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Shepard EC, Ruben M, Weyandt LL. Emotion Recognition Accuracy Among Individuals With ADHD: A Systematic Review. J Atten Disord 2025; 29:174-194. [PMID: 39614669 PMCID: PMC11781233 DOI: 10.1177/10870547241297005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2024]
Abstract
OBJECTIVE The aim of the present systematic review was to consolidate findings related to emotion recognition accuracy among individuals with attention deficit hyperactivity disorder (ADHD). The review also examined emotion recognition accuracy assessment methods as well as the contribution of gender to emotional recognition accuracy. METHOD A total of 43 articles were identified based on inclusion criteria using PRISMA guidelines for article retrieval. RESULTS 58% of retrieved articles reported significantly decreased emotion recognition accuracy among individuals with ADHD relative to neurotypical peers, with either global or emotion-specific differences identified. Notably, studies finding a significant difference in emotion recognition accuracy were of significantly lower quality according to a quality review checklist than the articles finding no difference (p < .001). For example, when use of control conditions and multiple measures of emotion recognition accuracy were employed, no study found a significant difference in emotion recognition accuracy between individuals with and without ADHD. Regarding potential gender differences, not a single study included gender diversity beyond sex assigned at birth. The majority (86%) of studies included a predominantly male sample, with 15% including only male participants. While differences in emotion recognition accuracy were found between male and female participants in 7% of cases, future research is needed to identify the contribution of gender diversity.
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Affiliation(s)
- Emily C. Shepard
- Department of Psychology, University of Rhode Island, Kingston, USA
| | - Mollie Ruben
- Department of Psychology, University of Rhode Island, Kingston, USA
| | - Lisa L. Weyandt
- Department of Psychology, University of Rhode Island, Kingston, USA
- Intedisciplinary Neuroscience Program, University of Rhode Island, Kingston, USA
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2
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Varheenmaa M, Lehto SM, Rizzo P, Steinhausen HC, Drechsler R, Brem AK. Facial emotion recognition in children with attention deficit hyperactivity disorder. Nord J Psychiatry 2024; 78:634-643. [PMID: 39294899 PMCID: PMC11458127 DOI: 10.1080/08039488.2024.2403589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 07/23/2024] [Accepted: 09/02/2024] [Indexed: 09/21/2024]
Abstract
OBJECTIVE Attention Deficit Hyperactivity Disorder (ADHD) is defined as a persistent pattern of inattention and hyperactivity-impulsivity that interferes with functioning anofd development. Increased emotional reactivity and impaired emotion regulation are established findings in children with ADHD. Impairments in executive functions such as impulse control and working memory, in turn, have also been suggested to have a negative effect on emotion recognition. However, studies exploring suspected deficits in the ability to recognise facial emotions in ADHD have to date yielded controversial results. We sought to clarify the mechanism of possible emotion recognition dysfunction in children with ADHD. METHODS Sixty-one children diagnosed with ADHD (aged 10.36 ± 1.89 years) and a control group (N = 78; aged 9.6 ± 1.8 years) were evaluated with questionnaires and computerized tests for cognitive and facial emotion recognition capacity. RESULTS The ADHD group displayed more behavioural issues and performed worse in cognitive tests compared to the control group. Group status (i.e. ADHD vs. control group) did not predict facial emotion recognition when controlled for age, IQ and sex in linear regression models. Performance in Divided Attention predicted facial emotion recognition in linear regression in the ADHD group. CONCLUSIONS Individuals with ADHD showed facial emotion recognition capacity similar to a typically developing control group. Good performance in a cognitive test assessing divided attention predicted capacity for facial emotion recognition, but only in the ADHD group.
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Affiliation(s)
- Markus Varheenmaa
- Department of Psychiatry, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Soili M. Lehto
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- R&D department, Division of Mental Health Services, Akershus University Hospital, Lørenskog, Norway
- Department of Psychiatry, University of Helsinki, Helsinki, Finland
| | - Patrizia Rizzo
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital, Zurich University, Switzerland
| | - Hans-Christoph Steinhausen
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital, Zurich University, Switzerland
- Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Switzerland
- Department of Child and Adolescent Psychiatry, University of Southern Denmark, Odense, Denmark
| | - Renate Drechsler
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital, Zurich University, Switzerland
| | - Anna-Katharine Brem
- Centre for Healthy Brain Ageing, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- University Hospital of Old Age Psychiatry, University of Bern, Bern, Switzerland
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3
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Sells RC, Liversedge SP, Chronaki G. Vocal emotion recognition in attention-deficit hyperactivity disorder: a meta-analysis. Cogn Emot 2024; 38:23-43. [PMID: 37715528 DOI: 10.1080/02699931.2023.2258590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/06/2023] [Accepted: 06/28/2023] [Indexed: 09/17/2023]
Abstract
There is debate within the literature as to whether emotion dysregulation (ED) in Attention-Deficit Hyperactivity Disorder (ADHD) reflects deviant attentional mechanisms or atypical perceptual emotion processing. Previous reviews have reliably examined the nature of facial, but not vocal, emotion recognition accuracy in ADHD. The present meta-analysis quantified vocal emotion recognition (VER) accuracy scores in ADHD and controls using robust variance estimation, gathered from 21 published and unpublished papers. Additional moderator analyses were carried out to determine whether the nature of VER accuracy in ADHD varied depending on emotion type. Findings revealed a medium effect size for the presence of VER deficits in ADHD, and moderator analyses showed VER accuracy in ADHD did not differ due to emotion type. These results support the theories which implicate the role of attentional mechanisms in driving VER deficits in ADHD. However, there is insufficient data within the behavioural VER literature to support the presence of emotion processing atypicalities in ADHD. Future neuro-imaging research could explore the interaction between attention and emotion processing in ADHD, taking into consideration ADHD subtypes and comorbidities.
