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Asad Z, Fakheir Y, Abukhaled Y, Khalil R. Implications of altered pyramidal cell morphology on clinical symptoms of neurodevelopmental disorders. Eur J Neurosci 2024. [PMID: 39054743 DOI: 10.1111/ejn.16484] [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] [Received: 02/13/2024] [Revised: 05/26/2024] [Accepted: 07/13/2024] [Indexed: 07/27/2024]
Abstract
The prevalence of pyramidal cells (PCs) in the mammalian cerebral cortex underscore their value as they play a crucial role in various brain functions, ranging from cognition, sensory processing, to motor output. PC morphology significantly influences brain connectivity and plays a critical role in maintaining normal brain function. Pathological alterations to PC morphology are thought to contribute to the aetiology of neurodevelopmental disorders such as autism spectrum disorder (ASD) and schizophrenia. This review explores the relationship between abnormalities in PC morphology in key cortical areas and the clinical manifestations in schizophrenia and ASD. We focus largely on human postmortem studies and provide evidence that dendritic segment length, complexity and spine density are differentially affected in these disorders. These morphological alterations can lead to disruptions in cortical connectivity, potentially contributing to the cognitive and behavioural deficits observed in these disorders. Furthermore, we highlight the importance of investigating the functional and structural characteristics of PCs in these disorders to illuminate the underlying pathogenesis and stimulate further research in this area.
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Affiliation(s)
- Zummar Asad
- School of Medicine, Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland
| | - Yara Fakheir
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Yara Abukhaled
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Reem Khalil
- Department of Biology, Chemistry and Environmental Sciences, American University of Sharjah, Sharjah, United Arab Emirates
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2
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Gurr C, Splittgerber M, Puonti O, Siemann J, Luckhardt C, Pereira HC, Amaral J, Crisóstomo J, Sayal A, Ribeiro M, Sousa D, Dempfle A, Krauel K, Borzikowsky C, Brauer H, Prehn-Kristensen A, Breitling-Ziegler C, Castelo-Branco M, Salvador R, Damiani G, Ruffini G, Siniatchkin M, Thielscher A, Freitag CM, Moliadze V, Ecker C. Neuroanatomical Predictors of Transcranial Direct Current Stimulation (tDCS)-Induced Modifications in Neurocognitive Task Performance in Typically Developing Individuals. J Neurosci 2024; 44:e1372232024. [PMID: 38548336 PMCID: PMC11140687 DOI: 10.1523/jneurosci.1372-23.2024] [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] [Received: 07/21/2023] [Revised: 01/09/2024] [Accepted: 01/27/2024] [Indexed: 05/31/2024] Open
Abstract
Transcranial direct current stimulation (tDCS) is a noninvasive neuromodulation technique gaining more attention in neurodevelopmental disorders (NDDs). Due to the phenotypic heterogeneity of NDDs, tDCS is unlikely to be equally effective in all individuals. The present study aimed to establish neuroanatomical markers in typically developing (TD) individuals that may be used for the prediction of individual responses to tDCS. Fifty-seven male and female children received 2 mA anodal and sham tDCS, targeting the left dorsolateral prefrontal cortex (DLPFCleft), right inferior frontal gyrus, and bilateral temporoparietal junction. Response to tDCS was assessed based on task performance differences between anodal and sham tDCS in different neurocognitive tasks (N-back, flanker, Mooney faces detection, attentional emotional recognition task). Measures of cortical thickness (CT) and surface area (SA) were derived from 3 Tesla structural MRI scans. Associations between neuroanatomy and task performance were assessed using general linear models (GLM). Machine learning (ML) algorithms were employed to predict responses to tDCS. Vertex-wise estimates of SA were more closely linked to differences in task performance than measures of CT. Across ML algorithms, highest accuracies were observed for the prediction of N-back task performance differences following stimulation of the DLPFCleft, where 65% of behavioral variance was explained by variability in SA. Lower accuracies were observed for all other tasks and stimulated regions. This suggests that it may be possible to predict individual responses to tDCS for some behavioral measures and target regions. In the future, these models might be extended to predict treatment outcome in individuals with NDDs.
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Affiliation(s)
- Caroline Gurr
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main 60528, Germany
| | - Maike Splittgerber
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel 24105, Germany
| | - Oula Puonti
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre 2650, Denmark
| | - Julia Siemann
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, Protestant Hospital Bethel, University of Bielefeld, Bielefeld 33617, Germany
| | - Christina Luckhardt
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main 60528, Germany
| | - Helena C Pereira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | - Joana Amaral
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | - Joana Crisóstomo
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | - Alexandre Sayal
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | - Mário Ribeiro
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | - Daniela Sousa
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | - Astrid Dempfle
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig Holstein, Kiel 24105, Germany
| | - Kerstin Krauel
- Department of Child and Adolescent Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg 39130, Germany
- German Center for Mental Health (DZPG), partner site Halle-Jena- Magdeburg, Magdeburg 39120, Germany
| | - Christoph Borzikowsky
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig Holstein, Kiel 24105, Germany
| | - Hannah Brauer
- Department of Child and Adolescent Psychiatry, Center for Integrative Psychiatry Kiel, University Medical Center Schleswig-Holstein, Kiel 24105, Germany
| | - Alexander Prehn-Kristensen
- Department of Child and Adolescent Psychiatry, Center for Integrative Psychiatry Kiel, University Medical Center Schleswig-Holstein, Kiel 24105, Germany
| | - Carolin Breitling-Ziegler
- Department of Child and Adolescent Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg 39130, Germany
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences applied to Health (ICNAS), Faculty of Medicine, Academic Clinical Centre, University of Coimbra, Coimbra 3000-548, Portugal
| | | | | | | | - Michael Siniatchkin
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, Protestant Hospital Bethel, University of Bielefeld, Bielefeld 33617, Germany
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre 2650, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main 60528, Germany
| | - Vera Moliadze
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel 24105, Germany
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main 60528, Germany
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3
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Davidson TL, Stevenson RJ. Vulnerability of the Hippocampus to Insults: Links to Blood-Brain Barrier Dysfunction. Int J Mol Sci 2024; 25:1991. [PMID: 38396670 PMCID: PMC10888241 DOI: 10.3390/ijms25041991] [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] [Received: 01/03/2024] [Revised: 01/25/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024] Open
Abstract
The hippocampus is a critical brain substrate for learning and memory; events that harm the hippocampus can seriously impair mental and behavioral functioning. Hippocampal pathophysiologies have been identified as potential causes and effects of a remarkably diverse array of medical diseases, psychological disorders, and environmental sources of damage. It may be that the hippocampus is more vulnerable than other brain areas to insults that are related to these conditions. One purpose of this review is to assess the vulnerability of the hippocampus to the most prevalent types of insults in multiple biomedical domains (i.e., neuroactive pathogens, neurotoxins, neurological conditions, trauma, aging, neurodegenerative disease, acquired brain injury, mental health conditions, endocrine disorders, developmental disabilities, nutrition) and to evaluate whether these insults affect the hippocampus first and more prominently compared to other brain loci. A second purpose is to consider the role of hippocampal blood-brain barrier (BBB) breakdown in either causing or worsening the harmful effects of each insult. Recent research suggests that the hippocampal BBB is more fragile compared to other brain areas and may also be more prone to the disruption of the transport mechanisms that act to maintain the internal milieu. Moreover, a compromised BBB could be a factor that is common to many different types of insults. Our analysis indicates that the hippocampus is more vulnerable to insults compared to other parts of the brain, and that developing interventions that protect the hippocampal BBB may help to prevent or ameliorate the harmful effects of many insults on memory and cognition.
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Affiliation(s)
- Terry L. Davidson
- Department of Neuroscience, Center for Neuroscience and Behavior, American University, 4400 Massachusetts Avenue, NW, Washington, DC 20016, USA
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Lage C, Smith ES, Lawson RP. A meta-analysis of cognitive flexibility in autism spectrum disorder. Neurosci Biobehav Rev 2024; 157:105511. [PMID: 38104788 DOI: 10.1016/j.neubiorev.2023.105511] [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: 09/06/2023] [Revised: 12/04/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023]
Abstract
Cognitive flexibility is a fundamental process that underlies adaptive behaviour in response to environmental change. Studies examining the profile of cognitive flexibility in autism spectrum disorder (ASD) have reported inconsistent findings. To address whether difficulties with cognitive flexibility are characteristic of autism, we conducted a random-effects meta-analysis and employed subgroup analyses and meta-regression to assess the impact of relevant moderator variables such as task, outcomes, and age. Fifty-nine studies were included and comprised of 2122 autistic individuals without intellectual disabilities and 2036 neurotypical controls, with an age range of 4 to 85 years. The results showed that autistic individuals have greater difficulties with cognitive flexibility, with an overall statistically significant small to moderate effect size. Subgroup analyses revealed a significant difference between task outcomes, with perseverative errors obtaining the largest effect size. In summary, the present meta-analysis highlights the existence of cognitive flexibility difficulties in autistic people, in the absence of learning disabilities, but also that this profile is characterised by substantial heterogeneity. Potential contributing factors are discussed.
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Affiliation(s)
- Claudia Lage
- Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, United Kingdom.
| | - Eleanor S Smith
- Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, United Kingdom
| | - Rebecca P Lawson
- Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, United Kingdom
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Haaf R, Brandi ML, Albantakis L, Lahnakoski JM, Henco L, Schilbach L. Peripheral oxytocin levels are linked to hypothalamic gray matter volume in autistic adults: a cross-sectional secondary data analysis. Sci Rep 2024; 14:1380. [PMID: 38228703 PMCID: PMC10791615 DOI: 10.1038/s41598-023-50770-5] [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] [Received: 04/13/2023] [Accepted: 12/25/2023] [Indexed: 01/18/2024] Open
Abstract
Oxytocin (OXT) is known to modulate social behavior and cognition and has been discussed as pathophysiological and therapeutic factor for autism spectrum disorder (ASD). An accumulating body of evidence indicates the hypothalamus to be of particular importance with regard to the underlying neurobiology. Here we used a region of interest voxel-based morphometry (VBM) approach to investigate hypothalamic gray matter volume (GMV) in autistic (n = 29, age 36.03 ± 11.0) and non-autistic adults (n = 27, age 30.96 ± 11.2). Peripheral plasma OXT levels and the autism spectrum quotient (AQ) were used for correlation analyses. Results showed no differences in hypothalamic GMV in autistic compared to non-autistic adults but suggested a differential association between hypothalamic GMV and OXT levels, such that a positive association was found for the ASD group. In addition, hypothalamic GMV showed a positive association with autistic traits in the ASD group. Bearing in mind the limitations such as a relatively small sample size, a wide age range and a high rate of psychopharmacological treatment in the ASD sample, these results provide new preliminary evidence for a potentially important role of the HTH in ASD and its relationship to the OXT system, but also point towards the importance of interindividual differences.
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Affiliation(s)
- Raoul Haaf
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany.
- Graduate School, Technical University of Munich, Munich, Germany.
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
| | - Marie-Luise Brandi
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Laura Albantakis
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Outpatient and Day Clinic for Disorders of Social Interaction, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Munich, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Juha M Lahnakoski
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurosciences and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Lara Henco
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Graduate School of Systemic Neurosciences, Munich, Germany
| | - Leonhard Schilbach
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Outpatient and Day Clinic for Disorders of Social Interaction, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Munich, Germany
- Graduate School of Systemic Neurosciences, Munich, Germany
- Ludwig-Maximilians-Universität München, Munich, Germany
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6
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Neubauer J, Kaiser A, Hohmann S. [Gut Microbiota and Autism Spectrum Disorders: An Overview of Correlations and Potential Implications for Therapeutic Interventions]. ZEITSCHRIFT FUR KINDER- UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2023; 52:151-165. [PMID: 38098430 DOI: 10.1024/1422-4917/a000962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
Gut Microbiota and Autism Spectrum Disorders: An Overview of Correlations and Potential Implications for Therapeutic Interventions Abstract: At the beginning of research on microbiota, researchers focused mainly on the role of microbiota dysbiosis in the development of gastrointestinal diseases. However, over the last years, researchers have also identified correlations with other physical processes and neuropsychiatric diseases such as autism spectrum disorder. These correlations are believed to be at least partly mediated through the brain-gut-microbiome axis. An altered composition of microbiota in patients with autism spectrum disorder was detected compared to healthy controls. Today, the discussion centers around a possible systemic impact of the metabolites of some microbiota or microbiota-induced chronic inflammatory processes on the brain (mediated through the brain-gut-microbiome axis) as an underlying mechanism. Still, the specific underlying mechanisms remain largely unknown, so conclusions on therapeutic implications are difficult to determine. Here, we describe some promising approaches to improving autistic behavior through dietary changes, the use of prebiotics and probiotics, stool transplantation from healthy controls, and restricted absorbance of certain metabolites. We need further clinical studies of high quality to fully understand the pathophysiology of autism spectrum disorder and to improve diagnostic and therapeutic strategies.
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Affiliation(s)
- Johanna Neubauer
- Klinik für Kinder- und Jugendpsychiatrie, -psychiotherapie und -psychosomatik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Anna Kaiser
- Klinik für Kinder- und Jugendpsychiatrie, -psychiotherapie und -psychosomatik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
- Klinik für Psychiatrie und Psychotherapie des Kindes- und Jugendalters, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim, Deutschland
| | - Sarah Hohmann
- Klinik für Kinder- und Jugendpsychiatrie, -psychiotherapie und -psychosomatik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
- AG Neurophysiologie des Kindes- und Jugendalters, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim, Deutschland
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7
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Bedford SA, Lai MC, Lombardo MV, Chakrabarti B, Ruigrok A, Suckling J, Anagnostou E, Lerch JP, Taylor M, Nicolson R, Stelios G, Crosbie J, Schachar R, Kelley E, Jones J, Arnold PD, Courchesne E, Pierce K, Eyler LT, Campbell K, Barnes CC, Seidlitz J, Alexander-Bloch AF, Bullmore ET, Baron-Cohen S, Bethlehem RA. Brain-charting autism and attention deficit hyperactivity disorder reveals distinct and overlapping neurobiology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.06.23299587. [PMID: 38106166 PMCID: PMC10723556 DOI: 10.1101/2023.12.06.23299587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background Autism and attention deficit hyperactivity disorder (ADHD) are heterogeneous neurodevelopmental conditions with complex underlying neurobiology. Despite overlapping presentation and sex-biased prevalence, autism and ADHD are rarely studied together, and sex differences are often overlooked. Normative modelling provides a unified framework for studying age-specific and sex-specific divergences in neurodivergent brain development. Methods Here we use normative modelling and a large, multi-site neuroimaging dataset to characterise cortical anatomy associated with autism and ADHD, benchmarked against models of typical brain development based on a sample of over 75,000 individuals. We also examined sex and age differences, relationship with autistic traits, and explored the co-occurrence of autism and ADHD (autism+ADHD). Results We observed robust neuroanatomical signatures of both autism and ADHD. Overall, autistic individuals showed greater cortical thickness and volume localised to the superior temporal cortex, whereas individuals with ADHD showed more global effects of cortical thickness increases but lower cortical volume and surface area across much of the cortex. The autism+ADHD group displayed a unique pattern of widespread increases in cortical thickness, and certain decreases in surface area. We also found evidence that sex modulates the neuroanatomy of autism but not ADHD, and an age-by-diagnosis interaction for ADHD only. Conclusions These results indicate distinct cortical differences in autism and ADHD that are differentially impacted by age, sex, and potentially unique patterns related to their co-occurrence.
