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Record W2505181657 · doi:10.1017/cbo9780511777042.033

Psychodynamic psychotherapy: adaptations for the treatment of patients with chronic complex post-traumatic stress disorder

2010· book-chapter· en· W2505181657 on OpenAlexaff
Pain Clare, Ruth A. Lanius, Pat Ogden, Eric Vermetten

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsAnxietyPsychologyPsychopathologyDepression (economics)MoodClinical psychologyMood disordersLocus coeruleusTraumatic stressChronic stressPsychiatryNeuroscienceCentral nervous system

Abstract

fetched live from OpenAlex

This chapter summarizes available findings on the neuroendocrine effects of exposure to trauma during early development, with a focus on a role for such alterations in the increased risk of mood and anxiety disorders in adulthood. The principal components of the stress system are the hypothalamic-pituitary-adrenal (HPA) axis, the locus ceruleus-norepinephrine (LC-NE) system and the extrahypothalamic corticotropin-releasing factor (CRF) systems. In addition, increased rates of major depression, post-traumatic stress disorder (PTSD) and attention-deficit hyperactivity disorder (ADHD) have been reported in maltreated children. The relationship between early adverse experiences and the development of adult psychopathology is likely mediated by alterations in neurobiological systems involved in the regulation of stress. Findings from the research would have important implications for the development of optimized treatment strategies that directly target different neurobiological pathways involved in depression and anxiety disorders in victims of early child maltreatment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.026
GPT teacher head0.249
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooks→Same topicChild Abuse and Trauma→French-language works237,207→