Decreased anterior cingulate activation in a motor task in youths with bipolar disorder / Jace B. KING in Journal of Child Psychology and Psychiatry, 59-8 (August 2018)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 59-8 (August 2018) . - p.900-907 Titre : Decreased anterior cingulate activation in a motor task in youths with bipolar disorder Type de document : texte imprimé Auteurs : Jace B. KING, Auteur ; Jeffrey S. ANDERSON, Auteur ; Deborah A. YURGELUN-TODD, Auteur ; Punitha SUBRAMANIAM, Auteur ; Marie R. EHRLER, Auteur ; Melissa P. LOPEZ-LARSON, Auteur Article en page(s) : p.900-907 Langues : Anglais (eng) Mots-clés : Bipolar disorder  adolescents  anterior cingulate  fMRI  finger tapping Index. décimale : PER Périodiques Résumé : BACKGROUND: Bipolar disorder (BP) is characterized by abnormal shifts in mood between episodes of mania and severe depression, both of which have been linked with psychomotor disturbances. This study compares brain activation patterns in motor networks between euthymic youths with BP and healthy controls (HC) during the completion of a simple motor task. METHODS: Thirty-five youths with BP and 35 HC (aged 10-19) completed a self-paced sequential bilateral finger-tapping task, consisting of a 4-minute scan block with alternating 20-second periods of either the tapping task (six blocks) or rest (six blocks), while undergoing functional magnetic resonance imaging. Clinical and behavioral symptoms were assessed using the Child Behavior Checklist (CBCL). A between-group whole-brain analysis compared activation pattern differences while controlling for effects of age and sex. Clusters meeting whole-brain false discovery rate (FDR) correction (qFDR < .05) were considered statistically significant. Post hoc analyses evaluating comorbid attention-deficit/hyperactivity disorder (ADHD) in the BP group were also conducted. RESULTS: Significantly decreased activation was found in the anterior cingulate cortex (ACC) in youths with BP compared to HC. Furthermore, ACC activation was negatively correlated with CBCL mood dysregulation profile scores in the BP group. No significant differences in functional activation patterns were found between youths with BP and comorbid ADHD and those with only BP. CONCLUSIONS: These findings suggest a potential common mechanism of impaired ACC modulation between emotion dysregulation and motor processing in youths with BP. En ligne : http://dx.doi.org/10.1111/jcpp.12875 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=368 [article] Decreased anterior cingulate activation in a motor task in youths with bipolar disorder [texte imprimé] / Jace B. KING, Auteur ; Jeffrey S. ANDERSON, Auteur ; Deborah A. YURGELUN-TODD, Auteur ; Punitha SUBRAMANIAM, Auteur ; Marie R. EHRLER, Auteur ; Melissa P. LOPEZ-LARSON, Auteur . - p.900-907. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 59-8 (August 2018) . - p.900-907 Mots-clés : Bipolar disorder  adolescents  anterior cingulate  fMRI  finger tapping Index. décimale : PER Périodiques Résumé : BACKGROUND: Bipolar disorder (BP) is characterized by abnormal shifts in mood between episodes of mania and severe depression, both of which have been linked with psychomotor disturbances. This study compares brain activation patterns in motor networks between euthymic youths with BP and healthy controls (HC) during the completion of a simple motor task. METHODS: Thirty-five youths with BP and 35 HC (aged 10-19) completed a self-paced sequential bilateral finger-tapping task, consisting of a 4-minute scan block with alternating 20-second periods of either the tapping task (six blocks) or rest (six blocks), while undergoing functional magnetic resonance imaging. Clinical and behavioral symptoms were assessed using the Child Behavior Checklist (CBCL). A between-group whole-brain analysis compared activation pattern differences while controlling for effects of age and sex. Clusters meeting whole-brain false discovery rate (FDR) correction (qFDR < .05) were considered statistically significant. Post hoc analyses evaluating comorbid attention-deficit/hyperactivity disorder (ADHD) in the BP group were also conducted. RESULTS: Significantly decreased activation was found in the anterior cingulate cortex (ACC) in youths with BP compared to HC. Furthermore, ACC activation was negatively correlated with CBCL mood dysregulation profile scores in the BP group. No significant differences in functional activation patterns were found between youths with BP and comorbid ADHD and those with only BP. CONCLUSIONS: These findings suggest a potential common mechanism of impaired ACC modulation between emotion dysregulation and motor processing in youths with BP. En ligne : http://dx.doi.org/10.1111/jcpp.12875 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=368

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

Functional MRI connectivity of children with autism and low verbal and cognitive performance / Terisa P. GABRIELSEN in Molecular Autism, 9 (2018)  

