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Andrews DS, Diers K, Lee JK, Harvey DJ, Heath B, Cordero D, Rogers SJ, Reuter M, Solomon M, Amaral DG, Nordahl CW. Sex differences in trajectories of cortical development in autistic children from 2-13 years of age. Mol Psychiatry 2024; 29:3440-3451. [PMID: 38755243 PMCID: PMC11541213 DOI: 10.1038/s41380-024-02592-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/18/2024]
Abstract
Previous studies have reported alterations in cortical thickness in autism. However, few have included enough autistic females to determine if there are sex specific differences in cortical structure in autism. This longitudinal study aimed to investigate autistic sex differences in cortical thickness and trajectory of cortical thinning across childhood. Participants included 290 autistic (88 females) and 139 nonautistic (60 females) individuals assessed at up to 4 timepoints spanning ~2-13 years of age (918 total MRI timepoints). Estimates of cortical thickness in early and late childhood as well as the trajectory of cortical thinning were modeled using spatiotemporal linear mixed effects models of age-by-sex-by-diagnosis. Additionally, the spatial correspondence between cortical maps of sex-by-diagnosis differences and neurotypical sex differences were evaluated. Relative to their nonautistic peers, autistic females had more extensive cortical differences than autistic males. These differences involved multiple functional networks, and were mainly characterized by thicker cortex at ~3 years of age and faster cortical thinning in autistic females. Cortical regions in which autistic alterations were different between the sexes significantly overlapped with regions that differed by sex in neurotypical development. Autistic females and males demonstrated some shared differences in cortical thickness and rate of cortical thinning across childhood relative to their nonautistic peers, however these areas were relatively small compared to the widespread differences observed across the sexes. These results support evidence of sex-specific neurobiology in autism and suggest that processes that regulate sex differentiation in the neurotypical brain contribute to sex differences in the etiology of autism.
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Affiliation(s)
- Derek S Andrews
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA.
| | - Kersten Diers
- AI in Medical Imaging, German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Joshua K Lee
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA
| | - Danielle J Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California, University of California, Davis, CA, USA
| | - Brianna Heath
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA
| | - Devani Cordero
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Sally J Rogers
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA
| | - Martin Reuter
- AI in Medical Imaging, German Center for Neurodegenerative Diseases, Bonn, Germany
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Marjorie Solomon
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA
| | - David G Amaral
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA
| | - Christine Wu Nordahl
- Department of Psychiatry & Behavioral Sciences, the MIND Institute, University of California, Davis, CA, USA
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2
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Leyhausen J, Schäfer T, Gurr C, Berg LM, Seelemeyer H, Pretzsch CM, Loth E, Oakley B, Buitelaar JK, Beckmann CF, Floris DL, Charman T, Bourgeron T, Banaschewski T, Jones EJH, Tillmann J, Chatham C, Murphy DG, Ecker C. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder. Biol Psychiatry 2024; 95:175-186. [PMID: 37348802 DOI: 10.1016/j.biopsych.2023.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/02/2023] [Accepted: 06/10/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Autism is a heterogeneous neurodevelopmental condition accompanied by differences in brain connectivity. Structural connectivity in autism has mainly been investigated within the white matter. However, many genetic variants associated with autism highlight genes related to synaptogenesis and axonal guidance, thus also implicating differences in intrinsic (i.e., gray matter) connections in autism. Intrinsic connections may be assessed in vivo via so-called intrinsic global and local wiring costs. METHODS Here, we examined intrinsic global and local wiring costs in the brain of 359 individuals with autism and 279 healthy control participants ages 6 to 30 years from the EU-AIMS LEAP (Longitudinal European Autism Project). FreeSurfer was used to derive surface mesh representations to compute the estimated length of connections required to wire the brain within the gray matter. Vertexwise between-group differences were assessed using a general linear model. A gene expression decoding analysis based on the Allen Human Brain Atlas was performed to link neuroanatomical differences to putative underpinnings. RESULTS Group differences in global and local wiring costs were predominantly observed in medial and lateral prefrontal brain regions, in inferior temporal regions, and at the left temporoparietal junction. The resulting neuroanatomical patterns were enriched for genes that had been previously implicated in the etiology of autism at genetic and transcriptomic levels. CONCLUSIONS Based on intrinsic gray matter connectivity, the current study investigated the complex neuroanatomy of autism and linked between-group differences to putative genomic and/or molecular mechanisms to parse the heterogeneity of autism and provide targets for future subgrouping approaches.
