1
|
Havdahl A, Farmer C, Surén P, Øyen AS, Magnus P, Susser E, Lipkin WI, Reichborn-Kjennerud T, Stoltenberg C, Bishop S, Thurm A. Attainment and loss of early social-communication skills across neurodevelopmental conditions in the Norwegian Mother, Father and Child Cohort Study. J Child Psychol Psychiatry 2024; 65:610-619. [PMID: 36973172 PMCID: PMC10522798 DOI: 10.1111/jcpp.13792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Delays and loss of early-emerging social-communication skills are often discussed as unique to autism. However, most studies of regression have relied on retrospective recall and clinical samples. Here, we examine attainment and loss of social-communication skills in the population-based Norwegian Mother, Father and Child Cohort Study (MoBa). METHODS Mothers rated their child's attainment of 10 early-emerging social-communication skills at ages 18 and 36 months (N = 40,613, 50.9% male). Prospectively reported loss was defined as skill presence at 18 months but absence at 36 months. At 36 months, mothers also recalled whether the child had lost social-communication skills. The Norwegian Patient Registry was used to capture diagnoses of Autism Spectrum Disorder (autism) and other neurodevelopmental disabilities (NDDs). RESULTS Delay in at least one skill was observed in 14% of the sample and loss in 5.4%. Recalled loss of social-communication skills was rare (0.86%) and showed low convergence with prospectively reported loss. Delay and especially loss were associated with elevated odds of an autism diagnosis (n = 383) versus no autism diagnosis (n = 40,230; ≥3 skills delayed: OR = 7.09[4.15,12.11]; ≥3 skills lost: OR = 30.66[17.30,54.33]). They were also associated with an increased likelihood of autism compared to some other NDDs. Delay (relative risk [RR] = 4.16[2.08, 8.33]) and loss (RR = 10.00[3.70, 25.00]) associated with increased likelihood of autism versus ADHD, and loss (RR = 4.35[1.28,14.29]), but not delay (RR = 2.00[0.78,5.26]), associated with increased likelihood of autism compared to language disability. Conversely, delay conferred decreased likelihood of autism versus intellectual disability (RR = 0.11[0.06,0.21]), and loss was not reliably associated with likelihood of autism versus intellectual disability (RR = 1.89[0.44,8.33]). CONCLUSIONS This population-based study suggests that loss of early social communication skills is more common than studies using retrospective reports have indicated and is observed across several NDD diagnoses (not just autism). Nevertheless, most children with NDD diagnoses showed no reported delay or loss in these prospectively measured skills.
Collapse
Affiliation(s)
- Alexandra Havdahl
- Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- PROMENTA Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Cristan Farmer
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD
| | - Pål Surén
- Norwegian Institute of Public Health, Oslo, Norway
| | - Anne-Siri Øyen
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Per Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - Ezra Susser
- New York State Psychiatric Institute, Columbia University Medical Center, New York, NY
- Department of Epidemiology, Mailman School of Public Health, New York, NY
| | - W. Ian Lipkin
- Center for Infection and Immunity, Mailman School of Public Health and Departments of Neurology and Pathology, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY
| | | | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Somer Bishop
- UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA
| | - Audrey Thurm
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD
| |
Collapse
|
2
|
Iacomino M, Houerbi N, Fortuna S, Howe J, Li S, Scorrano G, Riva A, Cheng KW, Steiman M, Peltekova I, Yusuf A, Baldassari S, Tamburro S, Scudieri P, Musante I, Di Ludovico A, Guerrisi S, Balagura G, Corsello A, Efthymiou S, Murphy D, Uva P, Verrotti A, Fiorillo C, Delvecchio M, Accogli A, Elsabbagh M, Houlden H, Scherer SW, Striano P, Zara F, Chou TF, Salpietro V. Allelic heterogeneity and abnormal vesicle recycling in PLAA-related neurodevelopmental disorders. Front Mol Neurosci 2024; 17:1268013. [PMID: 38650658 PMCID: PMC11033462 DOI: 10.3389/fnmol.2024.1268013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 02/16/2024] [Indexed: 04/25/2024] Open
Abstract
The human PLAA gene encodes Phospholipase-A2-Activating-Protein (PLAA) involved in trafficking of membrane proteins. Through its PUL domain (PLAP, Ufd3p, and Lub1p), PLAA interacts with p97/VCP modulating synaptic vesicles recycling. Although few families carrying biallelic PLAA variants were reported with progressive neurodegeneration, consequences of monoallelic PLAA variants have not been elucidated. Using exome or genome sequencing we identified PLAA de-novo missense variants, affecting conserved residues within the PUL domain, in children affected with neurodevelopmental disorders (NDDs), including psychomotor regression, intellectual disability (ID) and autism spectrum disorders (ASDs). Computational and in-vitro studies of the identified variants revealed abnormal chain arrangements at C-terminal and reduced PLAA-p97/VCP interaction, respectively. These findings expand both allelic and phenotypic heterogeneity associated to PLAA-related neurological disorders, highlighting perturbed vesicle recycling as a potential disease mechanism in NDDs due to genetic defects of PLAA.
Collapse
Affiliation(s)
- Michele Iacomino
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Nadia Houerbi
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Sara Fortuna
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, Trieste, Italy
| | - Jennifer Howe
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Shan Li
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Giovanna Scorrano
- Department of Pediatrics, Sant'Annunziata Hospital, University "G. D'Annunzio", Chieti, Italy
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonella Riva
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| | - Kai-Wen Cheng
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Mandy Steiman
- Montreal Neurological Institute-Hospital, Azrieli Centre for Autism Research, McGill University, Montreal, QC, Canada
| | - Iskra Peltekova
- McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Afiqah Yusuf
- Montreal Neurological Institute-Hospital, Azrieli Centre for Autism Research, McGill University, Montreal, QC, Canada
| | - Simona Baldassari
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Serena Tamburro
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Paolo Scudieri
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| | - Ilaria Musante
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Armando Di Ludovico
- Department of Pediatrics, Sant'Annunziata Hospital, University "G. D'Annunzio", Chieti, Italy
| | - Sara Guerrisi
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Ganna Balagura
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Antonio Corsello
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Stephanie Efthymiou
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom
| | - David Murphy
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom
| | - Paolo Uva
- Clinical Bioinformatics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | | | - Chiara Fiorillo
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Maurizio Delvecchio
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Andrea Accogli
- Division of Medical Genetics, Department of Specialized Medicine, McGill University, Montreal, QC, Canada
| | - Mayada Elsabbagh
- Montreal Neurological Institute-Hospital, Azrieli Centre for Autism Research, McGill University, Montreal, QC, Canada
| | - Henry Houlden
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom
| | - Stephen W Scherer
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- McLaughlin Centre, University of Toronto, Toronto, ON, Canada
| | - Pasquale Striano
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| | - Federico Zara
- Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| | - Tsui-Fen Chou
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
- Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, Pasadena, CA, United States
| | - Vincenzo Salpietro
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom
| |
Collapse
|
3
|
Boussetta A, Abida N, Jellouli M, Ziadi J, Gargah T. Delayed Graft Function in Pediatric Kidney Transplant: Risk Factors and Outcomes. EXP CLIN TRANSPLANT 2024; 22:110-117. [PMID: 38385384 DOI: 10.6002/ect.mesot2023.o20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
OBJECTIVES We aimed to identify risk factors and outcomes of delayed graft function in pediatric kidney transplant. MATERIALS AND METHODS This retrospective study included all kidney transplant recipients ≤19 years old followed up in our department for a period of 34 years, from January 1989 to December 2022. RESULTS We included 113 kidney transplant recipients. Delayed graft function occurred in 17 cases (15%). Posttransplant red blood cell transfusion was strongly associated with delayed graft function (adjusted odds ratio = 23.91; 95% CI, 2.889-197.915). Use of allografts with multiple arteries and cold ischemia time >20 hours were risk factors for delayed graft function (adjusted odds ratio = 52.51 and 49.4; 95% CI, 2.576-1070.407 and 1.833-1334.204, respectively). Sex-matched transplants and living donors were protective factors for delayed graft function (adjusted odds ratio = 0.043 and 0.027; 95% CI, 0.005-0.344 and 0.003-0.247, respectively). Total HLA mismatches <3 played a protective role for delayed graft function (adjusted odds ratio = 0.114; 95% CI, 0.020-0.662), whereas transplant within compatible but different blood types increased the risk of delayed graft function (adjusted odds ratio = 20.54; 95% CI, 1.960- 215.263). No significant correlation was shown between delayed graft function and allograft survival (P = .190). Our study suggested delayed graft function as a key factor in allograft rejection-free survival (adjusted odds ratio = 3.832; 95% CI, 1.186-12.377). Delayed graft function was a negative factor for early graft function; patients with delayed graft function had a lower estimated glomerular filtration rate at discharge (P = .024) and at 3 (P = .034), 6 (P = .019), and 12 months (P = .011) posttransplant. CONCLUSIONS Delayed graft function is a major determinant of early graft function and allograft rejection-free survival. Further research is required to establish proper preventive measures.
