1
|
Waizbard-Bartov E, Ferrer E, Heath B, Andrews DS, Rogers S, Kerns CM, Wu Nordahl C, Solomon M, Amaral DG. Changes in the severity of autism symptom domains are related to mental health challenges during middle childhood. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:1216-1230. [PMID: 37691349 PMCID: PMC10924781 DOI: 10.1177/13623613231195108] [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] [Indexed: 09/12/2023]
Abstract
LAY ABSTRACT For many autistic children, the severity of their autism symptoms changes during middle childhood. We studied whether these changes are associated with the emergence of other mental health challenges such as anxiety and attention-deficit hyperactivity disorder. Children who had increased social-communication challenges had more anxiety and attention-deficit hyperactivity disorder symptoms and disruptive behavior problems than other children. Children who decreased their restricted and repetitive behaviors, on the contrary, had more anxiety. We discuss why these changes in autism symptoms may lead to increases in other mental health concerns.
Collapse
|
2
|
Salami S, Alhalal E. Gender differences in predictors of quality of life for parents of children with Autism Spectrum disorder in Saudi Arabia. J Pediatr Nurs 2024:S0882-5963(24)00117-9. [PMID: 38565480 DOI: 10.1016/j.pedn.2024.03.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024]
Abstract
PURPOSE Few researchers have examined gender differences in the quality of life (QoL) of parents of children with autism spectrum disorder (ASD) in diverse cultural contexts. The purpose of this study was to identify how ASD severity, affiliate stigma, perceived social support, family functioning, and coping strategies differentially predict the QoL of mothers and fathers of children with ASD in Saudi Arabia. DESIGN AND METHODS Based on a cross-sectional research design, data were gathered between April and July 2023 from a convenience sample of 376 parents (220 mothers and 156 fathers) of children with ASD in Saudi Arabia. Welch's t-test and regression were used to achieve the study purpose. RESULTS Mothers of children with ASD reported lower QoL, perceived social support, and family functioning than fathers. Mothers relied on emotion-focused coping strategies, whereas fathers used problem-focused coping strategies. Furthermore, affiliate stigma, perceived social support, and family functioning significantly predicted the QoL of mothers and fathers of children with ASD. However, the severity of ASD affected only the QoL of the mothers. Problem-focused coping significantly predicted fathers' QoL but not mothers' QoL. CONCLUSIONS The results highlight gender differences in the factors that predict the QoL of parents of children with ASD in Saudi Arabia. PRACTICE IMPLICATIONS Healthcare professionals should consider parents' gender when providing support and interventions to improve parental QoL.
Collapse
Affiliation(s)
- Salma Salami
- PhD student, Nursing College, King Saud University, (Community and Mental Health Nursing), Riyadh, Saudi Arabia.
| | - Eman Alhalal
- Associate Professor, Nursing College, King Saud University, (Community and Mental Health Nursing), Riyadh, Saudi Arabia.
| |
Collapse
|
3
|
Wachtel LE, Escher J, Halladay A, Lutz A, Satriale GM, Westover A, Lopez-Arvizu C. Profound Autism: An Imperative Diagnosis. Pediatr Clin North Am 2024; 71:301-313. [PMID: 38423722 DOI: 10.1016/j.pcl.2023.12.005] [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: 03/02/2024]
Abstract
Profound autism refers to a subset of individuals with autism spectrum disorder who have an intellectual disability with an intelligence quotient less than 50 and minimal-to-no language and require 24-hour supervision and assistance with activities of daily living. The general pediatrician will invariably work with autistic children across the spectrum and will likely encounter youth with profound autism. Awareness of profound autism as a real entity describing autistic children with concomitant intellectual disability and language impairment who require 24-hour care is the first step in developing a solid pediatric home for these youth.
