A 3D approach to understanding heterogeneity in early developing autisms / Veronica MANDELLI in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 41p. Titre : A 3D approach to understanding heterogeneity in early developing autisms Type de document : texte imprimé Auteurs : Veronica MANDELLI, Auteur ; Ines SEVERINO, Auteur ; Lisa T. EYLER, Auteur ; Karen PIERCE, Auteur ; Eric COURCHESNE, Auteur ; Michael V. LOMBARDO, Auteur Article en page(s) : 41p. Langues : Anglais (eng) Mots-clés : Humans  Child, Preschool  Autistic Disorder/diagnostic imaging/diagnosis  Female  Male  Child  Phenotype  Imaging, Three-Dimensional  Clustering  Gene expression  Stratification  Subtypes  fMRI  for the Collection in this journal entitled 'Neuroimaging in Autism Spectrum  Disorders'. All other authors have no competing interests to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Phenotypic heterogeneity in early language, intellectual, motor, and adaptive functioning (LIMA) features are amongst the most striking features that distinguish different types of autistic individuals. Yet the current diagnostic criteria uses a single label of autism and implicitly emphasizes what individuals have in common as core social-communicative and restricted repetitive behavior difficulties. Subtype labels based on the non-core LIMA features may help to more meaningfully distinguish types of autisms with differing developmental paths and differential underlying biology. METHODS: Unsupervised data-driven subtypes were identified using stability-based relative clustering validation on publicly available Mullen Scales of Early Learning (MSEL) and Vineland Adaptive Behavior Scales (VABS) data (n = 615; age = 24-68 months) from the National Institute of Mental Health Data Archive (NDA). Differential developmental trajectories between subtypes were tested on longitudinal data from NDA and from an independent in-house dataset from UCSD. A subset of the UCSD dataset was also tested for subtype differences in functional and structural neuroimaging phenotypes and relationships with blood gene expression. The current subtyping model was also compared to early language outcome subtypes derived from past work. RESULTS: Two autism subtypes can be identified based on early phenotypic LIMA features. These data-driven subtypes are robust in the population and can be identified in independent data with 98% accuracy. The subtypes can be described as Type I versus Type II autisms differentiated by relatively high versus low scores on LIMA features. These two types of autisms are also distinguished by different developmental trajectories over the first decade of life. Finally, these two types of autisms reveal striking differences in functional and structural neuroimaging phenotypes and their relationships with gene expression and may highlight unique biological mechanisms. LIMITATIONS: Sample sizes for the neuroimaging and gene expression dataset are relatively small and require further independent replication. The current work is also limited to subtyping based on MSEL and VABS phenotypic measures. CONCLUSIONS: This work emphasizes the potential importance of stratifying autism by a Type I versus Type II distinction focused on LIMA features and which may be of high prognostic and biological significance. En ligne : https://dx.doi.org/10.1186/s13229-024-00613-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] A 3D approach to understanding heterogeneity in early developing autisms [texte imprimé] / Veronica MANDELLI, Auteur ; Ines SEVERINO, Auteur ; Lisa T. EYLER, Auteur ; Karen PIERCE, Auteur ; Eric COURCHESNE, Auteur ; Michael V. LOMBARDO, Auteur . - 41p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 41p. Mots-clés : Humans  Child, Preschool  Autistic Disorder/diagnostic imaging/diagnosis  Female  Male  Child  Phenotype  Imaging, Three-Dimensional  Clustering  Gene expression  Stratification  Subtypes  fMRI  for the Collection in this journal entitled 'Neuroimaging in Autism Spectrum  Disorders'. All other authors have no competing interests to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Phenotypic heterogeneity in early language, intellectual, motor, and adaptive functioning (LIMA) features are amongst the most striking features that distinguish different types of autistic individuals. Yet the current diagnostic criteria uses a single label of autism and implicitly emphasizes what individuals have in common as core social-communicative and restricted repetitive behavior difficulties. Subtype labels based on the non-core LIMA features may help to more meaningfully distinguish types of autisms with differing developmental paths and differential underlying