Altered brain activation during memory retrieval mediates the relationship between developmental trauma and psychotic symptom severity
Bibliographic record
Abstract
BACKGROUND: Developmental trauma (DT) and poorer episodic memory performance are associated with increased risk of psychotic symptoms, but the mechanisms underlying these associations remain to be established. We sought to investigate whether memory performance and fMRI activity during the retrieval phase of an associative episodic memory task statistically mediated the relationship between trauma multiplicity and psychotic symptom severity in youth at clinical high risk for psychosis. METHODS: Measures from 795 participants in the North American Prodrome Longitudinal Study (phase two) were analysed. This included the Childhood Trauma and Abuse scale, neurocognitive measures, the Scale of Psychosis-Risk Symptoms and, in a subsample, neural activation from five regions of interest associated with memory processing (n = 219) during a paired-associate memory task (data from this task; n = 198). Linear regressions were conducted to measure whether trauma multiplicity predicted subclinical delusion and hallucination severity and neurocognitive performance, and neurocognitive measures predicted subclinical hallucination or delusion severity. We used mediation analysis when all paths were significant. RESULTS: Average functional activation in the five memory-associated regions mediated 8.74 % of the association between DT and subclinical hallucination severity, and 7.02 % between DT and delusion severity. Inferior parietal lobe activity mediated 10.08 % of the association between DT and subclinical hallucination severity, and 8.7 % between DT and subclinical delusion severity. CONCLUSIONS: These findings suggest a role of episodic memory processing and inferior parietal lobe activation in the association between DT and psychosis. Focusing further on these measures could provide insight into the underlying mechanism of this association, and have clinical implications in trauma-exposed individuals with psychosis.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".