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Auteur Christine ECKER |
Documents disponibles écrits par cet auteur (18)
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The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings / Caroline GURR ; Johanna LEYHAUSEN ; Hanna SEELEMEYER ; Anke BLETSCH ; Tim SCHAEFER ; Charlotte M. PRETZSCH ; Bethany OAKLEY ; Eva LOTH ; Dorothea L. FLORIS ; Jan K. BUITELAAR ; Christian F. BECKMANN ; Tobias BANASCHEWSKI ; Tony CHARMAN ; Emily J. H. JONES ; Julian TILLMANN ; Chris H CHATHAM ; Thomas BOURGERON ; EU-AIMS LEAP Group ; Declan G. M. MURPHY ; Christine ECKER in Molecular Autism, 14 (2023)
[article]
Titre : The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings Type de document : Texte imprimé et/ou numérique Auteurs : Caroline GURR, Auteur ; Johanna LEYHAUSEN, Auteur ; Hanna SEELEMEYER, Auteur ; Anke BLETSCH, Auteur ; Tim SCHAEFER, Auteur ; Charlotte M. PRETZSCH, Auteur ; Bethany OAKLEY, Auteur ; Eva LOTH, Auteur ; Dorothea L. FLORIS, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Tony CHARMAN, Auteur ; Emily J. H. JONES, Auteur ; Julian TILLMANN, Auteur ; Chris H CHATHAM, Auteur ; Thomas BOURGERON, Auteur ; EU-AIMS LEAP Group, Auteur ; Declan G. M. MURPHY, Auteur ; Christine ECKER, Auteur Article en page(s) : 36 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1186/s13229-023-00568-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513
in Molecular Autism > 14 (2023) . - 36 p.[article] The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings [Texte imprimé et/ou numérique] / Caroline GURR, Auteur ; Johanna LEYHAUSEN, Auteur ; Hanna SEELEMEYER, Auteur ; Anke BLETSCH, Auteur ; Tim SCHAEFER, Auteur ; Charlotte M. PRETZSCH, Auteur ; Bethany OAKLEY, Auteur ; Eva LOTH, Auteur ; Dorothea L. FLORIS, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Tony CHARMAN, Auteur ; Emily J. H. JONES, Auteur ; Julian TILLMANN, Auteur ; Chris H CHATHAM, Auteur ; Thomas BOURGERON, Auteur ; EU-AIMS LEAP Group, Auteur ; Declan G. M. MURPHY, Auteur ; Christine ECKER, Auteur . - 36 p.
Langues : Anglais (eng)
in Molecular Autism > 14 (2023) . - 36 p.
Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1186/s13229-023-00568-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting / Christine ECKER in Autism, 21-1 (January 2017)
[article]
Titre : The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting Type de document : Texte imprimé et/ou numérique Auteurs : Christine ECKER, Auteur Article en page(s) : p.18-28 Langues : Anglais (eng) Mots-clés : autism spectrum disorder biomarker brain anatomy neurodevelopment structural neuroimaging Index. décimale : PER Périodiques Résumé : Autism spectrum disorder is a complex neurodevelopmental disorder, which is accompanied by differences in brain anatomy, functioning and brain connectivity. Due to its neurodevelopmental character, and the large phenotypic heterogeneity among individuals on the autism spectrum, the neurobiology of autism spectrum disorder is inherently difficult to describe. Nevertheless, significant progress has been made in characterizing the neuroanatomical underpinnings of autism spectrum disorder across the human life span, and in identifying the molecular pathways that may be affected in autism spectrum disorder. Moreover, novel methodological frameworks for analyzing neuroimaging data are emerging that make it possible to characterize the neuroanatomy of autism spectrum disorder on the case level, and to stratify individuals based on their individual phenotypic make up. While these approaches are increasingly more often employed in the research setting, their applicability in the clinical setting remains a vision for the future. The aim of the current review is to (1) provide a general overview of recent structural neuroimaging findings examining the neuroanatomy of autism spectrum disorder across the human life span, and in males and females with the condition, (2) highlight potential neuroimaging (bio)markers that may in the future be used for the stratification of autism spectrum disorder individuals into biologically homogeneous subgroups and (3) inform treatment and intervention strategies. En ligne : http://dx.doi.org/10.1177/1362361315627136 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297
in Autism > 21-1 (January 2017) . - p.18-28[article] The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting [Texte imprimé et/ou numérique] / Christine ECKER, Auteur . - p.18-28.
