324 recherche sur le mot-clé 'age'

Age differences in broader autism phenotype traits from young adulthood to older adulthood / William J. CHOPIK in Autism Research, 14-7 (July 2021)  

Public ISBD [article]  inAutism Research > 14-7 (July 2021) . - p.1456-1471 Titre : Age differences in broader autism phenotype traits from young adulthood to older adulthood Type de document : texte imprimé Auteurs : William J. CHOPIK, Auteur ; Jeewon OH, Auteur ; Amy K. NUTTALL, Auteur ; Katharine N. THAKKAR, Auteur ; Brooke R. INGERSOLL, Auteur Article en page(s) : p.1456-1471 Langues : Anglais (eng) Mots-clés : Adult  Aged  Autism Spectrum Disorder  Autistic Disorder  Cross-Sectional Studies  Female  Humans  Male  Middle Aged  Phenotype  Surveys and Questionnaires  Young Adult  age differences  autism spectrum disorders  broader autism phenotype  lifespan development  personality Index. décimale : PER Périodiques Résumé : Much of past research has been dedicated to refining the operationalization and correlates of the broader autism phenotype (BAP) and less on how the BAP differs by socio-demographic characteristics, like age-particularly after midlife. This gap is important because other nonclinical trait-like characteristics (e.g., personality) have shown considerable age differences, leading to work assessing the malleability of psychological characteristics and improving outcomes for individuals and their significant others. In the current study, we examined cross-sectional age differences in the BAP in a large sample of adults ranging in age from 18 to 85. We recruited a sample of 2966 adults ranging in age from 18 to 85 (M(age) = 36.53, SD = 12.61; 58.9% Female; 1.1% with an ASD diagnosis) recruited from an online survey service. We found that total BAP scores were higher in younger adults and lower among older adults. These differences were particularly true for pragmatic language difficulties, with this component of the BAP showing the most dramatic age differences. Aloofness showed similar negative associations with age, albeit much smaller. Rigidity was not significantly associated with age. The results are consistent with other research showing an abatement of symptoms among individuals with autism spectrum disorders (ASDs) across early life and theories predicting changes in other psychological characteristics (e.g., personality). The results are discussed in the context of the malleability of ASD and BAP traits across life, the clinical implications of these changes, and the origins and consequences for lifespan differences in BAP. LAY SUMMARY: Little is known about how subclinical autistic-like traits among middle-aged and older adults compare to younger adults. We found that these subclinical traits were highest in young adults and lowest in older adults. Knowing how these traits differ by age can provide researchers and clinicians with a sense of how much these traits might change across life, if the traits might be sensitive to interventions, and when in development it might be best to intervene. En ligne : http://dx.doi.org/10.1002/aur.2504 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Age differences in broader autism phenotype traits from young adulthood to older adulthood [texte imprimé] / William J. CHOPIK, Auteur ; Jeewon OH, Auteur ; Amy K. NUTTALL, Auteur ; Katharine N. THAKKAR, Auteur ; Brooke R. INGERSOLL, Auteur . - p.1456-1471. Langues : Anglais (eng) in Autism Research > 14-7 (July 2021) . - p.1456-1471 Mots-clés : Adult  Aged  Autism Spectrum Disorder  Autistic Disorder  Cross-Sectional Studies  Female  Humans  Male  Middle Aged  Phenotype  Surveys and Questionnaires  Young Adult  age differences  autism spectrum disorders  broader autism phenotype  lifespan development  personality Index. décimale : PER Périodiques Résumé : Much of past research has been dedicated to refining the operationalization and correlates of the broader autism phenotype (BAP) and less on how the BAP differs by socio-demographic characteristics, like age-particularly after midlife. This gap is important because other nonclinical trait-like characteristics (e.g., personality) have shown considerable age differences, leading to work assessing the malleability of psychological characteristics and improving outcomes for individuals and their significant others. In the current study, we examined cross-sectional age differences in the BAP in a large sample of adults ranging in age from 18 to 85. We recruited a sample of 2966 adults ranging in age from 18 to 85 (M(age) = 36.53, SD = 12.61; 58.9% Female; 1.1% with an ASD diagnosis) recruited from an online survey service. We found that total BAP scores were higher in younger adults and lower among older adults. These differences were particularly true for pragmatic language difficulties, with this component of the BAP showing the most dramatic age differences. Aloofness showed similar negative associations with age, albeit much smaller. Rigidity was not significantly associated with age. The results are consistent with other research showing an abatement of symptoms among individuals with autism spectrum disorders (ASDs) across early