Collapse
Affiliation(s)
- Abir Boussetta
- From the Pediatric Nephrology Department, Charles Nicolle Hospital and the University of Tunis El Manar, Faculty of Medicine of Tunis, Tunis, Tunisia
| | | | | | | | | |
Collapse
|
4
|
Furley K, Mehra C, Goin-Kochel RP, Fahey MC, Hunter MF, Williams K, Absoud M. Developmental regression in children: Current and future directions. Cortex 2023; 169:5-17. [PMID: 37839389 DOI: 10.1016/j.cortex.2023.09.001] [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: 02/13/2023] [Revised: 06/20/2023] [Accepted: 09/20/2023] [Indexed: 10/17/2023]
Abstract
Developmental regression describes when a child loses previously established skills, such as the ability to speak words and is most recognised in neurodevelopmental conditions including Autism; Developmental Epileptic Encephalopathies, such as Landau Kleffner syndrome, and genetic conditions such as Rett syndrome and Phelan McDermid syndrome. Although studies have reported developmental regression for over 100 years, there remain significant knowledge gaps within and between conditions that feature developmental regression. The certainty of evidence from earlier work has been limited by condition-specific studies, retrospective methodology, and inconsistency in the definitions and measures used for classification. Given prior limitations in the field, there is a paucity of knowledge about neurocognitive mechanisms, trajectories and outcomes for children with developmental regression, and their families. Here we provide a comprehensive overview, synthesise key definitions, clinical measures, and aetiological clues associated with developmental regression and discuss impacts on caregiver physical and mental health to clarify challenges and highlight future directions in the field.
Collapse
Affiliation(s)
- Kirsten Furley
- Monash Children's Hospital, Melbourne, Australia; Department of Paediatrics, Monash University, Melbourne, Australia.
| | - Chirag Mehra
- Children's Neurosciences, Evelina London Children's Hospital, St Thomas' Hospital, London, UK; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Robin P Goin-Kochel
- Department of Pediatrics, Baylor College of Medicine, United States; Meyer Center for Developmental Pediatrics & Autism, Texas Children's Hospital, United States
| | - Michael C Fahey
- Monash Children's Hospital, Melbourne, Australia; Department of Paediatrics, Monash University, Melbourne, Australia
| | - Matthew F Hunter
- Monash Children's Hospital, Melbourne, Australia; Department of Paediatrics, Monash University, Melbourne, Australia
| | - Katrina Williams
- Monash Children's Hospital, Melbourne, Australia; Department of Paediatrics, Monash University, Melbourne, Australia
| | - Michael Absoud
- Children's Neurosciences, Evelina London Children's Hospital, St Thomas' Hospital, London, UK; Department of Women and Children's Health, King's College London, London, UK.
| |
Collapse
|
5
|
Han L, Guan L, Zhang Z, Li W, Li J, Bao C, Ye M, Tang M, Ke X. Risk factors and clinical characteristics of autism spectrum disorder with regression in China. Autism Res 2023; 16:1836-1846. [PMID: 37578311 DOI: 10.1002/aur.3008] [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: 06/01/2023] [Accepted: 07/26/2023] [Indexed: 08/15/2023]
Abstract
Autism spectrum disorder with regression (ASD-R) is characterized by the loss of previously acquired skills during the initial year of life. This study aimed to investigate the clinical characteristics, patterns of regression, and potential risk factors associated with ASD-R in the Chinese Han population. A case-control study was conducted between September 2020 and March 2022. A total of 186 children were enrolled, including 58 children with ASD-R, 70 with ASD without regression (ASD-NR), and 58 typically developing children. Demographic information, clinical characteristics, and potential risk factors related to ASD-R were assessed using a combination of questionnaires, interviews, and physician assessments. The results revealed that children with ASD-R exhibited more severe impairments in social communication and stereotyped behaviors compared with those with ASD-NR. Language regression, constituting 40% of cases within the ASD-R group, was found to be the most common type of regression. Furthermore, our analysis revealed that fever (OR = 4.01, 95% CI: 1.26-12.76) and diarrhea (OR = 6.32, 95% CI: 1.38-29.03) were identified as significant risk factors for ASD-R. These findings contribute to our understanding of the heterogeneity of ASD and highlight the importance of considering immune responses and gastrointestinal factors in the etiology of ASD-R.
Collapse
Affiliation(s)
- Lu Han
- Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Luyang Guan
- Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ziyi Zhang
- Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenqing Li
- Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jinhui Li
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chenxi Bao
- Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Mei Ye
- Nanjing Jiangning District Maternal and Child Health and Family Planning Service Center, Nanjing Jiangning District Maternal and Child Health Care Institute, Nanjing, China
| | - Min Tang
- Nanjing Jiangning District Maternal and Child Health and Family Planning Service Center, Nanjing Jiangning District Maternal and Child Health Care Institute, Nanjing, China
| | - Xiaoyan Ke
- Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China
| |
Collapse
|
6
|
Termine C, Galli V, Dui LG, Berlusconi V, Lipari R, Lunardini F, Ferrante S. Autism in Preschool-Aged Children: The Effects of COVID-19 Lockdown. J Autism Dev Disord 2023:10.1007/s10803-023-06078-4. [PMID: 37540405 DOI: 10.1007/s10803-023-06078-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2023] [Indexed: 08/05/2023]
Abstract
The COVID-19 lockdown affected children, especially those with autism spectrum disorder, due to the disruption in rehabilitation and educational activities. We conducted a cross-sectional study of 315 preschool-aged children, 35 of which had autism, to investigate this impact. A questionnaire was administered to explore socio-demographic status, familiar/home environment, and COVID-19 exposure. The clinical features of autistic subjects were also examined. Seven variables were considered to describe the effect of pandemic: Remote learning, Behavior changes, Home activities, Sleep habits, Night awakenings, Physical activity, Information about the virus. The lockdown had a significant impact on Remote learning, Behavior changes, and Information about the virus in participants with autism. Moreover, we found a worsening in repetitive movements, echolalia, restricted interests, and aggressive behaviors.
Collapse
Affiliation(s)
- Cristiano Termine
- Child Neuropsychiatry Unit, Department of Medicine and Surgery, University of Insubria, Piazza Biroldi 19, 21100, Varese, Italy
- Department of Maternal and Child Health, Del Ponte Hospital, Varese, Italy
| | - Vera Galli
- Child Neuropsychiatry Unit, Department of Medicine and Surgery, University of Insubria, Piazza Biroldi 19, 21100, Varese, Italy.