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Affiliation(s)
- Rohanna C Sells
- School of Psychology and Computer Science, University of Central Lancashire, UK
| | - Simon P Liversedge
- School of Psychology and Computer Science, University of Central Lancashire, UK
| | - Georgia Chronaki
- School of Psychology and Computer Science, University of Central Lancashire, UK
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4
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Löytömäki J, Laakso ML, Huttunen K. Social-Emotional and Behavioural Difficulties in Children with Neurodevelopmental Disorders: Emotion Perception in Daily Life and in a Formal Assessment Context. J Autism Dev Disord 2023; 53:4744-4758. [PMID: 36184695 PMCID: PMC10627915 DOI: 10.1007/s10803-022-05768-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2022] [Indexed: 10/10/2022]
Abstract
Children with neurodevelopmental disorders often have social-emotional and behavioural difficulties. The present study explored these difficulties in children (n = 50, aged 6-10 years) with autism spectrum disorder, attention-deficit/hyperactivity disorder and developmental language disorder. Parents, teachers and therapists evaluated children's social-emotional and behavioural difficulties through a self-devised questionnaire and the Strengths and Difficulties Questionnaire. Additionally, the children, along with their typically developing age peers (n = 106), completed six emotion discrimination tasks. Analysis revealed some impaired emotion discrimination skills that were predictive for behavioural challenges in daily life and associated with the parent-reported existence of friends. Timely intervention in these children is needed, and it should also include emotion perception training.
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Affiliation(s)
- Joanna Löytömäki
- Faculty of Humanities/Research Unit of Logopedics, University of Oulu, P.O. Box 1000, 90014, Oulun yliopisto, Finland.
| | - Marja-Leena Laakso
- Department of Education, University of Jyvaskyla, Finland PL 35, 40014, Jyvaskylan yliopisto, Finland
| | - Kerttu Huttunen
- Faculty of Humanities/Research Unit of Logopedics, University of Oulu, P.O. Box 1000, 90014, Oulun yliopisto, Finland
- Department of Otorhinolaryngology, Head and Neck Surgery, Oulu University Hospital, Oulu, Finland
- Medical Research Center Oulu, Oulu, Finland
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5
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Olaya-Galindo MD, Vargas-Cifuentes OA, Vélez Van-Meerbeke A, Talero-Gutiérrez C. Establishing the Relationship Between Attention Deficit Hyperactivity Disorder and Emotional Facial Expression Recognition Deficit: A Systematic Review. J Atten Disord 2023; 27:1181-1195. [PMID: 36843351 PMCID: PMC10466982 DOI: 10.1177/10870547231154901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
OBJECTIVE In this review, we examined if there is a deficit in facial recognition of emotion (FER) in children, adolescents, and adults with attention deficit hyperactivity disorder (ADHD). BACKGROUND Emotional regulation is impaired in ADHD. Although a facial emotion recognition deficit has been described in this condition, the underlying causal mechanisms remain unclear. METHODS The search was performed in six databases in September 2022. Studies assessing children, adolescents, or adults with isolated or comorbid ADHD that evaluated participants using a FER task were included. RESULTS Twelve studies out of 385 were selected, with participants ranging in age from 6 to 37.1 years. A deficit in FER specific to ADHD, or secondary to comorbid autism spectrum disorder, anxiety, and oppositional symptoms, was found. CONCLUSIONS There is a FER deficit in patients with ADHD. Adults showed improved recognition accuracy, reflecting partial compensation. ADHD symptoms and comorbidities appear to influence FER deficits.
