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Auteur Marc L. SEAL
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Documents disponibles écrits par cet auteur (3)
Faire une suggestion Affiner la rechercheAutism spectrum disorders: Neuroimaging findings from systematic reviews / Emmanuel Peng Kiat PUA in Research in Autism Spectrum Disorders, 34 (February 2017)
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Titre : Autism spectrum disorders: Neuroimaging findings from systematic reviews Type de document : texte imprimé Auteurs : Emmanuel Peng Kiat PUA, Auteur ; Stephen C. BOWDEN, Auteur ; Marc L. SEAL, Auteur Article en page(s) : p.28-33 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders Brain structure Brain function Brain connectivity Neuroimaging Magnetic resonance imaging Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorders (ASD) are a cluster of neurodevelopmental conditions associated with core deficits in social communication, social interaction, and restricted and repetitive behaviours. Current evidence suggests a complex interaction between genetic and environmental factors that underlie the heterogeneity of neuroanatomy and clinical symptomatology of ASD across a spectrum. Although abnormalities in brain structure and function have been implicated in the neurodevelopmental trajectory of ASD, the search for definitive neuroimaging markers remains obscured by inconsistent or incompatible findings. Specifically, discrepancies between independent studies impede reliable identification of the nature and form of atypical alterations in grey-matter structural morphometry and intrinsic functional networks in ASD. This review aims to illustrate the heterogeneity in ASD neuroimaging literature by comparing systematic reviews and meta-analyses of neuroimaging investigations in ASD over the last several decades, with particular emphasis on structural morphometry, structural connectivity and resting-state intrinsic connectivity techniques. Given the unique challenges in ASD research, standardized methodologies to validate potential neuroimaging markers will be an important step towards advancing clinical and research methods to investigate complex aetiological mechanisms and risk factors underlying ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.11.005 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298
in Research in Autism Spectrum Disorders > 34 (February 2017) . - p.28-33[article] Autism spectrum disorders: Neuroimaging findings from systematic reviews [texte imprimé] / Emmanuel Peng Kiat PUA, Auteur ; Stephen C. BOWDEN, Auteur ; Marc L. SEAL, Auteur . - p.28-33.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 34 (February 2017) . - p.28-33
Mots-clés : Autism spectrum disorders Brain structure Brain function Brain connectivity Neuroimaging Magnetic resonance imaging Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorders (ASD) are a cluster of neurodevelopmental conditions associated with core deficits in social communication, social interaction, and restricted and repetitive behaviours. Current evidence suggests a complex interaction between genetic and environmental factors that underlie the heterogeneity of neuroanatomy and clinical symptomatology of ASD across a spectrum. Although abnormalities in brain structure and function have been implicated in the neurodevelopmental trajectory of ASD, the search for definitive neuroimaging markers remains obscured by inconsistent or incompatible findings. Specifically, discrepancies between independent studies impede reliable identification of the nature and form of atypical alterations in grey-matter structural morphometry and intrinsic functional networks in ASD. This review aims to illustrate the heterogeneity in ASD neuroimaging literature by comparing systematic reviews and meta-analyses of neuroimaging investigations in ASD over the last several decades, with particular emphasis on structural morphometry, structural connectivity and resting-state intrinsic connectivity techniques. Given the unique challenges in ASD research, standardized methodologies to validate potential neuroimaging markers will be an important step towards advancing clinical and research methods to investigate complex aetiological mechanisms and risk factors underlying ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.11.005 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298 Neonatal brain abnormalities associated with autism spectrum disorder in children born very preterm / Alexandra M. URE in Autism Research, 9-5 (May 2016)
