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Record W4311978790 · doi:10.1136/jnnp-2022-bnpa.36

36 Study of the prevalence of autistic traits and alexithymia, with associated psychiatric comorbidity, in an outpatient program of patients with functional neurological symptom disorder (FNSD)

2022· article· en· W4311978790 on OpenAlexaboutno aff
RICHARD J. COLE, Michael S. Elmalem, Esha Abrol, Panayiota Petrochilos

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2022
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaComorbidityAnxietyPsychiatryToronto Alexithymia ScalePsychologyClinical psychologyDepression (economics)

Abstract

fetched live from OpenAlex

Introduction Whilst higher rates of alexithymia have previously been reported in FNSD, little is known about the prevalence of autistic traits in adults with FNSD. We aim to: Report on the prevalence of autistic traits in an outpatient group of adults diagnosed with FNSD using the Autism Spectrum Quotient (AQ-10) Report on the prevalence of alexithymia using the Toronto Alexithymia Scale (TAS-20) Report on differences in symptom severity of psychiatric comorbidity between those scoring <6 or ≥6 on the AQ-10, and those with or without alexithymia Method Out of 105 consecutive patients reviewed in an outpatient FNSD program, 91 completed self-report assessments for autistic traits, alexithymia, generalised anxiety, depression, social phobia, somatic symptom severity, attention deficit hyperactivity disorder (ADHD) and dyslexia. Patients were grouped by AQ-10 scores of <6 or ≥6 and compared for significant differences in tested variables using a Mann-Whitney U test. Kruskal-Wallis H tested differences in alexithymia status. Simple effects were tested using pairwise comparisons. Results 40% screened positive on the AQ-10 (scoring ≥6), and 40% screen positive for alexithymia. When comparing those scoring < or ≥6 on the AQ-10, those with the higher number of autistic traits scored significantly higher on scales of alexithymia, depression, generalised anxiety, social phobia,ADHD, and dyslexia. Positive alexithymia status was significantly associated with a higher number of autistic traits as well symptoms of generalised anxiety, depression, somatic symptoms severity, social phobia and dyslexia. Conclusion Whilst higher rates of neurodevelopmental disorders have previously been reported in FNSD, we report new evidence for a high proportion of autistic traits and further evidence of a high prevalence of alexithymia in a group of adults with FNSD.1–10Mechanistic insights are limited however autistic traits may be associated with FNSD due to altered sensitivity to sensory data, as well as cognitive or affective biases, or increased susceptibility to panic. There may be an additional contribution from psychosocial stressors. Clinically, the AQ-10 and TAS-20 may be important tools in the management of FNSD, and a higher prevalence of autistic traits may highlight a need for specialised communication styles in the MDT.11 This builds on research exploring the relationship between autistic traits, alexithymia and FNSD. Previous research suggests that alexithymia and altered interoceptive awareness may be modifying factors in the relationship between autistic traits and FNSD,12and further research is required to clarify the nature of these relationships. References Demartini B, Nisticò V, Goeta D, Tedesco R, Giordano B, Faggioli R,et al. Clinical overlap between functional neurological disorders and autism spectrum disorders: A preliminary study.Journal of the Neurological Sciences2021 Oct;429:117648. Freedmanet al. Psychogenic nonepileptic events in pediatric patients with autism. Hatta K, Hosozawa M, Tanaka K, Shimizu T. Exploring traits of autism and their impact on functional disability in children with somatic symptom disorder.Journal of Autism and Developmental Disorders2019 Feb 15;49(2):729–37. Jester KA, Londino DL, Hayman J. 2.68 examining the occurrence of conversion disorder diagnoses and asd among adolescents and young adults in the emergency department.Journal of the American Academy of Child & Adolescent Psychiatry [Internet]. 2019 Oct 1 [cited 2022 Feb 7];58(10):S193. Available from: http://www.jaacap.org/article/S089085671931617X/fulltext McWilliams A, Reilly C, Gupta J, Hadji-Michael M, Srinivasan R, Heyman I. Autism spectrum disorder in children and young people with non-epileptic seizures.Seizure2019 Dec 1;73:51–5. Mierschet al. A retrospective study of 131 patients with psychogenic non-epileptic seizures (PNES)- Comorbid diagnoses and outcome after inpatient treatment. Nimmo-Smith V, Heuvelman H, Dalman C, Lundberg M, Idring S, Carpenter P,et’al. Anxiety disorders in adults with autism spectrum disorder: a population-based study.Journal of Autism and Developmental Disorders. 2020 Jan 1;50(1):308–18. Pun P, Frater J, Broughton M, Dob R, Lehn A. Psychological profiles and clinical clusters of patients diagnosed with functional neurological disorder.Frontiers in Neurology2020 Oct 15;11. Zdankiewicz-Scigała E, Scigała D, Sikora J, Kwaterniak W, Longobardi C. Relationship between interoceptive sensibility and somatoform disorders in adults with autism spectrum traits. The mediating role of alexithymia and emotional dysregulation.PLoS ONE. 2021 Aug 1;16(8 August). Demartini B, Petrochilos P, Ricciardi L, Price G, Edwards MJ, Joyce E. The role of alexithymia in the development of functional motor symptoms (conversion disorder).Journal of Neurology, Neurosurgery & Psychiatry [Internet]. 2014 Oct 1 [cited 2022 Feb 8];85(10):1132–7. Available from: https://jnnp.bmj.com/content/85/10/1132 Cooper M, Gale K, Langley K, Broughton T, Massey TH, Hall NJ,et al. Neurological consultation with an autistic patient.Practical Neurology [Internet]. 2021 Oct 8 [cited 2022 Jan 14];practneurol-2020-002856. Available from: https://pn.bmj.com/content/early/2021/10/07/practneurol-2020-002856 Shah P, Hall R, Catmur C, Bird G. Alexithymia, not autism, is associated with impaired interoception.Cortex2016 Aug 1;81:215–20.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.269
Teacher spread0.249 · 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 designObservational
Domainnot available
GenreEmpirical

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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