Collapse
Affiliation(s)
| | - Jill Escher
- Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, USA
| | - Alycia Halladay
- Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, USA
| | - Amy Lutz
- Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, USA
| | - Gloria M Satriale
- Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, USA
| | | | | |
Collapse
|
4
|
Autism Across the Lifespan. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2024; 22:194-195. [PMID: 38680978 PMCID: PMC11046723 DOI: 10.1176/appi.focus.24022001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
|
5
|
Keates N, Martin F, Waldock KE. Autistic People's Perspectives on Functioning Labels and Associated Reasons, and Community Connectedness. J Autism Dev Disord 2024:10.1007/s10803-024-06316-3. [PMID: 38507152 DOI: 10.1007/s10803-024-06316-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2024] [Indexed: 03/22/2024]
Abstract
PURPOSE Functioning labels have been used in relation to autistic people and differentiating between support needs. The main purpose of our study was to identify perspectives regarding language about being autistic. In regard to themselves and functioning. Furthermore, we investigated the influential factor of community connectedness on use of language acceptability and functioning labels. METHODS 516 autistic respondents completed our survey. We asked about demographic characteristics, how respondents would like autistic people to be termed in the survey, and their acceptability (person with autism, Aspergers, disorder, conditions, living with autism, autistic). We also asked about respondents? Autistic Community Connectedness, acknowledging the implicit nature of language and identity (Stets & Serpe in New directions in identity theory and research, Oxford University Press, 2016). The main focus of our survey was whether or not to use functioning labels, and the supporting rationale. RESULTS Qualitative study using Merleau-Ponty's hermeneutic phenomenology as a philosophical framework. Data collection took place between 2020 and 2021 in a southern Spanish province. A total of 22 in-depth interviews were conducted using open-ended questions until data saturation was reached. RESULTS 97% of respondents stated that they find the term 'autistic' acceptable. Respondents who did see merit in using functioning labels to describe autistic people also reported not necessarily using them about themselves. Community membership was found to impact the participants' language preferences to describe the support needs of autistic people, including the use of functioning labels. CONCLUSION The proposed best option for language preferences is not to find consensus but instead, opt for the optimal choice that people find the least offensive or disagreeable. This means using identity-first language and not using functioning labels.
Collapse
Affiliation(s)
- Nathan Keates
- University of Sunderland in London, 197 Marsh Wall, Docklands, London, E14 9SG, UK.
| | - Farradeh Martin
- School of History, University of Kent, Canterbury, Kent, CT2 7NZ, UK
| | | |
Collapse
|
6
|
Zhan L, Gao Y, Huang L, Zhang H, Huang G, Wang Y, Sun J, Xie Z, Li M, Jia X, Cheng L, Yu Y. Brain functional connectivity alterations of Wernicke's area in individuals with autism spectrum conditions in multi-frequency bands: A mega-analysis. Heliyon 2024; 10:e26198. [PMID: 38404781 PMCID: PMC10884452 DOI: 10.1016/j.heliyon.2024.e26198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
Characterized by severe deficits in communication, most individuals with autism spectrum conditions (ASC) experience significant language dysfunctions, thereby impacting their overall quality of life. Wernicke's area, a classical and traditional brain region associated with language processing, plays a substantial role in the manifestation of language impairments. The current study carried out a mega-analysis to attain a comprehensive understanding of the neural mechanisms underpinning ASC, particularly in the context of language processing. The study employed the Autism Brain Image Data Exchange (ABIDE) dataset, which encompasses data from 443 typically developing (TD) individuals and 362 individuals with ASC. The objective was to detect abnormal functional connectivity (FC) between Wernicke's area and other language-related functional regions, and identify frequency-specific altered FC using Wernicke's area as the seed region in ASC. The findings revealed that increased FC in individuals with ASC has frequency-specific characteristics. Further, in the conventional frequency band (0.01-0.08 Hz), individuals with ASC exhibited increased FC between Wernicke's area and the right thalamus compared with TD individuals. In the slow-5 frequency band (0.01-0.027 Hz), increased FC values were observed in the left cerebellum Crus II and the right lenticular nucleus, pallidum. These results provide novel insights into the potential neural mechanisms underlying communication deficits in ASC from the perspective of language impairments.
