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Record W4311979026 · doi:10.1136/jnnp-2022-bnpa.30

30 Dissociation and its biological and clinical correlates in functional neurological disorder: a systematic review and meta-analysis

2022· review· en· W4311979026 on OpenAlexaboutno aff
Malcolm C. Campbell, Abigail Smakowski, Maya Rojas-Aguiluz, Laura H. Goldstein, Etzel Cardeña, Timothy R. Nicholson, Antje ATS Reinders, Susannah Pick

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2022
Typereview
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDissociativeDissociative disordersConversion disorderDissociation (chemistry)PsycINFOPsychopathologyPsychologyPsychiatryClinical psychologyMedicineMEDLINEChemistry

Abstract

fetched live from OpenAlex

Objectives/Aims Dissociation is a potential mechanism in FND. Although scientific studies report elevated rates of dissociative symptoms in FND, a systematic assessment of the biological and clinical correlates of dissociation in FND is lacking. We aimed to systematically review the current evidence describing dissociative symptoms and disorders in functional neurological disorder (FND), and additionally conduct a meta-analysis of dissociative symptom severity in FND. We also aimed to synthesise the existing data on biological and clinical correlates of dissociation in FND. Methods We systematically searched Embase, PsycINFO, and Medline, combining terms for FND and dissociation. Studies were eligible for inclusion if reporting on dissociative symptom scale scores or rates of dissociative disorder in FND samples. Studies were appraised for methodological quality using modified Newcastle-Ottawa criteria. Findings pertaining to dissociative symptoms or disorders, as well as biological and clinical correlates of dissociation in FND samples, were synthesised qualitatively. Dissociative symptom scores were included in a meta-analysis using random and mixed effects models. Results Two-thousand and eighty-eight records were screened and seventy-nine studies were included in the final review. Dissociative symptoms were elevated in FND. The meta-analysis demonstrated a significant elevation in dissociation in FND samples relative to neurological and healthy controls, but not psychiatric controls. Dissociative disorders were frequently co-morbid in FND samples. Psychoform (cognitive) dissociation was more prominent in FND-seizures, whereas somatoform (physical) dissociation tended to be more prominent in FND-motor symptom samples. Dissociation was associated with FND symptom severity or frequency, general psychopathology, and reduced quality of life. Biological correlates of elevated dissociation included structural and functional brain alterations in regions that have previously been implicated in FND, such as the anterior cingulate cortex. Conclusions Dissociative symptoms and disorders are common in FND, and different FND subgroups appear to endorse varying degrees of psychoform or somatoform dissociation. Presence of dissociative symptoms in FND is associated with adverse clinical features; there is therefore a clinical need to assess patients with FND for dissociative symptomatology and to address these symptoms during treatment. Future research should examine dissociation further in different FND subgroups, using measures that distinguish between different types of dissociation, alongside measures of underlying pathophysiology.

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)0.016
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.036
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0170.036
Bibliometrics0.0090.010
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
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 head0.113
GPT teacher head0.364
Teacher spread0.252 · 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 designMeta-analysis
Domainnot available
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

Citations0
Published2022
Admission routes1
Has abstractyes

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