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Affiliation(s)
- Maria Daniela Olaya-Galindo
- Neuroscience research group (NeURos), NeuroVitae Center for Neuroscience, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Oscar Alberto Vargas-Cifuentes
- Neuroscience research group (NeURos), NeuroVitae Center for Neuroscience, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Alberto Vélez Van-Meerbeke
- Neuroscience research group (NeURos), NeuroVitae Center for Neuroscience, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Claudia Talero-Gutiérrez
- Neuroscience research group (NeURos), NeuroVitae Center for Neuroscience, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
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6
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Gonçalves AM, Monteiro P. Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing. J Neural Transm (Vienna) 2023; 130:325-408. [PMID: 36914900 PMCID: PMC10033482 DOI: 10.1007/s00702-023-02595-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/17/2023] [Indexed: 03/15/2023]
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with a wide spectrum of symptoms, mainly characterized by social, communication, and cognitive impairments. Latest diagnostic criteria according to DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, 2013) now include sensory issues among the four restricted/repetitive behavior features defined as "hyper- or hypo-reactivity to sensory input or unusual interest in sensory aspects of environment". Here, we review auditory sensory alterations in patients with ASD. Considering the updated diagnostic criteria for ASD, we examined research evidence (2015-2022) of the integrity of the cognitive function in auditory-related tasks, the integrity of the peripheral auditory system, and the integrity of the central nervous system in patients diagnosed with ASD. Taking into account the different approaches and experimental study designs, we reappraise the knowledge on auditory sensory alterations and reflect on how these might be linked with behavior symptomatology in ASD.
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Affiliation(s)
- Ana Margarida Gonçalves
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal
| | - Patricia Monteiro
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.
- Experimental Biology Unit, Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal.
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7
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Leung FYN, Stojanovik V, Micai M, Jiang C, Liu F. Emotion recognition in autism spectrum disorder across age groups: A cross-sectional investigation of various visual and auditory communicative domains. Autism Res 2023; 16:783-801. [PMID: 36727629 DOI: 10.1002/aur.2896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/19/2023] [Indexed: 02/03/2023]
Abstract
Previous research on emotion processing in autism spectrum disorder (ASD) has predominantly focused on human faces and speech prosody, with little attention paid to other domains such as nonhuman faces and music. In addition, emotion processing in different domains was often examined in separate studies, making it challenging to evaluate whether emotion recognition difficulties in ASD generalize across domains and age cohorts. The present study investigated: (i) the recognition of basic emotions (angry, scared, happy, and sad) across four domains (human faces, face-like objects, speech prosody, and song) in 38 autistic and 38 neurotypical (NT) children, adolescents, and adults in a forced-choice labeling task, and (ii) the impact of pitch and visual processing profiles on this ability. Results showed similar recognition accuracy between the ASD and NT groups across age groups for all domains and emotion types, although processing speed was slower in the ASD compared to the NT group. Age-related differences were seen in both groups, which varied by emotion, domain, and performance index. Visual processing style was associated with facial emotion recognition speed and pitch perception ability with auditory emotion recognition in the NT group but not in the ASD group. These findings suggest that autistic individuals may employ different emotion processing strategies compared to NT individuals, and that emotion recognition difficulties as manifested by slower response times may result from a generalized, rather than a domain-specific underlying mechanism that governs emotion recognition processes across domains in ASD.
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Affiliation(s)
- Florence Y N Leung
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.,Department of Psychology, University of Bath, Bath, UK
| | - Vesna Stojanovik
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Martina Micai
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Cunmei Jiang
- Music College, Shanghai Normal University, Shanghai, China
| | - Fang Liu
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
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8
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Bretthauer J, Canu D, Thiemann U, Fleischhaker C, Brauner H, Müller K, Smyrnis N, Biscaldi M, Bender S, Klein C. Attention for Emotion-How Young Adults With Neurodevelopmental Disorders Look at Facial Expressions of Affect. Front Psychiatry 2022; 13:842896. [PMID: 35782441 PMCID: PMC9240263 DOI: 10.3389/fpsyt.2022.842896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 05/20/2022] [Indexed: 11/13/2022] Open
Abstract
While Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD) and Schizophrenia (SCZ) differ in many clinically relevant features such as symptomatology and course, they may also share genetic underpinnings, affective problems, deviancies in social interactions, and are all characterized by some kind of cognitive impairment. This situation calls for a joint investigation of the specifics of cognitive (dys-)functions of the three disorders. Such endeavor should focus, among other domains, on the inter-section of processing cognitive, affective and social information that is crucial in effective real-life interactions and can be accomplished when attentional preferences for human facial expressions of emotions is studied. To that end, attention to facial expressions of basic emotions was examined in young adults with ASD, ADHD, or SCZ in the present study. The three clinical groups were compared with an age-matched group of typically-developing participants (TD) during the free contemplation of five different facial emotions presented simultaneously, by varying identities, through the registration of eye movements. We showed, that dwell times and fixation counts differed for the different emotions in TD and in a highly similar way in ADHD. Patients with ASD differed from TD by showing a stronger differentiation between emotions and partially different attentional preferences. In contrast, the SCZ group showed an overall more restricted scanning behavior and a lack of differentiation between emotions. The ADHD group, showed an emotion-specific gazing pattern that was highly similar to that of controls. Thus, by analyzing eye movements, we were able to differentiate three different viewing patterns that allowed us to distinguish between the three clinical groups. This outcome suggests that attention for emotion may not tap into common pathophysiological processes and argues for a multi-dimensional approach to the grouping of disorders with neurodevelopmental etiology.