biology. METHODS: Unsupervised data-driven subtypes were identified using stability-based relative clustering validation on publicly available Mullen Scales of Early Learning (MSEL) and Vineland Adaptive Behavior Scales (VABS) data (n = 615; age = 24-68 months) from the National Institute of Mental Health Data Archive (NDA). Differential developmental trajectories between subtypes were tested on longitudinal data from NDA and from an independent in-house dataset from UCSD. A subset of the UCSD dataset was also tested for subtype differences in functional and structural neuroimaging phenotypes and relationships with blood gene expression. The current subtyping model was also compared to early language outcome subtypes derived from past work. RESULTS: Two autism subtypes can be identified based on early phenotypic LIMA features. These data-driven subtypes are robust in the population and can be identified in independent data with 98% accuracy. The subtypes can be described as Type I versus Type II autisms differentiated by relatively high versus low scores on LIMA features. These two types of autisms are also distinguished by different developmental trajectories over the first decade of life. Finally, these two types of autisms reveal striking differences in functional and structural neuroimaging phenotypes and their relationships with gene expression and may highlight unique biological mechanisms. LIMITATIONS: Sample sizes for the neuroimaging and gene expression dataset are relatively small and require further independent replication. The current work is also limited to subtyping based on MSEL and VABS phenotypic measures. CONCLUSIONS: This work emphasizes the potential importance of stratifying autism by a Type I versus Type II distinction focused on LIMA features and which may be of high prognostic and biological significance. En ligne : https://dx.doi.org/10.1186/s13229-024-00613-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Atypical functional connectivity of temporal cortex with precuneus and visual regions may be an early-age signature of ASD / Teresa H. WEN ; Lauren KUPIS ; Lisa T. EYLER ; Vani TALUJA ; Jaden TROXEL ; Disha GOEL ; Michael V. LOMBARDO ; Karen PIERCE ; Eric COURCHESNE in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 11 p. Titre : Atypical functional connectivity of temporal cortex with precuneus and visual regions may be an early-age signature of ASD Type de document : texte imprimé Auteurs : Teresa H. WEN, Auteur ; Lauren KUPIS, Auteur ; Lisa T. EYLER, Auteur ; Vani TALUJA, Auteur ; Jaden TROXEL, Auteur ; Disha GOEL, Auteur ; Michael V. LOMBARDO, Auteur ; Karen PIERCE, Auteur ; Eric COURCHESNE, Auteur Article en page(s) : 11 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND: Social and language abilities are closely intertwined during early typical development. In autism spectrum disorder (ASD), however, deficits in social and language development are early-age core symptoms. We previously reported that superior temporal cortex, a well-established social and language region, shows reduced activation to social affective speech in ASD toddlers; however, the atypical cortical connectivity that accompanies this deviance remains unknown. METHODS: We collected clinical, eye tracking, and resting-state fMRI data from 86 ASD and non-ASD subjects (mean age 2.3+0.7 years). Functional connectivity of left and right superior temporal regions with other cortical regions and correlations between this connectivity and each child's social and language abilities were examined. RESULTS: While there was no group difference in functional connectivity, the connectivity between superior temporal cortex and frontal and parietal regions was significantly correlated with language, communication, and social abilities in non-ASD subjects, but these effects were absent in ASD subjects. Instead, ASD subjects, regardless of different social or nonsocial visual preferences, showed atypical correlations between temporal-visual region connectivity and communication ability (r(49)=0.55, p<0.001) and between temporal-precuneus connectivity and expressive language ability (r(49)=0.58, p<0.001). LIMITATIONS: The distinct connectivity-behavior correlation patterns may be related to different developmental stages in ASD and non-ASD subjects. The use of a prior 2-year-old template for spatial normalization may not be optimal for a few subjects beyond this age range. CONCLUSIONS: Superior temporal cortex is known to have reduced activation to social affective speech in ASD at early ages, and here we find in ASD toddlers that it also has atypical connectivity with visual and precuneus cortices that is correlated with