Collapse
Affiliation(s)
- Linlin Zhan
- School of Western Studies, Heilongjiang University, Harbin, China
| | - Yanyan Gao
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Lina Huang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Hongqiang Zhang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Guofeng Huang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Yadan Wang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Jiawei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Zhou Xie
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Mengting Li
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Lulu Cheng
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, China
- Shanghai Center for Research in English Language Education, Shanghai International Studies University, Shanghai, China
| | - Yang Yu
- Psychiatry Department, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
| |
Collapse
|
7
|
Xu K, Sun Z, Qiao Z, Chen A. Diagnosing autism severity associated with physical fitness and gray matter volume in children with autism spectrum disorder: Explainable machine learning method. Complement Ther Clin Pract 2024; 54:101825. [PMID: 38169278 DOI: 10.1016/j.ctcp.2023.101825] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/18/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE This study aimed to investigate the relationship between physical fitness, gray matter volume (GMV), and autism severity in children with autism spectrum disorder (ASD). Besides, we sought to diagnose autism severity associated with physical fitness and GMV using machine learning methods. METHODS Ninety children diagnosed with ASD underwent physical fitness tests, magnetic resonance imaging scans, and autism severity assessments. Diagnosis models were established using extreme gradient boosting (XGB), random forest (RF), support vector machine (SVM), and decision tree (DT) algorithms. Hyperparameters were optimized through the grid search cross-validation method. The shapley additive explanation (SHAP) method was employed to explain the diagnosis results. RESULTS Our study revealed associations between muscular strength in physical fitness and GMV in specific brain regions (left paracentral lobule, bilateral thalamus, left inferior temporal gyrus, and cerebellar vermis I-II) with autism severity in children with ASD. The accuracy (95 % confidence interval) of the XGB, RF, SVM, and DT models were 77.9 % (77.3, 78.6 %), 72.4 % (71.7, 73.2 %), 71.9 % (71.1, 72.6 %), and 66.9 % (66.2, 67.7 %), respectively. SHAP analysis revealed that muscular strength and thalamic GMV significantly influenced the decision-making process of the XGB model. CONCLUSION Machine learning methods can effectively diagnose autism severity associated with physical fitness and GMV in children with ASD. In this respect, the XGB model demonstrated excellent performance across various indicators, suggesting its potential for diagnosing autism severity.
Collapse
Affiliation(s)
- Keyun Xu
- College of Physical Education, Yangzhou University, Yangzhou, 225127, China
| | - Zhiyuan Sun
- College of Physical Education, Yangzhou University, Yangzhou, 225127, China
| | - Zhiyuan Qiao
- College of Physical Education, Yangzhou University, Yangzhou, 225127, China
| | - Aiguo Chen
- Nanjing Sport Institute, Nanjing, 210014, China.
| |
Collapse
|
8
|
Jimenez-Gomez A, Nguyen MX, Gill JS. Understanding the role of AMPA receptors in autism: insights from circuit and synapse dysfunction. Front Psychiatry 2024; 15:1304300. [PMID: 38352654 PMCID: PMC10861716 DOI: 10.3389/fpsyt.2024.1304300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024] Open
Abstract
Autism spectrum disorders represent a diverse etiological spectrum that converge on a syndrome characterized by discrepant deficits in developmental domains often highlighted by concerns in socialization, sensory integration, and autonomic functioning. Importantly, the incidence and prevalence of autism spectrum disorders have seen sharp increases since the syndrome was first described in the 1940s. The wide etiological spectrum and rising number of individuals being diagnosed with the condition lend urgency to capturing a more nuanced understanding of the pathogenic mechanisms underlying the autism spectrum disorders. The current review seeks to understand how the disruption of AMPA receptor (AMPAr)-mediated neurotransmission in the cerebro-cerebellar circuit, particularly in genetic autism related to SHANK3 or SYNGAP1 protein dysfunction function and autism associated with in utero exposure to the anti-seizure medications valproic acid and topiramate, may contribute to the disease presentation. Initially, a discussion contextualizing AMPAr signaling in the cerebro-cerebellar circuitry and microstructural circuit considerations is offered. Subsequently, a detailed review of the literature implicating mutations or deletions of SHANK3 and SYNGAP1 in disrupted AMPAr signaling reveals how bidirectional pathogenic modulation of this key circuit may contribute to autism. Finally, how pharmacological exposure may interact with this pathway, via increased risk of autism diagnosis with valproic acid and topiramate exposure and potential treatment of autism using AMPAr modulator perampanel, is discussed. Through the lens of the review, we will offer speculation on how neuromodulation may be used as a rational adjunct to therapy. Together, the present review seeks to synthesize the disparate considerations of circuit understanding, genetic etiology, and pharmacological modulation to understand the mechanistic interaction of this important and complex disorder.