life and theories predicting changes in other psychological characteristics (e.g., personality). The results are discussed in the context of the malleability of ASD and BAP traits across life, the clinical implications of these changes, and the origins and consequences for lifespan differences in BAP. LAY SUMMARY: Little is known about how subclinical autistic-like traits among middle-aged and older adults compare to younger adults. We found that these subclinical traits were highest in young adults and lowest in older adults. Knowing how these traits differ by age can provide researchers and clinicians with a sense of how much these traits might change across life, if the traits might be sensitive to interventions, and when in development it might be best to intervene. En ligne : http://dx.doi.org/10.1002/aur.2504 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Age-related changes in brain signal variability in autism spectrum disorder / Nicholas KATHREIN ; Elijah GRAGAS ; Lauren KUPIS ; Lucina Q. UDDIN ; Jason S. NOMI in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 8 Titre : Age-related changes in brain signal variability in autism spectrum disorder Type de document : texte imprimé Auteurs : Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q. UDDIN, Auteur ; Jason S. NOMI, Auteur Article en page(s) : 8 Langues : Anglais (eng) Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Age-related changes in brain signal variability in autism spectrum disorder [texte imprimé] / Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q. UDDIN, Auteur ; Jason S. NOMI, Auteur . - 8. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 8 Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Current situation and influencing factors of Chinese children's diagnosis delay in autism / Feng-Lei ZHU in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Current situation and influencing factors of Chinese children's diagnosis delay in autism Type de document : texte imprimé Auteurs : Feng-Lei ZHU, Auteur ; Yue JI, Auteur ; Lu WANG, Auteur ; Min XU, Auteur ; Xiao-Bing ZOU, Auteur Langues : Anglais (eng) Mots-clés : Child  Child, Preschool  Female  Humans  Infant  Male  Autistic Disorder/diagnosis  China/epidemiology  Delayed Diagnosis/statistics & numerical data  Risk Factors  Adolescent  East Asian People  Age of diagnosis (AOD)  Age of first concern (AOC)  Autism  Children  Diagnostic delay  The Cox proportional hazard model  methods were carried out in accordance with the Declaration of Helsinki. Ethical  approval for this study was obtained from the Medical Ethics Committee of the  Third Affiliated Hospital of Sun Yat-sen University. The ethical approval number:  [2019] 02-013-01. All participants provided informed consent and were fully  informed that their participation was voluntary and confidential. Informed  consent was obtained from the guardians. Competing interests: The authors declare  no competing interests. Clinical trial: Not applicable. Index. décimale : PER Périodiques Résumé : BACKGROUND: Although experienced clinicians are capable of diagnosing autism in children before they reach the age of 2, the average age of diagnosis reported internationally is between 4 and 5 years, indicating a significant delay. This study aimed to determine the factors influencing the diagnostic delay time (DDT) in Chinese autistic children. METHODS: We employed the Cox proportional hazard model to examine the effects of individual, family, sociodemographic, and healthcare system indicators on DDT in 480 Chinese autistic children (age range: 16.10-190.16 months; male-to-female ratio: 5.67:1) recruited from a tertiary hospital between 2021 and 2023. RESULTS: The median DDT was 9.58 months (IQR = 15.01). Independent risk factors for delayed diagnosis included normal language competence (RR = 1.747, p < 0.001), non-core symptoms as first concerns (RR = 1.642, p = 0.013), school attendance (RR = 1.941, p < 0.001), irregular well-child visits (RR = 1.264, p = 0.028), and misdiagnosis history (RR = 0.648, p = 0.001). CONCLUSIONS: Diagnosis delay in Chinese autistic children is heterogeneous. Early monitoring for children with normal language skills and school-aged children, alongside improved healthcare system practices, is critical. En ligne : https://dx.doi.org/10.1186/s11689-025-09636-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Current situation and influencing factors of Chinese children's diagnosis delay in autism [texte imprimé] / Feng-Lei ZHU, Auteur ; Yue JI, Auteur ; Lu WANG, Auteur ; Min XU, Auteur ; Xiao-Bing ZOU, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Child  Child, Preschool  Female  Humans  Infant  Male  Autistic Disorder/diagnosis  China/epidemiology  Delayed Diagnosis/statistics & numerical data  Risk Factors  Adolescent  East Asian People  Age of diagnosis (AOD)  Age of first concern (AOC)  Autism  Children  Diagnostic delay  The Cox proportional hazard model  methods were carried out in accordance with the Declaration of Helsinki. Ethical  approval for this study was obtained from the Medical Ethics Committee of the  Third Affiliated Hospital of Sun