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Affiliation(s)
- Saashi A. Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Meng-Chuan Lai
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
- Department of Psychiatry, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei 100229, Taiwan
| | - Michael V. Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Bhismadev Chakrabarti
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ES, UK
| | - Amber Ruigrok
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester
| | - John Suckling
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Jason P. Lerch
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
| | - Margot Taylor
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Rob Nicolson
- Department of Psychiatry, University of Western Ontario, London, Ontario, Canada
| | | | - Jennifer Crosbie
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Russell Schachar
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elizabeth Kelley
- Department of Psychology, Queen’s University, Kingston, ON K7L 3N6 Canada
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON K7L 3N6 Canada
- Department of Psychiatry, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - Jessica Jones
- Department of Psychology, Queen’s University, Kingston, ON K7L 3N6 Canada
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON K7L 3N6 Canada
- Department of Psychiatry, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - Paul D. Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Departments of Psychiatry and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Eric Courchesne
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Karen Pierce
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Lisa T. Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Kathleen Campbell
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Cynthia Carter Barnes
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Aaron F. Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Edward T. Bullmore
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Cambridge Lifetime Autism Spectrum Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Richard A.I. Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
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8
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Baris RO, Sahin N, Bilgic AD, Ozdemir C, Edgunlu TG. Molecular and in silico analyses of SYN III gene variants in autism spectrum disorder. Ir J Med Sci 2023; 192:2887-2895. [PMID: 37166614 DOI: 10.1007/s11845-023-03402-w] [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] [Received: 01/18/2023] [Accepted: 05/04/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Defects in neurotransmission and synaptogenesis are noteworthy in the pathogenesis of ASD. Synapsin III (SYN III) is defined as a synaptic vesicle protein that plays an important role in synaptogenesis and regulation of neurotransmitter release and neurite outgrowth. Therefore, SYN III may associate with many neurodevelopmental diseases, including ASD. AIM The aim of this study was to investigate whether the SYN III gene -631 C > G (rs133946) and -196 G > A (rs133945) polymorphisms are associated with susceptibility to ASD. METHODS SYN III variants and the risk of ASD were investigated in 26 healthy children and 24 ASD children. SYN III gene variants were genotyped by PCR-RFLP methods. The differences in genotype and allele frequencies between the ASD and control groups were calculated using the chi-square (χ2). We analysed the SYN III gene using web-based tools. RESULTS Our results suggest that the presence of the AA genotype of the SYN III -196 G > A (rs133945) polymorphism affects the characteristics and development of ASD in children (p = 0.012). SYN III -631 C > G (rs133946) polymorphism was not associated with ASD (p = 0.524). We have shown the prediction of gene-gene interaction that SYN III is co-expressed with 17 genes, physical interaction with 3 genes, and co-localization with 12 genes. The importance of different genes (SYN I, II, III, GABRD, NOS1AP, GNAO1) for ASD pathogenesis was revealed by GO analysis. CONCLUSION Considering the role of SYN III and related genes, especially in the synaptic vesicle pathway and neurotransmission, its effect on ASD can be further investigated.
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Affiliation(s)
- Remzi Oguz Baris
- Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey
| | - Nilfer Sahin
- Department of Child and Adolescent Mental Health Diseases School of Medicine, Muğla Sıtkı Koçman University, Mugla, Turkey
| | - Ayşegül Demirtas Bilgic
- Department of Medical Biology, Health Sciences Institution, Muğla Sıtkı Koçman University, Mugla, Turkey
| | - Cilem Ozdemir
- Department of Medical Biology, Health Sciences Institution, Muğla Sıtkı Koçman University, Mugla, Turkey.
| | - Tuba Gokdogan Edgunlu
- Department of Medical Biology, School of Medicine, Muğla Sıtkı Koçman University, Mugla, 48000, Turkey
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9
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Perna J, Bellato A, Ganapathy PS, Solmi M, Zampieri A, Faraone SV, Cortese S. Association between Autism Spectrum Disorder (ASD) and vision problems. A systematic review and meta-analysis. Mol Psychiatry 2023; 28:5011-5023. [PMID: 37495888 DOI: 10.1038/s41380-023-02143-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/15/2023] [Accepted: 06/16/2023] [Indexed: 07/28/2023]
Abstract
AIM To conduct a systematic review and meta-analysis assessing whether vision and/or eye disorders are associated with Autism Spectrum Disorder (ASD). METHOD Based on a pre-registered protocol (PROSPERO: CRD42022328485), we searched PubMed, Web of Knowledge/Science, Ovid Medline, Embase and APA PsycINFO up to 5th February 2022, with no language/type of document restrictions. We included observational studies 1) reporting at least one measure of vision in people of any age with a diagnosis of ASD based on DSM or ICD criteria, or ADOS; or 2) reporting the prevalence of ASD in people with and without vision disorders. Study quality was assessed with the Appraisal tool for Cross-Sectional Studies (AXIS). Random-effects meta-analyses were used for data synthesis. RESULTS We included 49 studies in the narrative synthesis and 46 studies in the meta-analyses (15,629,159 individuals distributed across multiple different measures). We found meta-analytic evidence of increased prevalence of strabismus (OR = 4.72 [95% CI: 4.60, 4.85]) in people with versus those without ASD (non-significant heterogeneity: Q = 1.0545, p = 0.7881). We also found evidence of increased accommodation deficits (Hedge's g = 0.68 [CI: 0.28, 1.08]) (non-significant heterogeneity: Q = 6.9331, p = 0.0741), reduced peripheral vision (-0.82 [CI: -1.32, -0.33]) (non-significant heterogeneity: Q = 4.8075, p = 0.4398), reduced stereoacuity (0.73 [CI: -1.14, -0.31]) (non-significant heterogeneity: Q = 0.8974, p = 0.3435), increased color discrimination difficulties (0.69 [CI: 0.27,1.10]) (non-significant heterogeneity: Q = 9.9928, p = 0.1890), reduced contrast sensitivity (0.45 [CI: -0.60, -0.30]) (non-significant heterogeneity: Q = 9.9928, p = 0.1890) and increased retinal thickness (=0.29 [CI: 0.07, 0.51]) (non-significant heterogeneity: Q = 0.8113, p = 0.9918) in ASD. DISCUSSION ASD is associated with some self-reported and objectively measured functional vision problems, and structural alterations of the eye, even though we observed several methodological limitations in the individual studies included in our meta-analyses. Further research should clarify the causal relationship, if any, between ASD and problems of vision during early life. PROSPERO REGISTRATION CRD42022328485.
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Affiliation(s)
- John Perna
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Alessio Bellato
- School of Psychology, University of Nottingham Malaysia, Selangor, Malaysia
| | - Preethi S Ganapathy
- Department of Ophthalmology & Visual Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Andrea Zampieri
- Vittorio Emanuele III Hospital - Montecchio Maggiore, Vicenza, Italy
| | - Stephen V Faraone
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, USA
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
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10
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Razzak R, Li J, He S, Sokhadze E. Investigating Sex-Based Neural Differences in Autism and Their Extended Reality Intervention Implications. Brain Sci 2023; 13:1571. [PMID: 38002531 PMCID: PMC10670246 DOI: 10.3390/brainsci13111571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/27/2023] [Accepted: 11/02/2023] [Indexed: 11/26/2023] Open
Abstract
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, and there is growing interest in the use of extended reality (XR) technologies for intervention. Despite the promising potential of XR interventions, there remain gaps in our understanding of the neurobiological mechanisms underlying ASD, particularly in relation to sex-based differences. This scoping review synthesizes the current research on brain activity patterns in ASD, emphasizing the implications for XR interventions and neurofeedback therapy. We examine the brain regions commonly affected by ASD, the potential benefits and drawbacks of XR technologies, and the implications of sex-specific differences for designing effective interventions. Our findings underscore the need for ongoing research into the neurobiological underpinnings of ASD and sex-based differences, as well as the importance of developing tailored interventions that consider the unique needs and experiences of autistic individuals.
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Affiliation(s)
- Rehma Razzak
- Department of Computer Science, Kennesaw State University, Marietta, GA 30060, USA; (R.R.); (S.H.)
| | - Joy Li
- Department of Software Engineering and Game Development, Kennesaw State University, Marietta, GA 30060, USA;
| | - Selena He
- Department of Computer Science, Kennesaw State University, Marietta, GA 30060, USA; (R.R.); (S.H.)
| | - Estate Sokhadze
- Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA
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11
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Tamayo JM, Osman HC, Schwartzer JJ, Pinkerton KE, Ashwood P. Characterizing the neuroimmune environment of offspring in a novel model of maternal allergic asthma and particulate matter exposure. J Neuroinflammation 2023; 20:252. [PMID: 37919762 PMCID: PMC10621097 DOI: 10.1186/s12974-023-02930-7] [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] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/12/2023] [Indexed: 11/04/2023] Open
Abstract
Inflammation during pregnancy is associated with an increased risk for neurodevelopmental disorders (NDD). Increased gestational inflammation can be a result of an immune condition/disease, exposure to infection, and/or environmental factors. Epidemiology studies suggest that cases of NDD are on the rise. Similarly, rates of asthma are increasing, and the presence of maternal asthma during pregnancy increases the likelihood of a child being later diagnosed with NDD such as autism spectrum disorders (ASD). Particulate matter (PM), via air pollution, is an environmental factor known to worsen the symptoms of asthma, but also, PM has been associated with increased risk of neuropsychiatric disorders. Despite the links between asthma and PM with neuropsychiatric disorders, there is a lack of laboratory models investigating combined prenatal exposure to asthma and PM on offspring neurodevelopment. Thus, we developed a novel mouse model that combines exposure to maternal allergic asthma (MAA) and ultrafine iron-soot (UIS), a common component of PM. In the current study, female BALB/c mice were sensitized for allergic asthma with ovalbumin (OVA) prior to pregnancy. Following mating and beginning on gestational day 2 (GD2), dams were exposed to either aerosolized OVA to induce allergic asthma or phosphate buffered saline (PBS) for 1 h. Following the 1-h exposure, pregnant females were then exposed to UIS with a size distribution of 55 to 169 nm at an average concentration of 176 ± 45 μg/m3) (SD), or clean air for 4 h, over 8 exposure sessions. Offspring brains were collected at postnatal days (P)15 and (P)35. Cortices and hippocampal regions were then isolated and assessed for changes in cytokines using a Luminex bead-based multiplex assay. Analyses identified changes in many cytokines across treatment groups at both timepoints in the cortex, including interleukin-1 beta (IL-1β), and IL-17, which remained elevated from P15 to P35 in all treatment conditions compared to controls. There was a suppressive effect of the combined MAA plus UIS on the anti-inflammatory cytokine IL-10. Potentially shifting the cytokine balance towards more neuroinflammation. In the hippocampus at P15, elevations in cytokines were also identified across the treatment groups, namely IL-7. The combination of MAA and UIS exposure (MAA-UIS) during pregnancy resulted in an increase in microglia density in the hippocampus of offspring, as identified by IBA-1 staining. Together, these data indicate that exposure to MAA, UIS, and MAA-UIS result in changes in the neuroimmune environment of offspring that persist into adulthood.
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Affiliation(s)
- Juan M Tamayo
- Department of Medical Microbiology and Immunology, and the M.I.N.D. Institute, University of California at Davis, 2805, 50th Street Sacramento, Davis, CA, 95817, USA
| | - Hadley C Osman
- Department of Medical Microbiology and Immunology, and the M.I.N.D. Institute, University of California at Davis, 2805, 50th Street Sacramento, Davis, CA, 95817, USA
| | - Jared J Schwartzer
- Program in Neuroscience and Behavior, Department of Psychology and Education, Mount Holyoke College, 50 College Street, South Hadley, MA, 01075, USA
| | - Kent E Pinkerton
- Center for Health and the Environment, University of California at Davis, Davis, CA, 95616, USA
| | - Paul Ashwood
- Department of Medical Microbiology and Immunology, and the M.I.N.D. Institute, University of California at Davis, 2805, 50th Street Sacramento, Davis, CA, 95817, USA.
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12
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Berg LM, Gurr C, Leyhausen J, Seelemeyer H, Bletsch A, Schaefer T, Pretzsch CM, Oakley B, Loth E, Floris DL, Buitelaar JK, Beckmann CF, Banaschewski T, Charman T, Jones EJH, Tillmann J, Chatham CH, Bourgeron T, Murphy DG, Ecker C. The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings. Mol Autism 2023; 14:36. [PMID: 37794485 PMCID: PMC10552404 DOI: 10.1186/s13229-023-00568-z] [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] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Autism spectrum disorders (ASD) are neurodevelopmental conditions accompanied by differences in brain development. Neuroanatomical differences in autism are variable across individuals and likely underpin distinct clinical phenotypes. To parse heterogeneity, it is essential to establish how the neurobiology of ASD is modulated by differences associated with co-occurring conditions, such as attention-deficit/hyperactivity disorder (ADHD). This study aimed to (1) investigate between-group differences in autistic individuals with and without co-occurring ADHD, and to (2) link these variances to putative genomic underpinnings. METHODS We examined differences in cortical thickness (CT) and surface area (SA) and their genomic associations in a sample of 533 individuals from the Longitudinal European Autism Project. Using a general linear model including main effects of autism and ADHD, and an ASD-by-ADHD interaction, we examined to which degree ADHD modulates the autism-related neuroanatomy. Further, leveraging the spatial gene expression data of the Allen Human Brain Atlas, we identified genes whose spatial expression patterns resemble our neuroimaging findings. RESULTS In addition to significant main effects for ASD and ADHD in fronto-temporal, limbic, and occipital regions, we observed a significant ASD-by-ADHD interaction in the left precentral gyrus and the right frontal gyrus for measures of CT and SA, respectively. Moreover, individuals with ASD + ADHD differed in CT to those without. Both main effects and the interaction were enriched for ASD-but not for ADHD-related genes. LIMITATIONS Although we employed a multicenter design to overcome single-site recruitment limitations, our sample size of N = 25 individuals in the ADHD only group is relatively small compared to the other subgroups, which limits the generalizability of the results. Also, we assigned subjects into ADHD positive groupings according to the DSM-5 rating scale. While this is sufficient for obtaining a research diagnosis of ADHD, our approach did not take into account for how long the symptoms have been present, which is typically considered when assessing ADHD in the clinical setting. CONCLUSION Thus, our findings suggest that the neuroanatomy of ASD is significantly modulated by ADHD, and that autistic individuals with co-occurring ADHD may have specific neuroanatomical underpinnings potentially mediated by atypical gene expression.