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Affiliation(s)
- Johanna Leyhausen
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Lisa M Berg
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - 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
| | - 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 Zürich, Zurich, Switzerland
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Thomas Bourgeron
- Institut Pasteur, Human Genetics and Cognitive Functions Unit, Paris, France
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Julian Tillmann
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Chris Chatham
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Declan G Murphy
- 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, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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3
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Gonçalves AM, Monteiro P. Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing. J Neural Transm (Vienna) 2023; 130:325-408. [PMID: 36914900 PMCID: PMC10033482 DOI: 10.1007/s00702-023-02595-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/17/2023] [Indexed: 03/15/2023]
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with a wide spectrum of symptoms, mainly characterized by social, communication, and cognitive impairments. Latest diagnostic criteria according to DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, 2013) now include sensory issues among the four restricted/repetitive behavior features defined as "hyper- or hypo-reactivity to sensory input or unusual interest in sensory aspects of environment". Here, we review auditory sensory alterations in patients with ASD. Considering the updated diagnostic criteria for ASD, we examined research evidence (2015-2022) of the integrity of the cognitive function in auditory-related tasks, the integrity of the peripheral auditory system, and the integrity of the central nervous system in patients diagnosed with ASD. Taking into account the different approaches and experimental study designs, we reappraise the knowledge on auditory sensory alterations and reflect on how these might be linked with behavior symptomatology in ASD.
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Affiliation(s)
- Ana Margarida Gonçalves
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal
| | - Patricia Monteiro
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.
- Experimental Biology Unit, Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal.
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4
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Neurobiological correlates and attenuated positive social intention attribution during laughter perception associated with degree of autistic traits. J Neural Transm (Vienna) 2023; 130:585-596. [PMID: 36808307 PMCID: PMC10049931 DOI: 10.1007/s00702-023-02599-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 02/03/2023] [Indexed: 02/21/2023]
Abstract
Laughter plays an important role in group formation, signaling social belongingness by indicating a positive or negative social intention towards the receiver. In adults without autism, the intention of laughter can be correctly differentiated without further contextual information. In autism spectrum disorder (ASD), however, differences in the perception and interpretation of social cues represent a key characteristic of the disorder. Studies suggest that these differences are associated with hypoactivation and altered connectivity among key nodes of the social perception network. How laughter, as a multimodal nonverbal social cue, is perceived and processed neurobiologically in association with autistic traits has not been assessed previously. We investigated differences in social intention attribution, neurobiological activation, and connectivity during audiovisual laughter perception in association with the degree of autistic traits in adults [N = 31, Mage (SD) = 30.7 (10.0) years, nfemale = 14]. An attenuated tendency to attribute positive social intention to laughter was found with increasing autistic traits. Neurobiologically, autistic trait scores were associated with decreased activation in the right inferior frontal cortex during laughter perception and with attenuated connectivity between the bilateral fusiform face area with bilateral inferior and lateral frontal, superior temporal, mid-cingulate and inferior parietal cortices. Results support hypoactivity and hypoconnectivity during social cue processing with increasing ASD symptoms between socioemotional face processing nodes and higher-order multimodal processing regions related to emotion identification and attribution of social intention. Furthermore, results reflect the importance of specifically including signals of positive social intention in future studies in ASD.
