Acute Tryptophan Depletion Effects on the Vertex and Late Positive Potentials to Emotional Faces in Individuals with a Family History of Depression
Bibliographic record
Abstract
BACKGROUND: Depression, which is associated with dysfunctional serotonin (5-HT) activity, may be characterized by impaired emotional information processing. This study assessed the effects of acute tryptophan depletion (TRP-), which transiently lowers CNS 5-HT, on the emotion-sensitive vertex positive potential (VPP) and late positive potential (LPP) event-related potentials (ERPs) and mood in individuals with a family history of depression. The VPP and LPP are thought to index the early and later stages of motivated attentional processing, respectively. METHOD: Within a double-blind balanced design, ERPs were acquired in 18 individuals with a family history of depression (12 females) after TRP- and TRP+ (balanced) treatment while participants were presented with facial expressions (neutral, as well as sad, joy and surprise at 50 and 100% intensity) and responded to surprised faces. RESULTS: TRP- increased total mood disturbance and maintained depression scores. The VPP and LPP were larger to intense versus mild expressions. Enhanced processing of emotional versus neutral faces, as indexed by the VPP, was primarily evident with TRP-. Speeded and enhanced processing of intensely joyful versus mildly sad faces was found with TRP- (VPP indexed). Compared with TRP+, TRP also increased the VPP to mildly joyful faces. CONCLUSION: Transient 5-HT decreases in individuals with a family history of depression induce subtle changes in early stages of motivated emotional processing, though not in later ones.
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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 | 0.000 |
| 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) | 0.001 | 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".