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  1. Article ; Online: Editorial: Is autism overdiagnosed?

    Fombonne, Eric

    Journal of child psychology and psychiatry, and allied disciplines

    2023  Volume 64, Issue 5, Page(s) 711–714

    Abstract: After attention was drawn in the late 1960s to the poor reproducibility of psychiatric diagnosis between clinicians, methods and procedures used to diagnose psychiatric disorders were greatly improved. Sources of variance contributing to the poor ... ...

    Abstract After attention was drawn in the late 1960s to the poor reproducibility of psychiatric diagnosis between clinicians, methods and procedures used to diagnose psychiatric disorders were greatly improved. Sources of variance contributing to the poor reliability of psychiatric diagnosis were identified that included: information variance (how clinicians go about enquiring about symptoms), interpretation variance (how clinicians weigh the observed symptomatology towards diagnostic formulations), and criterion variance (how clinicians arrange symptom constellations to generate specific diagnoses). To improve the reliability of diagnosis, progresses were made in two major directions. First, diagnostic instruments were developed to standardize the way symptoms are elicited, evaluated, and scored. These diagnostic interviews were either highly structured for use in large-scale studies (e.g. the DIS), by lay interviewers without a clinical background, and with a style of questioning that emphasized adherence to the exact wording of probes, reliance on closed questions with simple response formats (Yes/No) and recording respondents' answers without interviewer's judgment contribution. By contrast, semi-structured interviews (e.g. the SADS) were designed to be used by clinically trained interviewers and adopted a more flexible, conversational style, using open-ended questions, utilizing all behavioral descriptions generated in the interview, and developing scoring conventions that called upon the clinical judgment of the interviewer. Second, diagnostic criteria and algorithms were introduced in nosographies in 1980 for the DSM and soon after in ICD. Algorithm-derived diagnoses could subsequently be tested for their validity using follow-up, family history, treatment response studies, or other external criteria.
    MeSH term(s) Humans ; Autistic Disorder ; Reproducibility of Results ; Communication ; Medical History Taking
    Language English
    Publishing date 2023-04-04
    Publishing country England
    Document type Editorial
    ZDB-ID 218136-8
    ISSN 1469-7610 ; 0021-9630 ; 0373-8086
    ISSN (online) 1469-7610
    ISSN 0021-9630 ; 0373-8086
    DOI 10.1111/jcpp.13806
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Camouflage and autism.

    Fombonne, Eric

    Journal of child psychology and psychiatry, and allied disciplines

    2020  Volume 61, Issue 7, Page(s) 735–738

    Abstract: The theme of camouflage recently gained unexpected momentum in autism research. Symposia and panel discussions are devoted to ' camouflage' in autism conferences. Because of its association with intended deception, the term camouflage has poor fit with ... ...

    Abstract The theme of camouflage recently gained unexpected momentum in autism research. Symposia and panel discussions are devoted to ' camouflage' in autism conferences. Because of its association with intended deception, the term camouflage has poor fit with the autism world. However, psychopathologists have a long tradition of resorting to camouflage-like terminology, from Freud's reaction formation, to pseudoschizophrenia, to Winnicott's false self, to masked depression, and even to the recent quasi-autism, artfully telling us that what we see is actually not what we see but rather what we cannot see. Is 'Camouflaged Autism' the next in line nosographical pearl?
    MeSH term(s) Autistic Disorder/psychology ; Biological Mimicry ; Child ; Deception ; Female ; Humans ; Male ; Models, Psychological
    Language English
    Publishing date 2020-07-25
    Publishing country England
    Document type Editorial
    ZDB-ID 218136-8
    ISSN 1469-7610 ; 0021-9630 ; 0373-8086
    ISSN (online) 1469-7610
    ISSN 0021-9630 ; 0373-8086
    DOI 10.1111/jcpp.13296
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Editorial: The passage of time.

    Fombonne, Eric

    Journal of child psychology and psychiatry, and allied disciplines

    2019  Volume 60, Issue 7, Page(s) 713–715

    Abstract: In this editorial, the author reflects on changes that occurred in the quality of research on developmental psychopathology over the last 35 years. This is illustrated in the increased quality of nine longitudinal studies that are included in the current ...