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5
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Morris P, Hope E, Foulsham T, Mills JP. Dancing out for a voice; a narrative review of the literature exploring autism, physical activity, and dance. J Bodyw Mov Ther 2023; 33:202-215. [PMID: 36775520 DOI: 10.1016/j.jbmt.2022.09.016] [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: 08/06/2021] [Revised: 04/27/2022] [Accepted: 09/18/2022] [Indexed: 11/30/2022]
Abstract
Autism Spectrum Disorder is characterised by profound challenges with social communication and social interaction. Currently, there are few therapeutic interventions that successfully target some of the functionally impairing traits associated with autism. Furthermore, many of these interventions comprise a variety of limitations; including, limited accessibility, extensive durations, or the requirement of a trained professional to deliver the intervention. New research suggests that instead of targeting all traits associated with Autism Spectrum Disorder with a single solution, scientific research should focus on providing therapeutic tools that alleviate functionally impairing facets specific to the individual. Owing to the nature of physical activity, sports, and dance (coordinated movement) these activities could provide opportunities to enhance communication skills and social development in autistic children. Therefore, this paper gives a narrative overview of the literature surrounding communication and coordinated movement; outlining what is meant by communication challenges, exploring the benefits of coordinated movement for traits associated with Autism Spectrum Disorder, and delineating how coordinated movement elicits positive outcomes for autistic children.
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Affiliation(s)
- Phoebe Morris
- School of Sport, Exercise Science and Rehabilitation, University of Essex, UK.
| | - Edward Hope
- School of Sport, Exercise Science and Rehabilitation, University of Essex, UK
| | - Tom Foulsham
- Department of Psychology, University of Essex, UK
| | - John P Mills
- School of Sport, Exercise Science and Rehabilitation, University of Essex, UK
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6
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Durkut M, Blok E, Suleri A, White T. The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study. Mol Autism 2022; 13:31. [PMID: 35790991 PMCID: PMC9258195 DOI: 10.1186/s13229-022-00504-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 05/24/2022] [Indexed: 11/10/2022] Open
Abstract
Objective Autistic traits are associated with alterations in brain morphology. However, the anatomic location of these differences and their developmental trajectories are unclear. The primary objective of this longitudinal study was to explore the bidirectional relationship between autistic traits and brain morphology from childhood to adolescence. Method Participants were drawn from a population-based cohort. Cross-sectional and longitudinal analyses included 1950 (mean age 13.5) and 304 participants (mean ages 6.2 and 13.5), respectively. Autistic traits were measured with the Social Responsiveness Scale. Global brain measures and surface-based measures of gyrification, cortical thickness and surface area were obtained from T1-weighted MRI scans. Cross-sectional associations were assessed using linear regression analyses. Cross-lagged panel models were used to determine the longitudinal bidirectional relationship between autistic traits and brain morphology. Results Cross-sectionally, higher levels of autistic traits in adolescents are associated with lower gyrification in the pars opercularis, insula and superior temporal cortex; smaller surface area in the middle temporal and postcentral cortex; larger cortical thickness in the superior frontal cortex; and smaller cerebellum cortex volume. Longitudinally, both autistic traits and brain measures were quite stable, with neither brain measures predicting changes in autistic traits, nor vice-versa. Limitations Autistic traits were assessed at only two time points, and thus we could not distinguish within- versus between-person effects. Furthermore, two different MRI scanners were used between baseline and follow-up for imaging data acquisition. Conclusions Our findings point to early changes in brain morphology in children with autistic symptoms that remain quite stable over time. The observed relationship did not change substantially after excluding children with high levels of autistic traits, bolstering the evidence for the extension of the neurobiology of autistic traits to the general population. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-022-00504-7.
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7
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Sexual Differences in Internet Gaming Disorder (IGD): From Psychological Features to Neuroanatomical Networks. J Clin Med 2022; 11:jcm11041018. [PMID: 35207293 PMCID: PMC8877403 DOI: 10.3390/jcm11041018] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/26/2022] [Accepted: 02/13/2022] [Indexed: 01/27/2023] Open
Abstract
Internet gaming disorder (IGD) has been included in the 2013 Diagnostic and Statistical Manual of Mental Disorders (DSM-5) as a condition in need of further study, and gaming disorder was recognized by the World Health Organization as a mental disorder in the International Classification of Disease (ICD-11) of 2018. IGD has different characteristics in the two sexes and is more prevalent in males than females. However, even if the female gamer population is constantly growing, the majority of available studies analyzed only males, or the data were not analyzed by sex. To better elucidate sex differences in IGD, we selectively reviewed research publications that evaluated IGD separately for males and females collected in approximately one hundred publications over the past 20 years. The available data in this narrative review indicate that IGD is strongly dimorphic by sex for both its psychological features and the involvement of different brain areas. Impulsivity, low self-control, anxiety, emotion dysregulation, and depression are some of the psychological features associated with IGD that show a sex dimorphism. At the same time, IGD and its psychological alterations are strongly correlated to dimorphic functional characteristics in relevant brain areas, as evidenced by fMRI. More research is needed to better understand sex differences in IGD. Animal models could help to elucidate the neurological basis of this disorder.