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
| | - Linda Greta Dui
- Department of Electronics, Information and Bioengineering, Politecnico Di Milano, Milan, Italy
| | - Valentina Berlusconi
- Child Neuropsychiatry Unit, Department of Medicine and Surgery, University of Insubria, Piazza Biroldi 19, 21100, Varese, Italy
| | - Rossella Lipari
- Child Neuropsychiatry Unit, Department of Medicine and Surgery, University of Insubria, Piazza Biroldi 19, 21100, Varese, Italy
| | - Francesca Lunardini
- Department of Electronics, Information and Bioengineering, Politecnico Di Milano, Milan, Italy
| | - Simona Ferrante
- Department of Electronics, Information and Bioengineering, Politecnico Di Milano, Milan, Italy
| |
Collapse
|
7
|
Schaeffer J, Abd El-Raziq M, Castroviejo E, Durrleman S, Ferré S, Grama I, Hendriks P, Kissine M, Manenti M, Marinis T, Meir N, Novogrodsky R, Perovic A, Panzeri F, Silleresi S, Sukenik N, Vicente A, Zebib R, Prévost P, Tuller L. Language in autism: domains, profiles and co-occurring conditions. J Neural Transm (Vienna) 2023; 130:433-457. [PMID: 36922431 PMCID: PMC10033486 DOI: 10.1007/s00702-023-02592-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 01/14/2023] [Indexed: 03/18/2023]
Abstract
This article reviews the current knowledge state on pragmatic and structural language abilities in autism and their potential relation to extralinguistic abilities and autistic traits. The focus is on questions regarding autism language profiles with varying degrees of (selective) impairment and with respect to potential comorbidity of autism and language impairment: Is language impairment in autism the co-occurrence of two distinct conditions (comorbidity), a consequence of autism itself (no comorbidity), or one possible combination from a series of neurodevelopmental properties (dimensional approach)? As for language profiles in autism, three main groups are identified, namely, (i) verbal autistic individuals without structural language impairment, (ii) verbal autistic individuals with structural language impairment, and (iii) minimally verbal autistic individuals. However, this tripartite distinction hides enormous linguistic heterogeneity. Regarding the nature of language impairment in autism, there is currently no model of how language difficulties may interact with autism characteristics and with various extralinguistic cognitive abilities. Building such a model requires carefully designed explorations that address specific aspects of language and extralinguistic cognition. This should lead to a fundamental increase in our understanding of language impairment in autism, thereby paving the way for a substantial contribution to the question of how to best characterize neurodevelopmental disorders.
Collapse
Affiliation(s)
- Jeannette Schaeffer
- Department of Literary and Cultural Analysis & Linguistics, Faculty of Humanities, University of Amsterdam, PO Box 1642, 1000 BP, Amsterdam, The Netherlands.
| | | | | | | | - Sandrine Ferré
- UMR 1253 iBrain, Université de Tours, INSERM, Tours, France
| | - Ileana Grama
- Department of Literary and Cultural Analysis & Linguistics, Faculty of Humanities, University of Amsterdam, PO Box 1642, 1000 BP, Amsterdam, The Netherlands
| | | | | | - Marta Manenti
- UMR 1253 iBrain, Université de Tours, INSERM, Tours, France
| | | | | | | | | | | | | | | | - Agustín Vicente
- University of the Basque Country, Vitoria-Gasteiz, Spain
- Basque Foundation for Science, Ikerbasque, Bilbao, Spain
| | - Racha Zebib
- UMR 1253 iBrain, Université de Tours, INSERM, Tours, France
| | | | - Laurice Tuller
- UMR 1253 iBrain, Université de Tours, INSERM, Tours, France
| |
Collapse
|
8
|
Napolitano A, Schiavi S, La Rosa P, Rossi-Espagnet MC, Petrillo S, Bottino F, Tagliente E, Longo D, Lupi E, Casula L, Valeri G, Piemonte F, Trezza V, Vicari S. Sex Differences in Autism Spectrum Disorder: Diagnostic, Neurobiological, and Behavioral Features. Front Psychiatry 2022; 13:889636. [PMID: 35633791 PMCID: PMC9136002 DOI: 10.3389/fpsyt.2022.889636] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/25/2022] [Indexed: 12/25/2022] Open
Abstract
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with a worldwide prevalence of about 1%, characterized by impairments in social interaction, communication, repetitive patterns of behaviors, and can be associated with hyper- or hypo-reactivity of sensory stimulation and cognitive disability. ASD comorbid features include internalizing and externalizing symptoms such as anxiety, depression, hyperactivity, and attention problems. The precise etiology of ASD is still unknown and it is undoubted that the disorder is linked to some extent to both genetic and environmental factors. It is also well-documented and known that one of the most striking and consistent finding in ASD is the higher prevalence in males compared to females, with around 70% of ASD cases described being males. The present review looked into the most significant studies that attempted to investigate differences in ASD males and females thus trying to shade some light on the peculiar characteristics of this prevalence in terms of diagnosis, imaging, major autistic-like behavior and sex-dependent uniqueness. The study also discussed sex differences found in animal models of ASD, to provide a possible explanation of the neurological mechanisms underpinning the different presentation of autistic symptoms in males and females.
Collapse
Affiliation(s)
- Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Sara Schiavi
- Section of Biomedical Sciences and Technologies, Science Department, Roma Tre University, Rome, Italy
| | - Piergiorgio La Rosa
- Division of Neuroscience, Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Maria Camilla Rossi-Espagnet
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
- NESMOS, Neuroradiology Department, S. Andrea Hospital Sapienza University, Rome, Italy
| | - Sara Petrillo
- Head Child and Adolescent Psychiatry Unit, Neuroscience Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Francesca Bottino
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Emanuela Tagliente
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Daniela Longo
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Elisabetta Lupi
- Head Child and Adolescent Psychiatry Unit, Neuroscience Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Laura Casula
- Head Child and Adolescent Psychiatry Unit, Neuroscience Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giovanni Valeri
- Head Child and Adolescent Psychiatry Unit, Neuroscience Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Fiorella Piemonte
- Neuromuscular and Neurodegenerative Diseases Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Viviana Trezza
- Section of Biomedical Sciences and Technologies, Science Department, Roma Tre University, Rome, Italy
| | - Stefano Vicari
- Child Neuropsychiatry Unit, Neuroscience Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
- Life Sciences and Public Health Department, Catholic University, Rome, Italy
| |
Collapse
|
9
|
Efremova A, Lisy J, Hrdlicka M. The relationship between brain abnormalities and autistic psychopathology in pervasive developmental disorders. J Appl Biomed 2021; 19:91-96. [PMID: 34907708 DOI: 10.32725/jab.2021.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 04/06/2021] [Indexed: 12/27/2022] Open
Abstract
The aim of the present research has been to determine whether there is a relationship between brain abnormalities found on magnetic resonance imaging (MRI) and autistic psychopathology. A retrospective analysis covering a period between 1998 and 2015 included 489 children with autism (404 boys, 85 girls; average age 8.0 ± 4.2 years) who underwent an MRI of the brain. For clinical diagnosis of autism, the International Classification of Diseases, 10th revision (ICD-10), was used. Autistic psychopathology was evaluated by means of the Autism Diagnostic Interview - Revised. The Spearman nonparametric correlation analysis and chi-square test were used to examine the possible relationships between variables. The group of autistic children did not manifest a statistically significant correlation between the parameters examined on MRI and autistic psychopathology. A correlation between other cysts and repetitive behavior was significant only at trend level (P = 0.054). Gliosis of the brain was significantly more frequent in autistic children with mental retardation than in children without mental retardation (14.1% vs. 7.4%; P = 0.028). Nonmyelinated areas in the brain were significantly more frequent in autistic children with autistic regression than in children without autistic regression (29.9% vs. 15.7%; P = 0.008). Mental retardation was significantly more frequent in autistic children with autistic regression than in children without regression (73.2% vs. 52.5%; P = 0.002). Our research study did not reveal a statistically significant correlation of brain abnormalities on MRI with autistic psychopathology.