communication and language ability, a pattern not seen in non-ASD toddlers. This atypicality may be an early-age signature of ASD that also explains why the disorder has deviant early language and social development. Given that these atypical connectivity patterns are also present in older individuals with ASD, we conclude these atypical connectivity patterns persist across age and may explain why successful interventions targeting language and social skills at all ages in ASD are so difficult to achieve. En ligne : http://dx.doi.org/10.1186/s13229-023-00543-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 [article] Atypical functional connectivity of temporal cortex with precuneus and visual regions may be an early-age signature of ASD [texte imprimé] / Teresa H. WEN, Auteur ; Lauren KUPIS, Auteur ; Lisa T. EYLER, Auteur ; Vani TALUJA, Auteur ; Jaden TROXEL, Auteur ; Disha GOEL, Auteur ; Michael V. LOMBARDO, Auteur ; Karen PIERCE, Auteur ; Eric COURCHESNE, Auteur . - 11 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 11 p. Index. décimale : PER Périodiques Résumé : BACKGROUND: Social and language abilities are closely intertwined during early typical development. In autism spectrum disorder (ASD), however, deficits in social and language development are early-age core symptoms. We previously reported that superior temporal cortex, a well-established social and language region, shows reduced activation to social affective speech in ASD toddlers; however, the atypical cortical connectivity that accompanies this deviance remains unknown. METHODS: We collected clinical, eye tracking, and resting-state fMRI data from 86 ASD and non-ASD subjects (mean age 2.3+0.7 years). Functional connectivity of left and right superior temporal regions with other cortical regions and correlations between this connectivity and each child's social and language abilities were examined. RESULTS: While there was no group difference in functional connectivity, the connectivity between superior temporal cortex and frontal and parietal regions was significantly correlated with language, communication, and social abilities in non-ASD subjects, but these effects were absent in ASD subjects. Instead, ASD subjects, regardless of different social or nonsocial visual preferences, showed atypical correlations between temporal-visual region connectivity and communication ability (r(49)=0.55, p<0.001) and between temporal-precuneus connectivity and expressive language ability (r(49)=0.58, p<0.001). LIMITATIONS: The distinct connectivity-behavior correlation patterns may be related to different developmental stages in ASD and non-ASD subjects. The use of a prior 2-year-old template for spatial normalization may not be optimal for a few subjects beyond this age range. CONCLUSIONS: Superior temporal cortex is known to have reduced activation to social affective speech in ASD at early ages, and here we find in ASD toddlers that it also has atypical connectivity with visual and precuneus cortices that is correlated with communication and language ability, a pattern not seen in non-ASD toddlers. This atypicality may be an early-age signature of ASD that also explains why the disorder has deviant early language and social development. Given that these atypical connectivity patterns are also present in older individuals with ASD, we conclude these atypical connectivity patterns persist across age and may explain why successful interventions targeting language and social skills at all ages in ASD are so difficult to achieve. En ligne : http://dx.doi.org/10.1186/s13229-023-00543-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513

Structural and Functional Brain Development in ASD: The Impact of Early Brain Overgrowth and Considerations for Treatment / Karen PIERCE

Public ISBD in The Neuropsychology of Autism / Deborah A. FEIN Titre : Structural and Functional Brain Development in ASD: The Impact of Early Brain Overgrowth and Considerations for Treatment Type de document : texte imprimé Auteurs : Karen PIERCE, Auteur ; Lisa T. EYLER, Auteur Année de publication : 2011 Importance : p.407-450 Langues : Anglais (eng) Index. décimale : SCI-C SCI-C - Neuropsychologie Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=140 in The Neuropsychology of Autism / Deborah A. FEIN Structural and Functional Brain Development in ASD: The Impact of Early Brain Overgrowth and Considerations for Treatment [texte imprimé] / Karen PIERCE, Auteur ; Lisa T. EYLER, Auteur . - 2011 . - p.407-450. Langues : Anglais (eng) Index. décimale : SCI-C SCI-C - Neuropsychologie Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=140

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