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8
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Liu J, Tsang T, Ponting C, Jackson L, Jeste SS, Bookheimer SY, Dapretto M. Lack of neural evidence for implicit language learning in 9-month-old infants at high risk for autism. Dev Sci 2020; 24:e13078. [PMID: 33368921 DOI: 10.1111/desc.13078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 12/18/2020] [Accepted: 12/21/2020] [Indexed: 11/30/2022]
Abstract
Word segmentation is a fundamental aspect of language learning, since identification of word boundaries in continuous speech must occur before the acquisition of word meanings can take place. We previously used functional magnetic resonance imaging (fMRI) to show that youth with autism spectrum disorder (ASD) are less sensitive to statistical and speech cues that guide implicit word segmentation. However, little is known about the neural mechanisms underlying this process during infancy and how this may be associated with ASD risk. Here, we examined early neural signatures of language-related learning in 9-month-old infants at high (HR) and low familial risk (LR) for ASD. During natural sleep, infants underwent fMRI while passively listening to three speech streams containing strong statistical and prosodic cues, strong statistical cues only, or minimal statistical cues to word boundaries. Compared to HR infants, LR infants showed greater activity in the left amygdala for the speech stream containing statistical and prosodic cues. While listening to this same speech stream, LR infants also showed more learning-related signal increases in left temporal regions as well as increasing functional connectivity between bilateral primary auditory cortex and right anterior insula. Importantly, learning-related signal increases at 9 months positively correlated with expressive language outcome at 36 months in both groups. In the HR group, greater signal increases were additionally associated with less severe ASD symptomatology at 36 months. These findings suggest that early differences in the neural networks underlying language learning may predict subsequent language development and altered trajectories associated with ASD risk.
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Affiliation(s)
- Janelle Liu
- Interdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.,Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tawny Tsang
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.,Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Carolyn Ponting
- Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.,Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lisa Jackson
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.,Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.,Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Shafali S Jeste
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.,Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.,Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.,Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA
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9
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Wang M, Hu Y, Wang Z, Du X, Dong G. Sex difference in the effect of Internet gaming disorder on the brain functions: Evidence from resting-state fMRI. Neurosci Lett 2019; 698:44-50. [DOI: 10.1016/j.neulet.2018.12.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/23/2018] [Accepted: 12/26/2018] [Indexed: 12/31/2022]
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10
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Kilroy E, Cermak SA, Aziz-Zadeh L. A Review of Functional and Structural Neurobiology of the Action Observation Network in Autism Spectrum Disorder and Developmental Coordination Disorder. Brain Sci 2019; 9:E75. [PMID: 30925819 PMCID: PMC6523237 DOI: 10.3390/brainsci9040075] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 03/20/2019] [Accepted: 03/22/2019] [Indexed: 12/20/2022] Open
Abstract
Recent research has reported motor impairment similarities between children with developmental coordination disorder (DCD) and a subgroup of individuals with autism spectrum disorder (ASD). However, there is a debate as to whether DCD is a co-occurring diagnosis in individuals with ASD and motor impairments (ASDd), or if motor impairments in ASD are distinct from DCD. However, the etiology of motor impairments is not well understood in either disorder. Clarifying comorbidities in ASD is important to determine different etiopathological phenotyping clusters in ASD and to understand the variety of genetic and environmental factors that contribute to the disorder. Furthermore, this distinction has important therapeutic relevance. Here we explore the current neuroimaging findings in ASD and DCD and discusses possible neural mechanisms that underlie similarities and differences between the disorders.
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Affiliation(s)
- Emily Kilroy
- Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University Southern California, Los Angeles, CA 90089, USA.
- Brain and Creativity Institute, University Southern California, Los Angeles, CA 90089, USA.
| | - Sharon A Cermak
- Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University Southern California, Los Angeles, CA 90089, USA.
| | - Lisa Aziz-Zadeh
- Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University Southern California, Los Angeles, CA 90089, USA.