Collapse
Affiliation(s)
- Andres Jimenez-Gomez
- Neurodevelopmental Disabilities Program, Department of Neurology, Joe DiMaggio Children’s Hospital, Hollywood, FL, United States
| | - Megan X. Nguyen
- Department of Pediatrics, Division of Neurology & Developmental Neurosciences, Baylor College of Medicine, Houston, TX, United States
- Jan & Dan Duncan Neurologic Research Institute, Texas Children’s Hospital, Houston, TX, United States
| | - Jason S. Gill
- Department of Pediatrics, Division of Neurology & Developmental Neurosciences, Baylor College of Medicine, Houston, TX, United States
- Jan & Dan Duncan Neurologic Research Institute, Texas Children’s Hospital, Houston, TX, United States
| |
Collapse
|
9
|
Clarke EB, McCauley JB, Lutz A, Gotelli M, Sheinkopf SJ, Lord C. Understanding profound autism: implications for stigma and supports. Front Psychiatry 2024; 15:1287096. [PMID: 38317766 PMCID: PMC10839016 DOI: 10.3389/fpsyt.2024.1287096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024] Open
Abstract
Introduction Societal perceptions and lack of understanding of autism spectrum disorder can be stigmatizing for autistic individuals and their families. This may be particularly the case for individuals who meet criteria for profound autism. Despite the considerable service needs of this marginalized group, there is little data on the prevalence of profound autism, nor on the experiences of those with profound autism and their families. Methods The current study leveraged a mixed-methods approach to address these gaps. First, the prevalence of profound autism was examined in six samples-three from the United States and three from Western Europe. Second, inductive thematic analysis was used to code interviews from 20 caregivers of profoundly autistic adults. Results The prevalence of profound autism varied widely across the six samples-from 11% to 48%. There were also notable differences between samples in prevalence by gender, race, and ethnicity. Two overarching themes were identified via inductive thematic analysis: Community Perceptions of Autism and Family Support Needs and Advocacy Challenges. Though caregivers were not directly asked about stigmatization during interviews, 85% of caregivers reported at least one instance of perceived stigma. Discussion Future research should continue to examine the unique needs and stigmatization experiences of profoundly autistic individuals and their families across the life course.
Collapse
Affiliation(s)
- Elaine B. Clarke
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - James B. McCauley
- Department of Psychology, St. Mary’s College of California, Moraga, CA, United States
| | - Amy Lutz
- Department of History and Sociology of Science, University of Pennsylvania, Philadelphia, PA, United States
| | - Marina Gotelli
- Fundación Brincar por un Autismo Feliz, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas Y Técnicas, Buenos Aires, Argentina
| | - Stephen J. Sheinkopf
- Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia, MO, United States
| | - Catherine Lord
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| |
Collapse
|
10
|
Ben Natan M, Igbarin H, Watted A. Mothers' satisfaction with emergency care when their child has an autism spectrum disorder. J Pediatr Nurs 2024; 74:35-40. [PMID: 37992479 DOI: 10.1016/j.pedn.2023.11.006] [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: 07/25/2023] [Revised: 11/05/2023] [Accepted: 11/05/2023] [Indexed: 11/24/2023]
Abstract
PURPOSE This study aimed to examine factors identified by mothers as affecting their satisfaction with the care provided to their children in the Emergency Department (ED), among mothers of children with autistic spectrum disorder (ASD) in comparison to mothers of children without ASD. DESIGN AND METHODS In this correlational quantitative study, 128 Israeli mothers - 59 (46%) mothers of children with ASD and 69 (54%) of children without ASD - completed an online survey based on a Ministry of Health national survey of patient experience. RESULTS Mothers of children with ASD expressed lower satisfaction with the care provided. The difference was particularly evident concerning waiting times for examination of the child by nurses and physicians in the ED, whether the nurses were attentive and responsive to the mother's questions and concerns, whether the ED staff demonstrated coordination and cooperation with regard to medical care of the child, and whether work in the ED was conducted in an orderly and organized manner. The presence of communication difficulties in children predicted mothers' satisfaction with care. CONCLUSIONS These findings suggest that certain needs of mothers and/or their children with ASD do not receive an appropriate response in the ED. PRACTICE IMPLICATIONS It is important to raise the awareness of healthcare providers in EDs regarding the needs of children with ASD and their parents, especially children with communication difficulties. Strategies should be implemented to improve the experience of children with ASD and their parents in the ED.
