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Record W2889953807 · doi:10.1037/tra0000339

An electrophysiological investigation of attentional bias in a PTSD population.

2018· article· en· W2889953807 on OpenAlexaff
Dhrasti Shah, Colin Cameron, Dylan Smith, Natalia Jaworska, Crystal Blais, Derek J. Fisher, Verner Knott

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2018
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversity of OttawaCarleton University
Fundersnot available
KeywordsAttentional biasPsychologyEvent-related potentialFacial expressionVigilance (psychology)AngerPerceptionAudiologyPopulationElectrophysiologyElectroencephalographyHypervigilancePsycINFORapid serial visual presentationFace perceptionCognitive psychologyCognitionNeuroscienceClinical psychologyMedicineMEDLINECommunication

Abstract

fetched live from OpenAlex

OBJECTIVE: Evidence relying on probe detection tasks suggests that anxious individuals exhibit an enhanced selective attentional bias toward emotional or threating stimuli, characterized by attentional vigilance or avoidance of threat. METHOD: Amplitude of P100 and P300 event-related potentials and behavioral measures of target detection were assessed during presentation of a dot-probe task in 18 posttraumatic stress disorder patients and 18 healthy controls to elucidate the effects of attentional bias toward threatening facial expressions. RESULTS: Perceptual (P100) processing of threat-face pairs revealed no evidence of attentional bias in posttraumatic stress disorder (PTSD) patients. PTSD patients exhibited larger P100 and P300 amplitude to probes replacing neutral rather than angry faces, indicating an increased allocation of early perceptual and later strategic processing away from anger-related stimuli. CONCLUSION: The present study provided no support for facilitated engagement in this sample of patients. Possible interpretations of the results related to differential processing of target probes replacing angry-neutral face pairs are discussed. (PsycINFO Database Record

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.335
GPT teacher head0.554
Teacher spread0.220 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2018
Admission routes1
Has abstractyes

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