Drawn to distraction: Anxiety impairs neural suppression of known distractor featuresin visual search
Bibliographic record
Abstract
When searching for a target, it is possible to suppress the features of a known distractor. This suppression may occur early, preventing distractor processing altogether, or only after the distractor initially captures attention. The time course of suppression may also differ as a function of attentional control abilities, such as is seen in individuals with high anxiety. In the present study (N = 48), we used event-related potentials to examine the time course of attentional enhancement and suppression when participants were given pre-trial information about target or distractor features. Consistent with our hypothesis, we found that individuals with higher levels of anxiety showed lower neural measures of suppressing the template-matching distractor, with greater evidence of enhancement. Despite this deficit in suppression, later distractor inhibition remained intact. These findings indicate that neural suppression of template-matching distractors is impaired in anxiety – highlighting the role of attentional control abilities in distractor-guided search.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".