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Affiliation(s)
- Lisa M Berg
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany.
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany.
- Department of Biosciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Johanna Leyhausen
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
- Department of Biosciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Tim Schaefer
- Fries Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, 60528, Frankfurt, Germany
| | - Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London, WC1E 7JL, UK
| | - Julian Tillmann
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Chris H Chatham
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions Unit, Institut Pasteur, Paris, France
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
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13
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Bedford SA, Ortiz-Rosa A, Schabdach JM, Costantino M, Tullo S, Piercy T, Lai MC, Lombardo MV, Di Martino A, Devenyi GA, Chakravarty MM, Alexander-Bloch AF, Seidlitz J, Baron-Cohen S, Bethlehem RA. The impact of quality control on cortical morphometry comparisons in autism. IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.) 2023; 1:1-21. [PMID: 38495338 PMCID: PMC10938341 DOI: 10.1162/imag_a_00022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 08/11/2023] [Accepted: 09/13/2023] [Indexed: 03/19/2024]
Abstract
Structural magnetic resonance imaging (MRI) quality is known to impact and bias neuroanatomical estimates and downstream analysis, including case-control comparisons, and a growing body of work has demonstrated the importance of careful quality control (QC) and evaluated the impact of image and image-processing quality. However, the growing size of typical neuroimaging datasets presents an additional challenge to QC, which is typically extremely time and labour intensive. One of the most important aspects of MRI quality is the accuracy of processed outputs, which have been shown to impact estimated neurodevelopmental trajectories. Here, we evaluate whether the quality of surface reconstructions by FreeSurfer (one of the most widely used MRI processing pipelines) interacts with clinical and demographic factors. We present a tool, FSQC, that enables quick and efficient yet thorough assessment of outputs of the FreeSurfer processing pipeline. We validate our method against other existing QC metrics, including the automated FreeSurfer Euler number, two other manual ratings of raw image quality, and two popular automated QC methods. We show strikingly similar spatial patterns in the relationship between each QC measure and cortical thickness; relationships for cortical volume and surface area are largely consistent across metrics, though with some notable differences. We next demonstrate that thresholding by QC score attenuates but does not eliminate the impact of quality on cortical estimates. Finally, we explore different ways of controlling for quality when examining differences between autistic individuals and neurotypical controls in the Autism Brain Imaging Data Exchange (ABIDE) dataset, demonstrating that inadequate control for quality can alter results of case-control comparisons.
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Affiliation(s)
- Saashi A. Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Alfredo Ortiz-Rosa
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, United States
| | - Jenna M. Schabdach
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, United States
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Manuela Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada
| | - Stephanie Tullo
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Canada
| | - Tom Piercy
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | | | - Meng-Chuan Lai
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
- Department of Psychiatry and Autism Research Unit, The Hospital for Sick Children, Toronto, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Michael V. Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | | | - Gabriel A. Devenyi
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - M. Mallar Chakravarty
- Integrated Program in Neuroscience, McGill University, Montreal, Canada
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry, McGill University, Montreal, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Aaron F. Alexander-Bloch
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, United States
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Jakob Seidlitz
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, United States
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough, United Kingdom
| | - Richard A.I. Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
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14
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Soylu F, May K, Kana R. White and gray matter correlates of theory of mind in autism: a voxel-based morphometry study. Brain Struct Funct 2023; 228:1671-1689. [PMID: 37452864 DOI: 10.1007/s00429-023-02680-5] [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: 06/07/2022] [Accepted: 07/02/2023] [Indexed: 07/18/2023]
Abstract
Autism spectrum disorder (ASD) is characterized by difficulties in theory of mind (ToM) and social communication. Studying structural and functional correlates of ToM in the brain and how autistic and nonautistic groups differ in terms of these correlates can help with diagnosis and understanding the biological mechanisms of ASD. In this study, we investigated white matter volume (WMV) and gray matter volume (GMV) differences between matching autistic and nonautistic samples, and how these structural features relate to age and ToM skills, indexed by the Reading the Mind in the Eyes (RMIE) measure. The results showed widespread GMV and WMV differences between the two groups in regions crucial for social processes. The autistic group did not express the typically observed negative GMV and positive WMV correlations with age at the same level as the nonautistic group, pointing to abnormalities in developmental structural changes. In addition, we found differences between the two groups in how GMV relates to ToM, particularly in the left frontal regions, and how WMV relates to ToM, mostly in the cingulate and corpus callosum. Finally, GMV in the left insula, a region that is part of the salience network, was found to be crucial in distinguishing ToM performance between the two groups.
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Affiliation(s)
- Firat Soylu
- Educational Psychology Program, The University of Alabama, Tuscaloosa, USA.
| | - Kaitlyn May
- Educational Psychology Program, The University of Alabama, Tuscaloosa, USA
| | - Rajesh Kana
- Department of Psychology, & the Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, USA
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15
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Tilwani D, Bradshaw J, Sheth A, O'Reilly C. ECG Recordings as Predictors of Very Early Autism Likelihood: A Machine Learning Approach. Bioengineering (Basel) 2023; 10:827. [PMID: 37508854 PMCID: PMC10376813 DOI: 10.3390/bioengineering10070827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/22/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
In recent years, there has been a rise in the prevalence of autism spectrum disorder (ASD). The diagnosis of ASD requires behavioral observation and standardized testing completed by highly trained experts. Early intervention for ASD can begin as early as 1-2 years of age, but ASD diagnoses are not typically made until ages 2-5 years, thus delaying the start of intervention. There is an urgent need for non-invasive biomarkers to detect ASD in infancy. While previous research using physiological recordings has focused on brain-based biomarkers of ASD, this study investigated the potential of electrocardiogram (ECG) recordings as an ASD biomarker in 3-6-month-old infants. We recorded the heart activity of infants at typical and elevated familial likelihood for ASD during naturalistic interactions with objects and caregivers. After obtaining the ECG signals, features such as heart rate variability (HRV) and sympathetic and parasympathetic activities were extracted. Then we evaluated the effectiveness of multiple machine learning classifiers for classifying ASD likelihood. Our findings support our hypothesis that infant ECG signals contain important information about ASD familial likelihood. Amongthe various machine learning algorithms tested, KNN performed best according to sensitivity (0.70 ± 0.117), F1-score (0.689 ± 0.124), precision (0.717 ± 0.128), accuracy (0.70 ± 0.117, p-value = 0.02), and ROC (0.686 ± 0.122, p-value = 0.06). These results suggest that ECG signals contain relevant information about the likelihood of an infant developing ASD. Future studies should consider the potential of information contained in ECG, and other indices of autonomic control, for the development of biomarkers of ASD in infancy.
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Affiliation(s)
- Deepa Tilwani
- Artificial Intelligence Institute, University of South Carolina, Columbia, SC 29208, USA
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
- Carolina Autism and Neurodevelopment Research Center, University of South Carolina, Columbia, SC 29208, USA
- Institute for Mind and Brain, University of South Carolina, Columbia, SC 29208, USA
| | - Jessica Bradshaw
- Carolina Autism and Neurodevelopment Research Center, University of South Carolina, Columbia, SC 29208, USA
- Institute for Mind and Brain, University of South Carolina, Columbia, SC 29208, USA
- Department of Psychology, University of South Carolina, Columbia, SC 29208, USA
| | - Amit Sheth
- Artificial Intelligence Institute, University of South Carolina, Columbia, SC 29208, USA
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
| | - Christian O'Reilly
- Artificial Intelligence Institute, University of South Carolina, Columbia, SC 29208, USA
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
- Carolina Autism and Neurodevelopment Research Center, University of South Carolina, Columbia, SC 29208, USA
- Institute for Mind and Brain, University of South Carolina, Columbia, SC 29208, USA
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16
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Tamayo JM, Osman HC, Schwartzer JJ, Pinkerton K, Ashwood P. Characterizing the Neuroimmune Environment of Offspring in a Novel Model of Maternal Allergic Asthma and Particulate Matter Exposure. RESEARCH SQUARE 2023:rs.3.rs-3140415. [PMID: 37503062 PMCID: PMC10371118 DOI: 10.21203/rs.3.rs-3140415/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by the presence of decreased social interactions and an increase in stereotyped and repetitive behaviors. Epidemiology studies suggest that cases of ASD are on the rise. Similarly, rates of asthma are increasing, and the presence of maternal asthma during pregnancy increases the likelihood of a child being later diagnosed with ASD. Particulate matter (PM), via air pollution, is an environmental factor known to worsen the symptoms of asthma, but also, PM has been associated with increased risk of neuropsychiatric disorders including ASD. Despite the links between asthma and PM with neuropsychiatric disorders, there is a lack of laboratory models investigating combined prenatal exposure to asthma and PM on offspring neurodevelopment. Thus, we developed a novel mouse model that combines exposure to maternal allergic asthma (MAA) and ultrafine iron-soot (UIS), a common component of PM. In the current study, female BALB/c mice were primed for allergic asthma with ovalbumin (OVA) prior to pregnancy. Following mating and beginning on gestational day 2 (GD2), dams were exposed to either aerosolized OVA or phosphate buffered saline (PBS) for 1 hour. Following the 1-hour exposure, pregnant females were then exposed to UIS or clean air for 4 hours. Offspring brains were collected at postnatal days (P)15 and (P)35. Cortices and hippocampal regions were then isolated and assessed for changes in cytokines using a Luminex bead-based multiplex assay. Analyses identified changes in many cytokines across treatment groups at both timepoints in the cortex, including interleukin-1 beta (IL-1β), IL-2, IL-13, and IL-17, which remained elevated from P15 to P35 in all treatment conditions compared to controls. In the hippocampus at P15, elevations in cytokines were also identified across the treatment groups, namely interferon gamma (IFNγ) and IL-7. The combination of MAA and UIS exposure (MAA-UIS) during pregnancy resulted in an increase in microglia density in the hippocampus of offspring, as identified by IBA-1 staining. Together, these data indicate that exposure to MAA, UIS, and MAA-UIS result in changes in the neuroimmune environment of offspring that persist into adulthood.
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Arutiunian V, Davydova E, Pereverzeva D, Sorokin A, Tyushkevich S, Mamokhina U, Danilina K, Dragoy O. Reduced grey matter volume of amygdala and hippocampus is associated with the severity of autistic symptoms and language abilities in school-aged children with Autism Spectrum Disorder: an exploratory study. Brain Struct Funct 2023; 228:1573-1579. [PMID: 37302090 DOI: 10.1007/s00429-023-02660-9] [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: 04/07/2023] [Accepted: 05/29/2023] [Indexed: 06/13/2023]
Abstract
The core symptoms of Autism Spectrum Disorder (ASD) are impairments in social interaction/communication and the presence of stereotyped and repetitive behaviour. The amygdala and hippocampus are involved in core functions in the "social brain" and, thus, may be of particular interest in ASD. Previous studies demonstrated inconsistent results, revealing both increased and reduced volume of these brain structures in individuals with ASD. In this study, we investigated the grey and white matter volumes of amygdala and hippocampus in primary-school-aged children with and without ASD. Also, we assessed the relationships between the volume of brain structures and behavioural measures in children with ASD. A total of 36 children participated in the study: 18 children with ASD (13 boys, age range 8.01-14.01 years, mean age (Mage) = 10.02, standard deviation (SD) = 1.76) and 18 age- and sex-matched typically developing controls (13 boys, age range 7.06-12.03 years, Mage = 10.00, SD = 1.38). The whole-brain structural magnetic resonance imaging (MRI) was applied to acquire T1 images for each child. The results showed a bilateral reduction in grey matter volume of amygdala and hippocampus in children with ASD, but no difference was found in white matter volume. Importantly, pathological reduction in grey matter volume of amygdala was associated with lower language skills and more severe autistic traits; also, a reduced grey matter volume of the left hippocampus was related to lower language skills in the ASD group.
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Affiliation(s)
- Vardan Arutiunian
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA.
| | - Elizaveta Davydova
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
- Chair of Differential Psychology and Psychophysiology, Moscow State University of Psychology and Education, Moscow, Russia
| | - Darya Pereverzeva
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Alexander Sorokin
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
- Haskins Laboratories, New Haven, CT, USA
| | - Svetlana Tyushkevich
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Uliana Mamokhina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Kamilla Danilina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
- Scientific Research and Practical Center of Pediatric Psychoneurology, Moscow, Russia
| | - Olga Dragoy
- Center for Language and Brain, HSE University, Moscow, Russia
- Institute of Linguistics, Russian Academy of Sciences, Moscow, Russia
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18
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Pretzsch CM, Ecker C. Structural neuroimaging phenotypes and associated molecular and genomic underpinnings in autism: a review. Front Neurosci 2023; 17:1172779. [PMID: 37457001 PMCID: PMC10347684 DOI: 10.3389/fnins.2023.1172779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023] Open
Abstract
Autism has been associated with differences in the developmental trajectories of multiple neuroanatomical features, including cortical thickness, surface area, cortical volume, measures of gyrification, and the gray-white matter tissue contrast. These neuroimaging features have been proposed as intermediate phenotypes on the gradient from genomic variation to behavioral symptoms. Hence, examining what these proxy markers represent, i.e., disentangling their associated molecular and genomic underpinnings, could provide crucial insights into the etiology and pathophysiology of autism. In line with this, an increasing number of studies are exploring the association between neuroanatomical, cellular/molecular, and (epi)genetic variation in autism, both indirectly and directly in vivo and across age. In this review, we aim to summarize the existing literature in autism (and neurotypicals) to chart a putative pathway from (i) imaging-derived neuroanatomical cortical phenotypes to (ii) underlying (neuropathological) biological processes, and (iii) associated genomic variation.
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Affiliation(s)
- Charlotte M. Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
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19
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Chen J, Wei Z, Xu C, Peng Z, Yang J, Wan G, Chen B, Gong J, Zhou K. Social visual preference mediates the effect of cortical thickness on symptom severity in children with autism spectrum disorder. Front Psychiatry 2023; 14:1132284. [PMID: 37398604 PMCID: PMC10311909 DOI: 10.3389/fpsyt.2023.1132284] [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: 12/27/2022] [Accepted: 05/29/2023] [Indexed: 07/04/2023] Open
Abstract
Background Evidence suggests that there is a robust relationship between altered neuroanatomy and autistic symptoms in individuals with autism spectrum disorder (ASD). Social visual preference, which is regulated by specific brain regions, is also related to symptom severity. However, there were a few studies explored the potential relationships among brain structure, symptom severity, and social visual preference. Methods The current study investigated relationships among brain structure, social visual preference, and symptom severity in 43 children with ASD and 26 typically developing (TD) children (aged 2-6 years). Results Significant differences were found in social visual preference and cortical morphometry between the two groups. Decreased percentage of fixation time in digital social images (%DSI) was negatively related to not only the thickness of the left fusiform gyrus (FG) and right insula, but also the Calibrated Severity Scores for the Autism Diagnostic Observation Schedule-Social Affect (ADOS-SA-CSS). Mediation analysis showed that %DSI partially mediated the relationship between neuroanatomical alterations (specifically, thickness of the left FG and right insula) and symptom severity. Conclusion These findings offer initial evidence that atypical neuroanatomical alterations may not only result in direct effects on symptom severity but also lead to indirect effects on symptom severity through social visual preference. This finding enhances our understanding of the multiple neural mechanisms implicated in ASD.