    Abstract In this editorial, the author reflects on changes that occurred in the quality of research on developmental psychopathology over the last 35 years. This is illustrated in the increased quality of nine longitudinal studies that are included in the current issue of JCPP. Using approaches that capitalize on the passage of time, ranging from 28 days to 40 years across investigations, these studies employed multiple levels of analysis, used sophisticated statistical methods to control for confounding factors, included measurement at both the biological, cognitive, and behavioral levels, and collectively provided results that allow improved assessment of causality.
    MeSH term(s) Adolescent ; Child ; Child Psychiatry ; History, 20th Century ; History, 21st Century ; Humans ; Mental Disorders ; Psychopathology/history
    Language English
    Publishing date 2019-06-22
    Publishing country England
    Document type Editorial ; Historical Article ; Introductory Journal Article ; Personal Narrative
    ZDB-ID 218136-8
    ISSN 1469-7610 ; 0021-9630 ; 0373-8086
    ISSN (online) 1469-7610
    ISSN 0021-9630 ; 0373-8086
    DOI 10.1111/jcpp.13090
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: The Applied Behavior Analysis imperative in the management of autism. A set of procedures rooted in validated experimental and learning theories

    Fombonne, Eric

    Swiss archives of neurology, psychiatry and psychotherapy

    2020  Volume 171, Issue 4, Page(s) 107

    Language German ; English ; French
    Document type Article
    ZDB-ID 2862940-1
    ISSN 2297-6981
    Database Current Contents Medicine

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  5. Article ; Online: Editorial: The rising prevalence of autism.

    Fombonne, Eric

    Journal of child psychology and psychiatry, and allied disciplines

    2018  Volume 59, Issue 7, Page(s) 717–720

    Abstract: The first autism surveys were simple head counts of children already diagnosed with a severe autism phenotype and residing in small, circumscribed geographical areas. Prevalence was low, ranging from 0.4 to 2/1,000 in the 1960's and 1970's. Today, the ... ...

    Abstract The first autism surveys were simple head counts of children already diagnosed with a severe autism phenotype and residing in small, circumscribed geographical areas. Prevalence was low, ranging from 0.4 to 2/1,000 in the 1960's and 1970's. Today, the methodology of surveys has become more complex; studies include large populations, multiple sites, stratified samples and rely on intricate sets of screening activities followed by some form of diagnostic confirmation procedures. Yet, and as surprising as it may be, there is no standardization of autism survey methodology. Each survey has unique design features that reflect the local educational and health services infrastructure and current social policies for children with disabilities, they include or not parents, teachers and subjects with Autism Spectrum Disorder (ASD), and rely on variable screening and diagnostic instruments and methods. As such, prevalence differences between studies are hazardous to evaluate and whether observed discrepancies are due to method factors or true differences in population parameters, cannot be determined.
    MeSH term(s) Autism Spectrum Disorder/epidemiology ; Health Surveys/standards ; Humans ; Prevalence
    Language English
    Publishing date 2018-06-19
    Publishing country England
    Document type Editorial
    ZDB-ID 218136-8
    ISSN 1469-7610 ; 0021-9630 ; 0373-8086
    ISSN (online) 1469-7610
    ISSN 0021-9630 ; 0373-8086
    DOI 10.1111/jcpp.12941
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Clinical Profiles of Black and White Children Referred for Autism Diagnosis.

    Fombonne, Eric / Zuckerman, Katharine E

    Journal of autism and developmental disorders

    2021  Volume 52, Issue 3, Page(s) 1120–1130

    Abstract: Black children with autism are diagnosed at an older age. Whether or not late detection is paralleled by differing clinical presentation is not known. We evaluated symptom profiles of 245 Black and 488 sex- and age-matched White non-Hispanic participants ...

    Abstract Black children with autism are diagnosed at an older age. Whether or not late detection is paralleled by differing clinical presentation is not known. We evaluated symptom profiles of 245 Black and 488 sex- and age-matched White non-Hispanic participants (82.8% male; mean age: 4.2 years) referred for ASD diagnosis. Both groups showed similar overall levels of autistic symptoms. Black children had significantly but slightly lower scores on cognitive tests and on the Vineland communication domain than White children. Groups were comparable on internalizing and externalizing co-occurring problems. Given the largely similar clinical profiles, clinical differences in initial presentation may not be a primary reason for Black/White disparities in diagnostic and services use. Limitations of a cross-sectional referred sample are acknowledged.
    MeSH term(s) Autism Spectrum Disorder/psychology ; Autistic Disorder/diagnosis ; Blacks ; Child ; Child, Preschool ; Cross-Sectional Studies ; Female ; Humans ; Male ; Prevalence
    Language English
    Publishing date 2021-04-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 391999-7
    ISSN 1573-3432 ; 0162-3257
    ISSN (online) 1573-3432
    ISSN 0162-3257
    DOI 10.1007/s10803-021-05019-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Prenatal Antidepressant Use and Risk of Autism Spectrum Disorders in the Children.

