well as between cognitive performance and niacin response, particularly for the Trail Making and Symbol coding tests. Conclusions: This study demonstrates that the ANR subtype in first-episode psychosis is linked to more severe negative symptoms and cognitive impairments. Targeted assessments and interventions for patients with ANR may improve treatment outcomes and enhance understanding of cognitive dysfunction in psychotic disorders.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".