Collapse
Affiliation(s)
- Merav Ben Natan
- Pat Matthews Academic School of Nursing, Hillel Yaffe Medical Center, Hadera, Israel.
| | - Heba Igbarin
- Pat Matthews Academic School of Nursing, Hillel Yaffe Medical Center, Hadera, Israel
| | - Arwa Watted
- Pat Matthews Academic School of Nursing, Hillel Yaffe Medical Center, Hadera, Israel
| |
Collapse
|
11
|
Sha M, Alqahtani A, Alsubai S, Dutta AK. Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder. Biomolecules 2023; 14:48. [PMID: 38254648 PMCID: PMC10813510 DOI: 10.3390/biom14010048] [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: 11/20/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
ASD (autism spectrum disorder) is a complex developmental and neurological disorder that impacts the social life of the affected person by disturbing their capability for interaction and communication. As it is a behavioural disorder, early treatment will improve the quality of life of ASD patients. Traditional screening is carried out with behavioural assessment through trained physicians, which is expensive and time-consuming. To resolve the issue, several conventional methods strive to achieve an effective ASD identification system, but are limited by handling large data sets, accuracy, and speed. Therefore, the proposed identification system employed the MBA (modified bat) algorithm based on ANN (artificial neural networks), modified ANN (modified artificial neural networks), DT (decision tree), and KNN (k-nearest neighbours) for the classification of ASD in children and adolescents. A BA (bat algorithm) is utilised for the automatic zooming capability, which improves the system's efficacy by excellently finding the solutions in the identification system. Conversely, BA is effective in the identification, it still has certain drawbacks like speed, accuracy, and falls into local extremum. Therefore, the proposed identification system modifies the BA optimisation with random perturbation of trends and optimal orientation. The dataset utilised in the respective model is the Q-chat-10 dataset. This dataset contains data of four stages of age groups such as toddlers, children, adolescents, and adults. To analyse the quality of the dataset, dataset evaluation mechanism, such as the Chi-Squared Statistic and p-value, are used in the respective research. The evaluation signifies the relation of the dataset with respect to the proposed model. Further, the performance of the proposed detection system is examined with certain performance metrics to calculate its efficiency. The outcome revealed that the modified ANN classifier model attained an accuracy of 1.00, ensuring improved performance when compared with other state-of-the-art methods. Thus, the proposed model was intended to assist physicians and researchers in enhancing the diagnosis of ASD to improve the standard of life of ASD patients.
Collapse
Affiliation(s)
- Mohemmed Sha
- Department of Software Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia;
| | - Abdullah Alqahtani
- Department of Software Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia;
| | - Shtwai Alsubai
- Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia;
| | - Ashit Kumar Dutta
- Department of Computer Science and Information Systems, College of Applied Sciences, Almaarefa University, Riyadh 11597, Saudi Arabia;
| |
Collapse
|
12
|
Girolamo T, Shen L, Monroe Gulick A, Rice ML, Eigsti IM. Studies assessing domains pertaining to structural language in autism vary in reporting practices and approaches to assessment: A systematic review. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023:13623613231216155. [PMID: 38145307 DOI: 10.1177/13623613231216155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
LAY ABSTRACT Under the Diagnostic and Statistical Manual of Mental Disorders (5th ed.), language impairment can co-occur with autism. It is not yet clear how research defines, reports, and characterizes structural language abilities of autistic individuals eligible for school-based special education services (aged 3-21 years) in the United States. In the United States, students typically must be formally diagnosed to be eligible for services and supports. However, the quality of diagnosis is only as good as the research evidence on which diagnosis depends. To evaluate evidence quality, we examined how studies of school-aged autistic individuals report assessments of language ability. This systematic review included 57 studies using English language age-referenced assessments used to measure structural language. Findings showed many differences across studies in how language abilities were measured and reported. Also, none of the studies fully reported the variables relevant to characterizing language impairment. Outcomes were similar across versions of the Diagnostic and Statistical Manual of Mental Disorders. Findings indicate that researchers and clinicians should pay attention to reporting diagnostic and grouping criteria. Carefully interpreting research evidence is critical for ensuring that diagnostic criteria and supports are representative of and accessible to autistic individuals and relevant parties.