- Brain and Creativity Institute, University Southern California, Los Angeles, CA 90089, USA.
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11
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Zhou H, Zhao W, Ye L, Chen Z, Cui Y. Postnatal low-concentration arsenic exposure induces autism-like behavior and affects frontal cortex neurogenesis in rats. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2018; 62:188-198. [PMID: 30064059 DOI: 10.1016/j.etap.2018.07.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 06/08/2023]
Abstract
This study aimed to explore the effects of postnatal low-concentration arsenic exposure on learning, social skills and frontal cortex neurogenesis in rats. Water-based arsenic exposure rat models were established on postnatal days 4-10 (P4-P10). The experimental animals were divided into four groups: the control group, a 15 μg/L As2O3 water group, a 30 μg/L As2O3 water group, and a 45 μg/L As2O3 water group. Cognitive function was examined with the Morris water maze, anxiety-like behavior with the open field test and light-dark box test, and social skills with a social interaction test. The frontal cortices of pups from each experimental group were sectioned at various time points after arsenic exposure. The morphologies and neurogenesis of the neurons in the frontal cortices were observed by hematoxylin-eosin staining, Nissl staining, and doublecortin (DCX) immunostaining. Significant positive correlations between arsenic concentration and deficits in learning and social skills were found, and the arsenic exposure groups showed significant increases in anxiety-like behavior compared with the control group (all Ps<0.05). Abnormal morphologic changes in the external granular layer and external pyramidal layer were positively correlated with the water arsenic concentration in the acute phase of arsenic exposure. However, at five weeks after arsenic exposure, the frontal cortex morphology was restored. Moreover, immunohistochemistry revealed that compared to the control group, the groups that were exposed to arsenic exhibited significantly higher levels of DCX expression in the external granular and external pyramidal layers (all Ps<0.001). Furthermore, the 30 μg/L and 45 μg/L arsenic exposure groups still showed some DCX expression at five weeks after exposure. In conclusion, postnatal low-concentration arsenic exposure impaired learning and social skills and increased anxiety-like behaviors, and abnormal frontal cortex neurogenesis may be the mechanism underlying these effects.
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Affiliation(s)
- Hao Zhou
- Department of Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 550002, China.
| | | | - Liu Ye
- Otolaryngological Department, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 550002, China
| | - Zhihe Chen
- Department of Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 550002, China
| | - Yuxia Cui
- Department of Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 550002, China; Guizhou Medical University, 550004, China.
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12
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Bi XA, Zhao J, Xu Q, Sun Q, Wang Z. Abnormal Functional Connectivity of Resting State Network Detection Based on Linear ICA Analysis in Autism Spectrum Disorder. Front Physiol 2018; 9:475. [PMID: 29867534 PMCID: PMC5952255 DOI: 10.3389/fphys.2018.00475] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 04/16/2018] [Indexed: 11/24/2022] Open
Abstract
Some functional magnetic resonance imaging (fMRI) researches in autism spectrum disorder (ASD) patients have shown that ASD patients have significant impairment in brain response. However, few researchers have studied the functional structure changes of the eight resting state networks (RSNs) in ASD patients. Therefore, research on statistical differences of RSNs between 42 healthy controls (HC) and 50 ASD patients has been studied using linear independent component analysis (ICA) in this paper. Our researches showed that there was abnormal functional connectivity (FC) of RSNs in ASD patients. The RSNs with the decreased FC and increased FC in ASD patients included default mode network (DMN), central executive network (CEN), core network (CN), visual network (VN), self-referential network (SRN) compared to HC. The RSNs with the increased FC in ASD patients included auditory network (AN), somato-motor network (SMN). The dorsal attention network (DAN) in ASD patients showed the decreased FC. Our findings indicate that the abnormal FC in RSNs extensively exists in ASD patients. Our results have important contribution for the study of neuro-pathophysiological mechanisms in ASD patients.