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Affiliation(s)
- Jierong Chen
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China
| | - Chuangyong Xu
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Ziwen Peng
- Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Junjie Yang
- Department of Child Health Care, Luohu District Maternal and Child Health Care Hospital, Shenzhen, China
| | - Guobin Wan
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Bin Chen
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jianhua Gong
- Department of Child Health Care, Luohu District Maternal and Child Health Care Hospital, Shenzhen, China
| | - Keying Zhou
- Department of Pediatrics, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, China
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20
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Zhu Y, Xu L, Yu J. Classification of autism based on short-term spontaneous hemodynamic fluctuations using an adaptive graph neural network. J Neurosci Methods 2023:109901. [PMID: 37295750 DOI: 10.1016/j.jneumeth.2023.109901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 06/03/2023] [Accepted: 06/05/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Short-term spontaneous hemodynamic fluctuations were collected by the functional near-infrared spectroscopy (fNIRS) system to classify children with autism spectrum disorder (ASD) and typical development (TD), and to explore abnormalities in the left inferior frontal gyrus in ASD. METHODS Using the fNIRS data of 25 children with ASD and 22 children with TD, a graph neural network combined with the temporal convolution module and the graph convolution module was used, to extract the spatio-temporal features of the data and achieve accurate classification of ASD. RESULTS The graph neural network was used to obtain a good classification result in the left inferior frontal gyrus, with an accuracy of 97.1%, precision of 95.1%, and specificity of 93.4%. It was found that the 5th channel (which is located in BA 10) and the 8th channel (which is located in BA 47) in the left inferior frontal gyrus were closely correlated with ASD. COMPARISON WITH PREVIOUSLY USED METHOD(S) Compared with the previous deep learning model using the same input, the accuracy of our model has increased by up to 13%, and the correlation between channels in the left inferior frontal gyrus area with the best classification effect was explored through the graph neural network. CONCLUSION The adaptive graph neural network (AGNN) model may be able to mine more valuable information to distinguish ASD from TD and in addition, the left inferior frontal gyrus may have greater investigative value.
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Affiliation(s)
- Yifan Zhu
- School of Computer Engineering and Science, Shanghai University, Shanghai, China
| | - Lingyu Xu
- School of Computer Engineering and Science, Shanghai University, Shanghai, China; Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China.
| | - Jie Yu
- School of Computer Engineering and Science, Shanghai University, Shanghai, China.
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21
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Bosco P, Lancione M, Retico A, Nigri A, Aquino D, Baglio F, Carne I, Ferraro S, Giulietti G, Napolitano A, Palesi F, Pavone L, Savini G, Tagliavini F, Bruzzone MG, Gandini Wheeler-Kingshott CAM, Tosetti M, Biagi L. Quality assessment, variability and reproducibility of anatomical measurements derived from T1-weighted brain imaging: The RIN-Neuroimaging Network case study. Phys Med 2023; 110:102577. [PMID: 37126963 DOI: 10.1016/j.ejmp.2023.102577] [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: 07/11/2022] [Revised: 03/01/2023] [Accepted: 04/05/2023] [Indexed: 05/03/2023] Open
Abstract
Initiatives for the collection of harmonized MRI datasets are growing continuously, opening questions on the reliability of results obtained in multi-site contexts. Here we present the assessment of the brain anatomical variability of MRI-derived measurements obtained from T1-weighted images, acquired according to the Standard Operating Procedures, promoted by the RIN-Neuroimaging Network. A multicentric dataset composed of 77 brain T1w acquisitions of young healthy volunteers (mean age = 29.7 ± 5.0 years), collected in 15 sites with MRI scanners of three different vendors, was considered. Parallelly, a dataset of 7 "traveling" subjects, each undergoing three acquisitions with scanners from different vendors, was also used. Intra-site, intra-vendor, and inter-site variabilities were evaluated in terms of the percentage standard deviation of volumetric and cortical thickness measures. Image quality metrics such as contrast-to-noise and signal-to-noise ratio in gray and white matter were also assessed for all sites and vendors. The results showed a measured global variability that ranges from 11% to 19% for subcortical volumes and from 3% to 10% for cortical thicknesses. Univariate distributions of the normalized volumes of subcortical regions, as well as the distributions of the thickness of cortical parcels appeared to be significantly different among sites in 8 subcortical (out of 17) and 21 cortical (out of 68) regions of i nterest in the multicentric study. The Bland-Altman analysis on "traveling" brain measurements did not detect systematic scanner biases even though a multivariate classification approach was able to classify the scanner vendor from brain measures with an accuracy of 0.60 ± 0.14 (chance level 0.33).
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Affiliation(s)
- Paolo Bosco
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Marta Lancione
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Alessandra Retico
- Pisa Division, INFN - National Institute for Nuclear Physics, Pisa, Italy
| | - Anna Nigri
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Domenico Aquino
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | | | - Irene Carne
- Neuroradiology Unit, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy
| | - Stefania Ferraro
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Giovanni Giulietti
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; SAIMLAL Department, Sapienza University of Rome, Rome, Italy
| | - Antonio Napolitano
- Medical Physics, IRCCS Istituto Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Fulvia Palesi
- Neuroradiology Unit, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | | | - Giovanni Savini
- Neuroradiology Unit, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Fabrizio Tagliavini
- Scientific Direction, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Maria Grazia Bruzzone
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Claudia A M Gandini Wheeler-Kingshott
- Neuroradiology Unit, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square, Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Michela Tosetti
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, Pisa, Italy.
| | - Laura Biagi
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, Pisa, Italy
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22
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Sharkey RJ, Nickl-Jockschat T. The neurobiology of autism spectrum disorder as it relates to twice exceptionality. Neurobiol Learn Mem 2023; 200:107740. [PMID: 36894126 DOI: 10.1016/j.nlm.2023.107740] [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: 10/07/2021] [Revised: 01/24/2023] [Accepted: 03/01/2023] [Indexed: 03/09/2023]
Abstract
There is a long-standing association between exceptional cognitive abilities of various sorts and neuropsychiatric illness, but it has historically largely been investigated in an exploratory and non-systematic way. One group in which this association has been investigated with more rigor is in subjects who have been identified as twice exceptional; an educational term describing subjects who are both gifted and diagnosed with a neuropsychiatric disorder. This term covers multiple conditions, but is of specific interest in particular in the study of autism spectrum disorder. Recent findings have led to the development of a hypothesis that a certain degree of the neurobiology associated with autism might even be advantageous for individuals and could lead to high giftedness, while becoming disadvantageous, once a certain threshold is surpassed. In this model, the same neurobiological mechanisms confer an increasing advantage up to a certain threshold, but become pathological past that point. Twice-exceptional individuals would be exactly at the inflection point, being highly gifted, but also symptomatic at the same time. Here, we review how existing neuroimaging literature on autism spectrum disorder can inform research on twice exceptionality specifically. We propose to study key neural networks with a robust implication in ASD to identify the neurobiology underlying twice-exceptionality. A better understanding of the neural mechanisms of twice exceptionality should help to better understand resilience and vulnerability to neurodevelopmental disorders and to. further support affected individuals.
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Affiliation(s)
- Rachel J Sharkey
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA; Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Thomas Nickl-Jockschat
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA; Department of Psychiatry, University of Iowa, Iowa City, IA, USA; Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
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23
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Lockhart AK, Sharpley CF, Bitsika V. Mu Desynchronisation in Autistic Individuals: What We Know and What We Need to Know. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2023. [DOI: 10.1007/s40489-023-00354-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
AbstractAutism spectrum disorder (ASD) is a neurodevelopmental condition that includes social-communication deficits and repetitive and stereotypical behaviours (APA 2022). Neurobiological methods of studying ASD are a promising methodology for identifying ASD biomarkers. Mu rhythms (Mu) have the potential to shed light on the socialisation deficits that characterise ASD; however, Mu/ASD studies thus far have yielded inconsistent results. This review examines the existing Mu/ASD studies to determine where this variability lies to elucidate potential factors that can be addressed in future studies.
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Excitatory/inhibitory imbalance in autism: the role of glutamate and GABA gene-sets in symptoms and cortical brain structure. Transl Psychiatry 2023; 13:18. [PMID: 36681677 PMCID: PMC9867712 DOI: 10.1038/s41398-023-02317-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 12/22/2022] [Accepted: 01/10/2023] [Indexed: 01/22/2023] Open
Abstract
The excitatory/inhibitory (E/I) imbalance hypothesis posits that imbalance between excitatory (glutamatergic) and inhibitory (GABAergic) mechanisms underlies the behavioral characteristics of autism. However, how E/I imbalance arises and how it may differ across autism symptomatology and brain regions is not well understood. We used innovative analysis methods-combining competitive gene-set analysis and gene-expression profiles in relation to cortical thickness (CT) to investigate relationships between genetic variance, brain structure and autism symptomatology of participants from the AIMS-2-TRIALS LEAP cohort (autism = 359, male/female = 258/101; neurotypical control participants = 279, male/female = 178/101) aged 6-30 years. Using competitive gene-set analyses, we investigated whether aggregated genetic variation in glutamate and GABA gene-sets could be associated with behavioral measures of autism symptoms and brain structural variation. Further, using the same gene-sets, we corelated expression profiles throughout the cortex with differences in CT between autistic and neurotypical control participants, as well as in separate sensory subgroups. The glutamate gene-set was associated with all autism symptom severity scores on the Autism Diagnostic Observation Schedule-2 (ADOS-2) and the Autism Diagnostic Interview-Revised (ADI-R) within the autistic group. In adolescents and adults, brain regions with greater gene-expression of glutamate and GABA genes showed greater differences in CT between autistic and neurotypical control participants although in opposing directions. Additionally, the gene expression profiles were associated with CT profiles in separate sensory subgroups. Our results suggest complex relationships between E/I related genetics and autism symptom profiles as well as brain structure alterations, where there may be differential roles for glutamate and GABA.
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25
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Cai S, Guo Z, Wang X, Huang K, Yuan K, Huang L. Cortical thickness differences are associated with cellular component morphogenesis of astrocytes and excitatory neurons in nonsuicidal self-injuring youth. Cereb Cortex 2023; 33:811-822. [PMID: 35253859 DOI: 10.1093/cercor/bhac103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 02/03/2023] Open
Abstract
Nonsuicidal self-injury (NSSI) generally occurs in youth and probably progresses to suicide. An examination of cortical thickness differences (ΔCT) between NSSI individuals and controls is crucial to investigate potential neurobiological correlates. Notably, ΔCT are influenced by specific genetic factors, and a large proportion of cortical thinning is associated with the expression of genes that overlap in astrocytes and pyramidal cells. However, in NSSI youth, the mechanisms underlying the relations between the genetic and cell type-specific transcriptional signatures to ΔCT are unclear. Here, we studied the genetic association of ΔCT in NSSI youth by performing a partial least-squares regression (PLSR) analysis of gene expression data and 3D-T1 brain images of 45 NSSI youth and 75 controls. We extracted the top-10 Gene Ontology terms for the enrichment results of upregulated PLS component 1 genes related to ΔCT to conduct the cell-type classification and enrichment analysis. Enrichment of cell type-specific genes shows that cellular component morphogenesis of astrocytes and excitatory neurons accounts for the observed NSSI-specific ΔCT. We validated the main results in independent datasets to verify the robustness and specificity. We concluded that the brain ΔCT is associated with cellular component morphogenesis of astrocytes and excitatory neurons in NSSI youth.
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Affiliation(s)
- Suping Cai
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Zitong Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Xuwen Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Kexin Huang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.,School of Life Science andTechnology, Xidian University, Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi 710071, PR China.,Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, PR China.,Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, PR China
| | - Liyu Huang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
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26
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Floris DL, Peng H, Warrier V, Lombardo MV, Pretzsch CM, Moreau C, Tsompanidis A, Gong W, Mennes M, Llera A, van Rooij D, Oldehinkel M, Forde NJ, Charman T, Tillmann J, Banaschewski T, Moessnang C, Durston S, Holt RJ, Ecker C, Dell'Acqua F, Loth E, Bourgeron T, Murphy DGM, Marquand AF, Lai MC, Buitelaar JK, Baron-Cohen S, Beckmann CF. The Link Between Autism and Sex-Related Neuroanatomy, and Associated Cognition and Gene Expression. Am J Psychiatry 2023; 180:50-64. [PMID: 36415971 DOI: 10.1176/appi.ajp.20220194] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The male preponderance in prevalence of autism is among the most pronounced sex ratios across neurodevelopmental conditions. The authors sought to elucidate the relationship between autism and typical sex-differential neuroanatomy, cognition, and related gene expression. METHODS Using a novel deep learning framework trained to predict biological sex based on T1-weighted structural brain images, the authors compared sex prediction model performance across neurotypical and autistic males and females. Multiple large-scale data sets comprising T1-weighted MRI data were employed at four stages of the analysis pipeline: 1) pretraining, with the UK Biobank sample (>10,000 individuals); 2) transfer learning and validation, with the ABIDE data sets (1,412 individuals, 5-56 years of age); 3) test and discovery, with the EU-AIMS/AIMS-2-TRIALS LEAP data set (681 individuals, 6-30 years of age); and 4) specificity, with the NeuroIMAGE and ADHD200 data sets (887 individuals, 7-26 years of age). RESULTS Across both ABIDE and LEAP, features positively predictive of neurotypical males were on average significantly more predictive of autistic males (ABIDE: Cohen's d=0.48; LEAP: Cohen's d=1.34). Features positively predictive of neurotypical females were on average significantly less predictive of autistic females (ABIDE: Cohen's d=1.25; LEAP: Cohen's d=1.29). These differences in sex prediction accuracy in autism were not observed in individuals with ADHD. In autistic females, the male-shifted neurophenotype was further associated with poorer social sensitivity and emotional face processing while also associated with gene expression patterns of midgestational cell types. CONCLUSIONS The results demonstrate an increased resemblance in both autistic male and female individuals' neuroanatomy with male-characteristic patterns associated with typically sex-differential social cognitive features and related gene expression patterns. The findings hold promise for future research aimed at refining the quest for biological mechanisms underpinning the etiology of autism.
