Default mode and fronto-parietal network associations with IQ development across childhood in autism / Joshua K. LEE in Journal of Neurodevelopmental Disorders, 14 (2022)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 14 (2022) Titre : Default mode and fronto-parietal network associations with IQ development across childhood in autism Type de document : texte imprimé Auteurs : Joshua K. LEE, Auteur ; An Chuen Billy CHO, Auteur ; Derek S. ANDREWS, Auteur ; Sally OZONOFF, Auteur ; Sally J. ROGERS, Auteur ; David G. AMARAL, Auteur ; Marjorie SOLOMON, Auteur ; Christine Wu NORDAHL, Auteur Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/complications/diagnostic imaging  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Female  Humans  Intellectual Disability/complications  Autism spectrum disorder  Default mode  Fronto-parietal  Iq  Intellectual disability  Longitudinal  MRI  Inc., and Axial Therapeutics. The other authors declare that they have competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Intellectual disability affects approximately one third of individuals with autism spectrum disorder (autism). Yet, a major unresolved neurobiological question is what differentiates autistic individuals with and without intellectual disability. Intelligence quotients (IQs) are highly variable during childhood. We previously identified three subgroups of autistic children with different trajectories of intellectual development from early (2-3½ years) to middle childhood (9-12 years): (a) persistently high: individuals whose IQs remained in the normal range; (b) persistently low: individuals whose IQs remained in the range of intellectual disability (IQ < 70); and (c) changers: individuals whose IQs began in the range of intellectual disability but increased to the normal IQ range. The frontoparietal (FPN) and default mode (DMN) networks have established links to intellectual functioning. Here, we tested whether brain regions within the FPN and DMN differed volumetrically between these IQ trajectory groups in early childhood. METHODS: We conducted multivariate distance matrix regression to examine the brain regions within the FPN (11 regions x 2 hemispheres) and the DMN (12 regions x 2 hemispheres) in 48 persistently high (18 female), 108 persistently low (32 female), and 109 changers (39 female) using structural MRI acquired at baseline. FPN and DMN regions were defined using networks identified in Smith et al. (Proc Natl Acad Sci U S A 106:13040-5, 2009). IQ trajectory groups were defined by IQ measurements from up to three time points spanning early to middle childhood (mean age time 1: 3.2 years; time 2: 5.4 years; time 3: 11.3 years). RESULTS: The changers group exhibited volumetric differences in the DMN compared to both the persistently low and persistently high groups at time 1. However, the persistently high group did not differ from the persistently low group, suggesting that DMN structure may be an early predictor for change in IQ trajectory. In contrast, the persistently high group exhibited differences in the FPN compared to both the persistently low and changers groups, suggesting differences related more to concurrent IQ and the absence of intellectual disability. CONCLUSIONS: Within autism, volumetric differences of brain regions within the DMN in early childhood may differentiate individuals with persistently low IQ from those with low IQ that improves through childhood. Structural differences in brain networks between these three IQ-based subgroups highlight distinct neural underpinnings of these autism sub-phenotypes. En ligne : https://dx.doi.org/10.1186/s11689-022-09460-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 [article] Default mode and fronto-parietal network associations with IQ development across childhood in autism [texte imprimé] / Joshua K. LEE, Auteur ; An Chuen Billy CHO, Auteur ; Derek S. ANDREWS, Auteur ; Sally OZONOFF, Auteur ; Sally J. ROGERS, Auteur ; David G. AMARAL, Auteur ; Marjorie SOLOMON, Auteur ; Christine Wu NORDAHL, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 14 (2022) Mots-clés : Autism Spectrum Disorder/complications/diagnostic imaging  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Female  Humans  Intellectual Disability/complications  Autism spectrum disorder  Default mode  Fronto-parietal  Iq  Intellectual disability  Longitudinal  MRI  Inc., and Axial Therapeutics. The other authors declare that they have competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Intellectual disability affects approximately one third of individuals with autism spectrum disorder (autism). Yet, a major unresolved neurobiological question is what differentiates autistic individuals with and without intellectual disability. Intelligence quotients (IQs) are highly variable during childhood. We previously identified three subgroups of autistic children with different trajectories of intellectual development from early (2-3½ years) to middle childhood (9-12 years): (a) persistently high: individuals whose IQs remained in the normal range; (b) persistently low: individuals whose IQs remained in the range of intellectual disability (IQ < 70); and (c) changers: individuals whose IQs began in the range of intellectual disability but increased to the normal IQ range. The frontoparietal (FPN) and default mode (DMN) networks have established links to intellectual functioning. Here, we tested whether brain regions within the FPN and DMN differed volumetrically between these IQ trajectory groups in early childhood. METHODS: We conducted multivariate distance matrix regression to examine the brain regions within the FPN (11 regions x 2 hemispheres) and the DMN (12 regions x 2 hemispheres) in 48 persistently high (18 female), 108 persistently low (32 female), and 109 changers (39 female) using structural MRI acquired at baseline. FPN and DMN regions were defined using networks identified in Smith et al. (Proc Natl Acad Sci U S A 106:13040-5, 2009). IQ trajectory groups were defined by IQ measurements from up to three time points spanning early to middle childhood (mean age time 1: 3.2 years; time 2: 5.4 years; time 3: 11.3 years). RESULTS: The changers group exhibited volumetric differences in the DMN compared to both the persistently low and persistently high groups at time 1. However, the persistently high group did not differ from the persistently low group, suggesting that DMN structure may be an early predictor for change in IQ trajectory. In contrast, the persistently high group exhibited differences in the FPN compared to both the persistently low and changers groups, suggesting differences related more to concurrent IQ and the absence of intellectual disability. CONCLUSIONS: Within autism, volumetric differences of brain regions within the DMN in early childhood may differentiate individuals with persistently low IQ from those with low IQ that improves through childhood. Structural differences in brain networks between these three IQ-based subgroups highlight distinct neural underpinnings of these autism sub-phenotypes. En ligne : https://dx.doi.org/10.1186/s11689-022-09460-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574

A diffusion-weighted imaging tract-based spatial statistics study of autism spectrum disorder in preschool-aged children / Derek Sayre ANDREWS in Journal of Neurodevelopmental Disorders, 11-1 (December 2019)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 11-1 (December 2019) . - 32 Titre : A diffusion-weighted imaging tract-based spatial statistics study of autism spectrum disorder in preschool-aged children Type de document : texte imprimé Auteurs : Derek Sayre ANDREWS, Auteur ; Joshua K. LEE, Auteur ; Marjorie SOLOMON, Auteur ; Sally J. ROGERS, Auteur ; David G. AMARAL, Auteur ; Christine Wu NORDAHL, Auteur Article en page(s) : 32 Langues : Anglais (eng) Mots-clés : Anisotropy  Autism Spectrum Disorder/diagnostic imaging/pathology  Brain/diagnostic imaging/pathology  Child, Preschool  Cross-Sectional Studies  Diffusion Magnetic Resonance Imaging  Female  Humans  Image Processing, Computer-Assisted  Male  Sex Characteristics  White Matter/diagnostic imaging/pathology Index. décimale : PER Périodiques Résumé : BACKGROUND: The core symptoms of autism spectrum disorder (ASD) are widely theorized to result from altered brain connectivity. Diffusion-weighted magnetic resonance imaging (DWI) has been a versatile method for investigating underlying microstructural properties of white matter (WM) in ASD. Despite phenotypic and etiological heterogeneity, DWI studies in majority male samples of older children, adolescents, and adults with ASD have largely reported findings of decreased fractional anisotropy (FA) across several commissural, projection, and association fiber tracts. However, studies in preschool-aged children (i.e., < 30-40 months) suggest individuals with ASD have increased measures of WM FA earlier in development. METHODS: We analyzed 127 individuals with ASD (85♂, 42♀) and 54 typically developing (TD) controls (42♂, 26♀), aged 25.1-49.6 months. Voxel-wise effects of ASD diagnosis, sex, age, and their interaction on DWI measures of FA, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were investigated using tract-based spatial statistics (TBSS) while controlling mean absolute and relative motion. RESULTS: Compared to TD controls, males and females with ASD had significantly increased measures of FA in eight clusters (threshold-free cluster enhancement p < 0.05) that incorporated several WM tracts including regions of the