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Affiliation(s)
- Jana Bretthauer
- Department of Child and Adolescent Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Daniela Canu
- Clinic for Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ulf Thiemann
- Clinic for Psychiatry, Psychosomatics und Psychotherapy in Children and Adolescents, LVR Hospital, Bonn, Germany
| | - Christian Fleischhaker
- Clinic for Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Heike Brauner
- Kinder- und Jugendwohnheim Leppermühle, Buseck, Germany
| | | | - Nikolaos Smyrnis
- Second Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, University General Hospital “Attikon”, Athens, Greece
| | - Monica Biscaldi
- Clinic for Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Stephan Bender
- Department of Child and Adolescent Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Christoph Klein
- Department of Child and Adolescent Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
- Clinic for Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
- Second Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, University General Hospital “Attikon”, Athens, Greece
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9
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Leung FYN, Sin J, Dawson C, Ong JH, Zhao C, Veić A, Liu F. Emotion recognition across visual and auditory modalities in autism spectrum disorder: A systematic review and meta-analysis. DEVELOPMENTAL REVIEW 2022. [DOI: 10.1016/j.dr.2021.101000] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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10
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Rosello R, Martinez-Raga J, Mira A, Pastor JC, Solmi M, Cortese S. Cognitive, social, and behavioral manifestations of the co-occurrence of autism spectrum disorder and attention-deficit/hyperactivity disorder: A systematic review. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 26:743-760. [PMID: 34961363 DOI: 10.1177/13623613211065545] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT This work aimed to review recent research on the characteristics of individuals who have both autism spectrum disorder and attention-deficit/hyperactivity disorder due to their high co-occurrence. Thirty-four studies were analyzed and main findings summarized in two content domains focusing on areas that could enhance our understanding of the cognitive and behavioral characteristics of individuals with autism spectrum disorder + attention-deficit/hyperactivity disorder (ASD+). Most of the results suggested that ASD+ is a co-occurring condition associated with more severe impairments in cognitive functioning, adaptive behavior, and increased likelihood to present more emotional/behavioral problems. These results will be helpful to provide improved care plans for individuals with both attention-deficit/hyperactivity disorder and autism spectrum disorder.
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11
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Waddington F, Franke B, Hartman C, Buitelaar JK, Rommelse N, Mota NR. A polygenic risk score analysis of ASD and ADHD across emotion recognition subtypes. Am J Med Genet B Neuropsychiatr Genet 2021; 186:401-411. [PMID: 32815639 PMCID: PMC9290011 DOI: 10.1002/ajmg.b.32818] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/06/2020] [Accepted: 07/29/2020] [Indexed: 11/17/2022]
Abstract
This study investigated the genetic components of ADHD and ASD by examining the cross-disorder trait of emotion recognition problems. The genetic burden for ADHD and ASD on previously identified emotion recognition factors (speed and accuracy of visual and auditory emotion recognition) and classes (Class 1: Average visual, impulsive auditory; Class 2: Average-strong visual & auditory; Class 3: Impulsive & imprecise visual, average auditory; Class 4: Weak visual & auditory) was assessed using ASD and ADHD polygenic risk scores (PRS). Our sample contained 552 participants: 74 with ADHD, 85 with ASD, 60 with ASD + ADHD, 177 unaffected siblings of ADHD or ASD probands, and 156 controls. ADHD- and ASD-PRS, calculated from the latest ADHD and ASD GWAS meta-analyses, were analyzed across these emotion recognition factors and classes using linear mixed models. Unexpectedly, the analysis of emotion recognition factors showed higher ASD-PRS to be associated with faster visual emotion recognition. The categorical analysis of emotion recognition classes showed ASD-PRS to be reduced in Class 3 compared to the other classes (p value threshold [pT] = 1, p = .021). A dimensional analysis identified a high ADHD-PRS reduced the probability of being assigned to the Class 1 or Class 3 (pT = .05, p = .028 and p = .044, respectively). Though these nominally significant results did not pass FDR correction, they potentially indicate different indirect causative chains from genetics via emotion recognition to ADHD and ASD, which need to be verified in future research.