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Affiliation(s)
- Dorothea L Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Han Peng
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Varun Warrier
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Michael V Lombardo
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Charlotte M Pretzsch
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Clara Moreau
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Alex Tsompanidis
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Weikang Gong
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Maarten Mennes
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Alberto Llera
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Daan van Rooij
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Marianne Oldehinkel
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Natalie J Forde
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Tony Charman
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Julian Tillmann
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Tobias Banaschewski
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Carolin Moessnang
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Sarah Durston
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Rosemary J Holt
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Christine Ecker
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Flavio Dell'Acqua
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Eva Loth
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Thomas Bourgeron
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Declan G M Murphy
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Andre F Marquand
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Meng-Chuan Lai
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Jan K Buitelaar
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Simon Baron-Cohen
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Christian F Beckmann
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
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- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
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- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
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27
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Moraes ÍAP, Lima JA, Silva NM, Simcsik AO, Silveira AC, Menezes LDC, Araújo LV, Crocetta TB, Voos MC, Tonks J, Silva TD, Dawes H, Monteiro CBM. Effect of Longitudinal Practice in Real and Virtual Environments on Motor Performance, Physical Activity and Enjoyment in People with Autism Spectrum Disorder: A Prospective Randomized Crossover Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14668. [PMID: 36429386 PMCID: PMC9690405 DOI: 10.3390/ijerph192214668] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/05/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
(1) Background: People with ASD commonly present difficulty performing motor skills and a decline in physical activity (PA) level and low enjoyment of PA. We aimed to evaluate whether longitudinal practice of an activity in virtual and real environments improves motor performance and whether this improvement is transferred to a subsequent practice when changing the environment, promoting PA and providing enjoyment; (2) Methods: People with ASD, aged between 10 and 16 years, were included and distributed randomly into two opposite sequences. The participants performed a 10 session protocol, with five sessions practicing in each environment (virtual or real). Heart rate measurement was carried out and an enjoyment scale was applied; (3) Results: 22 participants concluded the protocol. Sequence A (virtual first) presented an improvement in accuracy and precision and transferred this when changing environment; they also had a greater change in heart rate reserve. The majority of participants reported "fun" and "great fun" levels for enjoyment; (4) Conclusions: The virtual reality activity presented a higher level of difficulty, with greater gains in terms of transference to the real environment. Considering PA, our task provided very light to light activity and the majority of participants enjoyed the task.
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Affiliation(s)
- Íbis A. P. Moraes
- Rehabilitation Sciences, Faculty of Medicine, University of São Paulo (FMUSP), São Paulo 01246-903, Brazil
- College of Medicine and Health, St Lukes Campus, University of Exeter, Exeter EX1 2LU, UK
| | - Joyce A. Lima
- Physical Activity Sciences, School of Arts, Science and Humanities, University of São Paulo (EACH-USP), São Paulo 03828-000, Brazil
| | - Nadja M. Silva
- Medicine (Cardiology), Escola Paulista de Medicina, Federal University of São Paulo (EPM/UNIFESP), São Paulo 04021-001, Brazil
| | - Amanda O. Simcsik
- Rehabilitation Sciences, Faculty of Medicine, University of São Paulo (FMUSP), São Paulo 01246-903, Brazil
| | - Ana C. Silveira
- Physical Activity Sciences, School of Arts, Science and Humanities, University of São Paulo (EACH-USP), São Paulo 03828-000, Brazil
| | - Lilian D. C. Menezes
- Medicine (Cardiology), Escola Paulista de Medicina, Federal University of São Paulo (EPM/UNIFESP), São Paulo 04021-001, Brazil
| | - Luciano V. Araújo
- Physical Activity Sciences, School of Arts, Science and Humanities, University of São Paulo (EACH-USP), São Paulo 03828-000, Brazil
| | - Tânia B. Crocetta
- Physical Activity Sciences, School of Arts, Science and Humanities, University of São Paulo (EACH-USP), São Paulo 03828-000, Brazil
| | - Mariana C. Voos
- Faculty of Humanities and Health Sciences, Pontifical Catholic University of São Paulo (PUC-SP), São Paulo 05014-901, Brazil
| | - James Tonks
- College of Medicine and Health, St Lukes Campus, University of Exeter, Exeter EX1 2LU, UK
| | - Talita D. Silva
- Rehabilitation Sciences, Faculty of Medicine, University of São Paulo (FMUSP), São Paulo 01246-903, Brazil
- Medicine (Cardiology), Escola Paulista de Medicina, Federal University of São Paulo (EPM/UNIFESP), São Paulo 04021-001, Brazil
- Faculty of Medicine, University City of São Paulo (UNICID), São Paulo 03071-000, Brazil
| | - Helen Dawes
- College of Medicine and Health, St Lukes Campus, University of Exeter, Exeter EX1 2LU, UK
- Department of Paediatrics, University of Oxford, Oxford OX3 9DU, UK
| | - Carlos B. M. Monteiro
- Rehabilitation Sciences, Faculty of Medicine, University of São Paulo (FMUSP), São Paulo 01246-903, Brazil
- Physical Activity Sciences, School of Arts, Science and Humanities, University of São Paulo (EACH-USP), São Paulo 03828-000, Brazil
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28
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Crunfli F, Carregari VC, Veras FP, Silva LS, Nogueira MH, Antunes ASLM, Vendramini PH, Valença AGF, Brandão-Teles C, Zuccoli GDS, Reis-de-Oliveira G, Silva-Costa LC, Saia-Cereda VM, Smith BJ, Codo AC, de Souza GF, Muraro SP, Parise PL, Toledo-Teixeira DA, Santos de Castro ÍM, Melo BM, Almeida GM, Firmino EMS, Paiva IM, Silva BMS, Guimarães RM, Mendes ND, Ludwig RL, Ruiz GP, Knittel TL, Davanzo GG, Gerhardt JA, Rodrigues PB, Forato J, Amorim MR, Brunetti NS, Martini MC, Benatti MN, Batah SS, Siyuan L, João RB, Aventurato ÍK, Rabelo de Brito M, Mendes MJ, da Costa BA, Alvim MKM, da Silva Júnior JR, Damião LL, de Sousa IMP, da Rocha ED, Gonçalves SM, Lopes da Silva LH, Bettini V, Campos BM, Ludwig G, Tavares LA, Pontelli MC, Viana RMM, Martins RB, Vieira AS, Alves-Filho JC, Arruda E, Podolsky-Gondim GG, Santos MV, Neder L, Damasio A, Rehen S, Vinolo MAR, Munhoz CD, Louzada-Junior P, Oliveira RD, Cunha FQ, Nakaya HI, Mauad T, Duarte-Neto AN, Ferraz da Silva LF, Dolhnikoff M, Saldiva PHN, Farias AS, Cendes F, Moraes-Vieira PMM, Fabro AT, Sebollela A, Proença-Modena JL, Yasuda CL, Mori MA, Cunha TM, Martins-de-Souza D. Morphological, cellular, and molecular basis of brain infection in COVID-19 patients. Proc Natl Acad Sci U S A 2022. [DOI: 10.1073/pnas.2200960119 1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
Abstract
Although increasing evidence confirms neuropsychiatric manifestations associated mainly with severe COVID-19 infection, long-term neuropsychiatric dysfunction (recently characterized as part of “long COVID-19” syndrome) has been frequently observed after mild infection. We show the spectrum of cerebral impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, ranging from long-term alterations in mildly infected individuals (orbitofrontal cortical atrophy, neurocognitive impairment, excessive fatigue and anxiety symptoms) to severe acute damage confirmed in brain tissue samples extracted from the orbitofrontal region (via endonasal transethmoidal access) from individuals who died of COVID-19. In an independent cohort of 26 individuals who died of COVID-19, we used histopathological signs of brain damage as a guide for possible SARS-CoV-2 brain infection and found that among the 5 individuals who exhibited those signs, all of them had genetic material of the virus in the brain. Brain tissue samples from these five patients also exhibited foci of SARS-CoV-2 infection and replication, particularly in astrocytes. Supporting the hypothesis of astrocyte infection, neural stem cell–derived human astrocytes in vitro are susceptible to SARS-CoV-2 infection through a noncanonical mechanism that involves spike–NRP1 interaction. SARS-CoV-2–infected astrocytes manifested changes in energy metabolism and in key proteins and metabolites used to fuel neurons, as well as in the biogenesis of neurotransmitters. Moreover, human astrocyte infection elicits a secretory phenotype that reduces neuronal viability. Our data support the model in which SARS-CoV-2 reaches the brain, infects astrocytes, and consequently, leads to neuronal death or dysfunction. These deregulated processes could contribute to the structural and functional alterations seen in the brains of COVID-19 patients.
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Affiliation(s)
- Fernanda Crunfli
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Victor C. Carregari
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Flavio P. Veras
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Lucas S. Silva
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Mateus Henrique Nogueira
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | | | - Pedro Henrique Vendramini
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | | | - Caroline Brandão-Teles
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Giuliana da Silva Zuccoli
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Guilherme Reis-de-Oliveira
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Lícia C. Silva-Costa
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Verônica Monteiro Saia-Cereda
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Bradley J. Smith
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Ana Campos Codo
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Gabriela F de Souza
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Stéfanie P. Muraro
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Pierina Lorencini Parise
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Daniel A. Toledo-Teixeira
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | | | - Bruno Marcel Melo
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Glaucia M. Almeida
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | | | - Isadora Marques Paiva
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | | | - Rafaela Mano Guimarães
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Niele D. Mendes
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Raíssa L. Ludwig
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Gabriel P. Ruiz
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Thiago L. Knittel
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Gustavo G. Davanzo
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Jaqueline Aline Gerhardt
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Patrícia Brito Rodrigues
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Julia Forato
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Mariene Ribeiro Amorim
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Natália S. Brunetti
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Matheus Cavalheiro Martini
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Maíra Nilson Benatti
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Sabrina S. Batah
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Li Siyuan
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Rafael B. João
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Ítalo K. Aventurato
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Mariana Rabelo de Brito
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Maria J. Mendes
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Beatriz A. da Costa
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Marina K. M. Alvim
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - José Roberto da Silva Júnior
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Lívia L. Damião
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Iêda Maria P. de Sousa
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Elessandra D. da Rocha
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Solange M. Gonçalves
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Luiz H. Lopes da Silva
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Vanessa Bettini
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Brunno M. Campos
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Guilherme Ludwig
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Lucas Alves Tavares
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | | | | | - Ronaldo B. Martins
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Andre Schwambach Vieira
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | | | - Eurico Arruda
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | | | - Marcelo Volpon Santos
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Luciano Neder
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - André Damasio
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Stevens Rehen
- D'Or Institute for Research and Education, 04502001, Brazil
- Institute of Biomedical Science, Federal University of Rio de Janeiro, Rio de Janeiro, 21941590, Brazil
| | - Marco Aurélio Ramirez Vinolo
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | | | - Paulo Louzada-Junior
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Renê Donizeti Oliveira
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Fernando Q. Cunha
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | | | - Thais Mauad
- University of São Paulo, São Paulo, 05508-220, Brazil
| | | | | | | | | | - Alessandro S. Farias
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Fernando Cendes
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Pedro Manoel M. Moraes-Vieira
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Alexandre T. Fabro
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Adriano Sebollela
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - José L. Proença-Modena
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Clarissa L. Yasuda
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Marcelo A. Mori
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
| | - Thiago M. Cunha
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, 14049900, Brazil
| | - Daniel Martins-de-Souza
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, 13083862, Brazil
- D'Or Institute for Research and Education, 04502001, Brazil
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Abstract
Although increasing evidence confirms neuropsychiatric manifestations associated mainly with severe COVID-19 infection, long-term neuropsychiatric dysfunction (recently characterized as part of "long COVID-19" syndrome) has been frequently observed after mild infection. We show the spectrum of cerebral impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, ranging from long-term alterations in mildly infected individuals (orbitofrontal cortical atrophy, neurocognitive impairment, excessive fatigue and anxiety symptoms) to severe acute damage confirmed in brain tissue samples extracted from the orbitofrontal region (via endonasal transethmoidal access) from individuals who died of COVID-19. In an independent cohort of 26 individuals who died of COVID-19, we used histopathological signs of brain damage as a guide for possible SARS-CoV-2 brain infection and found that among the 5 individuals who exhibited those signs, all of them had genetic material of the virus in the brain. Brain tissue samples from these five patients also exhibited foci of SARS-CoV-2 infection and replication, particularly in astrocytes. Supporting the hypothesis of astrocyte infection, neural stem cell-derived human astrocytes in vitro are susceptible to SARS-CoV-2 infection through a noncanonical mechanism that involves spike-NRP1 interaction. SARS-CoV-2-infected astrocytes manifested changes in energy metabolism and in key proteins and metabolites used to fuel neurons, as well as in the biogenesis of neurotransmitters. Moreover, human astrocyte infection elicits a secretory phenotype that reduces neuronal viability. Our data support the model in which SARS-CoV-2 reaches the brain, infects astrocytes, and consequently, leads to neuronal death or dysfunction. These deregulated processes could contribute to the structural and functional alterations seen in the brains of COVID-19 patients.
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Abstract
BACKGROUND Autism spectrum disorder (ASD; also known as autism) is a developmental disability that begins in childhood and is typically seen in around 1% to 2% of children. It is characterised by social communication difficulties and repetitive and restricted behaviours and routines that can have a negative impact on a child's quality of life, achievement at school, and social interactions with others. It has been hypothesised that memantine, which is traditionally used to treat dementia, may be effective in reducing the core symptoms of autism as well as some co-occurring symptoms such as hyperactivity and language difficulties. If memantine is being used to treat the core symptoms of autism, it is important to review the evidence of its effectiveness. OBJECTIVES To assess the effects of memantine on the core symptoms of autism, including, but not limited to, social communication and stereotypical behaviours. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, nine other databases and three trials registers up to February 2022. We also checked reference lists of key studies and checked with experts in the field for any additional papers. We searched for retractions of the included studies in MEDLINE, Embase, and the Retraction Watch Database. No retractions or corrections were found. SELECTION CRITERIA We included randomised controlled trials (RCTs) of any dose of memantine compared with placebo in autistic people. We also included RCTs in which only one group received memantine, but both groups received the same additional therapy (e.g. a behaviour intervention). DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our primary outcomes were core autism symptoms and adverse effects. Secondary outcomes were language, intelligence, memory, adaptive behaviour, hyperactivity, and irritability. We used GRADE to assess certainty of evidence. MAIN RESULTS We included three RCTs (two double-blind and one single-blind) with 204 participants that examined the short-term effect (immediately postintervention) of memantine in autistic people. Two studies took place in the USA and the other in Iran. All three studies focused on children and adolescents, with a mean age of 9.40 (standard deviation (SD) 2.26) years. Most participants were male (range across studies 73% to 87%). The diagnosis of ASD was based on the Diagnostic and Statistical Manual of Mental Disorders (4th edition; 4th edition, text revision; or 5th edition). To confirm the diagnosis, one study used the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview-Revised (ADI-R); one used ADOS, ADI-R or the Autism Diagnostic Interview Screener; and one used the Gilliam Autism Rating Scale. Dosage of memantine was based on the child's weight and ranged from 3 mg to 15 mg per day. Comparisons Two studies examined memantine compared with placebo; in the other study, both groups had a behavioural intervention while only one group was given memantine. Risk of bias All studies were rated at high risk of bias overall, as they were at high or unclear risk of bias across all but four domains in one study, and all but two domains in the other two studies. One study was funded by Forest Laboratories, LLC, (Jersey City, New Jersey), Allergan. The study sponsor was involved in the study design, data collection (via contracted clinical investigator sites), analysis and interpretation of data, and the decision to present these results. The other two studies reported no financial support or sponsorship; though in one of the two, the study medication was an in-kind contribution from Forest Pharmaceuticals. Primary outcomes There was no clear evidence of a difference between memantine and placebo with respect to severity of core symptoms of autism, although we are very uncertain about the evidence. The standardised mean difference in autism symptoms score in the intervention group versus the control group was -0.74 standard deviations (95% confidence interval (CI) -2.07 to 0.58; 2 studies, 181 participants; very low-certainty evidence; medium effect size); lower scores indicate less severe autistic symptoms. Two studies (144 participants) recorded adverse effects that the authors deemed related to the study and found there may be no difference between memantine and placebo (odds ratio (OR) 0.64, 95% CI 0.17 to 2.39; low-certainty evidence). Secondary outcomes There may be no difference between memantine and placebo on language (2 studies, 144 participants; low-certainty evidence); memory or adaptive behaviour (1 study, 23 participants; both low-certainty evidence); or hyperactivity or irritability (1 study, 121 participants; both low-certainty evidence). AUTHORS' CONCLUSIONS It is unclear whether memantine is an effective treatment for autistic children. None of the three included trials reported on the effectiveness of memantine in adults. Further studies using rigorous designs, larger samples, longer follow-up and clinically meaningful outcome measures that are important to autistic people and their families will strengthen our knowledge of the effects of memantine in autism.