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Affiliation(s)
- Xia-An Bi
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Junxia Zhao
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Qian Xu
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Qi Sun
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Zhigang Wang
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
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13
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Klocke C, Allen JL, Sobolewski M, Blum JL, Zelikoff JT, Cory-Slechta DA. Exposure to fine and ultrafine particulate matter during gestation alters postnatal oligodendrocyte maturation, proliferation capacity, and myelination. Neurotoxicology 2018; 65:196-206. [PMID: 29079486 PMCID: PMC5857223 DOI: 10.1016/j.neuro.2017.10.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 10/23/2017] [Accepted: 10/23/2017] [Indexed: 12/12/2022]
Abstract
Accumulating studies indicate that the brain is a direct target of air pollution exposure during the fetal period. We have previously demonstrated that exposure to concentrated ambient particles (CAPs) during gestation produces ventriculomegaly, periventricular hypermyelination, and enlargement of the corpus callosum (CC) during postnatal development in mice. This study aimed to further characterize the cellular basis of the observed hypermyelination and determine if this outcome, among other effects, persisted as the brain matured. Analysis of CC-1+ mature oligodendrocytes in the CC at postnatal days (PNDs) 11-15 suggest a premature maturational shift in number and proportion of total cells in prenatally CAPs-exposed males and females, with no overall change in total CC cellularity. The overall number of Olig2+ lineage cells in the CC was not affected in either sex at the same postnatal timepoint. Assessment of myelin status at early brain maturity (PNDs 57-61) revealed persistent hypermyelination in CAPs-exposed animals of both sexes. In addition, ventriculomegaly was persistent in CAPs-treated females, with possible amelioration of ventriculomegaly in CAPs-exposed males. When oligodendrocyte precursor cell (OPC) pool status was analyzed at PNDs 57-61, there were significant CAPs-induced alterations in cycling Ki67+/Olig2+ cell number and proportion of total cells in the female CC. Total CC cellularity was slightly elevated in CAPs-exposed males at PNDs 57-61. Overall, these data support a growing body of evidence that demonstrate the vulnerability of the developing brain to environmental insults such as ambient particulate matter. The sensitivity of oligodendrocytes and myelin, in particular, to such an insult warrants further investigation into the mechanistic underpinnings of OPC and myelin disruption by constituent air pollutants.
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Affiliation(s)
- Carolyn Klocke
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA.
| | - Joshua L Allen
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA
| | - Marissa Sobolewski
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA
| | - Jason L Blum
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, NY, USA
| | - Judith T Zelikoff
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, NY, USA
| | - Deborah A Cory-Slechta
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA
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14
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Olivito G, Lupo M, Laghi F, Clausi S, Baiocco R, Cercignani M, Bozzali M, Leggio M. Lobular patterns of cerebellar resting-state connectivity in adults with Autism Spectrum Disorder. Eur J Neurosci 2017; 47:729-735. [DOI: 10.1111/ejn.13752] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 10/06/2017] [Accepted: 10/09/2017] [Indexed: 01/08/2023]
Affiliation(s)
- Giusy Olivito
- Ataxia Laboratory; IRCCS Santa Lucia Foundation; Via Ardeatina 306 00179 Rome Italy
- Neuroimaging Laboratory; IRCCS Santa Lucia Foundation; Rome Italy
| | - Michela Lupo
- Ataxia Laboratory; IRCCS Santa Lucia Foundation; Via Ardeatina 306 00179 Rome Italy
| | - Fiorenzo Laghi
- Department of Developmental and Social Psychology; Faculty of Medicine and Psychology; “Sapienza” University of Rome; Rome Italy
| | - Silvia Clausi
- Ataxia Laboratory; IRCCS Santa Lucia Foundation; Via Ardeatina 306 00179 Rome Italy
- Department of Psychology; Faculty of Medicine and Psychology; “Sapienza” University of Rome; Rome Italy
| | - Roberto Baiocco
- Department of Developmental and Social Psychology; Faculty of Medicine and Psychology; “Sapienza” University of Rome; Rome Italy
| | - Mara Cercignani
- Neuroimaging Laboratory; IRCCS Santa Lucia Foundation; Rome Italy
- Clinical Imaging Sciences Centre; Brighton and Sussex Medical School; University of Sussex; Brighton UK
| | - Marco Bozzali
- Neuroimaging Laboratory; IRCCS Santa Lucia Foundation; Rome Italy
- Clinical Imaging Sciences Centre; Brighton and Sussex Medical School; University of Sussex; Brighton UK
| | - Maria Leggio
- Ataxia Laboratory; IRCCS Santa Lucia Foundation; Via Ardeatina 306 00179 Rome Italy
- Department of Psychology; Faculty of Medicine and Psychology; “Sapienza” University of Rome; Rome Italy