Collapse
Affiliation(s)
- Andrea Efremova
- University Hospital Motol and Charles University, Second Faculty of Medicine, Department of Child Psychiatry, Prague, Czech Republic.,Charles University, First Faculty of Medicine, Prague, Czech Republic
| | - Jiri Lisy
- University Hospital Motol and Charles University, Second Faculty of Medicine, Department of Radiology, Prague, Czech Republic.,Hospital Na Homolce, Department of Radiology, Prague, Czech Republic
| | - Michal Hrdlicka
- University Hospital Motol and Charles University, Second Faculty of Medicine, Department of Child Psychiatry, Prague, Czech Republic.,Masaryk University, Faculty of Arts, Department of Psychology, Brno, Czech Republic
| |
Collapse
|
10
|
Alvari G, Coviello L, Furlanello C. EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders. Brain Sci 2021; 11:1555. [PMID: 34942856 PMCID: PMC8699076 DOI: 10.3390/brainsci11121555] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 11/04/2021] [Accepted: 11/19/2021] [Indexed: 12/26/2022] Open
Abstract
The high level of heterogeneity in Autism Spectrum Disorder (ASD) and the lack of systematic measurements complicate predicting outcomes of early intervention and the identification of better-tailored treatment programs. Computational phenotyping may assist therapists in monitoring child behavior through quantitative measures and personalizing the intervention based on individual characteristics; still, real-world behavioral analysis is an ongoing challenge. For this purpose, we designed EYE-C, a system based on OpenPose and Gaze360 for fine-grained analysis of eye-contact episodes in unconstrained therapist-child interactions via a single video camera. The model was validated on video data varying in resolution and setting, achieving promising performance. We further tested EYE-C on a clinical sample of 62 preschoolers with ASD for spectrum stratification based on eye-contact features and age. By unsupervised clustering, three distinct sub-groups were identified, differentiated by eye-contact dynamics and a specific clinical phenotype. Overall, this study highlights the potential of Artificial Intelligence in categorizing atypical behavior and providing translational solutions that might assist clinical practice.
Collapse
Affiliation(s)
- Gianpaolo Alvari
- Department of Psychology and Cognitive Sciences, University of Trento, Corso Bettini 84, 38068 Rovereto, Italy
- DSH Research Unit, Bruno Kessler Foundation, Via Sommarive 8, 38123 Trento, Italy
| | - Luca Coviello
- University of Trento, 38122 Trento, Italy;
- Enogis, Via al Maso Visintainer 8, 38122 Trento, Italy
| | - Cesare Furlanello
- HK3 Lab, Piazza Manifatture 1, 38068 Rovereto, Italy;
- Orobix Life, Via Camozzi 145, 24121 Bergamo, Italy
| |
Collapse
|
11
|
Prominent and Regressive Brain Developmental Disorders Associated with Nance-Horan Syndrome. Brain Sci 2021; 11:brainsci11091150. [PMID: 34573171 PMCID: PMC8465299 DOI: 10.3390/brainsci11091150] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022] Open
Abstract
Nance-Horan syndrome (NHS) is a rare X-linked developmental disorder caused mainly by loss of function variants in the NHS gene. NHS is characterized by congenital cataracts, dental anomalies, and distinctive facial features, and a proportion of the affected individuals also present intellectual disability and congenital cardiopathies. Despite identification of at least 40 distinct hemizygous variants leading to NHS, genotype-phenotype correlations remain largely elusive. In this study, we describe a Sicilian family affected with congenital cataracts and dental anomalies and diagnosed with NHS by whole-exome sequencing (WES). The affected boy from this family presented a late regression of cognitive, motor, language, and adaptive skills, as well as broad behavioral anomalies. Furthermore, brain imaging showed corpus callosum anomalies and periventricular leukoencephalopathy. We expand the phenotypic and mutational NHS spectrum and review potential disease mechanisms underlying the central neurological anomalies and the potential neurodevelopmental features associated with NHS.
Collapse
|
12
|
Chen J, Chen J, Xu Y, Cheng P, Yu S, Fu Y, Du Y. Retinol-binding protein 4 in combination with lipids to predict the regression phenomenon of autism spectrum disorders. Lipids Health Dis 2021; 20:93. [PMID: 34446012 PMCID: PMC8390196 DOI: 10.1186/s12944-021-01522-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/14/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND About 20-40 % of autistic people experience a phenomenon of regression. Retinol binding protein 4 (RBP4) plays an important role as an inflammatory neurotrophic adipokine and is a promising mediator of the fat-brain axis. Abnormal fatty acid metabolism and lipid mediators have been reported to be related to the etiological mechanism in autism, and amelioration of impaired lipid metabolism can be recognized as a treatment strategy for autism. The purpose of this study is to explore the relationship between RBP4, lipids, and the autistic regression phenomenon, and to discuss their potentials as biomarkers for the autistic regression phenomenon. METHODS A total of 60 autistic individuals (18 with regression phenomenon, 42 without regression phenomenon) (ASD group) and 36 healthy controls were enrolled in this case-control study. The levels of RBP4, total cholesterol (TC), high-density lipoprotein (HDLC), low-density lipoprotein (LDLC), and triglyceride (TG) were measured. Childhood Autism Rating Scale (CARS) is used to assess the severity of autism. Ethical measures were performed in compliance with the current Declaration of Helsinki and written informed consent was obtained from the parents before enrollment of the children and adolescents. RESULTS Compared with control subjects, autistic individuals had lower levels of TC (P = 0.007), RBP4 (P = 0.001), and HDLC (P = 0.027). The levels of RBP4 in ASD group were positively correlated with TG (r = 0.355, P = 0.005), HDLC (r = 0.257, P = 0.047), TG/TC (r = 0.376, P = 0.003) and TG/LDLC (r = 0.363, P = 0.004), and were negatively correlated with CARS (r=-0.296, P = 0.003). Further logistic regression demonstrated that decreased RBP4 concentration was associated with the presentation of the autistic regression phenomenon even after the adjustment of the potential confounding factors. CONCLUSIONS Serum RBP4 is associated with the autistic regression phenomenon and the severity of ASD. Further studies are needed to expound whether decreased RBP4 participates in the development of the autistic regression phenomenon.
Collapse
Affiliation(s)
- Jianling Chen
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, China
| | - Jing Chen
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, China
| | - Yun Xu
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, China
| | - Peipei Cheng
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, China
| | - Shunying Yu
- Department of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingmei Fu
- Department of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yasong Du
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, China.
| |
Collapse
|
13
|
Prescott KE, Ellis Weismer S. Children with ASD and Communication Regression: Examining Pre-Loss Skills and Later Language Outcomes Through the Preschool Years. J Autism Dev Disord 2021; 52:1956-1970. [PMID: 34061309 PMCID: PMC8633200 DOI: 10.1007/s10803-021-05098-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2021] [Indexed: 11/29/2022]
Abstract
This study investigated receptive and expressive language outcomes in children with autism spectrum disorder (ASD) with and without a history of language/communication regression, employing three progressively less stringent definitions of regression. Data were derived from a large, longitudinal sample of children with ASD in which regression was assessed at approximately 30 months. Results indicated poorer receptive language and larger discrepancies between receptive and expressive language in the regression group than the group without regression at 44 months but not 66 months. Number of words used before loss predicted receptive language at 44 months. Overall, results suggest that a regression profile in ASD is associated with modest and transient impacts on language outcomes that are no longer discernable at school entry.