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Affiliation(s)
- Amanda Brignell
- Department of Paediatrics, Monash University, Melbourne, Australia
- Developmental Paediatrics, Monash Children's Hospital, Melbourne, Australia
- Department of Speech Pathology, Australian Catholic University, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Australia
| | - Catherine Marraffa
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Neurodevelopment and Disability, The Royal Children's Hospital, Melbourne, Australia
| | - Katrina Williams
- Department of Paediatrics, Monash University, Melbourne, Australia
- Developmental Paediatrics, Monash Children's Hospital, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Tamara May
- Department of Paediatrics, Monash University, Melbourne, Australia
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Tofani M, Scarcella L, Galeoto G, Giovannone F, Sogos C. Behavioral gender differences across Pre-School Children with Autism Spectrum Disorders: a cross-sectional study. J Autism Dev Disord 2022:10.1007/s10803-022-05498-y. [PMID: 35290561 DOI: 10.1007/s10803-022-05498-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2022] [Indexed: 11/26/2022]
Abstract
There is increasing literature showing that the presentation of Autism Spectrum Disorder (ASD) could be different according to the sex of the patient. Through the analysis of the Autism Diagnostic Interview Revised interview results of a study group consisting of 56 preschool children diagnosed with ASD potential differences in the presentation of ASD were searched. Variables investigated were verbal abilities, the presence/absence of unusual sensory interests, as well as of echolalia. The results showed significant differences between gender in restricted and repetitive behavior (p < 0.01), in particular for those children who have no unusual sensory interest (p < 0.05) and with minimal verbal ability (p < 0.05). The findings contribute providing evidences on phenotypical differences in preschool children with a diagnosis of Autism Spectrum Disorder.
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Affiliation(s)
- Marco Tofani
- Department of Intensive Neurorehabilitation and Robotics, Bambino Gesù Children Hospital, IRCCS, Rome, Italy
| | - Lucia Scarcella
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giovanni Galeoto
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Carla Sogos
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
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Denier N, Steinberg G, van Elst LT, Bracht T. The role of head circumference and cerebral volumes to phenotype male adults with autism spectrum disorder. Brain Behav 2022; 12:e2460. [PMID: 35112511 PMCID: PMC8933748 DOI: 10.1002/brb3.2460] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/18/2021] [Accepted: 11/26/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) has been repeatedly associated with enlargements of head circumference in children with ASD. However, it is unclear if these enlargements persist into adulthood. This is the first study to investigate head circumference in a large sample of adults with ASD. METHODS We apply a fully automated magnetic resonance imaging (MRI) based measurement approach to compute head circumference by combining 3D and 2D image processing. Head circumference was compared between male adults with ASD (n = 120) and healthy male controls (n = 136), from the Autism Brain Imaging Data Exchange (ABIDE) database. To explain which brain alterations drive our results, secondary analyses were performed for 10 additional morphological brain metrics. RESULTS ASD subjects showed an increase in head circumference (p = .0018). In addition, ASD patients had increased ventricular surface area (SA) (p = .0013). Intracranial volume, subarachnoidal cerebrospinal fluid (CSF) volume, and gray matter volume explained 50% of head circumference variance. Using a linear support vector machine, we gained an ASD classification accuracy of 73% (sensitivity 92%, specificity 68%) using head circumference and brain-morphological metrics as input features. Head circumference, ventricular SA, ventricular CSF volume, and ventricular asymmetry index contributed to 85% of feature weighting relevant for classification. CONCLUSION Our results suggest that head circumference increases in males with ASD persist into adulthood. Results may be driven by morphological alterations of ventricular CSF. The presented approach for an automated head circumference measurement allows for the retrospective investigation of large MRI datasets in neuropsychiatric disorders.
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Affiliation(s)
- Niklaus Denier
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Gerrit Steinberg
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Ludger Tebartz van Elst
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Tobias Bracht
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning. Mol Autism 2022; 13:9. [PMID: 35197121 PMCID: PMC8867630 DOI: 10.1186/s13229-022-00489-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/10/2022] [Indexed: 11/14/2022] Open
Abstract
Background Clinical and etiological varieties remain major obstacles to decompose heterogeneity in autism spectrum disorders (ASD). Recently, neuroimaging raised new hope to identify neurosubtypes of ASD for further understanding the biological mechanisms behind the disorder. Methods In this study, brain structural MRI data and clinical measures of 221 male subjects with ASD and 257 healthy controls were selected from 7 independent sites from the Autism Brain Image Data Exchange database (ABIDE). Heterogeneity through discriminative analysis (HYDRA), a recently-proposed semi-supervised clustering method was utilized to divide individuals with ASD into several neurosubtypes by regional volumetric measures of gray matter, white matter, and cerebrospinal fluid. Voxel-wise volume, clinical measures, dynamic resting-state functional magnetic resonance imaging (R-fMRI) measures among different neurosubtypes of ASD were explored. In addition, support vector machine (SVM) model was applied to test whether the neurosubtyping of ASD could improve diagnostic accuracy of ASD. Results Two neurosubtypes of ASD with different voxel-wise volumetric patterns were revealed. The full-scale intelligence quotient (IQ), verbal IQ, Autism Diagnostic Observation Schedule (ADOS) total scores and ADOS severity scores were significantly different between the two neurosubtypes, the total intracranial volume was correlated with performance IQ in Subtype 1 and was correlated with ADOS communication score and ADOS social score in Subtype 2. Compared with Subtype 2, Subtype 1 showed lower dynamic R-fMRI measures, lower dynamic functional architecture stability, higher mean and lower standard deviation (SD) of concordance among dynamic R-fMRI measures in cerebellum. In addition, classification accuracies between ASD neurosubtypes and healthy controls were significantly improved compared with classification accuracy between entire ASD group and healthy controls. Limitations The present study excluded female subjects and left-handed subjects, which limited the ability to investigate the associations between these factors and the heterogeneity of ASD. Conclusions The two distinct neuroanatomical subtypes of ASD validated by other data modalities not only adds reliability of the result, but also bridges from brain phenomenology to clinical behavior. The current neurosubtypes of ASD could facilitate understanding the neuropathology of this disorder and could be potentially used to improve clinical decision-making process and optimize treatment. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-022-00489-3.
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Bieneck V, Bletsch A, Mann C, Schäfer T, Seelemeyer H, Herøy N, Zimmermann J, Pretzsch CM, Hattingen E, Ecker C. Longitudinal Changes in Cortical Thickness in Adolescents with Autism Spectrum Disorder and Their Association with Restricted and Repetitive Behaviors. Genes (Basel) 2021; 12:2024. [PMID: 34946972 PMCID: PMC8701312 DOI: 10.3390/genes12122024] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/06/2021] [Accepted: 12/17/2021] [Indexed: 01/01/2023] Open
Abstract
The neuroanatomy of autism spectrum disorder (ASD) shows highly heterogeneous developmental trajectories across individuals. Mapping atypical brain development onto clinical phenotypes, and establishing their molecular underpinnings, is therefore crucial for patient stratification and subtyping. In this longitudinal study we examined intra- and inter-individual differences in the developmental trajectory of cortical thickness (CT) in childhood and adolescence, and their genomic underpinnings, in 33 individuals with ASD and 37 typically developing controls (aged 11-18 years). Moreover, we aimed to link regional atypical CT development to intra-individual variations in restricted and repetitive behavior (RRB) over a two-year time period. Individuals with ASD showed significantly reduced cortical thinning in several of the brain regions functionally related to wider autism symptoms and traits (e.g., fronto-temporal and cingulate cortices). The spatial patterns of the neuroanatomical differences in CT were enriched for genes known to be associated with ASD at a genetic and transcriptomic level. Further, intra-individual differences in CT correlated with within-subject variability in the severity of RRBs. Our findings represent an important step towards characterizing the neuroanatomical underpinnings of ASD across development based upon measures of CT. Moreover, our findings provide important novel insights into the link between microscopic and macroscopic pathology in ASD, as well as their relationship with different clinical ASD phenotypes.
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Affiliation(s)
- Valentina Bieneck
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Caroline Mann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Njål Herøy
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Jennifer Zimmermann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
| | - Charlotte Marie Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London SE5 8AF, UK;
| | - Elke Hattingen
- Institute for Neuroradiology, University Hospital, Goethe University, 60528 Frankfurt, Germany;
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Deutschordenstrasse 50, 60528 Frankfurt, Germany; (A.B.); (C.M.); (T.S.); (H.S.); (N.H.); (J.Z.); (C.E.)
- Brain Imaging Center, Schleusenweg 2-16, Haus 95H, Goethe University, 60528 Frankfurt, Germany
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London SE5 8AF, UK;
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Cygan HB, Nowicka MM, Nowicka A. Impaired attentional bias toward one's own face in autism spectrum disorder: ERP evidence. Autism Res 2021; 15:241-253. [PMID: 34851047 DOI: 10.1002/aur.2647] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 11/07/2022]
Abstract
Converging lines of evidence seem to indicate reduced self-referential processing in individuals with autism spectrum disorder (ASD). However, processing of one's own face has rarely been investigated in the context of ASD. Thus, the aim of the present study was to elucidate the role of attentional biases in the processing of self- and other faces in ASD. To achieve this goal we presented participants with images of their own face, the face of a close-other, and famous and unknown faces in a Stroop-like paradigm. Participants (22 with ASD, 22 typically developing [TD]) were instructed to indicate the color of presented faces while EEG was recorded. Our event-related potential results clearly showed that self-face was associated with larger P3 amplitudes than all other faces in the TD group, thus indicating a strong attentional bias toward one's own face. In the ASD group, P3 to the self-face and the close-other's face did not differ, suggesting similar attentional biases in both cases. In line with these P3 findings, nonparametric cluster-based permutation tests showed an analogous pattern of results: significant clusters for the self-face compared with all other faces in the TD group, and no significant cluster in the ASD group. Overall, our findings revealed impaired attentional bias to one's own face and diminished self versus other differentiation in individuals with ASD. The similar neural underpinnings of the self-face and other faces supports previous findings indicating reduced self-prioritization among individuals with ASD.
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Affiliation(s)
- Hanna B Cygan
- Institute of Physiology and Pathology of Hearing, Bioimaging Research Center, World Hearing Center, Warsaw, Poland
| | - Maria M Nowicka
- Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Anna Nowicka
- Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
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Baizer JS. Functional and Neuropathological Evidence for a Role of the Brainstem in Autism. Front Integr Neurosci 2021; 15:748977. [PMID: 34744648 PMCID: PMC8565487 DOI: 10.3389/fnint.2021.748977] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 09/21/2021] [Indexed: 12/27/2022] Open
Abstract
The brainstem includes many nuclei and fiber tracts that mediate a wide range of functions. Data from two parallel approaches to the study of autistic spectrum disorder (ASD) implicate many brainstem structures. The first approach is to identify the functions affected in ASD and then trace the neural systems mediating those functions. While not included as core symptoms, three areas of function are frequently impaired in ASD: (1) Motor control both of the limbs and body and the control of eye movements; (2) Sensory information processing in vestibular and auditory systems; (3) Control of affect. There are critical brainstem nuclei mediating each of those functions. There are many nuclei critical for eye movement control including the superior colliculus. Vestibular information is first processed in the four nuclei of the vestibular nuclear complex. Auditory information is relayed to the dorsal and ventral cochlear nuclei and subsequently processed in multiple other brainstem nuclei. Critical structures in affect regulation are the brainstem sources of serotonin and norepinephrine, the raphe nuclei and the locus ceruleus. The second approach is the analysis of abnormalities from direct study of ASD brains. The structure most commonly identified as abnormal in neuropathological studies is the cerebellum. It is classically a major component of the motor system, critical for coordination. It has also been implicated in cognitive and language functions, among the core symptoms of ASD. This structure works very closely with the cerebral cortex; the cortex and the cerebellum show parallel enlargement over evolution. The cerebellum receives input from cortex via relays in the pontine nuclei. In addition, climbing fiber input to cerebellum comes from the inferior olive of the medulla. Mossy fiber input comes from the arcuate nucleus of the medulla as well as the pontine nuclei. The cerebellum projects to several brainstem nuclei including the vestibular nuclear complex and the red nucleus. There are thus multiple brainstem nuclei distributed at all levels of the brainstem, medulla, pons, and midbrain, that participate in functions affected in ASD. There is direct evidence that the cerebellum may be abnormal in ASD. The evidence strongly indicates that analysis of these structures could add to our understanding of the neural basis of ASD.
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Affiliation(s)
- Joan S. Baizer
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States
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von Gontard A, Hussong J, Yang SS, Chase J, Franco I, Wright A. Neurodevelopmental disorders and incontinence in children and adolescents: Attention-deficit/hyperactivity disorder, autism spectrum disorder, and intellectual disability-A consensus document of the International Children's Continence Society. Neurourol Urodyn 2021; 41:102-114. [PMID: 34586694 DOI: 10.1002/nau.24798] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/28/2021] [Accepted: 07/10/2021] [Indexed: 12/14/2022]
Abstract
AIMS Neurodevelopmental disorders (NDs) are incapacitating disorders, which begin early in life, are mainly caused by genetic and neurobiological factors, and show a tendency to persist. They are associated with higher rates of incontinence in children and adolescents, including nocturnal enuresis, daytime urinary incontinence, fecal incontinence, and constipation. Without diagnosis and treatment, they will interfere with incontinence treatment leading to less favorable outcomes. The aim of this International Children's Continence Society (ICCS) document is to provide an overview of the three most important NDs, that is, attention-deficit/hyperactivity disorder, autism spectrum disorder (ASD), and intellectual disability (ID). METHODS This consensus paper was commissioned by the ICCS. A selective, nonsystematic review was performed. Guidelines, reviews, and selected studies were included. The recommendations are consensus-based. RESULTS ADHD is the most common ND with special relevance in clinical practice. ASD and ID are less common, but more severe disorders than ADHD. Basic principles of the assessment and treatment of NDs are provided. Incontinence is common among patients with NDs. Specific modifications and practical approaches in the treatment of incontinence in children with NDs are outlined. CONCLUSIONS Incontinence in children and adolescents with NDs is common. Effective treatment of incontinence should be adapted and modified to the specific needs of patients with NDs. A multiprofessional approach is recommended.
