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The acute effects of intranasal oxytocin on automatic and effortful attentional shifting to emotional faces

2011· article· en· W2101839115 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychophysiology · 2011
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteConcordia University
Fundersnot available
KeywordsDisengagement theoryPsychologyOxytocinAttentional biasAngerDevelopmental psychologyCognitive psychologyAnxietyNeuroscienceClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Oxytocin is known to promote social affiliation. The mechanism by which this occurs is unknown, but it may involve changes in social information processing. In a placebo-controlled study, we examined the influence of intranasal oxytocin on effortful and automatic attentional shifting in 57 participants using a spatial cueing task with emotional and neutral faces. For effortful processing, oxytocin decreased the speed of shifting attention to sad faces presented for 750 ms and facilitated disengagement from right hemifield sad and angry faces presented for 200 ms. For automatic processing, symptoms of depression moderated the relationship between drug and disengagement. Oxytocin attenuated an attentional bias to masked angry faces on disengagement trials in persons with high depression scores. Oxytocin's influence on social behavior may occur, in part, by eliciting flexible attentional shifting in the early stages of information processing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.315
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it