Collapse
Affiliation(s)
- Kathryn E Prescott
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Goodnight Hall, 1975 Willow Drive, Madison, WI, 53706, USA.,Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA
| | - Susan Ellis Weismer
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Goodnight Hall, 1975 Willow Drive, Madison, WI, 53706, USA. .,Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA.
| |
Collapse
|
14
|
Gagnon D, Zeribi A, Douard É, Courchesne V, Rodríguez-Herreros B, Huguet G, Jacquemont S, Loum MA, Mottron L. Bayonet-shaped language development in autism with regression: a retrospective study. Mol Autism 2021; 12:35. [PMID: 33985558 PMCID: PMC8117564 DOI: 10.1186/s13229-021-00444-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 05/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Language delay is one of the major referral criteria for an autism evaluation. Once an autism spectrum diagnosis is established, the language prognosis is among the main parental concerns. Early language regression (ELR) is observed by 10–50% of parents but its relevance to late language level and socio-communicative ability is uncertain. This study aimed to establish the predictive value of ELR on the progression of language development and socio-communicative outcomes to guide clinicians in addressing parents’ concerns at the time of diagnosis. Methods We used socio-communicative, language, and cognitive data of 2,047 autism spectrum participants from the Simons Simplex Collection, aged 4–18 years (mean = 9 years; SD = 3.6). Cox proportional hazard and logistic regression models were used to evaluate the effect of ELR on language milestones and the probability of using complex and flexible language, as defined by the choice of ADOS module at enrollment. Linear models were then used to evaluate the relationship of ELR and non-verbal IQ with socio-communicative and language levels. Results ELR is associated with earlier language milestones but delayed attainment of fluent, complex, and flexible language. However, this language outcome can be expected for almost all autistic children without intellectual disability at 18 years of age. It is mostly influenced by non-verbal IQ, not ELR. The language and socio-communicative level of participants with flexible language, as measured by the Vineland and ADOS socio-communicative subscales, was not affected by ELR. Limitations This study is based on a relatively coarse measure of ultimate language level and relies on retrospective reporting of early language milestones and ELR. It does not prospectively document the age at which language catches up, the relationship between ELR and other behavioral areas of regression, nor the effects of intervention. Conclusions For autistic individuals with ELR and a normal level of non-verbal intelligence, language development follows a “bayonet shape” trajectory: early first words followed by regression, a plateau with limited progress, and then language catch up. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00444-8.
Collapse
Affiliation(s)
- David Gagnon
- Research Center of the CIUSSS-NIM, Hôpital Rivière-Des-Prairies, 7070, Boul. Perras, Montreal, QC, H2E 1A4, Canada.,Department of psychiatry, University of Montreal, 2900 Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Abderrahim Zeribi
- University of Montreal, 2900, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,University of Sherbrooke, 2500, Boul. de L'Université, Sherbrooke, QC, J1K 2R1, Canada.,Sainte-Justine Research Center, 3175, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Élise Douard
- University of Montreal, 2900, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,Sainte-Justine Research Center, 3175, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Valérie Courchesne
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, 3801 University Street, Montreal, QC, H3A 2B4, Canada
| | - Borja Rodríguez-Herreros
- Centre Cantonal Autisme, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Avenue de Beaumont 23, 1011, Lausanne, Switzerland
| | - Guillaume Huguet
- University of Montreal, 2900, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,Sainte-Justine Research Center, 3175, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Sébastien Jacquemont
- University of Montreal, 2900, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,Sainte-Justine Research Center, 3175, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Mor Absa Loum
- University of Montreal, 2900, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,Sainte-Justine Research Center, 3175, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Laurent Mottron
- Research Center of the CIUSSS-NIM, Hôpital Rivière-Des-Prairies, 7070, Boul. Perras, Montreal, QC, H2E 1A4, Canada. .,Department of psychiatry, University of Montreal, 2900 Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.
| |
Collapse
|
15
|
Constantino JN, Charman T, Jones EJH. Clinical and Translational Implications of an Emerging Developmental Substructure for Autism. Annu Rev Clin Psychol 2021; 17:365-389. [PMID: 33577349 PMCID: PMC9014692 DOI: 10.1146/annurev-clinpsy-081219-110503] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
A vast share of the population-attributable risk for autism relates to inherited polygenic risk. A growing number of studies in the past five years have indicated that inherited susceptibility may operate through a finite number of early developmental liabilities that, in various permutations and combinations, jointly predict familial recurrence of the convergent syndrome of social communication disability that defines the condition. Here, we synthesize this body of research to derive evidence for a novel developmental substructure for autism, which has profound implications for ongoing discovery efforts to elucidate its neurobiological causes, and to inform future clinical and biomarker studies, early interventions, and personalized approaches to therapy.
Collapse
Affiliation(s)
- John N Constantino
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA;
| | - Tony Charman
- Department of Psychology, King's College London Institute of Psychiatry, Psychology & Neuroscience, London SE5 8AF, United Kingdom
| | - Emily J H Jones
- Centre for Brain & Cognitive Development, Birkbeck, University of London, London WC1E 7HX, United Kingdom
| |
Collapse
|
16
|
Jonsdottir SL, Saemundsen E, Jonsson BG, Rafnsson V. Validation of the Modified Checklist for Autism in Toddlers, Revised with Follow-up in a Population Sample of 30-Month-Old Children in Iceland: A Prospective Approach. J Autism Dev Disord 2021; 52:1507-1522. [PMID: 33945117 DOI: 10.1007/s10803-021-05053-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2021] [Indexed: 01/24/2023]
Abstract
The Modified Checklist for Autism in Toddlers, Revised with Follow-up was validated on a population sample in Reykjavik, Iceland. The participants (N = 1585) were screened in well-child care at age 30 months and followed up for at least 2 years to identify autism cases. The sensitivity, specificity, positive and negative predictive values were 0.62, 0.99, 0.72, and 0.99, respectively. True-positive children were diagnosed 10 months earlier than false-negative children. Autism symptom severity and the proportions of children with verbal and performance IQs/DQs < 70 were similar between groups. Although the sensitivity was suboptimal, the screening contributed to lowering the age at diagnosis for many children. Adding autism-specific screening to the well-child care program should be considered.
Collapse
Affiliation(s)
- Sigridur Loa Jonsdottir
- State Diagnostic and Counseling Center, Digranesvegur 5, 200, Kopavogur, Iceland. .,Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
| | - Evald Saemundsen
- State Diagnostic and Counseling Center, Digranesvegur 5, 200, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Brynjolfur Gauti Jonsson
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Vilhjalmur Rafnsson
- Department of Preventive Medicine, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| |
Collapse
|
17
|
Gangi DN, Boterberg S, Schwichtenberg AJ, Solis E, Young GS, Iosif AM, Ozonoff S. Declining Gaze to Faces in Infants Developing Autism Spectrum Disorder: Evidence From Two Independent Cohorts. Child Dev 2021; 92:e285-e295. [PMID: 33615438 PMCID: PMC8169511 DOI: 10.1111/cdev.13471] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 04/02/2020] [Accepted: 07/05/2020] [Indexed: 12/30/2022]
Abstract
Two independent cohorts (N = 155, N = 126) of infants at high and low risk for autism spectrum disorder (ASD) were followed prospectively between 6 and 36 months of age, when n = 46 were diagnosed with ASD. Gaze to adult faces was coded-during a developmental assessment (Cohort 1) or a play interaction (Cohort 2). Across both cohorts, most children developing ASD showed sharp declines in gaze to faces over time, relative to children without ASD. These findings suggest that declining developmental trajectories may be more common than previously recognized by retrospective methods. Trajectory-based screening methods could potentially identify children in the early stages of symptom onset and allow for early intervention before the full disorder has developed.
