3 recherche sur le mot-clé 'Default mode'

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

The language network in autism: Atypical functional connectivity with default mode and visual regions / Yangfeifei GAO in Autism Research, 12-9 (September 2019)  

Public ISBD [article]  inAutism Research > 12-9 (September 2019) . - p.1344-1355 Titre : The language network in autism: Atypical functional connectivity with default mode and visual regions Type de document : texte imprimé Auteurs : Yangfeifei GAO, Auteur ; Annika LINKE, Auteur ; R. Joanne JAO KEEHN, Auteur ; Sanjana PUNYAMURTHULA, Auteur ; Afrooz JAHEDI, Auteur ; Kathleen GATES, Auteur ; Inna FISHMAN, Auteur ; Ralph-Axel MULLER, Auteur Article en page(s) : p.1344-1355 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  default mode  language  resting-state functional magnetic resonance imaging  visual cortex Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASDs) are neurodevelopmental disorders associated with atypical brain connectivity. Although language abilities vary widely, they are impaired or atypical in most children with ASDs. Underlying brain mechanisms, however, are not fully understood. The present study examined intrinsic functional connectivity (iFC) of the extended language network in a cohort of 52 children and adolescents with ASDs (ages 8-18 years), using resting-state functional magnetic resonance imaging. We found that, in comparison to typically developing peers (n = 50), children with ASDs showed increased connectivity between some language regions. In addition, seed-to-whole brain analyses revealed increased connectivity of language regions with posterior cingulate cortex (PCC) and visual regions in the ASD group. Post hoc effective connectivity analyses revealed a mediation effect of PCC on the iFC between bilateral inferior frontal and visual regions in an ASD subgroup. This finding qualifies and expands on previous reports of recruitment of visual areas in language processing in ASDs. In addition, increased iFC between PCC and visual regions was linked to lower language scores in this ASD subgroup, suggesting that increased connectivity with visual cortices, mediated by default mode regions, may be detrimental to language abilities. Autism Res 2019, 12: 1344-1355. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined the functional connectivity between regions of the language network in children with autism spectrum disorders (ASDs) compared to typically developing peers. We found connectivity to be intact between core language in the ASD group, but also showed abnormally increased connectivity between regions of an extended language network. Additionally, connectivity was increased with regions associated with brain networks responsible for self-reflection and visual processing. En ligne : http://dx.doi.org/10.1002/aur.2171 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=406 [article] The language network in autism: Atypical functional connectivity with default mode and visual regions [texte imprimé] / Yangfeifei GAO, Auteur ; Annika LINKE, Auteur ; R. Joanne JAO KEEHN, Auteur ; Sanjana PUNYAMURTHULA, Auteur ; Afrooz JAHEDI, Auteur ; Kathleen GATES, Auteur ; Inna FISHMAN, Auteur ; Ralph-Axel MULLER, Auteur . - p.1344-1355. Langues : Anglais (eng) in Autism Research > 12-9 (September 2019) . - p.1344-1355 Mots-clés : autism spectrum disorders  default mode  language  resting-state functional magnetic resonance imaging  visual cortex Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASDs) are neurodevelopmental disorders associated with atypical brain connectivity. Although language abilities vary widely, they are impaired or atypical in most children with ASDs. Underlying brain mechanisms, however, are not fully understood. The present study examined intrinsic functional connectivity (iFC) of the extended language network in a cohort of 52 children and adolescents with ASDs (ages 8-18 years), using resting-state functional magnetic resonance imaging. We found that, in comparison to typically developing peers (n = 50), children with ASDs showed increased connectivity between some language regions. In addition, seed-to-whole brain analyses revealed increased connectivity of language regions with posterior cingulate cortex (PCC) and visual regions in the ASD group. Post hoc effective connectivity analyses revealed a mediation effect of PCC on the iFC between bilateral inferior frontal and visual regions in an ASD subgroup. This finding qualifies and expands on previous reports of recruitment of visual areas in language processing in ASDs. In addition, increased iFC between PCC and visual regions was linked to lower language scores in this ASD subgroup, suggesting that increased connectivity with visual cortices, mediated by default mode regions, may be detrimental to language abilities. Autism Res 2019, 12: 1344-1355. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined the functional connectivity between regions of the language network in children with autism spectrum disorders (ASDs) compared to typically developing peers. We found connectivity to be intact between core language in the ASD group, but also showed abnormally increased connectivity between regions of an extended language network. Additionally, connectivity was increased with regions associated with brain networks responsible for self-reflection and visual processing. En ligne : http://dx.doi.org/10.1002/aur.2171 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=406

Patterns of Cerebellar Connectivity with Intrinsic Connectivity Networks in Autism Spectrum Disorders / H.M. BEDNARZ in Journal of Autism and Developmental Disorders, 49-11 (November 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-11 (November 2019) . - p.4498-4514 Titre : Patterns of Cerebellar Connectivity with Intrinsic Connectivity Networks in Autism Spectrum Disorders Type de document : texte imprimé Auteurs : H.M. BEDNARZ, Auteur ; Rajesh K. KANA, Auteur Article en page(s) : p.4498-4514 Langues : Anglais (eng) Mots-clés : Autism  Cerebellum  Default mode  Executive  Salience Index. décimale : PER Périodiques Résumé : There is growing evidence of altered connectivity in autism spectrum disorders (ASD) between the cerebellum and cortex. Three intrinsic connectivity networks (ICNs) are especially important to cognitive processing in ASD: the default mode network (DMN), executive control network (ECN), and salience networks (SNs). The goal of this study was to compare resting-state functional connectivity between the cerebellum and the DMN, ECN, and SN in ASD and typically developing children (n = 74, ages 7-12 years). Children with ASD showed stronger connectivity between the ventral DMN and left cerebellar lobules I-IV. No meaningful relationships were observed between ICN-cerebellar functional connectivity and ASD symptoms. These results suggest that the cerebellum contributes to altered network connectivity in ASD. En ligne : http://dx.doi.org/10.1007/s10803-019-04168-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408 [article] Patterns of Cerebellar Connectivity with Intrinsic Connectivity Networks in Autism Spectrum Disorders [texte imprimé] / H.M. BEDNARZ, Auteur ; Rajesh K. KANA, Auteur . - p.4498-4514. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-11 (November 2019) . - p.4498-4514 Mots-clés : Autism  Cerebellum  Default mode  Executive  Salience Index. décimale : PER Périodiques Résumé : There is growing evidence of altered connectivity in autism spectrum disorders (ASD) between the cerebellum and cortex. Three intrinsic connectivity networks (ICNs) are especially important to cognitive processing in ASD: the default mode network (DMN), executive control network (ECN), and salience networks (SNs). The goal of this study was to compare resting-state functional connectivity between the cerebellum and the DMN, ECN, and SN in ASD and typically developing children (n = 74, ages 7-12 years). Children with ASD showed stronger connectivity between the ventral DMN and left cerebellar lobules I-IV. No meaningful relationships were observed between ICN-cerebellar functional connectivity and ASD symptoms. These results suggest that the cerebellum contributes to altered network connectivity in ASD. En ligne : http://dx.doi.org/10.1007/s10803-019-04168-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408