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Dysfunction in the neural circuitry of emotional self-regulation in major depressive disorder

2006· article· en· W2138903473 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

VenueNeuroreport · 2006
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversité de Montréal
Fundersnot available
KeywordsPsychologyAmygdalaFunctional magnetic resonance imagingAnterior cingulate cortexSadnessInsulaNeuroscienceMajor depressive disorderFeelingCingulate cortexCentral nervous systemClinical psychologyAngerCognition

Abstract

fetched live from OpenAlex

An inability to self-regulate negative emotions appears to play a pivotal role in the genesis of major depressive disorder. This inability may be related to a dysfunction of the neural circuitry underlying emotional self-regulation. This functional magnetic resonance imaging study was conducted to test this hypothesis. Depressed individuals and controls were scanned while they attempted to voluntarily down-regulate sad feelings. The degree of difficulty experienced during down-regulation of sadness was higher in depressed individuals. Furthermore, there was greater activation in the right dorsal anterior cingulate cortex, right anterior temporal pole, right amygdala, and right insula in depressed individuals. These results suggest that emotional dysregulation in major depressive disorder is related to a disturbance in the neural circuitry of emotional self-regulation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.241
Teacher spread0.222 · 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