Collapse
|
18
|
Use of Home Videos for Investigation of Early Development and Skill Loss in Children Diagnosed with Autistic Regression: a Systematic Review. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2021. [DOI: 10.1007/s40489-021-00241-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
19
|
Lopez-Espejo MA, Nuñez AC, Moscoso OC, Escobar RG. Brief Report: Health-Related Quality of Life in Preschoolers with Autism Spectrum Disorder is Related to Diagnostic Age and Autistic Symptom Severity. J Autism Dev Disord 2021; 51:4704-4710. [PMID: 33569707 DOI: 10.1007/s10803-021-04909-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/29/2021] [Indexed: 10/22/2022]
Abstract
We conducted a cross-sectional study to explore whether clinical characteristics and autism diagnostic-traits severity are associated with caregiver-reported impairment of health-related quality of life (Pediatric Quality of Life Inventory Generic Core Scales, Fourth Edition) in 93 Chilean toddlers (age: 2-4 years) with autism spectrum disorder. Median total scale, physical health, and psychosocial health scores were 76 (IQR 70-81), 88 (IQR 81-94), and 71 (IQR 62-79), respectively. In multiple-regression analysis, diagnostic age (β = 0.219; p 0.021) and Calibrated Severity Score of Autism Diagnostic Observation Schedule, second edition (β = - 0.434; p < 0.001) were independently correlated to the total scale score. Lower age and higher autistic traits severity at diagnosis are correlated with worse well-being perception by caregivers.
Collapse
Affiliation(s)
- Mauricio A Lopez-Espejo
- Unit of Neurology, Division of Pediatrics, School of Medicine, Pontificia Universidad Catolica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile.
| | - Alicia C Nuñez
- Unit of Neurology, Division of Pediatrics, School of Medicine, Pontificia Universidad Catolica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| | - Odalie C Moscoso
- Unit of Neurology, Division of Pediatrics, School of Medicine, Pontificia Universidad Catolica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| | - Raul G Escobar
- Unit of Neurology, Division of Pediatrics, School of Medicine, Pontificia Universidad Catolica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| |
Collapse
|
20
|
Tan C, Frewer V, Cox G, Williams K, Ure A. Prevalence and Age of Onset of Regression in Children with Autism Spectrum Disorder: A Systematic Review and Meta-analytical Update. Autism Res 2021; 14:582-598. [PMID: 33491292 DOI: 10.1002/aur.2463] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 11/10/2020] [Accepted: 12/05/2020] [Indexed: 01/22/2023]
Abstract
A systematic review published in 2013 reported 32% of children on the autism spectrum experience skill loss, known as autistic regression. However, the frequency varied depending on definition and measures used to capture skills. Retrospective parent report and prospective observation indicate loss of language and/or social skills, with motor skills typically unaffected. Our aim was to update the prevalence and age of onset of autistic regression through a meta-analysis of the literature to understand if there have been changes to the reported onset and prevalence since 2010. A systematic literature search was conducted using Medline, Embase, PsycINFO, and the Cochrane Library databases and included studies published from 2010 onward. Risk of bias assessment was performed on included studies. A random effects model was used to calculate the pooled prevalence and age of onset of autistic regression. Ninety-seven studies were included in the systematic review, of which 75 studies involving 33,014 participants had sufficient data for meta-analytic syntheses. The pooled proportion of autistic regression was 30% (95% confidence interval [CI]: 27-32%) but heterogeneity was high (I2 = 96.91) and did not reduce with sensitivity or subgroup analyses based on study design or clinical differences, respectively. Prevalence varied according to risk of bias (low: 27%) and definition of regression (language: 20%, language/social: 40%, mixed: 30%, and unspecified: 27%). Weighted average age of onset was 19.8 months. Findings from this meta-analysis highlight the importance of developing a standardized definition of autistic regression, and tools to measure this at multiple time points during early childhood development. LAY SUMMARY: About a third of children with Autism Spectrum Disorder experience loss of skills, which is also known as autistic regression. This paper provides an update of the rate of autistic regression in children and the age when they first experience loss of skills, based on current studies. The findings from this review contribute to our understanding of the onset patterns of autistic regression. Unfortunately, studies are not sufficiently similar, making it difficult to provide clear answers on the exact timing or type of regression seen in different children.
Collapse
Affiliation(s)
- Christine Tan
- Department of Paediatrics and Melbourne School of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Veronica Frewer
- Department of Paediatrics and Melbourne School of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Neurodisability & Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Georgina Cox
- Neurodisability & Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics & Education Research, Monash University, Clayton, Victoria, Australia
| | - Katrina Williams
- Department of Paediatrics and Melbourne School of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Neurodisability & Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics & Education Research, Monash University, Clayton, Victoria, Australia.,Developmental Paediatrics, Monash Children's Hospital, Clayton, Victoria, Australia
| | - Alexandra Ure
- Department of Paediatrics and Melbourne School of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Neurodisability & Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics & Education Research, Monash University, Clayton, Victoria, Australia.,Developmental Paediatrics, Monash Children's Hospital, Clayton, Victoria, Australia
| |
Collapse
|
21
|
Hofer J, Fellinger J. Autismus-Spektrum-Störungen: von der Früherfassung zu Intervention und Begleitung. Monatsschr Kinderheilkd 2021. [DOI: 10.1007/s00112-020-01116-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
ZusammenfassungAutismus-Spektrum-Störungen zeigen eine Prävalenz von 1 %. Die unterschiedlich stark ausgeprägte, soziale Interaktions- und Kommunikationsstörung ist gekennzeichnet durch eingeschränkte Fähigkeit, sich sprachlich und nichtsprachlich auf andere Menschen einzustellen. Weitere Kernsymptome sind repetitive und stereotype Verhaltens- und Interessenmuster.Symptome einer Autismus-Spektrum-Störung zeigen sich überwiegend bereits während des Kleinkindalters und persistieren meist über die Lebensspanne in unterschiedlicher Phänomenologie und unterschiedlichem Ausprägungsgrad.Wichtige abzugrenzende, aber auch begleitende Störungen bei jungen Kindern sind: kognitive Entwicklungsstörungen, Aufmerksamkeitsdefizit- und Hyperaktivitätssyndrom und Sprachstörungen.Früherkennung ist häufig bereits im zweiten Lebensjahr möglich. Evidenzbasierte, effektive Frühinterventionsmodelle existieren, sind aktuell aber im deutschsprachigen Raum noch nicht flächendeckend verfügbar.Angesichts der hohen Belastung für Familie und Umfeld ist ein kompetentes ärztliches Case Management mit Vernetzung zu Systempartnern aus Bildungs- und Sozialwesen notwendig.
Collapse
|
22
|
The effects of sex on prevalence and mechanisms underlying neurodevelopmental disorders. HANDBOOK OF CLINICAL NEUROLOGY 2020. [PMID: 32958183 DOI: 10.1016/b978-0-444-64150-2.00025-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Neurodevelopmental disorders occur more frequently in boys than in girls and often differ in presentation between the sexes. The sex differences in prevalence and presentation of autism spectrum disorder, intellectual disability, communication disorders, specific learning disabilities, attention deficit/hyperactivity disorder, Tourette's syndrome, and epilepsy are discussed, as well as sex differences in the patterns of comorbidities between these disorders. Prominent theories have been proposed to explain sex biases. These include genetic factors, sex hormones, sociological factors, cognitive differences between the sexes, and environmental insult. Despite the large body of research reviewed in this chapter, many aspects of sex-related effects in neurodevelopmental disorders remain poorly understood.