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Affiliation(s)
- Alexander von Gontard
- Department of Urology, Governor Kremers Centre, Maastricht University Medical Centre, Maastricht, The Netherlands
- Psychiatric Services Graubünden (PDGR), Outpatient Services for Child and Adolescent Psychiatry, Chur, Switzerland
| | - Justine Hussong
- Department of Child and Adolescent Psychiatry, Saarland University Hospital, Homburg, Germany
| | - Stephen S Yang
- Department of Urology, Taipei Tzu Chi Hospital and Buddhist Tzu Chi Universtiy, New Taipei, Taiwan
| | - Janet Chase
- Victorian Children's Continence Clinic, Melbourne, Victoria, Australia
- Paediatric Gastroenterology, Victoria Royal Children's Hospital, Melbourne, Australia
| | - Israel Franco
- Children's Bladder and Continence Program, Yale School of Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA
| | - Anne Wright
- Children's Bladder Clinic, Evelina London Children's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, UK
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Mo K, Sadoway T, Bonato S, Ameis SH, Anagnostou E, Lerch JP, Taylor MJ, Lai MC. Sex/gender differences in the human autistic brains: A systematic review of 20 years of neuroimaging research. Neuroimage Clin 2021; 32:102811. [PMID: 34509922 PMCID: PMC8436080 DOI: 10.1016/j.nicl.2021.102811] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 06/25/2021] [Accepted: 08/29/2021] [Indexed: 12/01/2022]
Abstract
Our current understanding of autism is largely based on clinical experiences and research involving male individuals given the male-predominance in prevalence and the under-inclusion of female individuals due to small samples, co-occurring conditions, or simply being missed for diagnosis. There is a significantly biased 'male lens' in this field with autistic females insufficiently understood. We therefore conducted a systematic review to examine how sex and gender modulate brain structure and function in autistic individuals. Findings from the past 20 years are yet to converge on specific brain regions/networks with consistent sex/gender-modulating effects. Despite at least three well-powered studies identifying specific patterns of significant sex/gender-modulation of autism-control differences, many other studies are likely underpowered, suggesting a critical need for future investigation into sex/gender-based heterogeneity with better-powered designs. Future research should also formally investigate the effects of gender, beyond biological sex, which is mostly absent in the current literature. Understanding the roles of sex and gender in the development of autism is an imperative step to extend beyond the 'male lens' in this field.
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Affiliation(s)
- Kelly Mo
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - Tara Sadoway
- Department of Paediatric Laboratory Medicine, Hospital for Sick Children, Toronto, Canada
| | - Sarah Bonato
- Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - Stephanie H Ameis
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, Hospital for Sick Children, Toronto, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Evdokia Anagnostou
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Jason P Lerch
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom; Neurosciences & Mental Health Program, SickKids Research Institute, Toronto, Canada
| | - Margot J Taylor
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Neurosciences & Mental Health Program, SickKids Research Institute, Toronto, Canada; Diagnostic Imaging, Hospital for Sick Children, Toronto, Canada
| | - Meng-Chuan Lai
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, Hospital for Sick Children, Toronto, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Neurosciences & Mental Health Program, SickKids Research Institute, Toronto, Canada; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
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Li L, Zuo Y, Chen Y. Relationship between local gyrification index and age, intelligence quotient, symptom severity with Autism Spectrum Disorder: A large-scale MRI study. J Clin Neurosci 2021; 91:193-199. [PMID: 34373026 DOI: 10.1016/j.jocn.2021.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 06/28/2021] [Accepted: 07/04/2021] [Indexed: 11/25/2022]
Abstract
Gyrification is one of the most important characteristics in the cerebral cortex and the local gyrification index (LGI) was used to quantify the regional changes in gyrification. The aim of this study was to evaluate LGI alterations in autism spectrum disorder (ASD) individuals in comparison with typically developing (TD) controls and the association of the LGI with age, intelligence quotient (IQ), and symptom severity in a large multicenter dataset. Structural MRI datasets selected from Autism Brain Imaging Data Exchange I and II (ABIDE I and ABIDE II) repository (606 ASD individuals and 765 age-matched TD controls) were used to calculate LGI values. The correlation between the LGI and age, IQ, and other clinical measurements were assessed. No differences in LGI were found between ASD individuals and TD controls after FDR multiple comparison correction, however, LGI decreased with age in both ASD and TD groups. In the TD group, a significant positive correlation was found between the LGI and full IQ (FIQ) in the parahippocampal gyrus, parsopercularis of left hemisphere and entorhinal cortex, parahippocampal, superior temporal gyrus of right hemisphere, but was not observed in the ASD group. Furthermore, a positive correlation between the LGI and Autism Diagnostic Interview-Revised (ADI-R) Repetitive and Restrictive Behaviors (RRB) score was found in the left inferior parietal lobule, lateral occipital cortex, superior frontal gyrus and right superior frontal gyrus, inferior temporal gyrus. In summary, these results demonstrate that the ASD is a truly heterogeneous neurodevelopmental disorder. Future investigations are required that group ASD patients into more homogeneous subtypes.
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Affiliation(s)
- Lin Li
- Human Anatomy Department, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu, PR China.
| | - Yizhi Zuo
- Human Anatomy Department, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu, PR China.
| | - Yiyong Chen
- School of Medicine, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo 315211, Zhejiang, PR China.
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Kichukova T, Petrov V, Popov N, Minchev D, Naimov S, Minkov I, Vachev T. Identification of serum microRNA signatures associated with autism spectrum disorder as promising candidate biomarkers. Heliyon 2021; 7:e07462. [PMID: 34286132 PMCID: PMC8278430 DOI: 10.1016/j.heliyon.2021.e07462] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/06/2021] [Accepted: 06/29/2021] [Indexed: 01/15/2023] Open
Abstract
Background MicroRNAs (miRNAs) are short non-coding RNA molecules with a well-recognized role in gene expression mostly at the post-transcriptional level. Recently, dysregulation of miRNAs and miRNA-mRNA interactions has been associated with CNS diseases, including numerous psychiatric disorders. Dynamic changes in the expression profiles of circulating miRNA are nowadays regarded as promising non-invasive biomarkers that may facilitate the accurate and timely diagnosis of complex conditions. Methods In this study, we investigated the gene expression patterns of four miRNAs, which were previously reported to be dysregulated in pooled serum samples taken from Autism Spectrum Disorder (ASD) patients and typically developing children. The performance of a diagnostic model for ASD based on these four miRNAs was assessed by a receiver operating characteristic (ROC) curve analysis, which evaluates the diagnostic accuracy of the investigated miRNA biomarkers for ASD. Finally, to examine the potential modulation of CNS-related biological pathways, we carried out target identification and pathway analyses of the selected miRNAs. Results Significant differential expression for all the four studied miRNAs: miR-500a-5p, miR-197-5p, miR-424-5p, and miR-664a-3p, was consistently measured in the samples from ASD patients. The ROC curve analysis demonstrated high sensitivity and specificity for miR-500a-5p, miR-197-5p, and miR-424-5p. With all miRNA expression data integrated into an additive ROC curve, the combination of miR-500a-5p and miR-197-5p provided the most powerful diagnostic model. On the other hand, the mRNA target mining showed that miR-424-5p and miR-500-5p regulate pools of target mRNA molecules which are enriched in a number of biological pathways associated with the development and differentiation of the nervous system. Conclusions The steady expression patterns of miR-500a-5p, miR-197-5p, miR-424-5p, and miR-664a-3p in ASD children suggest that these miRNAs can be considered good candidates for non-invasive molecular biomarkers in the study of ASD patients. The highest diagnostic potential is manifested by miR-500a-5p and miR-197-5p, whose combined ROC curve demonstrates very strong predictive accuracy.
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Affiliation(s)
- Tatyana Kichukova
- Department of Plant Physiology and Molecular Biology, "Paisii Hilendarski" University of Plovdiv, 24 Tzar Assen Street, Plovdiv, Bulgaria
| | - Veselin Petrov
- Department of Plant Physiology, Biochemistry and Genetics, Agricultural University of Plovdiv, Bulgaria
| | - Nikolay Popov
- Psychiatric Ward for Active Treatment of Men, State Psychiatry Hospital Pazardzhik, Pazardzhik, Bulgaria
| | - Danail Minchev
- Department of Medical Biology, Faculty of Medicine, Medical University-Plovdiv, 15-A Vassil Aprilov Blvd., Plovdiv, Bulgaria.,Division of Molecular and Regenerative Medicine, Research Institute at Medical University of 12 Plovdiv, 15A Vasil Aprilov Blvd, Plovdiv, 4000, Bulgaria
| | - Samir Naimov
- Department of Plant Physiology and Molecular Biology, "Paisii Hilendarski" University of Plovdiv, 24 Tzar Assen Street, Plovdiv, Bulgaria
| | - Ivan Minkov
- Institute of Molecular Biology and Biotechnologies (IMBB), Plovdiv, Bulgaria
| | - Tihomir Vachev
- Department of Plant Physiology and Molecular Biology, "Paisii Hilendarski" University of Plovdiv, 24 Tzar Assen Street, Plovdiv, Bulgaria
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Lan J, Hu Y, Wang X, Zheng W, Liao A, Wang S, Li Y, Wang Y, Yang F, Chen D. Abnormal spatiotemporal expression pattern of progranulin and neurodevelopment impairment in VPA-induced ASD rat model. Neuropharmacology 2021; 196:108689. [PMID: 34175324 DOI: 10.1016/j.neuropharm.2021.108689] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 06/06/2021] [Accepted: 06/22/2021] [Indexed: 11/19/2022]
Abstract
Some environmental risk factors have been proven to contribute to the etiology of autism spectrum disorder (ASD). Exposure to the antiepileptic drug valproic acid (VPA) during pregnancy significantly increases the risk of ASD in humans, and consequently is utilized as a validated animal model of ASD in rodents; however, the precise molecular and cellular mechanisms remain ill-defined. In the present study, we investigated the effect of prenatal VPA exposure on the spatiotemporal dynamics of Progranulin (PGRN) expression, neuronal apoptosis, synapse density, and AKT/GSK-3β pathway activation in the brains of VPA-exposed offspring. Results from behavioral tests were consistent with prior studies showing impaired sociability, restricted interests and increased repetitive behaviors in VPA rats at postnatal days 28-32. Our data also indicated that VPA exposure resulted in abnormal dynamics of PGRN expression in different brain regions at the different development stages. The temporal and spatial patterns of PGRN expression were consistent with the spatiotemporal regularity of abnormalities, which observed in apoptosis-related protein levels, neuron numbers, dendritic spine density, synapse-related protein levels, and AKT/GSK-3β phosphorylation in VPA rats. It suggests that prenatal VPA exposure may affect the spatiotemporal regularity of neuronal apoptosis and synaptic development/regression via interfering with the spatiotemporal process of PGRN expression and downstream AKT/GSK-3β pathway activation. This may be a potential mechanism of the abnormal neuroanatomical changes and ASD-like behaviors in VPA-induced ASD.
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Affiliation(s)
- Junying Lan
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
| | - Yuling Hu
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Qujiang No.2 Middle School, Xi'an 710000, China.
| | - Xiaoqing Wang
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Department of Nuclear Medicine, Nanchong Central Hospital, The Second Clinical College of North Sichuan Medical College, Nanchong 637000, China
| | - Wenxia Zheng
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
| | - Ailing Liao
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
| | - Shali Wang
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
| | - Yingbo Li
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
| | - Yan Wang
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
| | - Feng Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Di Chen
- Cerebrovascular Diseases Laboratory, Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
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Fuentes J, Hervás A, Howlin P. ESCAP practice guidance for autism: a summary of evidence-based recommendations for diagnosis and treatment. Eur Child Adolesc Psychiatry 2021; 30:961-984. [PMID: 32666205 PMCID: PMC8140956 DOI: 10.1007/s00787-020-01587-4] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 06/24/2020] [Indexed: 12/11/2022]
Abstract
Across Europe, there is increased awareness of the frequency and importance of autism spectrum disorder (ASD), which is now recognised not only as a childhood disorder but as a heterogeneous, neurodevelopmental condition that persists throughout life. Services for individuals with autism and their families vary widely, but in most European countries, provision is limited. In 2018, European Society of Child and Adolescent Psychiatry (ESCAP) identified the need for a Practice Guidance document that would help to improve knowledge and practice, especially for individuals in underserviced areas. The present document, prepared by the ASD Working Party and endorsed by the ESCAP Board on October 3, 2019, summarises current information on autism and focuses on ways of detecting, diagnosing, and treating this condition.
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Affiliation(s)
- Joaquin Fuentes
- Child and Adolescent Psychiatrists, Policlínica Gipuzkoa Research Consultant, GAUTENA Autism Society, Paseo de Miramón 174, 20016, San Sebastián, Spain.
| | - Amaia Hervás
- Child and Adolescent Psychiatrists, University Hospital MutuaTerrassa, AGAUR Clinical and Genetic Research Group IGAIN, Barcelona, Spain
| | - Patricia Howlin
- Emeritus Professor of Clinical Child Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
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Nair A, Jalal R, Liu J, Tsang T, McDonald NM, Jackson L, Ponting C, Jeste SS, Bookheimer SY, Dapretto M. Altered Thalamocortical Connectivity in 6-Week-Old Infants at High Familial Risk for Autism Spectrum Disorder. Cereb Cortex 2021; 31:4191-4205. [PMID: 33866373 DOI: 10.1093/cercor/bhab078] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 03/11/2021] [Accepted: 03/12/2021] [Indexed: 12/14/2022] Open
Abstract
Converging evidence from neuroimaging studies has revealed altered connectivity in cortical-subcortical networks in youth and adults with autism spectrum disorder (ASD). Comparatively little is known about the development of cortical-subcortical connectivity in infancy, before the emergence of overt ASD symptomatology. Here, we examined early functional and structural connectivity of thalamocortical networks in infants at high familial risk for ASD (HR) and low-risk controls (LR). Resting-state functional connectivity and diffusion tensor imaging data were acquired in 52 6-week-old infants. Functional connectivity was examined between 6 cortical seeds-prefrontal, motor, somatosensory, temporal, parietal, and occipital regions-and bilateral thalamus. We found significant thalamic-prefrontal underconnectivity, as well as thalamic-occipital and thalamic-motor overconnectivity in HR infants, relative to LR infants. Subsequent structural connectivity analyses also revealed atypical white matter integrity in thalamic-occipital tracts in HR infants, compared with LR infants. Notably, aberrant connectivity indices at 6 weeks predicted atypical social development between 9 and 36 months of age, as assessed with eye-tracking and diagnostic measures. These findings indicate that thalamocortical connectivity is disrupted at both the functional and structural level in HR infants as early as 6 weeks of age, providing a possible early marker of risk for ASD.