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Titre : Neonatal brain abnormalities associated with autism spectrum disorder in children born very preterm Type de document : texte imprimé Auteurs : Alexandra M. URE, Auteur ; Karli TREYVAUD, Auteur ; Deanne K. THOMPSON, Auteur ; Leona PASCOE, Auteur ; Gehan ROBERTS, Auteur ; Katherine J. LEE, Auteur ; Marc L. SEAL, Auteur ; Elisabeth NORTHAM, Auteur ; Jeanie L. CHEONG, Auteur ; Rod W. HUNT, Auteur ; Terrie E. INDER, Auteur ; Lex W. DOYLE, Auteur ; Peter J. ANDERSON, Auteur Article en page(s) : p.543-552 Langues : Anglais (eng) Mots-clés : preterm birth brain abnormality autism spectrum disorder magnetic resonance imaging neonatal imaging Index. décimale : PER Périodiques Résumé : Very preterm (VP) survivors are at increased risk of autism spectrum disorder (ASD) compared with term-born children. This study explored whether neonatal magnetic resonance (MR) brain features differed in VP children with and without ASD at 7 years. One hundred and seventy-two VP children (<30 weeks' gestation or <1250 g birth weight) underwent structural brain MR scans at term equivalent age (TEA; 40 weeks' gestation ±2 weeks) and were assessed for ASD at 7 years of age. The presence and severity of white matter, cortical gray matter, deep nuclear gray matter, and cerebellar abnormalities were assessed, and total and regional brain volumes were measured. ASD was diagnosed using a standardized parent report diagnostic interview and confirmed via an independent assessment. Eight VP children (4.7%) were diagnosed with ASD. Children with ASD had more cystic lesions in the cortical white matter at TEA compared with those without ASD (odds ratio [OR] 8.7, 95% confidence interval [CI] 1.5, 51.3, P = 0.02). There was also some evidence for smaller cerebellar volumes in children with ASD compared with those without ASD (OR = 0.82, CI = 0.66, 1.00, P = 0.06). Overall, the results suggest that VP children with ASD have different brain structure in the neonatal period compared with those who do not have ASD. En ligne : http://dx.doi.org/10.1002/aur.1558 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=289
in Autism Research > 9-5 (May 2016) . - p.543-552[article] Neonatal brain abnormalities associated with autism spectrum disorder in children born very preterm [texte imprimé] / Alexandra M. URE, Auteur ; Karli TREYVAUD, Auteur ; Deanne K. THOMPSON, Auteur ; Leona PASCOE, Auteur ; Gehan ROBERTS, Auteur ; Katherine J. LEE, Auteur ; Marc L. SEAL, Auteur ; Elisabeth NORTHAM, Auteur ; Jeanie L. CHEONG, Auteur ; Rod W. HUNT, Auteur ; Terrie E. INDER, Auteur ; Lex W. DOYLE, Auteur ; Peter J. ANDERSON, Auteur . - p.543-552.
Langues : Anglais (eng)
in Autism Research > 9-5 (May 2016) . - p.543-552
Mots-clés : preterm birth brain abnormality autism spectrum disorder magnetic resonance imaging neonatal imaging Index. décimale : PER Périodiques Résumé : Very preterm (VP) survivors are at increased risk of autism spectrum disorder (ASD) compared with term-born children. This study explored whether neonatal magnetic resonance (MR) brain features differed in VP children with and without ASD at 7 years. One hundred and seventy-two VP children (<30 weeks' gestation or <1250 g birth weight) underwent structural brain MR scans at term equivalent age (TEA; 40 weeks' gestation ±2 weeks) and were assessed for ASD at 7 years of age. The presence and severity of white matter, cortical gray matter, deep nuclear gray matter, and cerebellar abnormalities were assessed, and total and regional brain volumes were measured. ASD was diagnosed using a standardized parent report diagnostic interview and confirmed via an independent assessment. Eight VP children (4.7%) were diagnosed with ASD. Children with ASD had more cystic lesions in the cortical white matter at TEA compared with those without ASD (odds ratio [OR] 8.7, 95% confidence interval [CI] 1.5, 51.3, P = 0.02). There was also some evidence for smaller cerebellar volumes in children with ASD compared with those without ASD (OR = 0.82, CI = 0.66, 1.00, P = 0.06). Overall, the results suggest that VP children with ASD have different brain structure in the neonatal period compared with those who do not have ASD. En ligne : http://dx.doi.org/10.1002/aur.1558 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=289 A systematic review of brain MRI findings in monogenic disorders strongly associated with autism spectrum disorder / Veronica FREWER in Journal of Child Psychology and Psychiatry, 62-11 (November 2021)
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[article]