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Affiliation(s)
- Francesca Waddington
- Department of Human Genetics, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenNetherlands,Donders Institute for Brain, Cognition and Behaviour, Centre for Medical NeuroscienceRadboud UniversityNijmegenNetherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenNetherlands,Donders Institute for Brain, Cognition and Behaviour, Centre for Medical NeuroscienceRadboud UniversityNijmegenNetherlands,Department of Psychiatry, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenNetherlands
| | - Catharina Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center GroningenUniversity of GroningenGroningenNetherlands
| | - Jan K. Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Centre for Medical NeuroscienceRadboud UniversityNijmegenNetherlands,Karakter Child and Adolescent Psychiatry University CentreNijmegenNetherlands,Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenNetherlands
| | - Nanda Rommelse
- Donders Institute for Brain, Cognition and Behaviour, Centre for Medical NeuroscienceRadboud UniversityNijmegenNetherlands,Department of Psychiatry, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenNetherlands,Karakter Child and Adolescent Psychiatry University CentreNijmegenNetherlands
| | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenNetherlands,Donders Institute for Brain, Cognition and Behaviour, Centre for Medical NeuroscienceRadboud UniversityNijmegenNetherlands
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12
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Knott R, Johnson BP, Tiego J, Mellahn O, Finlay A, Kallady K, Kouspos M, Mohanakumar Sindhu VP, Hawi Z, Arnatkeviciute A, Chau T, Maron D, Mercieca EC, Furley K, Harris K, Williams K, Ure A, Fornito A, Gray K, Coghill D, Nicholson A, Phung D, Loth E, Mason L, Murphy D, Buitelaar J, Bellgrove MA. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology. Mol Autism 2021; 12:55. [PMID: 34353377 PMCID: PMC8340366 DOI: 10.1186/s13229-021-00457-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 07/05/2021] [Indexed: 11/20/2022] Open
Abstract
Background ASD and ADHD are prevalent neurodevelopmental disorders that frequently co-occur and have strong evidence for a degree of shared genetic aetiology. Behavioural and neurocognitive heterogeneity in ASD and ADHD has hampered attempts to map the underlying genetics and neurobiology, predict intervention response, and improve diagnostic accuracy. Moving away from categorical conceptualisations of psychopathology to a dimensional approach is anticipated to facilitate discovery of data-driven clusters and enhance our understanding of the neurobiological and genetic aetiology of these conditions. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project is one of the first large-scale, family-based studies to take a truly transdiagnostic approach to ASD and ADHD. Using a comprehensive phenotyping protocol capturing dimensional traits central to ASD and ADHD, the MAGNET project aims to identify data-driven clusters across ADHD-ASD spectra using deep phenotyping of symptoms and behaviours; investigate the degree of familiality for different dimensional ASD-ADHD phenotypes and clusters; and map the neurocognitive, brain imaging, and genetic correlates of these data-driven symptom-based clusters. Methods The MAGNET project will recruit 1,200 families with children who are either typically developing, or who display elevated ASD, ADHD, or ASD-ADHD traits, in addition to affected and unaffected biological siblings of probands, and parents. All children will be comprehensively phenotyped for behavioural symptoms, comorbidities, neurocognitive and neuroimaging traits and genetics. Conclusion The MAGNET project will be the first large-scale family study to take a transdiagnostic approach to ASD-ADHD, utilising deep phenotyping across behavioural, neurocognitive, brain imaging and genetic measures. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00457-3.
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Affiliation(s)
- Rachael Knott
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia.
| | - Beth P Johnson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Olivia Mellahn
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kathryn Kallady
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Maria Kouspos
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Vishnu Priya Mohanakumar Sindhu
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Tracey Chau
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Dalia Maron
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Emily-Clare Mercieca
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kirsten Furley
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Katrina Harris
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Department of Developmental Paediatrics, Monash Children's Hospital, 246 Clayton Rd, Clayton, VIC, 3168, Australia
| | - Katrina Williams
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Department of Developmental Paediatrics, Monash Children's Hospital, 246 Clayton Rd, Clayton, VIC, 3168, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
| | - Alexandra Ure
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Department of Mental Health, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Neurodevelopment and Disability Research, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kylie Gray
- Centre for Educational Development, Appraisal, and Research, University of Warwick, Coventry, CV4 7AL, UK.,Department of Psychiatry, School of Clinical Sciences, Monash University, 246 Clayton Rd, Melbourne, VIC, 3168, Australia
| | - David Coghill
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.,Department of Mental Health, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Neurodevelopment and Disability Research, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Ann Nicholson
- Faculty of Information and Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Dinh Phung
- Faculty of Information and Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Eva Loth
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Luke Mason
- Centre for Brain and Cognitive Development, Birkbeck, University of London, Henry Welcome Building, Malet Street, London, WC1E 7HX, UK
| | - Declan Murphy
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
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13
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Wang LJ, Lee SY, Tsai CS, Lee MJ, Chou MC, Kuo HC, Chou WJ. Validity of Visual and Auditory Attention Tests for Detecting ADHD. J Atten Disord 2021; 25:1160-1169. [PMID: 31777308 DOI: 10.1177/1087054719887433] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective: This investigation examines the discriminative validity of visual and auditory attention tests for differentiating patients with ADHD from healthy control participants. Method: A total of 107 ADHD patients and 58 healthy control participants were recruited. Visual and auditory attention profiles were obtained using the Conners' Continuous Performance Test 3rd Edition (CPT3) and Conners' Continuous Auditory Test of Attention (CATA), respectively. Results: We found that ADHD patients underperformed healthy controls on all CPT3 and CATA indexes, except Response Style and Hit Reaction Time. The CPT3, CATA, and CPT3 plus CATA all significantly differentiate ADHD patients and controls. CPT3 plus CATA had a greater sensitivity (82.6%), specificity (76%), positive predictive value (88.8%), negative predictive value (65.5%), and overall correct classification rate (80.6%) than CPT3 or CATA alone. Conclusion: Neuropsychological tests CPT3 and CATA provide objective information about cases of ADHD and should be used routinely for clinical assessment.