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Affiliation(s)
- Aarti Nair
- Department of Psychology, School of Behavioral Health, Loma Linda University, Loma Linda, CA 92354, USA
| | - Rhideeta Jalal
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Janelle Liu
- Interdepartmental Neuroscience Program, University of California, Los Angeles, CA 90095, USA
| | - Tawny Tsang
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
| | - Nicole M McDonald
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Lisa Jackson
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Carolyn Ponting
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
| | - Shafali S Jeste
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
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Luckhardt C, Boxhoorn S, Schütz M, Fann N, Freitag CM. Brain stimulation by tDCS as treatment option in Autism Spectrum Disorder-A systematic literature review. PROGRESS IN BRAIN RESEARCH 2021; 264:233-257. [PMID: 34167658 DOI: 10.1016/bs.pbr.2021.03.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and interaction as well as stereotypical and repetitive behavior. Transcranial direct current stimulation (tDCS) has been proposed as a new intervention method in ASD with the potential to improve cognitive, motor and social communication abilities by targeting specific underlying neuronal alterations. Here, we report results of a systematic literature review on tDCS effects on EEG and behavioral outcomes, and discuss tDCS as treatment option for ASD. PsychInfo, PubMed, ScienceDirect, Web of Science, https://clinicaltrials.gov and the German Clinical Trials Register (Deutsches Register Klinischer Studien) were searched systematically for randomized, sham-controlled clinical trials of tDCS in individuals with ASD, and information regarding study designs and relevant results was extracted. Six eligible studies were identified. The dorsolateral prefrontal cortex (DLPFC) was targeted in four trials, with core ASD symptoms and working memory as outcome measures. One study targeted the primary motor cortex (M1) with motor skills as outcome, and one study targeted the temporoparietal junction (TPJ) with social communication skills as outcome measure. Comparison of the implemented study designs showed high methodological variability between studies regarding stimulation parameters, trial design and outcome measures. Study results indicate initial support for improved cognitive and social communication skills in ASD following tDCS stimulation. However, systematic and comparison studies on the best combination of stimulation intensity, duration, location as well as task related stimulation are necessary, before results can be translated into routine clinical application.
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Affiliation(s)
- Christina Luckhardt
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
| | - Sara Boxhoorn
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Magdalena Schütz
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Nikola Fann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
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Boys with autism spectrum disorder have distinct cortical folding patterns underpinning impaired self-regulation: a surface-based morphometry study. Brain Imaging Behav 2021; 14:2464-2476. [PMID: 31512098 DOI: 10.1007/s11682-019-00199-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Although impaired self-regulation (dysregulation) in autism spectrum disorder (ASD) garnered increasing awareness, the neural mechanism of dysregulation in ASD are far from conclusive. To complement our previous voxel-based morphometry findings, we estimated the cortical thickness, surface area, and local gyrification index based on the surface-based morphometry from structural MRI images in 85 ASD and 65 typically developing control (TDC) boys, aged 7-17 years. Levels of dysregulation were measured by the sum of T-scores of Attention, Aggression, and Anxiety/Depression subscales on the Child Behavior Checklist. We found both ASD and TDC shared similar relationships between dysregulation and cortical folding patterns in the left superior and inferior temporal gyri and the left premotor cortex. Significant diagnosis by dysregulation interactions in cortical folding patterns were identified over the right middle frontal and right lateral orbitofrontal regions. The statistical significance of greater local gyrification index in ASD than TDC in several brain regions disappeared when the level of dysregulation was considered. The findings of shared and distinct neural correlates underpinning dysregulation between ASD and TDC may facilitate the development of targeted interventions in the future. The present work also demonstrates that inter-subject variations in self-regulation may explain some extents of ASD-associated brain morphometric differences, likely suggesting that dysregulation is one of the yardsticks for dissecting the heterogeneity of ASD.
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46
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Hadders-Algra M. Early Diagnostics and Early Intervention in Neurodevelopmental Disorders-Age-Dependent Challenges and Opportunities. J Clin Med 2021; 10:861. [PMID: 33669727 PMCID: PMC7922888 DOI: 10.3390/jcm10040861] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/11/2021] [Accepted: 02/13/2021] [Indexed: 12/20/2022] Open
Abstract
This review discusses early diagnostics and early intervention in developmental disorders in the light of brain development. The best instruments for early detection of cerebral palsy (CP) with or without intellectual disability are neonatal magnetic resonance imaging, general movements assessment at 2-4 months and from 2-4 months onwards, the Hammersmith Infant Neurological Examination and Standardized Infant NeuroDevelopmental Assessment. Early detection of autism spectrum disorders (ASD) is difficult; its first signs emerge at the end of the first year. Prediction with the Modified Checklist for Autism in Toddlers and Infant Toddler Checklist is possible to some extent and improves during the second year, especially in children at familial risk of ASD. Thus, prediction improves substantially when transient brain structures have been replaced by permanent circuitries. At around 3 months the cortical subplate has dissolved in primary motor and sensory cortices; around 12 months the cortical subplate in prefrontal and parieto-temporal cortices and cerebellar external granular layer have disappeared. This review stresses that families are pivotal in early intervention. It summarizes evidence on the effectiveness of early intervention in medically fragile neonates, infants at low to moderate risk, infants with or at high risk of CP and with or at high risk of ASD.
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Affiliation(s)
- Mijna Hadders-Algra
- University of Groningen, University Medical Center Groningen, Department of Paediatrics-Section Developmental Neurology, 9713 GZ Groningen, The Netherlands
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47
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Schäfer T, Mann C, Bletsch A, Zimmermann J, Seelemeyer H, Herøy N, Ecker C. Die Kortexdicke bei Autismus-Spektrum-Störung wird moduliert durch eine komorbide Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung. KINDHEIT UND ENTWICKLUNG 2021. [DOI: 10.1026/0942-5403/a000329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Zusammenfassung. Theoretischer Hintergrund: Autismus-Spektrum-Störung (ASS) ist eine neuronale Entwicklungsstörung und tritt häufig gemeinsam mit der Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung (ADHS) auf. Bisher wurde jedoch nur selten untersucht, wie sich Personen mit ASS von Personen mit ASS und komorbider ADHS, sowie von einer gesunden Kontrollgruppe (KG) auf neuroanatomischer Ebene unterscheiden. Fragestellung: In der vorliegenden Studie wurde an 101 Jugendlichen untersucht, ob die Kortexdicke bei ASS von komorbid auftretenden ADHS-Symptomen moduliert wird. Methode: Für jeden Proband_innen berechneten wir auf Basis struktureller T1-gewichteter Magnetresonanztomographie Scans die Kortexdicke an jedem Punkt der Gehirnoberfläche. Ergebnisse: Es zeigten sich signifikante Unterschiede zwischen autistischen Proband_innen mit und ohne ADHS im posterioren Cingulum, der Lingualwindung sowie dem Precuneus der linken Hemisphäre. Diskussion und Schlussfolgerung: Die Ergebnisse implizieren, dass die kortikale Dicke bei ASS durch das gleichzeitige Vorliegen einer ADHS moduliert wird. Diese Erkenntnisse könnten in zukünftigen Studien zur Untersuchung neuroanatomischer Ursachen von ASS und der Unterteilung von Proband_innen in homogenere Subgruppen von Nutzen sein und so der zukünftigen Entwicklung individualisierter Therapien dienen.
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Affiliation(s)
- Tim Schäfer
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
| | - Caroline Mann
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
| | - Anke Bletsch
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
| | - Jennifer Zimmermann
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
| | - Hanna Seelemeyer
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
| | - Njål Herøy
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
| | - Christine Ecker
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum,Goethe-Universität Frankfurt am Main
- Brain Imaging Center, Goethe-Universität Frankfurt am Main
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience,King’s College, London
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48
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Yankowitz LD, Yerys BE, Herrington JD, Pandey J, Schultz RT. Dissociating regional gray matter density and gray matter volume in autism spectrum condition. NEUROIMAGE: CLINICAL 2021; 32:102888. [PMID: 34911194 PMCID: PMC8633367 DOI: 10.1016/j.nicl.2021.102888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 10/18/2021] [Accepted: 11/16/2021] [Indexed: 12/21/2022] Open
Abstract
Local gray matter structure can be separated into density and volume. Gray matter density increased and volume decreased with age in adolescence. Increased gray matter density but reduced volume in girls relative to boys. Autism is associated with increased gray matter volume, but not density. Regions with increased volume align with prior studies in autistic youth.
Background Despite decades of research, there is continued uncertainty regarding whether autism is associated with a specific profile of gray matter (GM) structure. This inconsistency may stem from the widespread use of voxel-based morphometry (VBM) methods that combine indices of GM density and GM volume. If GM density or volume, but not both, prove different in autism, the traditional VBM approach of combining the two indices may obscure the difference. The present study measures GM density and volume separately to examine whether autism is associated with alterations in GM volume, density, or both. Methods Differences in MRI-based GM density and volume were examined in 6–25 year-olds with a diagnosis of autism spectrum disorder (n = 213, 80.8% male, IQ 47–154) and a typically developing (TD) sample (n = 190, 71.6% male, IQ 67–155). High-resolution T1-weighted anatomical images were collected on a single MRI scanner. Regional density and volume were estimated via whole-brain parcellation comprised of 1625 parcels. Parcel-wise analyses were conducted using generalized additive models while controlling the false discovery rate (FDR, q < 0.05). Volume differences in the 68-region Desikan-Killiany atlas derived from Freesurfer were also examined, to establish the generalizability of findings across methods. Results No density differences were observed between the autistic and TD groups, either in individual parcels or whole brain mean density. Increased volume was observed in autism compared to the TD group when controlling for Age, Sex, and IQ, both at the level of the whole brain (total volume) and in 45 parcels (2.8% of total parcels). Parcels with greater volume included inferior, middle, and superior temporal gyrus, inferior and superior frontal gyrus, precuneus, and fusiform gyrus. Converging evidence from a standard Freesurfer pipeline also identified greater volume in a number of overlapping regions. Limitations The method for determining “density” is not a direct measure of neuronal density, and this study cannot reveal underlying cellular differences. While this study represents possibly the largest single-site sample of its kind, it is underpowered to detect very small differences. Conclusions These results provide compelling evidence that autism is associated with regional GM volumetric differences, which are more prominent than density differences. This underscores the importance of examining volume and density separately, and suggests that direct measures of volume (e.g. region-of-interest or tensor-based morphometry approaches) may be more sensitive to autism-relevant differences in neuroanatomy than concentration/density-based approaches.
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49
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Yang T, Li D, Zhang Y, Zhang L, Li H, Ji GJ, Yang Z, Zhang L, Zhu C, Wang K. Eye Avoidance of Threatening Facial Expressions in Parents of Children with ASD. Neuropsychiatr Dis Treat 2021; 17:1869-1879. [PMID: 34140771 PMCID: PMC8203098 DOI: 10.2147/ndt.s300491] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/17/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Previous research found that autism spectrum disorder (ASD) was characterized by eye avoidance of threatening facial expressions. However, it still remains unclear as to whether these abnormalities are present in parents of children with ASD. Our study aimed to investigate the gaze patterns of parents of children with ASD in the threatening facial expressions. METHODS Thirty-four parents of children with ASD and 35 parents of typically developing (TD) children participated in our study. We investigated the total fixation time of participants when they viewed different facial expression (eg, happy, fearful, angry, sad) videos and examined changes in the fixation duration over time. RESULTS We observed the following: a) the total fixation time of the parents of children with ASD on the eyes of fearful faces was significantly shorter than that of the normal group, and the difference lasted for five seconds (four to six seconds, eight to nine seconds) throughout the process; and b) The parents of children with ASD avoided the eyes of angry expression faces at around five seconds after the stimulus onset. CONCLUSION We concluded that parents of children with ASD tended to avoid the eyes of threatening expression faces while viewing the dynamic emotions video.
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Affiliation(s)
- Tingting Yang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China
| | - Dandan Li
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China.,Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, People's Republic of China
| | - Yifan Zhang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China
| | - Long Zhang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, People's Republic of China
| | - Hong Li
- Department of Neurological Rehabilitation of Children, Anhui Provincial Children's Hospital, Hefei, 230022, People's Republic of China
| | - Gong-Jun Ji
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China.,Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, People's Republic of China
| | - Zhenhai Yang
- Department of Rehabilitation therapy, The First Clinical Medical College of Anhui Medical University, Hefei, 230022, People's Republic of China
| | - Lei Zhang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, People's Republic of China
| | - Chunyan Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, People's Republic of China
| | - Kai Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, People's Republic of China.,Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, People's Republic of China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230022, People's Republic of China
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50
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Mann C, Schäfer T, Bletsch A, Gudbrandsen M, Daly E, Suckling J, Bullmore ET, Lombardo MV, Lai MC, Craig MC, Baron-Cohen S, Murphy DGM, Ecker C. Examining volumetric gradients based on the frustum surface ratio in the brain in autism spectrum disorder. Hum Brain Mapp 2020; 42:953-966. [PMID: 33295656 PMCID: PMC7856638 DOI: 10.1002/hbm.25270] [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: 04/22/2020] [Revised: 10/13/2020] [Accepted: 10/18/2020] [Indexed: 11/19/2022] Open
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that is accompanied by neurodevelopmental differences in regional cortical volume (CV), and a potential layer‐specific pathology. Conventional measures of CV, however, do not indicate how volume is distributed across cortical layers. In a sample of 92 typically developing (TD) controls and 92 adult individuals with ASD (aged 18–52 years), we examined volumetric gradients by quantifying the degree to which CV is weighted from the pial to the white surface of the brain. Overall, the spatial distribution of Frustum Surface Ratio (FSR) followed the gyral and sulcal pattern of the cortex and approximated a bimodal Gaussian distribution caused by a linear mixture of vertices on gyri and sulci. Measures of FSR were highly correlated with vertex‐wise estimates of mean curvature, sulcal depth, and pial surface area, although none of these features explained more than 76% variability in FSR on their own. Moreover, in ASD, we observed a pattern of predominant increases in the degree of FSR relative to TD controls, with an atypical neurodevelopmental trajectory. Our findings suggest a more outward‐weighted gradient of CV in ASD, which may indicate a larger contribution of supragranular layers to regional differences in CV.
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Affiliation(s)
- Caroline Mann
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany
| | - Maria Gudbrandsen
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - John Suckling
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Edward T Bullmore
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Michael V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Meng-Chuan Lai
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Centre for Addiction and Mental Health and The Hospital for Sick Children, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Michael C Craig
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom.,National Autism Unit, Bethlem Royal Hospital, London, United Kingdom
| | | | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany.,Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
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