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Record W2164908515 · doi:10.1176/foc.8.1.foc92

Neuroimaging Studies of Psychological Interventions for Mood and Anxiety Disorders: Empirical and Methodological Review

2010· article· en· W2164908515 on OpenAlexaff
Paul Frewen, David J. A. Dozois, Ruth A. Lanius

Bibliographic record

VenueFOCUS The Journal of Lifelong Learning in Psychiatry · 2010
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsWestern University
Fundersnot available
KeywordsAnxietyPsychological interventionNeuroimagingPsychologyMoodClinical psychologyMood disordersPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

This article reviews the methods and results of published neuroimaging studies of the effects of structured psychological interventions for mood and anxiety disorders. The results are consistent with neural models of improved affective- and self-regulation, as evidenced by psychotherapeutic modulation of brain metabolic activity within the dorsolateral, ventrolateral, and medial prefrontal cortices, the anterior cingulate, the posterior cingulate/precuneus, and the insular cortices. Specific recommendations for future studies are outlined, and the clinical and theoretical significance of this research is discussed. (Reprinted with permission from Clinical Psychology Review 28 (2008) 228–246)

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Methods · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
models splitAgreement compares identical category sets and study designs across arms.

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)0.008
metaresearch head score (Gemma)0.003
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 score0.149
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.297
GPT teacher head0.577
Teacher spread0.280 · 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

Labeled directly by 2 models reading the full record.

Metaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Systematic review
DomainMethods
GenreReview

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

Citations56
Published2010
Admission routes1
Has abstractyes

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