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Record W2168074239 · doi:10.1162/jocn.2010.21428

Insula and Orbital Frontal Cortex Activity Underlying Emotion Interference Resolution in Working Memory

2010· article· en· W2168074239 on OpenAlexaff
Sara M. Levens, Elizabeth A. Phelps

Bibliographic record

VenueJournal of Cognitive Neuroscience · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyInsulaWorking memoryInferior frontal gyrusCognitive psychologyFacilitationNeuroscienceFunctional magnetic resonance imagingCognition

Abstract

fetched live from OpenAlex

Previous research has shown that emotional information aids conflict resolution in working memory [WM; Levens, S. M., & Phelps, E. A. Emotion processing effects on interference resolution in working memory. Journal of Emotion, 8, 267-280, 2008]. Using a recency-probes WM paradigm, it was found that positive and negative emotional stimuli reduced the amount of interference created when information that was once relevant conflicted with currently relevant information. To explore the neural mechanisms behind these facilitation effects, an event-related fMRI version of the recency-probes task was conducted using neutral and arousing positive and negative words as stimuli. Results replicate previous findings showing that the left and right inferior frontal gyrus (IFG) is involved in the interference resolution of neutral information and reveal that the IFG is involved in the interference resolution of emotional information as well. In addition, ROIs in the right and left anterior insula and in the right orbital frontal cortex (OFC) were identified that appear to underlie emotional interference resolution in WM. We conclude that the IFG underlies neutral and emotional interference resolution, and that additional regions of the anterior insula and OFC may contribute to the facilitation of interference resolution for emotional information. These findings clarify the role of the insula and OFC in affective and executive processing, specifically in WM conflict resolution.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.195
GPT teacher head0.389
Teacher spread0.194 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations76
Published2010
Admission routes1
Has abstractyes

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