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Affiliation(s)
- Liang-Jen Wang
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Sheng-Yu Lee
- Department of Psychiatry, Kaohsiung Veterans General Hospital.,Department of Psychiatry, College of Medicine, Graduate Institute of Medicine, School of Medicine, Kaohsiung Medical University
| | - Ching-Shu Tsai
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Min-Jing Lee
- Department of Child and Adolescent Psychiatry, Chiayi Chang Gung Memorial Hospital
| | - Miao-Chun Chou
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Ho-Chang Kuo
- Department of Pediatrics and Kawasaki Disease Center, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine
| | - Wen-Jiun Chou
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
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14
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Tang TB, Chong JS, Kiguchi M, Funane T, Lu CK. Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity. IEEE Trans Neural Syst Rehabil Eng 2021; 29:894-904. [PMID: 33970862 DOI: 10.1109/tnsre.2021.3078460] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
In this study, we proposed an analytical framework to identify dynamic task-based functional connectivity (FC) features as new biomarkers of emotional sensitivity in nursing students, by using a combination of unsupervised and supervised machine learning techniques. The dynamic FC was measured by functional Near-Infrared Spectroscopy (fNIRS), and computed using a sliding window correlation (SWC) analysis. A k -means clustering technique was applied to derive four recurring connectivity states. The states were characterized by both graph theory and semi-metric analysis. Occurrence probability and state transition were extracted as dynamic FC network features, and a Random Forest (RF) classifier was implemented to detect emotional sensitivity. The proposed method was trialled on 39 nursing students and 19 registered nurses during decision-making, where we assumed registered nurses have developed strategies to cope with emotional sensitivity. Emotional stimuli were selected from International Affective Digitized Sound System (IADS) database. Experiment results showed that registered nurses demonstrated single dominant connectivity state of task-relevance, while nursing students displayed in two states and had higher level of task-irrelevant state connectivity. The results also showed that students were more susceptive to emotional stimuli, and the derived dynamic FC features provided a stronger discriminating power than heart rate variability (accuracy of 81.65% vs 71.03%) as biomarkers of emotional sensitivity. This work forms the first study to demonstrate the stability of fNIRS based dynamic FC states as a biomarker. In conclusion, the results support that the state distribution of dynamic FC could help reveal the differentiating factors between the nursing students and registered nurses during decision making, and it is anticipated that the biomarkers might be used as indicators when developing professional training related to emotional sensitivity.
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15
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Dessoki HH, Amin OR, Soltan MR, Abbas MM, Dawoud ME. Social cognitive deficits in male children with attention deficit hyperactivity disorder in relation to salivary oxytocin level. MIDDLE EAST CURRENT PSYCHIATRY 2020. [DOI: 10.1186/s43045-020-00020-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
There is evidence supporting a pathophysiological role of oxytocin in attention deficit hyperactive disorder (ADHD) especially hyperactive and combined subtypes. It is known that children with ADHD show a high rate of social cognitive problems regarding emotion recognition. Oxytocin was assumed to play a role in the emergence of social cognition deficits in ADHD. Aim of this study is to assess social cognition (emotion recognition) deficits in relation to oxytocin level in different subtypes of ADHD among the study group. Forty male patients with ADHD were recruited from psychiatric outpatient clinic of Fayoum University Hospital, were diagnosed according to DSM-5, and were assessed using Conner’s parent rating scale–revised (L). Social cognition measured by CANTAB emotion recognition task (ERT) and the level of salivary oxytocin was measured by ELISA technique.
Results
Combined subtype had been lower in correctly detecting the emotions of fear and anger. Predominately, hyperactive impulsive ADHD subtype was more rapid while detecting the emotions of surprise and disgust. There was significant negative correlation between age of onset of ADHD and errors in detecting the emotion of anger and positive correlation between age of onset of ADHD and errors in detecting the emotion of surprise. Correct detection of the emotion of happiness was associated with increased oxytocin level but the correct detection of the emotion of fear was inversely related to oxytocin level. No statistically significant difference between different subtypes of ADHD regarding salivary oxytocin level.
Conclusion
Oxytocin may play a role in social cognitive deficits in ADHD. The presence of social cognitive deficits in ADHD prompts further investigations to focus on the specificity of these deficits and in turn identify ways of managing them. Studying oxytocin in this population and its relation to social cognitive deficits can support the notion that oxytocin is a biological marker for ADHD.