genu, body, and splenium of the corpus callosum, inferior frontal-occipital fasciculi, inferior and superior longitudinal fasciculi, middle and superior cerebellar peduncles, and corticospinal tract. A diagnosis by sex interaction was observed in measures of AD across six significant clusters incorporating areas of the body, genu, and splenium of the corpus collosum. In these tracts, females with ASD showed increased AD compared to TD females, while males with ASD showed decreased AD compared to TD males. CONCLUSIONS: The current findings support growing evidence that preschool-aged children with ASD have atypical measures of WM microstructure that appear to differ in directionality from alterations observed in older individuals with the condition. To our knowledge, this study represents the largest sample of preschool-aged females with ASD to be evaluated using DWI. Microstructural differences associated with ASD largely overlapped between sexes. However, differential relationships of AD measures indicate that sex likely modulates ASD neuroanatomical phenotypes. Further longitudinal study is needed to confirm and quantify the developmental relationship of WM structure in ASD. En ligne : https://dx.doi.org/10.1186/s11689-019-9291-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=573 [article] A diffusion-weighted imaging tract-based spatial statistics study of autism spectrum disorder in preschool-aged children [texte imprimé] / Derek Sayre ANDREWS, Auteur ; Joshua K. LEE, Auteur ; Marjorie SOLOMON, Auteur ; Sally J. ROGERS, Auteur ; David G. AMARAL, Auteur ; Christine Wu NORDAHL, Auteur . - 32. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 11-1 (December 2019) . - 32 Mots-clés : Anisotropy  Autism Spectrum Disorder/diagnostic imaging/pathology  Brain/diagnostic imaging/pathology  Child, Preschool  Cross-Sectional Studies  Diffusion Magnetic Resonance Imaging  Female  Humans  Image Processing, Computer-Assisted  Male  Sex Characteristics  White Matter/diagnostic imaging/pathology Index. décimale : PER Périodiques Résumé : BACKGROUND: The core symptoms of autism spectrum disorder (ASD) are widely theorized to result from altered brain connectivity. Diffusion-weighted magnetic resonance imaging (DWI) has been a versatile method for investigating underlying microstructural properties of white matter (WM) in ASD. Despite phenotypic and etiological heterogeneity, DWI studies in majority male samples of older children, adolescents, and adults with ASD have largely reported findings of decreased fractional anisotropy (FA) across several commissural, projection, and association fiber tracts. However, studies in preschool-aged children (i.e., < 30-40 months) suggest individuals with ASD have increased measures of WM FA earlier in development. METHODS: We analyzed 127 individuals with ASD (85♂, 42♀) and 54 typically developing (TD) controls (42♂, 26♀), aged 25.1-49.6 months. Voxel-wise effects of ASD diagnosis, sex, age, and their interaction on DWI measures of FA, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were investigated using tract-based spatial statistics (TBSS) while controlling mean absolute and relative motion. RESULTS: Compared to TD controls, males and females with ASD had significantly increased measures of FA in eight clusters (threshold-free cluster enhancement p < 0.05) that incorporated several WM tracts including regions of the genu, body, and splenium of the corpus callosum, inferior frontal-occipital fasciculi, inferior and superior longitudinal fasciculi, middle and superior cerebellar peduncles, and corticospinal tract. A diagnosis by sex interaction was observed in measures of AD across six significant clusters incorporating areas of the body, genu, and splenium of the corpus collosum. In these tracts, females with ASD showed increased AD compared to TD females, while males with ASD showed decreased AD compared to TD males. CONCLUSIONS: The current findings support growing evidence that preschool-aged children with ASD have atypical measures of WM microstructure that appear to differ in directionality from alterations observed in older individuals with the condition. To our knowledge, this study represents the largest sample of preschool-aged females with ASD to be evaluated using DWI. Microstructural differences associated with ASD largely overlapped between sexes. However, differential relationships of AD measures indicate that sex likely modulates ASD neuroanatomical phenotypes. Further longitudinal study is needed to confirm and quantify the developmental relationship of WM structure in ASD. En ligne : https://dx.doi.org/10.1186/s11689-019-9291-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=573