Collapse
|
23
|
Fombonne E, Goin-Kochel RP, O'Roak BJ. Beliefs in vaccine as causes of autism among SPARK cohort caregivers. Vaccine 2020; 38:1794-1803. [PMID: 31924427 PMCID: PMC10515441 DOI: 10.1016/j.vaccine.2019.12.026] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 12/09/2019] [Accepted: 12/11/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Fear of autism has led to a decline in childhood-immunization uptake and to a resurgence of preventable infectious diseases. Identifying characteristics of parents who believe in a causal role of vaccines for autism spectrum disorder (ASD) in their child may help targeting educational activities and improve adherence to the immunization schedule. OBJECTIVES To compare caregivers of children with ASD who agree or disagree that vaccines play an etiological role in autism for 1) socio-demographics characteristics and 2) developmental and clinical profiles of their children. METHODS Data from 16,525 participants with ASD under age 18 were obtained from SPARK, a national research cohort started in 2016. Caregivers completed questionnaires at registration that included questions on beliefs about the etiologic role of childhood immunizations and other factors in ASD. Data were available about family socio-demographic characteristics, first symptoms of autism, developmental regression, co-occurring psychiatric disorders, seizures, and current levels of functioning. RESULTS Participants with ASD were 80.4% male with a mean age of 8.1 years (SD = 4.1). Overall, 16.5% of caregivers endorsed immunizations as perceived causes of autism. Compared to caregivers who disagreed with vaccines as a cause for ASD, those who believed in vaccine causation came disproportionately from ethnic minority, less educated, and less wealthy backgrounds. More often their children had experienced developmental regression involving language and other skills, were diagnosed earlier, had lost skills during the second year of life, and had worse language, adaptive, and cognitive outcomes. CONCLUSION One in six caregivers who participate in a national research cohort believe that child immunizations could be a cause of autism in their child. Parent social background (non-White, less educated) and child developmental features (regression in second year, poorer language skills, and worse adaptive outcomes) index caregivers who are more likely to harbor these beliefs and could benefit from targeted educational activities.
Collapse
Affiliation(s)
- Eric Fombonne
- Departments of Psychiatry, Pediatrics & Behavioral Neuroscience - Oregon Health & Science University, Portland, OR, USA.
| | | | - Brian J O'Roak
- Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| |
Collapse
|
24
|
Lord C, Brugha TS, Charman T, Cusack J, Dumas G, Frazier T, Jones EJH, Jones RM, Pickles A, State MW, Taylor JL, Veenstra-VanderWeele J. Autism spectrum disorder. Nat Rev Dis Primers 2020; 6:5. [PMID: 31949163 PMCID: PMC8900942 DOI: 10.1038/s41572-019-0138-4] [Citation(s) in RCA: 560] [Impact Index Per Article: 140.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/26/2019] [Indexed: 12/27/2022]
Abstract
Autism spectrum disorder is a construct used to describe individuals with a specific combination of impairments in social communication and repetitive behaviours, highly restricted interests and/or sensory behaviours beginning early in life. The worldwide prevalence of autism is just under 1%, but estimates are higher in high-income countries. Although gross brain pathology is not characteristic of autism, subtle anatomical and functional differences have been observed in post-mortem, neuroimaging and electrophysiological studies. Initially, it was hoped that accurate measurement of behavioural phenotypes would lead to specific genetic subtypes, but genetic findings have mainly applied to heterogeneous groups that are not specific to autism. Psychosocial interventions in children can improve specific behaviours, such as joint attention, language and social engagement, that may affect further development and could reduce symptom severity. However, further research is necessary to identify the long-term needs of people with autism, and treatments and the mechanisms behind them that could result in improved independence and quality of life over time. Families are often the major source of support for people with autism throughout much of life and need to be considered, along with the perspectives of autistic individuals, in both research and practice.
Collapse
Affiliation(s)
- Catherine Lord
- Departments of Psychiatry and School of Education, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Traolach S Brugha
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Guillaume Dumas
- Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France
| | | | - Emily J H Jones
- Centre for Brain & Cognitive Development, University of London, London, UK
| | - Rebecca M Jones
- The Sackler Institute for Developmental Psychobiology, New York, NY, USA
- The Center for Autism and the Developing Brain, White Plains, NY, USA
| | - Andrew Pickles
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Matthew W State
- Department of Psychiatry, Langley Porter Psychiatric Institute and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Julie Lounds Taylor
- Department of Pediatrics and Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | |
Collapse
|
25
|
Boterberg S, Van Coster R, Roeyers H. Characteristics, Early Development and Outcome of Parent-Reported Regression in Autism Spectrum Disorder. J Autism Dev Disord 2020; 49:4603-4625. [PMID: 31463633 DOI: 10.1007/s10803-019-04183-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
This study explored regression patterns in 100 children with ASD (3-11 years) using several approaches to enhance the validity of retrospective parent report. Both early development and outcome were examined in regression groups defined by 36 months age cut-off and two underlying empirical patterns based on type and onset age. Results over regression groups were generally consistent. During early development, children with regression showed a similar amount of social atypicalities and stereotyped behaviour as compared to children without regression. However, parents indicated less communication skills which could be a valuable predictor of regression. Development after regression was characterised by early language delay and more restricted and repetitive behaviour. The findings provide insight into the diagnosis and prognosis of regression in ASD.
Collapse
Affiliation(s)
- Sofie Boterberg
- Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium.