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16
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Kleine Deters R, Naaijen J, Rosa M, Aggensteiner PM, Banaschewski T, Saam MC, Schulze UME, Sethi A, Craig MC, Sagar-Ouriaghli I, Santosh P, Castro-Fornieles J, Penzol MJ, Arango C, Werhahn JE, Brandeis D, Franke B, Glennon J, Buitelaar JK, Hoekstra PJ, Dietrich A. Executive functioning and emotion recognition in youth with oppositional defiant disorder and/or conduct disorder. World J Biol Psychiatry 2020; 21:539-551. [PMID: 32212964 DOI: 10.1080/15622975.2020.1747114] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Objectives: Executive functioning and emotion recognition may be impaired in disruptive youth, yet findings in oppositional defiant disorder (ODD) and conduct disorder (CD) are inconsistent. We examined these functions related to ODD and CD, accounting for comorbid attention-deficit/hyperactivity disorder (ADHD) and internalising symptoms.Methods: We compared executive functioning (visual working memory, visual attention, inhibitory control) and emotion recognition between youth (8-18 years old, 123 boys, 55 girls) with ODD (n = 44) or CD (with/without ODD, n = 48), and healthy controls (n = 86). We also related ODD, CD, and ADHD symptom counts and internalising symptomatology to all outcome measures, as well as executive functioning to emotion recognition.Results: Visual working memory and inhibitory control were impaired in the ODD and CD groups versus healthy controls. Anger, disgust, fear, happiness, and sadness recognition were impaired in the CD group; only anger recognition was impaired in the ODD group. Deficits were not explained by comorbid ADHD or internalising symptoms. Visual working memory was associated with recognition of all basic emotions.Conclusions: Our findings challenge the view that neuropsychological impairments in youth with ODD/CD are driven by comorbid ADHD and suggest possible distinct neurocognitive mechanisms in CD versus ODD.
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Affiliation(s)
- Renee Kleine Deters
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jilly Naaijen
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mireia Rosa
- Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Pascal M Aggensteiner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Melanie C Saam
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, Ulm, Germany
| | - Ulrike M E Schulze
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, Ulm, Germany.,Department of Child and Adolescent Psychiatry, Centre for Psychiatry, Calw, Germany
| | - Arjun Sethi
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michael C Craig
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ilyas Sagar-Ouriaghli
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paramala Santosh
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD), National and Specialist Child and Adolescent Mental Health Services, Maudsley Hospital, London, UK
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - María J Penzol
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Julia E Werhahn
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.,Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jeffrey Glennon
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Center, Nijmegen, The Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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17
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Jiang M, Francis SM, Tseng A, Srishyla D, DuBois M, Beard K, Conelea C, Zhao Q, Jacob S. 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; 2020:871-875. [PMID: 33018123 DOI: 10.1109/embc44109.2020.9176843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Autism Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental disorder (NDD) with a high rate of comorbidity. The implementation of eye-tracking methodologies has informed behavioral and neurophysiological patterns of visual processing across ASD and comorbid NDDs. In this study, we propose a machine learning method to predict measures of two core ASD characteristics: impaired social interactions and communication, and restricted, repetitive, and stereotyped behaviors and interests. Our method extracts behavioral features from task performance and eye-tracking data collected during a facial emotion recognition paradigm. We achieved high regression accuracy using a Random Forest regressor trained to predict scores on the SRS-2 and RBS-R assessments; this approach may serve as a classifier for ASD diagnosis.
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18
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Löytömäki J, Ohtonen P, Laakso ML, Huttunen K. The role of linguistic and cognitive factors in emotion recognition difficulties in children with ASD, ADHD or DLD. INTERNATIONAL JOURNAL OF LANGUAGE & COMMUNICATION DISORDERS 2020; 55:231-242. [PMID: 31797474 DOI: 10.1111/1460-6984.12514] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 09/12/2019] [Accepted: 10/21/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Many children with neurodevelopmental disorders such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD) or developmental language disorder (DLD) have difficulty recognizing and understanding emotions. However, the reasons for these difficulties are currently not well understood. AIMS To compare the emotion recognition skills of children with neurodevelopmental disorders as well as those children's skills with the skills of their typically developing (TD) age peers. Also, to identify the role of underlying factors in predicting emotion recognition skills. METHODS & PROCEDURES The 6-10-year-old children (n = 50) who participated in the study had either ASD, ADHD or DLD and difficulties recognizing emotions from face and/or in voice. TD age peers (n = 106) served as controls. Children's skills were tested using six forced-choice tasks with emotional nonsense words, meaningful emotional sentences, the FEFA 2 test, photographs, video clips and a task in which facial expressions and tones of voice had to be matched. Expressive vocabulary, rapid serial naming, auditory and visual working memory and Theory of Mind skills were explored as possible explanatory factors of the emotion recognition difficulties of the diagnosed children. OUTCOMES & RESULTS Children with ASD, ADHD or DLD did not significantly differ from each other in their linguistic or cognitive skills. Moreover, there were only minor differences between children with these diagnoses in recognizing facial expressions and emotional tone of voice and matching the two. The only significant difference was that children with ADHD recognized facial expressions in photographs better than children with DLD. The participants with diagnoses scored significantly lower than the controls in all but one emotion recognition tasks presented. According to the linear regression analysis, first-order Theory of Mind skills predicted the delay relative to typical development in the recognition of facial expressions in the FEFA 2 test, and expressive vocabulary and working memory skills together predicted the delay in the recognition of emotions in the matching task. CONCLUSIONS & IMPLICATIONS Children with ASD, ADHD or DLD showed very similar emotion recognition skills and were also found to be significantly delayed in their development of these skills. Some predictive factors related to linguistic and cognitive skills were found for these difficulties. Information about impaired emotion recognition and underlying linguistic and cognitive skills helps to select intervention procedures. Without this information, therapy might unnecessarily focus on only symptoms.
