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A theoretical framework for the neurobiology of chronic traumatization

2011· letter· en· W1485567161 on OpenAlexaff
Peter Williamson

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2011
Typeletter
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyShameAngerInsulaAmygdalaTraumatic stressCognitive psychologyNeuroscienceClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

This issue of the Acta Psychiatrica Scandinavica features an article by Lanius et al. (1) that provides the first comprehensive framework for the complex symptom constellation experienced by individuals who have suffered chronic traumatization. These symptoms include difficulties with emotional awareness, emotion regulation, self-reflection, and the experience of an often fragmented and/or intensely self-loathing sense of self. Such a theoretical framework is of great importance because many of these symptoms have often not been emphasized by traditional studies in post-traumatic stress disorders. However, the complex clinical picture described in this review including problems with emotion regulation and an altered sense of self is consistent with the revisions of the post-traumatic stress disorder criteria that have been proposed for the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Specifically, the DSM-5 proposal suggests that patients may experience ‘persistent and exaggerated negative expectations about one’s self, others, or the world’ and ‘persistent distorted blame of self or others about the cause or consequences of the traumatic event(s)’.’ In addition, ‘reckless or self-destructive behavior,’‘pervasive negative emotional state – for example: fear, horror, anger, guilt, or shame,’and‘persistent inability to experience positive emotions’ have been proposed to be part of the new criteria for post-traumatic stress disorder (2). Building on advances in social cognitive and affective neuroscience, Lanius et al. (1) have proposed that a core set of brain regions, including cortical midline structures, amygdala, insula, posterior parietal cortex, and temporal poles, is vulnerable to psychological trauma. With chronic exposure to trauma, functions associated with these regions such as emotional/self-awareness, emotion regulation, social emotional processing, and/or self-referential processing can be adversely affected. While investigations are clearly at an early stage of development, it is striking how well brain imaging anomalies in patients exposed to chronic traumatization map onto these regions. The role of the dorsomedial prefrontal cortex and the posterior cingulate in self-referential processing and anomalies in related regions in the default mode network in patients with post-traumatic stress disorder are highlighted, adding to the burgeoning literature on the default mode network and disorders of ‘mentalizing.’ A distinction is also made between patients who show significant symptoms of depersonalization, derealization, and analgesia and patients who predominantly exhibit re-experiencing and flashback-type symptoms; the latter demonstrated a failure of prefrontal inhibition of limbic regions, and the former showed increased prefrontal inhibition of limbic regions (3). Parsing out the components of the emotional processing dysfunction in patients with post-traumatic stress disorder is much more than an academic exercise. The presence of emotional dysregulation can have treatment implications whether it arises from fear conditioning (4) or the unavailability of a responsive attachment figure during childhood (5). Successful exposure therapies depend on the ability of the patient to form a therapeutic alliance and fully emotionally engage with the traumatic material. A failure to address deficits in emotion regulation or emotional awareness before exposure-based treatments interferes with the therapeutic process leading to less than satisfactory outcomes. Recognizing these complex adaptations to psychological trauma will have important implications for the assessment, treatment, and furthering the understanding of the neurobiological underpinnings of this devastating disorder. It may be too much to expect that brain imaging correlates of trauma could lead to the ability to predict which patients are at particular risk or the type of treatment to which they are likely to respond but then again, it might not.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.005
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.015
Scholarly communication0.0050.005
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.057
GPT teacher head0.365
Teacher spread0.308 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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".

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Citations21
Published2011
Admission routes1
Has abstractyes

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