Langues : Anglais (eng)
in Autism > 21-1 (January 2017) . - p.18-28
Mots-clés : autism spectrum disorder biomarker brain anatomy neurodevelopment structural neuroimaging Index. décimale : PER Périodiques Résumé : Autism spectrum disorder is a complex neurodevelopmental disorder, which is accompanied by differences in brain anatomy, functioning and brain connectivity. Due to its neurodevelopmental character, and the large phenotypic heterogeneity among individuals on the autism spectrum, the neurobiology of autism spectrum disorder is inherently difficult to describe. Nevertheless, significant progress has been made in characterizing the neuroanatomical underpinnings of autism spectrum disorder across the human life span, and in identifying the molecular pathways that may be affected in autism spectrum disorder. Moreover, novel methodological frameworks for analyzing neuroimaging data are emerging that make it possible to characterize the neuroanatomy of autism spectrum disorder on the case level, and to stratify individuals based on their individual phenotypic make up. While these approaches are increasingly more often employed in the research setting, their applicability in the clinical setting remains a vision for the future. The aim of the current review is to (1) provide a general overview of recent structural neuroimaging findings examining the neuroanatomy of autism spectrum disorder across the human life span, and in males and females with the condition, (2) highlight potential neuroimaging (bio)markers that may in the future be used for the stratification of autism spectrum disorder individuals into biologically homogeneous subgroups and (3) inform treatment and intervention strategies. En ligne : http://dx.doi.org/10.1177/1362361315627136 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 The Neuropsychology of Male Adults With High-Functioning Autism or Asperger Syndrome / C. Ellie WILSON in Autism Research, 7-5 (October 2014)
[article]
Titre : The Neuropsychology of Male Adults With High-Functioning Autism or Asperger Syndrome Type de document : Texte imprimé et/ou numérique Auteurs : C. Ellie WILSON, Auteur ; Francesca HAPPE, Auteur ; Sally J. WHEELWRIGHT, Auteur ; Christine ECKER, Auteur ; Michael V. LOMBARDO, Auteur ; Patrick JOHNSTON, Auteur ; Eileen DALY, Auteur ; Clodagh M. MURPHY, Auteur ; Debbie SPAIN, Auteur ; Meng-Chuan LAI, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Disa A. SAUTER, Auteur ; CONSORTIUM MRC AIMS,, Auteur ; Simon BARON-COHEN, Auteur ; Declan G. M. MURPHY, Auteur Article en page(s) : p.568-581 Langues : Anglais (eng) Mots-clés : autism spectrum disorder cognitive profiles autistic symptomatology comorbid psychopathology support vector machine classification autistic subtypes Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is diagnosed on the basis of behavioral symptoms, but cognitive abilities may also be useful in characterizing individuals with ASD. One hundred seventy-eight high-functioning male adults, half with ASD and half without, completed tasks assessing IQ, a broad range of cognitive skills, and autistic and comorbid symptomatology. The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups. Second, to establish whether cognitive skill level was correlated with degree of autistic symptom severity, and third, whether cognitive skill level was correlated with degree of comorbid psychopathology. Fourth, cognitive characteristics of individuals with Asperger Syndrome (AS) and high-functioning autism (HFA) were compared. After controlling for IQ, ASD and control groups scored significantly differently on tasks of social cognition, motor performance, and executive function (P's??0.05). To investigate cognitive profiles, 12 variables were entered into a support vector machine (SVM), which achieved good classification accuracy (81%) at a level significantly better than chance (P??0.0001). After correcting for multiple correlations, there were no significant associations between cognitive performance and severity of either autistic or comorbid symptomatology. There were no significant differences between AS and HFA groups on the cognitive tasks. Cognitive classification models could be a useful aid to the diagnostic process when used in conjunction with other data sources—including clinical history. Autism Res 2014, 7: 568–581. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1394 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241
in Autism Research > 7-5 (October 2014) . - p.568-581[article] The Neuropsychology of Male Adults With High-Functioning Autism or Asperger Syndrome [Texte imprimé et/ou numérique] / C. Ellie WILSON, Auteur ; Francesca HAPPE, Auteur ; Sally J. WHEELWRIGHT, Auteur ; Christine ECKER, Auteur ; Michael V. LOMBARDO, Auteur ; Patrick JOHNSTON, Auteur ; Eileen DALY, Auteur ; Clodagh M. MURPHY, Auteur ; Debbie SPAIN, Auteur ; Meng-Chuan LAI, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Disa A. SAUTER, Auteur ; CONSORTIUM MRC AIMS,, Auteur ; Simon BARON-COHEN, Auteur ; Declan G. M. MURPHY, Auteur . - p.568-581.
Langues : Anglais (eng)
in Autism Research > 7-5 (October 2014) . - p.568-581
Mots-clés : autism spectrum disorder cognitive profiles autistic symptomatology comorbid psychopathology support vector machine classification autistic subtypes Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is diagnosed on the basis of behavioral symptoms, but cognitive abilities may also be useful in characterizing individuals with ASD. One hundred seventy-eight high-functioning male adults, half with ASD and half without, completed tasks assessing IQ, a broad range of cognitive skills, and autistic and comorbid symptomatology. The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups. Second, to establish whether cognitive skill level was correlated with degree of autistic symptom severity, and third, whether cognitive skill level was correlated with degree of comorbid psychopathology. Fourth, cognitive characteristics of individuals with Asperger Syndrome (AS) and high-functioning autism (HFA) were compared. After controlling for IQ, ASD and control groups scored significantly differently on tasks of social cognition, motor performance, and executive function (P's??0.05). To investigate cognitive profiles, 12 variables were entered into a support vector machine (SVM), which achieved good classification accuracy (81%) at a level significantly better than chance (P??0.0001). After correcting for multiple correlations, there were no significant associations between cognitive performance and severity of either autistic or comorbid symptomatology. There were no significant differences between AS and HFA groups on the cognitive tasks. Cognitive classification models could be a useful aid to the diagnostic process when used in conjunction with other data sources—including clinical history. Autism Res 2014, 7: 568–581. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1394 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241