Titre : A systematic review of brain MRI findings in monogenic disorders strongly associated with autism spectrum disorder Type de document : texte imprimé Auteurs : Veronica FREWER, Auteur ; Courtney P. GILCHRIST, Auteur ; Simonne E. COLLINS, Auteur ; Katrina WILLIAMS, Auteur ; Marc L. SEAL, Auteur ; Richard J. LEVENTER, Auteur ; David J. AMOR, Auteur Article en page(s) : p.1339-1352 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging/genetics Autistic Disorder Brain/diagnostic imaging Humans Magnetic Resonance Imaging Neuroimaging Autism spectrum disorder Mri magnetic resonance imaging monogenic disorders Index. décimale : PER Périodiques Résumé : BACKGROUND: Research on monogenic forms of autism spectrum disorder (autism) can inform our understanding of genetic contributions to the autism phenotype; yet, there is much to be learned about the pathways from gene to brain structure to behavior. This systematic review summarizes and evaluates research on brain magnetic resonance imaging (MRI) findings in monogenic conditions that have strong association with autism. This will improve understanding of the impact of genetic variability on brain structure and related behavioral traits in autism. METHODS: The search strategy for this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias (ROB) assessment was completed on included studies using the Newcastle-Ottawa Scales. RESULTS: Of 4,287 studies screened, 69 were included pertaining to 13 of the top 20 genes with the strongest association with autism. The greatest number of studies related to individuals with PTEN variants and autism. Brain MRI abnormalities were reported for 12 of the 13 genes studied, and in 51.7% of participants across all 13 genes, including 100% of participants with ARID1B variants. Specific MRI findings were highly variable, with no clear patterns emerging within or between the 13 genes, although white matter abnormalities were the most common. Few studies reported specific details about methods for acquisition and processing of brain MRI, and descriptors for brain abnormalities were variable. ROB assessment indicated high ROB for all studies, largely due to small sample sizes and lack of comparison groups. CONCLUSIONS: Brain abnormalities are common in this population of individuals, in particular, children; however, a range of different brain abnormalities were reported within and between genes. Directions for future neuroimaging research in monogenic autism are suggested. En ligne : http://dx.doi.org/10.1111/jcpp.13510 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-11 (November 2021) . - p.1339-1352[article] A systematic review of brain MRI findings in monogenic disorders strongly associated with autism spectrum disorder [texte imprimé] / Veronica FREWER, Auteur ; Courtney P. GILCHRIST, Auteur ; Simonne E. COLLINS, Auteur ; Katrina WILLIAMS, Auteur ; Marc L. SEAL, Auteur ; Richard J. LEVENTER, Auteur ; David J. AMOR, Auteur . - p.1339-1352.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-11 (November 2021) . - p.1339-1352
Mots-clés : Autism Spectrum Disorder/diagnostic imaging/genetics Autistic Disorder Brain/diagnostic imaging Humans Magnetic Resonance Imaging Neuroimaging Autism spectrum disorder Mri magnetic resonance imaging monogenic disorders Index. décimale : PER Périodiques Résumé : BACKGROUND: Research on monogenic forms of autism spectrum disorder (autism) can inform our understanding of genetic contributions to the autism phenotype; yet, there is much to be learned about the pathways from gene to brain structure to behavior. This systematic review summarizes and evaluates research on brain magnetic resonance imaging (MRI) findings in monogenic conditions that have strong association with autism. This will improve understanding of the impact of genetic variability on brain structure and related behavioral traits in autism. METHODS: The search strategy for this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias (ROB) assessment was completed on included studies using the Newcastle-Ottawa Scales. RESULTS: Of 4,287 studies screened, 69 were included pertaining to 13 of the top 20 genes with the strongest association with autism. The greatest number of studies related to individuals with PTEN variants and autism. Brain MRI abnormalities were reported for 12 of the 13 genes studied, and in 51.7% of participants across all 13 genes, including 100% of participants with ARID1B variants. Specific MRI findings were highly variable, with no clear patterns emerging within or between the 13 genes, although white matter abnormalities were the most common. Few studies reported specific details about methods for acquisition and processing of brain MRI, and descriptors for brain abnormalities were variable. ROB assessment indicated high ROB for all studies, largely due to small sample sizes and lack of comparison groups. CONCLUSIONS: Brain abnormalities are common in this population of individuals, in particular, children; however, a range of different brain abnormalities were reported within and between genes. Directions for future neuroimaging research in monogenic autism are suggested. En ligne : http://dx.doi.org/10.1111/jcpp.13510 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