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15
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Duan X, Chen H, He C, Long Z, Guo X, Zhou Y, Uddin LQ, Chen H. Resting-state functional under-connectivity within and between large-scale cortical networks across three low-frequency bands in adolescents with autism. Prog Neuropsychopharmacol Biol Psychiatry 2017; 79:434-441. [PMID: 28779909 DOI: 10.1016/j.pnpbp.2017.07.027] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 07/28/2017] [Accepted: 07/29/2017] [Indexed: 12/17/2022]
Abstract
Although evidence is accumulating that autism spectrum disorder (ASD) is associated with disruption of functional connections between and within brain networks, it remains largely unknown whether these abnormalities are related to specific frequency bands. To address this question, network contingency analysis was performed on brain functional connectomes obtained from 213 adolescent participants across nine sites in the Autism Brain Imaging Data Exchange (ABIDE) multisite sample, to determine the disrupted connections between and within seven major cortical networks in adolescents with ASD at Slow-5, Slow-4 and Slow-3 frequency bands and further assess whether the aberrant intra- and inter-network connectivity varied as a function of ASD symptoms. Overall under-connectivity within and between large-scale intrinsic networks in ASD was revealed across the three frequency bands. Specifically, decreased connectivity strength within the default mode network (DMN), between DMN and visual network (VN), ventral attention network (VAN), and between dorsal attention network (DAN) and VAN was observed in the lower frequency band (slow-5, slow-4), while decreased connectivity between limbic network (LN) and frontal-parietal network (FPN) was observed in the higher frequency band (slow-3). Furthermore, weaker connectivity within and between specific networks correlated with poorer communication and social interaction skills in the slow-5 band, uniquely. These results demonstrate intrinsic under-connectivity within and between multiple brain networks within predefined frequency bands in ASD, suggesting that frequency-related properties underlie abnormal brain network organization in the disorder.
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Affiliation(s)
- Xujun Duan
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, PR China.
| | - Heng Chen
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, PR China
| | - Changchun He
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, PR China
| | - Zhiliang Long
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, PR China
| | - Xiaonan Guo
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, PR China
| | - Yuanyue Zhou
- Mental Health Center, Zhejiang University School of Medicine, Hangzhou Seventh People's Hospital, Hangzhou, PR China
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, United States
| | - Huafu Chen
- Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, PR China.
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16
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Sato W, Kochiyama T, Uono S, Yoshimura S, Kubota Y, Sawada R, Sakihama M, Toichi M. Reduced Gray Matter Volume in the Social Brain Network in Adults with Autism Spectrum Disorder. Front Hum Neurosci 2017; 11:395. [PMID: 28824399 PMCID: PMC5543091 DOI: 10.3389/fnhum.2017.00395] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 07/18/2017] [Indexed: 11/16/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by behavioral impairment in social interactions. Although theoretical and empirical evidence suggests that impairment in the social brain network could be the neural underpinnings of ASD, previous structural magnetic resonance imaging (MRI) studies in adults with ASD have not provided clear support for this, possibly due to confounding factors, such as language impairments. To further explore this issue, we acquired structural MRI data and analyzed gray matter volume in adults with ASD (n = 36) who had no language impairments (diagnosed with Asperger’s disorder or pervasive developmental disorder not otherwise specified, with symptoms milder than those of Asperger’s disorder), had no comorbidity, and were not taking medications, and in age- and sex-matched typically developing (TD) controls (n = 36). Univariate voxel-based morphometry analyses revealed that regional gray matter volume was lower in the ASD than in the control group in several brain regions, including the right inferior occipital gyrus, left fusiform gyrus, right middle temporal gyrus, bilateral amygdala, right inferior frontal gyrus, right orbitofrontal cortex, and left dorsomedial prefrontal cortex. A multivariate approach using a partial least squares (PLS) method showed that these regions constituted a network that could be used to discriminate between the ASD and TD groups. A PLS discriminant analysis using information from these regions showed high accuracy, sensitivity, specificity, and precision (>80%) in discriminating between the groups. These results suggest that reduced gray matter volume in the social brain network represents the neural underpinnings of behavioral social malfunctioning in adults with ASD.