Collapse
Affiliation(s)
- Teresa Girolamo
- San Diego State University, USA
- University of Connecticut, USA
| | | | | | | | | |
Collapse
|
13
|
Woods R, Williams K, Watts C. "Profound autism": The dire consequences of diagnostic overshadowing. Autism Res 2023; 16:1656-1657. [PMID: 37583296 DOI: 10.1002/aur.2985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 06/28/2023] [Indexed: 08/17/2023]
Affiliation(s)
- Richard Woods
- School of Law and Social Sciences, London South Bank University, London, UK
| | - Kathryn Williams
- School of Social Sciences, Cardiff University, Cardiff, UK
- Autistic UK CIC, Llandudno, UK
| | - Courtney Watts
- College of Human & Social Futures, The University of Newcastle, Newcastle, New South Wales, Australia
| |
Collapse
|
14
|
Waizbard-Bartov E, Fein D, Lord C, Amaral DG. Response to Mottron et al. (2023) and Woods et al. (2023). Autism Res 2023; 16:1660-1661. [PMID: 37584067 DOI: 10.1002/aur.2982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 08/17/2023]
Affiliation(s)
- Einat Waizbard-Bartov
- Department of Psychology, University of California Davis, Davis, California, USA
- The MIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California, USA
| | - Deborah Fein
- Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA
- Department of Pediatrics, University of Connecticut, Farmington, Connecticut, USA
| | - Catherine Lord
- Departments of Psychiatry and Human Development and Psychology, University of California, Los Angeles, California, USA
| | - David G Amaral
- The MIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California, USA
| |
Collapse
|
15
|
Mottron L, Gagnon D, Courchesne V. Severity should be distinguished from prototypicality. Autism Res 2023; 16:1658-1659. [PMID: 37583271 DOI: 10.1002/aur.2986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/28/2023] [Indexed: 08/17/2023]
Affiliation(s)
- Laurent Mottron
- Centre de recherche du CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, Quebec, Canada
- Département de Psychiatrie et d'addictologie, Université de Montréal, Montreal, Quebec, Canada
| | - David Gagnon
- Centre de recherche du CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, Quebec, Canada
- Département de Psychiatrie et d'addictologie, Université de Montréal, Montreal, Quebec, Canada
| | - Valérie Courchesne
- Centre de recherche du CIUSSS du Nord-de-l'Île-de-Montréal, Montreal, Quebec, Canada
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| |
Collapse
|
16
|
Mottron L, Gagnon D. Prototypical autism: New diagnostic criteria and asymmetrical bifurcation model. Acta Psychol (Amst) 2023; 237:103938. [PMID: 37187094 DOI: 10.1016/j.actpsy.2023.103938] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 05/17/2023] Open
Abstract
The current "autism spectrum" DSM 5 diagnostic criteria and autism standardized diagnostic instruments promote considerable heterogeneity or clinical indecision and may be detrimental to the advancement of fundamental research on autism mechanisms. To increase clinical specificity and reorient research towards core autistic presentations, we propose new diagnostic criteria for prototypical autism during the age of 2- to 5-years. We include autism within other non-dominant, familiarly aggregated phenomena sharing asymmetrical developmental bifurcations, such as twin pregnancy, left handedness, and breech presentation/delivery. Following this model, nature, trajectory, and positive/negative signs structure of autism would result from the polarized problem of whether or not language and information is processed in a socially biased manner. Prototypical autism would follow a canonical developmental trajectory by which a gradual decline in social bias in the processing of incoming information, overtly beginning at the end of the first year, bifurcates into a prototypical autistic presentation in the second half of the second year of life. This bifurcation event is followed by a plateau, in which these atypicalities show maximal stringency and distinctiveness, and then ultimately, in most cases, by partial normalization. During the plateau period, the orientation towards, and processing of, information is considerably modified, with an absence of bias for social information, contrasting with a high level of interest in complex, unbiased information, independently of its social or non-social nature. Integrating autism into asymmetrical developmental bifurcations would explain the absence of deleterious neurological and genetic markers and the presence of familial transmission in canonical autistic presentations.
Collapse
Affiliation(s)
- Laurent Mottron
- Department of Psychiatry and Addictology, University of Montreal, 2900 blvd Edouard-Montpetit, Montreal, Qc H3T 1J4, Canada; CIUSSS-NIM Research Center, Riviere-des-Prairies Hospital, 7070, blvd Perras, Montreal, QC H1E 1A4, Canada.
| | - David Gagnon
- Department of Psychiatry and Addictology, University of Montreal, 2900 blvd Edouard-Montpetit, Montreal, Qc H3T 1J4, Canada; CIUSSS-NIM Research Center, Riviere-des-Prairies Hospital, 7070, blvd Perras, Montreal, QC H1E 1A4, Canada
| |
Collapse
|