Language Abilities Associated With Household Income and Parental Education Level in Autistic Children During Early Childhood / Hosanna KIM in Autism Research, 19-5 (May 2026)  

Public ISBD [article]  inAutism Research > 19-5 (May 2026) . - p.e70239 Titre : Language Abilities Associated With Household Income and Parental Education Level in Autistic Children During Early Childhood Type de document : texte imprimé Auteurs : Hosanna KIM, Auteur ; Andrew DAKOPOLOS, Auteur ; Danielle HARVEY, Auteur ; Olivia SURGENT, Auteur ; Brianna HEATH, Auteur ; David G. AMARAL, Auteur ; Sally J. ROGERS, Auteur ; Marjorie SOLOMON, Auteur ; Christine Wu NORDAHL, Auteur ; Derek Sayre ANDREWS, Auteur Article en page(s) : p.e70239 Langues : Anglais (eng) Mots-clés : autism  early childhood  household income  language  socioeconomic factors Index. décimale : PER Périodiques Résumé : ABSTRACT Socioeconomic factors, such as poverty, can significantly impact developmental outcomes. While well-studied in neurotypical children, limited research exists on the impact of these factors on autistic children's development, especially in early childhood. We examined the relationships between two socioeconomic factors, household income and parental education, with cognitive and behavioral profiles in a sample of 308 autistic children aged 2?3.5?years. We found that higher household income and parental education level were significantly associated with higher language abilities and lower externalizing behaviors. Moreover, autistic children from families with below-average income had lower language abilities compared to those from families with average or above-average income. The effects of household income and parental education level remained significant even after controlling for one another. Our findings suggest that lower parental education level and household income, particularly among families from the lowest economic backgrounds, significantly impact language abilities in young autistic children and may contribute to the development of externalizing behaviors, a pattern similar to that observed in non-autistic children. Given that early language abilities are predictive of adulthood outcomes in autism, these findings underscore the importance of supporting socioeconomic stability in the first two to three years of life for autistic children and providing appropriate early interventions to promote language development. En ligne : https://doi.org/10.1002/aur.70239 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587 [article] Language Abilities Associated With Household Income and Parental Education Level in Autistic Children During Early Childhood [texte imprimé] / Hosanna KIM, Auteur ; Andrew DAKOPOLOS, Auteur ; Danielle HARVEY, Auteur ; Olivia SURGENT, Auteur ; Brianna HEATH, Auteur ; David G. AMARAL, Auteur ; Sally J. ROGERS, Auteur ; Marjorie SOLOMON, Auteur ; Christine Wu NORDAHL, Auteur ; Derek Sayre ANDREWS, Auteur . - p.e70239. Langues : Anglais (eng) in Autism Research > 19-5 (May 2026) . - p.e70239 Mots-clés : autism  early childhood  household income  language  socioeconomic factors Index. décimale : PER Périodiques Résumé : ABSTRACT Socioeconomic factors, such as poverty, can significantly impact developmental outcomes. While well-studied in neurotypical children, limited research exists on the impact of these factors on autistic children's development, especially in early childhood. We examined the relationships between two socioeconomic factors, household income and parental education, with cognitive and behavioral profiles in a sample of 308 autistic children aged 2?3.5?years. We found that higher household income and parental education level were significantly associated with higher language abilities and lower externalizing behaviors. Moreover, autistic children from families with below-average income had lower language abilities compared to those from families with average or above-average income. The effects of household income and parental education level remained significant even after controlling for one another. Our findings suggest that lower parental education level and household income, particularly among families from the lowest economic backgrounds, significantly impact language abilities in young autistic children and may contribute to the development of externalizing behaviors, a pattern similar to that observed in non-autistic children. Given that early language abilities are predictive of adulthood outcomes in autism, these findings underscore the importance of supporting socioeconomic stability in the first two to three years of life for autistic children and providing appropriate early interventions to promote language development. En ligne : https://doi.org/10.1002/aur.70239 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587

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