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Affiliation(s)
- Wataru Sato
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | - Takanori Kochiyama
- Brain Activity Imaging Center, Advanced Telecommunications Research Institute InternationalKyoto, Japan
| | - Shota Uono
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | - Sayaka Yoshimura
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | - Yasutaka Kubota
- Health and Medical Services Center, Shiga UniversityShiga, Japan
| | - Reiko Sawada
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | | | - Motomi Toichi
- Faculty of Human Health Science, Kyoto UniversityKyoto, Japan.,The Organization for Promoting Neurodevelopmental Disorder ResearchKyoto, Japan
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17
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Clawson A, South M, Baldwin SA, Larson MJ. Electrophysiological Endophenotypes and the Error-Related Negativity (ERN) in Autism Spectrum Disorder: A Family Study. J Autism Dev Disord 2017; 47:1436-1452. [DOI: 10.1007/s10803-017-3066-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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18
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Han M, Mejias R, Chiu SL, Rose R, Adamczyk A, Huganir R, Wang T. Mice lacking GRIP1/2 show increased social interactions and enhanced phosphorylation at GluA2-S880. Behav Brain Res 2017; 321:176-184. [PMID: 28063882 DOI: 10.1016/j.bbr.2016.12.042] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Revised: 12/26/2016] [Accepted: 12/29/2016] [Indexed: 01/01/2023]
Abstract
Glutamate receptor interacting proteins 1 and 2 (GRIP1/2) play an important role in regulating synaptic trafficking of AMPA receptor 2/3 (GluA2/3) and synaptic strength. Gain-of-function GRIP1 mutations are implicated in social behavioral deficits in autism. To study mechanisms of Grip1/2-mediated AMPA signaling in the regulation of social behaviors, we performed social behavioral testing on neuron-specific Grip1/2-double knockout (DKO) and wild type (WT) mice that are matched for age, sex, and strain background. We determined the expression profile of key signaling proteins in AMPAR, mGluR, mTOR, and GABA pathways in frontal cortex, striatum, and cerebellum of DKO mice. Compared to WT mice, DKO mice show increased sociability in a modified three-chamber social behavioral test [mean±sem for interaction time in seconds; WT: 44.0±5.0; n=10; DKO: 81.0±9.0; n=9; two factor repeated measures ANOVA: F(1,37)=14.45; p<0.01 and planned t-test; p<0.01] and in a dyadic male-male social interaction test (mean±sem for total time in seconds: sniffing, WT-WT, 18.9±1.1; WT-DKO, 42.5±2.1; t-test: p<0.001; following, WT-WT, 7.7±0.72; WT-DKO,14.4±1.8; t-test: p<0.001). Immunoblot studies identified an increase in phosphorylation at GluA2-Serine 880 (GluA2-pS880) in frontal cortex (mean±sem; WT: 0.69±0.06, n=5; DKO: 0.96±0.06, n=6; t-test; p<0.05) and reduced GABAβ3 expression in striatum (mean±sem; WT: 1.16±0.04, n=4; DKO: 0.95±0.06, n=4; t-test; p<0.05) in DKO mice. GluA2-S880 phosphorylation is known to regulate GluA2synaptic recycling, AMPA signaling strength and plasticity. GABAβ3 has been implicated in the etiology and pathogenesis in autism. These data support an important role of Grip1/2-mediated AMPA signaling in regulating social behaviors and disturbance of glutamate- and GABA-signaling in specialized brain regions in autism-related social behavioral deficits.
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Affiliation(s)
- Mei Han
- McKusick-Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA
| | - Rebeca Mejias
- McKusick-Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA
| | - Shu-Ling Chiu
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA
| | - Rebecca Rose
- McKusick-Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA
| | - Abby Adamczyk
- McKusick-Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA
| | - Richard Huganir
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA
| | - Tao Wang
- McKusick-Nathans Institute of Genetic Medicine and Department of Pediatrics, Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA.
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