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Affiliation(s)
- Joanna Löytömäki
- Department of Logopedics, Abo Akademi University, Turku, Finland
- Faculty of Humanities/Research Unit of Logopedics and Child Language Research Center, University of Oulu, Oulu, Finland
| | - Pasi Ohtonen
- Division of Operative Care, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | | | - Kerttu Huttunen
- Faculty of Humanities/Research Unit of Logopedics and Child Language Research Center, University of Oulu, Oulu, Finland
- PEDEGO Research Unit, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu, Finland
- Oulu University Hospital, Department of Otorhinolaryngology, Head and Neck Surgery, Oulu, Oulu, Finland
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19
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Ioannou C, Seernani D, Stefanou ME, Riedel A, Tebartz van Elst L, Smyrnis N, Fleischhaker C, Biscaldi-Schaefer M, Boccignone G, Klein C. Comorbidity Matters: Social Visual Attention in a Comparative Study of Autism Spectrum Disorder, Attention-Deficit/Hyperactivity Disorder and Their Comorbidity. Front Psychiatry 2020; 11:545567. [PMID: 33192661 PMCID: PMC7555692 DOI: 10.3389/fpsyt.2020.545567] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 08/19/2020] [Indexed: 12/20/2022] Open
Abstract
Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) represent two common neurodevelopmental disorders with considerable co-occurrence. Their comorbidity (ASD + ADHD) has been included in the latest diagnostic guidelines (DSM-V, 2013). The present study focuses on social visual attention that i) is a main aspect of social attention reflecting social cognition and ii) its atypicalities have been suggested as a potential biomarker for ASD. Considering the possible shared background of both disorders and their comorbidity, it is important to compare such traits directly. Here, 73 children and adolescents paired for age and IQ diagnosed with ASD (N = 12), ADHD (N = 21), comorbid ASD + ADHD (N = 15), and "typically developing" (TD) controls (N = 25), were shown static real-life social scenes while their gaze movements were recorded with eye-tracking. Scenes with two levels of social complexity were presented: low complexity (one person depicted) and high (four interacting individuals). Gaze fixation variables were investigated. Fixation duration on faces was significantly reduced only in ASD + ADHD which also required longer time to fixate all faces at least once. Fixation duration on faces in ASD was reduced, compared to TD, only when looking at scenes with high versus low social complexity. ADHD individuals did not differ from TD. Concluding, the observed alterations of social visual attention support the existence of possible dysfunctional particularities differentiating ASD, ADHD, and ASD + ADHD, which can be revealed with the new method of eye-tracking technique. The objective gaze measurements provided contribute to the development of biomarkers enabling early diagnosis, amelioration of care and further interventions specified for each group.
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Affiliation(s)
- Chara Ioannou
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Divya Seernani
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Maria Elena Stefanou
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Freiburg, Freiburg, Germany.,School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom
| | - Andreas Riedel
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Ludger Tebartz van Elst
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Nikolaos Smyrnis
- Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Christian Fleischhaker
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Monica Biscaldi-Schaefer
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Freiburg, Freiburg, Germany
| | | | - Christoph Klein
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Freiburg, Freiburg, Germany.,Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece.,Department of Child and Adolescent Psychiatry, University Hospital Cologne, Cologne, Germany
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20
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Waddington F, Hartman C, de Bruijn Y, Lappenschaar M, Oerlemans A, Buitelaar J, Franke B, Rommelse N. An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder. J Neurodev Disord 2018; 10:31. [PMID: 30442088 PMCID: PMC6238263 DOI: 10.1186/s11689-018-9249-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 10/31/2018] [Indexed: 11/10/2022] Open
Abstract
Background Emotion 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. Methods Factor 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. Results A 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. Conclusions Subgroups 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. Electronic supplementary material The online version of this article (10.1186/s11689-018-9249-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Francesca Waddington
- Department of Human Genetics, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| | - Catharina Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Yvette de Bruijn
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC, Nijmegen, The Netherlands
| | - Martijn Lappenschaar
- Department of Geriatrics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Anoek Oerlemans
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC, Nijmegen, The Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Nanda Rommelse
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands. .,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC, Nijmegen, The Netherlands. .,Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands.
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