Evidence map›Paper›PMID 30442088›Full record

ArticleJournal of neurodevelopmental disorders2018

An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder.

Francesca Waddington, Catharina Hartman, Yvette de Bruijn, Martijn Lappenschaar, Anoek Oerlemans, Jan Buitelaar, Barbara Franke, Nanda Rommelse

Open access · goldAbstract read
In one paragraph

Article in Journal of neurodevelopmental disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  8. Article
  9. A polygenic risk score analysis of ASD and ADHD across emotion recognition subtypes.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2021
    Article
  10. Article
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  12. Predicting Core Characteristics of ASD Through Facial Emotion Recognition and Eye Tracking in Youth.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    Article
  13. Article
  14. Neural Mechanisms of Facial Emotion Recognition in Autism: Distinct Roles for Anterior Cingulate and dlPFC.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Francesca WaddingtonDepartment of Human Genetics, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands. Francesca.Waddington@radboudumc.nl.ORCID 0000-0001-8739-6009
Catharina HartmanDepartment of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Yvette de BruijnDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
Martijn LappenschaarDepartment of Geriatrics, Radboud University Medical Centre, Nijmegen, The Netherlands.
Anoek OerlemansDepartment of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Jan BuitelaarDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
Barbara FrankeDepartment of Human Genetics, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
Nanda RommelseDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands. Nanda.Lambregts-Rommelse@radboudumc.nl.
Radboud University Nijmegen · NLUniversity Medical Center Groningen · NL

Funding

FP7 Ideas: European Research Council 115300FP7 Ideas: European Research Council 278948FP7 Ideas: European Research Council 642996H2020 European Research Council 643051Nederlandse Organisatie voor Wetenschappelijk Onderzoek 016-130-669Nederlandse Organisatie voor Wetenschappelijk Onderzoek 1750102007010Nederlandse Organisatie voor Wetenschappelijk Onderzoek 91610024
6 · The paper itself

Abstract

backgroundEmotion recognition dysfunction has been reported in both autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). This suggests that emotion recognition is a cross-disorder trait that may be utilised to understand the heterogeneous psychopathology of ASD and ADHD. We aimed to identify emotion recognition subtypes and to examine their relation with quantitative and diagnostic measures of ASD and ADHD to gain further insight into disorder comorbidity and heterogeneity.

methodsFactor mixture modelling was used on speed and accuracy measures of auditory and visual emotion recognition tasks. These were administered to children and adolescents with ASD (N = 89), comorbid ASD + ADHD (N = 64), their unaffected siblings (N = 122), ADHD (N = 111), their unaffected siblings (N = 69), and controls (N = 220). Identified classes were compared on diagnostic and quantitative symptom measures.

resultsA four-class solution was revealed, with the following emotion recognition abilities: (1) average visual, impulsive auditory; (2) average-strong visual and auditory; (3) impulsive/imprecise visual, average auditory; (4) weak visual and auditory. The weakest performing class (4) contained the highest percentage of patients (66.07%) and the lowest percentage controls (10.09%), scoring the highest on ASD/ADHD measures. The best performing class (2) demonstrated the opposite: 48.98% patients, 15.26% controls with relatively low scores on ASD/ADHD measures.

conclusionsSubgroups of youths can be identified that differ both in quantitative and qualitative aspects of emotion recognition abilities. Weak emotion recognition abilities across sensory domains are linked to an increased risk for ASD as well as ADHD, although emotion recognition impairments alone are neither necessary nor sufficient parts of these disorders.

Indexed as

EmotionsRecognition, PsychologySocial PerceptionAdolescentAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderChildCohort StudiesComorbidityFemaleHumansMaleNeuropsychological TestsSiblingsAttention-deficit/hyperactivity disorderAutism spectrum disordersEmotion recognitionFactor mixture modellingLatent class

Identifiers

PMID30442088
PMCPMC6238263
OpenAlexW2900903302

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.