| | - Rudy Van Coster
- Department of Paediatric Neurology and Metabolism, Faculty of Medicine and Health Sciences, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium
| | - Herbert Roeyers
- Department of Paediatric Neurology and Metabolism, Faculty of Medicine and Health Sciences, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium
| |
Collapse
|
26
|
Manelis L, Meiri G, Ilan M, Flusser H, Michaelovski A, Faroy M, Kerub O, Dinstein I, Menashe I. Language regression is associated with faster early motor development in children with autism spectrum disorder. Autism Res 2019; 13:145-156. [DOI: 10.1002/aur.2197] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 07/19/2019] [Accepted: 07/26/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Liora Manelis
- Psychology DepartmentBen Gurion University Beer Sheva Israel
- Zlotowski Center for NeuroscienceBen Gurion University Beer Sheva Israel
| | - Gal Meiri
- Pre‐School Psychiatry UnitSoroka University Medical Center Beer Sheva Israel
| | - Michal Ilan
- Psychology DepartmentBen Gurion University Beer Sheva Israel
- Pre‐School Psychiatry UnitSoroka University Medical Center Beer Sheva Israel
| | - Hagit Flusser
- Zusman Child Development CenterSoroka University Medical Center Beer Sheva Israel
| | - Analya Michaelovski
- Zusman Child Development CenterSoroka University Medical Center Beer Sheva Israel
| | - Michal Faroy
- Pre‐School Psychiatry UnitSoroka University Medical Center Beer Sheva Israel
| | | | - Ilan Dinstein
- Psychology DepartmentBen Gurion University Beer Sheva Israel
- Zlotowski Center for NeuroscienceBen Gurion University Beer Sheva Israel
- Cognitive and Brain Sciences DepartmentBen Gurion University Beer Sheva Israel
| | - Idan Menashe
- Zlotowski Center for NeuroscienceBen Gurion University Beer Sheva Israel
- Public Health DepartmentBen Gurion University Beer Sheva Israel
| |
Collapse
|
27
|
Zhang D, Bedogni F, Boterberg S, Camfield C, Camfield P, Charman T, Curfs L, Einspieler C, Esposito G, De Filippis B, Goin-Kochel RP, Höglinger GU, Holzinger D, Iosif AM, Lancioni GE, Landsberger N, Laviola G, Marco EM, Müller M, Neul JL, Nielsen-Saines K, Nordahl-Hansen A, O'Reilly MF, Ozonoff S, Poustka L, Roeyers H, Rankovic M, Sigafoos J, Tammimies K, Townend GS, Zwaigenbaum L, Zweckstetter M, Bölte S, Marschik PB. Towards a consensus on developmental regression. Neurosci Biobehav Rev 2019; 107:3-5. [PMID: 31442516 DOI: 10.1016/j.neubiorev.2019.08.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 08/16/2019] [Accepted: 08/19/2019] [Indexed: 11/16/2022]
Affiliation(s)
- Dajie Zhang
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany; iDN - interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria; Leibniz ScienceCampus Primate Cognition, Goettingen, Germany
| | - Francesco Bedogni
- Neuroscience Division, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sofie Boterberg
- Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Carol Camfield
- Department of Pediatrics, Dalhousie University and the IWK Health Centre, Canada
| | - Peter Camfield
- Department of Pediatrics, Dalhousie University and the IWK Health Centre, Canada
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Leopold Curfs
- Rett Expertise Centre-GKC, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Christa Einspieler
- iDN - interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Gianluca Esposito
- Social & Affiliative Neuroscience Lab, Psychology Program, Nanyang Technological University, Singapore; Affiliative Behaviour & Physiology Lab, Department of Psychology and Cognitive Sciences, University of Trento, Trento, Italy
| | - Bianca De Filippis
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Robin P Goin-Kochel
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Autism Center, Texas Children's Hospital, Houston, TX, USA
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Germany; Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Daniel Holzinger
- Hospital of St. John of God, Institute for Neurology of Senses and Language, Linz, Austria; Research Institute for Developmental Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Ana-Maria Iosif
- Department of Public Health Sciences, University of California, Davis, Davis CA, USA
| | - Giulio E Lancioni
- Department of Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | | | - Giovanni Laviola
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Eva M Marco
- Department of Genetics, Physiology and Microbiology, Faculty of Biological Sciences, Universidad Complutense de Madrid, Madrid, Spain
| | - Michael Müller
- Institute of Neuro- and Sensory Physiology, University Medical Center Goettingen, Georg-August-University Goettingen, Germany
| | | | - Karin Nielsen-Saines
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | | | - Mark F O'Reilly
- Department of Special Education, University of Texas at Austin, Austin TX, USA
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California, Davis, Sacramento CA, USA
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany; Leibniz ScienceCampus Primate Cognition, Goettingen, Germany
| | - Herbert Roeyers
- Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Marija Rankovic
- Department for NMR-based Structural Biology, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany
| | - Jeff Sigafoos
- School of Education, Victoria University of Wellington, Wellington, New Zealand
| | - Kristiina Tammimies
- Center of Neurodevelopmental Disorders (KIND), Division of Neuropsychiatry, Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Gillian S Townend
- Rett Expertise Centre-GKC, Maastricht University Medical Centre, Maastricht, the Netherlands
| | | | - Markus Zweckstetter
- Department for NMR-based Structural Biology, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Division of Neuropsychiatry, Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Curtin Autism Research Group, School of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Perth, Western Australia, Australia
| | - Peter B Marschik
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany; iDN - interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria; Leibniz ScienceCampus Primate Cognition, Goettingen, Germany; Center of Neurodevelopmental Disorders (KIND), Division of Neuropsychiatry, Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
28
|
Goin-Kochel RP. On measuring regression in autism spectrum disorder: A commentary. Neurosci Biobehav Rev 2019; 104:116-117. [PMID: 31283954 DOI: 10.1016/j.neubiorev.2019.06.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 06/21/2019] [Accepted: 06/23/2019] [Indexed: 11/25/2022]
Affiliation(s)
- Robin P Goin-Kochel
- Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States; Autism Center, Texas Children's Hospital, 8080 N. Stadium Drive, Suite 100, Houston, TX 77054, United States.
| |
Collapse
|
29
|
Genetic mechanisms of regression in autism spectrum disorder. Neurosci Biobehav Rev 2019; 102:208-220. [DOI: 10.1016/j.neubiorev.2019.04.022] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 02/12/2019] [Accepted: 04/28/2019] [Indexed: 12/17/2022]
|
30
|
Ozonoff S, Iosif AM. Changing conceptualizations of regression: What prospective studies reveal about the onset of autism spectrum disorder. Neurosci Biobehav Rev 2019; 100:296-304. [PMID: 30885812 PMCID: PMC6451681 DOI: 10.1016/j.neubiorev.2019.03.012] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 02/12/2019] [Accepted: 03/14/2019] [Indexed: 12/23/2022]
Abstract
Until the last decade, studies of the timing of early symptom emergence in autism spectrum disorder (ASD) relied upon retrospective methods. Recent investigations, however, are raising significant questions about the accuracy and validity of such data. Questions about when and how behavioral signs of autism emerge may be better answered through prospective studies, in which infants are enrolled near birth and followed longitudinally until the age at which ASD can be confidently diagnosed or ruled out. This review summarizes the results of recent studies that utilized prospective methods to study infants at high risk of developing ASD due to family history. Collectively, prospective studies demonstrate that the onset of ASD involves declines in the rates of key social and communication behaviors during the first years of life for most children. This corpus of literature suggests that regressive onset patterns occur much more frequently than previously recognized and may be the rule rather than the exception.
Collapse
Affiliation(s)
- Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California - Davis, 2825 50th Street, Sacramento CA, 95817, USA.
| | - Ana-Maria Iosif
- Department of Public Health Sciences, University of California - Davis, Medical Sciences 1C, Davis CA, 95616, USA.
| |
Collapse
|
31
|
Boterberg S, Charman T, Marschik PB, Bölte S, Roeyers H. Regression in autism spectrum disorder: A critical overview of retrospective findings and recommendations for future research. Neurosci Biobehav Rev 2019; 102:24-55. [PMID: 30917924 DOI: 10.1016/j.neubiorev.2019.03.013] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 03/15/2019] [Accepted: 03/18/2019] [Indexed: 11/16/2022]
Abstract
Historically, two onset patterns in autism spectrum disorder (ASD) were described: early onset of symptoms and regression in which one-third appear to show a loss of previously established skills in the second year of life. Since this phenomenon could represent a distinct ASD subtype and provide more insight into the etiology, diagnosis, and prognosis, many studies have compared these two groups. The present review discusses definitions, etiology, and methods used in research with a retrospective design and provides an overview of the results on early development and outcomes. However, retrospective research has not provided clear answers on regression as a distinct subtype of ASD and the historic division between early onset and regression does not seem to fit the empirical findings. Based on inconsistent results, future research on onset patterns in ASD needs to be more systematic on the definitions and methods used. Several recommendations to enhance the reliability of future retrospective results are discussed. The combination of a categorical and dimensional approach provides a new interesting framework.
Collapse
Affiliation(s)
- Sofie Boterberg
- Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium.
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Peter B Marschik
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany; iDN - Interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health, Karolinska Institutet & Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Curtin Autism Research Group, School of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Perth, Western Australia, Australia
| | - Herbert Roeyers
- Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| |
Collapse
|
32
|
Abstract
Abstract
Jaswal & Akhtar (J&A) offer evidence against lack of social motivation in “autistic people,” providing no further phenotypic details as to the autism spectrum disorder (ASD) subgroups that they refer to. I will argue that given the extensive behavioral and neurobiological heterogeneity among people who receive the diagnosis, reference to “autistic people” is misleading. As a consequence, J&A's claims are difficult to interpret.
Collapse
|