Yat-sen University. The ethical approval number:  [2019] 02-013-01. All participants provided informed consent and were fully  informed that their participation was voluntary and confidential. Informed  consent was obtained from the guardians. Competing interests: The authors declare  no competing interests. Clinical trial: Not applicable. Index. décimale : PER Périodiques Résumé : BACKGROUND: Although experienced clinicians are capable of diagnosing autism in children before they reach the age of 2, the average age of diagnosis reported internationally is between 4 and 5 years, indicating a significant delay. This study aimed to determine the factors influencing the diagnostic delay time (DDT) in Chinese autistic children. METHODS: We employed the Cox proportional hazard model to examine the effects of individual, family, sociodemographic, and healthcare system indicators on DDT in 480 Chinese autistic children (age range: 16.10-190.16 months; male-to-female ratio: 5.67:1) recruited from a tertiary hospital between 2021 and 2023. RESULTS: The median DDT was 9.58 months (IQR = 15.01). Independent risk factors for delayed diagnosis included normal language competence (RR = 1.747, p < 0.001), non-core symptoms as first concerns (RR = 1.642, p = 0.013), school attendance (RR = 1.941, p < 0.001), irregular well-child visits (RR = 1.264, p = 0.028), and misdiagnosis history (RR = 0.648, p = 0.001). CONCLUSIONS: Diagnosis delay in Chinese autistic children is heterogeneous. Early monitoring for children with normal language skills and school-aged children, alongside improved healthcare system practices, is critical. En ligne : https://dx.doi.org/10.1186/s11689-025-09636-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood / Molly D.B. PRIGGE ; Andrew ALEXANDER ; Brandon ZIELINSKI ; Janet E. LAINHART ; Jace KING in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 24 Titre : Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood Type de document : texte imprimé Auteurs : Molly D.B. PRIGGE, Auteur ; Andrew ALEXANDER, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jace KING, Auteur Article en page(s) : 24 Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Adolescent  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Connectome/methods  Adult  Young Adult  Child, Preschool  Cross-Sectional Studies  Autistic Disorder/physiopathology  Nonlinear Dynamics  Autism Spectrum Disorder/physiopathology  Age Factors  Nerve Net/physiopathology  Age-related  Autism  Cross-sectional  Functional connectivity  Generalized additive model  fMRI  acquired by each individual site within the ABIDE repository. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. METHODS: 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. RESULTS: Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures and fits. LIMITATIONS: The present analysis includes only male participants and has a restricted age range, limiting analysis of early development and later life aging, years 40 and beyond. Additionally, our analysis is limited to large-scale network cortical functional parcellation. To parse more specificity of brain region connectivity, a fine-grained functional parcellation including subcortical areas may be warranted. CONCLUSION: Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism. En ligne : https://dx.doi.org/10.1186/s13229-025-00657-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood [texte imprimé] / Molly D.B. PRIGGE, Auteur ; Andrew ALEXANDER, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jace KING, Auteur . - 24. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 24 Mots-clés : Humans  Male  Child  Adolescent  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Connectome/methods  Adult  Young Adult  Child, Preschool  Cross-Sectional Studies  Autistic Disorder/physiopathology  Nonlinear Dynamics  Autism Spectrum Disorder/physiopathology  Age Factors  Nerve Net/physiopathology  Age-related  Autism  Cross-sectional  Functional connectivity  Generalized additive model  fMRI  acquired by each individual site within the ABIDE repository. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. METHODS: 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. RESULTS: Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures and fits. LIMITATIONS: The present analysis includes only male participants and has a restricted age range, limiting analysis of early development and later life aging, years 40 and beyond. Additionally, our analysis is limited to large-scale network cortical functional parcellation. To parse more specificity of brain region connectivity, a fine-grained functional parcellation including subcortical areas may be warranted. CONCLUSION: Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism. En ligne : https://dx.doi.org/10.1186/s13229-025-00657-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Adaptation of the PEERS for Young Adults Social Skills Curriculum for College Students With Autism Spectrum Disorder / Ashley A. PALLATHRA ; C. Teal RAFFAELE ; Caitlin ROTHWELL ; Brendan A. RICH in Focus on Autism and Other Developmental Disabilities, 38-4 (December 2023)  