    Fombonne, Eric

    JAMA pediatrics

    2016  Volume 170, Issue 7, Page(s) 711–712

    MeSH term(s) Antidepressive Agents ; Autism Spectrum Disorder ; Child ; Humans ; Prenatal Exposure Delayed Effects ; Risk
    Chemical Substances Antidepressive Agents
    Language English
    Publishing date 2016-05-11
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2701223-2
    ISSN 2168-6211 ; 2168-6203
    ISSN (online) 2168-6211
    ISSN 2168-6203
    DOI 10.1001/jamapediatrics.2016.0745
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Editorial: Isolating the essential difference - The importance of choosing the right type and sufficient numbers of controls in research on neurodevelopmental disorders and mental health conditions.

    Fombonne, Eric

    Journal of child psychology and psychiatry, and allied disciplines

    2016  Volume 57, Issue 11, Page(s) 1203–1204

    Abstract: The question of what constitutes the most appropriate control group in child psychopathology research remains a vexed question as well as one of the most common issues raised in the referees' reports I read as an editor of JCPP. Yet its importance is ... ...

    Abstract The question of what constitutes the most appropriate control group in child psychopathology research remains a vexed question as well as one of the most common issues raised in the referees' reports I read as an editor of JCPP. Yet its importance is often overlooked by authors as they reflect on potential sources of bias in their studies. There is an abundant literature on this question (Rothman, Greenland, & Lash, 2008) that highlights the key issues and pitfalls for research in our field.
    MeSH term(s) Biomedical Research/standards ; Child ; Humans ; Mental Disorders ; Neurodevelopmental Disorders ; Research Design/standards
    Language English
    Publishing date 2016
    Publishing country England
    Document type Editorial
    ZDB-ID 218136-8
    ISSN 1469-7610 ; 0021-9630 ; 0373-8086
    ISSN (online) 1469-7610
    ISSN 0021-9630 ; 0373-8086
    DOI 10.1111/jcpp.12660
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Editorial: The new genetics of autism.

    Franke, Barbara / Fombonne, Eric / Ronald, Angelica

    Journal of child psychology and psychiatry, and allied disciplines

    2021  Volume 62, Issue 11, Page(s) 1271–1273

    Language English
    Publishing date 2021-10-27
    Publishing country England
    Document type Editorial
    ZDB-ID 218136-8
    ISSN 1469-7610 ; 0021-9630 ; 0373-8086
    ISSN (online) 1469-7610
    ISSN 0021-9630 ; 0373-8086
    DOI 10.1111/jcpp.13527
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Quantifying Voice Characteristics for Detecting Autism.

    Asgari, Meysam / Chen, Liu / Fombonne, Eric

    Frontiers in psychology

    2021  Volume 12, Page(s) 665096

    Abstract: The presence of prosodic anomalies in autistic is recognized by experienced clinicians but their quantitative analysis is a cumbersome task beyond the scope of typical pen and pencil assessment. This paper proposes an automatic approach allowing to tease ...

    Abstract The presence of prosodic anomalies in autistic is recognized by experienced clinicians but their quantitative analysis is a cumbersome task beyond the scope of typical pen and pencil assessment. This paper proposes an automatic approach allowing to tease apart various aspects of prosodic abnormalities and to translate them into fine-grained, automated, and quantifiable measurements. Using a harmonic model (HM) of voiced signal, we isolated the harmonic content of speech and computed a set of quantities related to harmonic content. Employing these measures, along with standard speech measures such as loudness, we successfully trained machine learning models for distinguishing individuals with autism from those with typical development (TD). We evaluated our models empirically on a task of detecting autism on a sample of 118 youth (90 diagnosed with autism and 28 controls; mean age: 10.9 years) and demonstrated that these models perform significantly better than a chance model. Voice and speech analyses could be incorporated as novel outcome measures for treatment research and used for early detection of autism in preverbal infants or toddlers at risk of autism.
    Language English
    Publishing date 2021-09-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2021.665096
    Database MEDical Literature Analysis and Retrieval System OnLINE

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