Public ISBD [article]  inFocus on Autism and Other Developmental Disabilities > 38-4 (December 2023) . - p.234-244 Titre : Adaptation of the PEERS for Young Adults Social Skills Curriculum for College Students With Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Ashley A. PALLATHRA, Auteur ; C. Teal RAFFAELE, Auteur ; Caitlin ROTHWELL, Auteur ; Brendan A. RICH, Auteur Article en page(s) : p.234-244 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  social skills  socialization  adult  age  intervention Index. décimale : PER Périodiques Résumé : Young adults with autism spectrum disorder (ASD) experience a variety of unique challenges that may be compounded for individuals pursuing postsecondary education. Particular difficulties identified for college students with ASD include variability in social skills, social isolation, and reduced access to appropriate support and services. Research on effective interventions supporting college students with ASD is considerably lacking. This pilot study sought to address this area of need by modifying the Program for the Education and Enrichment of Relational Skills (PEERS) for Young Adults, a social skills training program for young adults with autism, for use on a college campus. Following the intervention, participants showed improvements in areas of social functioning that are particularly important for college students with ASD, including overall social functioning, social awareness, social motivation, social cognition, and knowledge of social skills. This study is an important step toward the development of effective interventions that address social competence specifically for young adults with autism in postsecondary educational environments. En ligne : https://dx.doi.org/10.1177/10883576221133484 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=515 [article] Adaptation of the PEERS for Young Adults Social Skills Curriculum for College Students With Autism Spectrum Disorder [texte imprimé] / Ashley A. PALLATHRA, Auteur ; C. Teal RAFFAELE, Auteur ; Caitlin ROTHWELL, Auteur ; Brendan A. RICH, Auteur . - p.234-244. Langues : Anglais (eng) in Focus on Autism and Other Developmental Disabilities > 38-4 (December 2023) . - p.234-244 Mots-clés : autism spectrum disorders  social skills  socialization  adult  age  intervention Index. décimale : PER Périodiques Résumé : Young adults with autism spectrum disorder (ASD) experience a variety of unique challenges that may be compounded for individuals pursuing postsecondary education. Particular difficulties identified for college students with ASD include variability in social skills, social isolation, and reduced access to appropriate support and services. Research on effective interventions supporting college students with ASD is considerably lacking. This pilot study sought to address this area of need by modifying the Program for the Education and Enrichment of Relational Skills (PEERS) for Young Adults, a social skills training program for young adults with autism, for use on a college campus. Following the intervention, participants showed improvements in areas of social functioning that are particularly important for college students with ASD, including overall social functioning, social awareness, social motivation, social cognition, and knowledge of social skills. This study is an important step toward the development of effective interventions that address social competence specifically for young adults with autism in postsecondary educational environments. En ligne : https://dx.doi.org/10.1177/10883576221133484 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=515

Age and Adaptive Functioning in Children and Adolescents with ASD: The Effects of Intellectual Functioning and ASD Symptom Severity / Trenesha L. HILL in Journal of Autism and Developmental Disorders, 45-12 (December 2015)  

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Age and sex differences in problem behaviours in youth with autism spectrum disorder / Gemma GRAZIOSI in Research in Autism Spectrum Disorders, 100 (February 2023)  

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Age as a Moderator of Social Skills Intervention Response Among Korean Adolescents with Autism Spectrum Disorder / Jung Kyung HONG in Journal of Autism and Developmental Disorders, 49-4 (April 2019)  

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Age at autism spectrum disorder diagnosis: A systematic review and meta-analysis from 2012 to 2019 / Maarten VAN 'T HOF in Autism, 25-4 (May 2021)  

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Age Differences in Emergency Department Visits and Inpatient Hospitalizations in Preadolescent and Adolescent Youth with Autism Spectrum Disorders / Alyssa M. SCHLENZ in Journal of Autism and Developmental Disorders, 45-8 (August 2015)  

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