Public ISBD [article]  inMolecular Autism > 9 (2018) . - 67 p. Titre : Functional MRI connectivity of children with autism and low verbal and cognitive performance Type de document : texte imprimé Auteurs : Terisa P. GABRIELSEN, Auteur ; Jeffrey S. ANDERSON, Auteur ; Kevin G. STEPHENSON, Auteur ; Jonathan BECK, Auteur ; Jace B. KING, Auteur ; Ryan KELLEMS, Auteur ; David N. TOP, Auteur ; Nicholas C.C. RUSSELL, Auteur ; Emily I. ANDERBERG, Auteur ; Rebecca A. LUNDWALL, Auteur ; Blake D. HANSEN, Auteur ; Mikle SOUTH, Auteur Article en page(s) : 67 p. Langues : Anglais (eng) Mots-clés : Adolescent  Autistic Disorder/*diagnostic imaging/physiopathology  Case-Control Studies  Child  *Cognition  Female  Humans  Intelligence  *Language Development  Magnetic Resonance Imaging  Male  *Autism spectrum disorder  *Functional connectivity  *Imaging methodology  *Intelligence  *Language  Institutional Review Board, protocol #F25403. Written informed consent was  obtained from parents, with assent obtained from participants following video  review of procedures.The boy who modeled the MRI procedures in the video modeling  procedure was filmed, and the final video was shared, with written permission of  both of his parents and with his own assent.The authors declare that they have no  competing interests.Springer Nature remains neutral with regard to jurisdictional  claims in published maps and institutional affiliations. Index. décimale : PER Périodiques Résumé : Background: Functional neuroimaging research in autism spectrum disorder has reported patterns of decreased long-range, within-network, and interhemispheric connectivity. Research has also reported increased corticostriatal connectivity and between-network connectivity for default and attentional networks. Past studies have excluded individuals with autism and low verbal and cognitive performance (LVCP), so connectivity in individuals more significantly affected with autism has not yet been studied. This represents a critical gap in our understanding of brain function across the autism spectrum. Methods: Using behavioral support procedures adapted from Nordahl, et al. (J Neurodev Disord 8:20-20, 2016), we completed non-sedated structural and functional MRI scans of 56 children ages 7-17, including LVCP children (n = 17, mean IQ = 54), children with autism and higher performance (HVCP, n = 20, mean IQ = 106), and neurotypical children (NT, n = 19, mean IQ = 111). Preparation included detailed intake questionnaires, video modeling, behavioral and anxiety reduction techniques, active noise-canceling headphones, and in-scan presentation of the Inscapes movie paradigm from Vanderwal et al. (Neuroimage 122:222-32, 2015). A high temporal resolution multiband echoplanar fMRI protocol analyzed motion-free time series data, extracted from concatenated volumes to mitigate the influence of motion artifact. All participants had > 200 volumes of motion-free fMRI scanning. Analyses were corrected for multiple comparisons. Results: LVCP showed decreased within-network connectivity in default, salience, auditory, and frontoparietal networks (LVCP < HVCP) and decreased interhemispheric connectivity (LVCP < HVCP=NT). Between-network connectivity was higher for LVCP than NT between default and dorsal attention and frontoparietal networks. Lower IQ was associated with decreased connectivity within the default network and increased connectivity between default and dorsal attention networks. Conclusions: This study demonstrates that with moderate levels of support, including readily available techniques, information about brain similarities and differences in LVCP individuals can be further studied. This initial study suggested decreased network segmentation and integration in LVCP individuals. Further imaging studies of LVCP individuals with larger samples will add to understanding of origins and effects of autism on brain function and behavior. En ligne : https://dx.doi.org/10.1186/s13229-018-0248-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389 [article] Functional MRI connectivity of children with autism and low verbal and cognitive performance [texte imprimé] / Terisa P. GABRIELSEN, Auteur ; Jeffrey S. ANDERSON, Auteur ; Kevin G. STEPHENSON, Auteur ; Jonathan BECK, Auteur ; Jace B. KING, Auteur ; Ryan KELLEMS, Auteur ; David N. TOP, Auteur ; Nicholas C.C. RUSSELL, Auteur ; Emily I. ANDERBERG, Auteur ; Rebecca A. LUNDWALL, Auteur ; Blake D. HANSEN, Auteur ; Mikle SOUTH, Auteur . - 67 p. Langues : Anglais (eng) in Molecular Autism > 9 (2018) . - 67 p. Mots-clés : Adolescent  Autistic Disorder/*diagnostic imaging/physiopathology  Case-Control Studies  Child  *Cognition  Female  Humans  Intelligence  *Language Development  Magnetic Resonance Imaging  Male  *Autism spectrum disorder  *Functional connectivity  *Imaging methodology  *Intelligence  *Language  Institutional Review Board, protocol #F25403. Written informed consent was  obtained from parents, with assent obtained from participants following video  review of procedures.The boy who modeled the MRI procedures in the video modeling  procedure was filmed, and the final video was shared, with written permission of  both of his parents and with his own assent.The authors declare that they have no  competing interests.Springer Nature remains neutral with regard to jurisdictional  claims in published maps and institutional affiliations. Index. décimale : PER Périodiques Résumé : Background: Functional neuroimaging research in autism spectrum disorder has reported patterns of decreased long-range, within-network, and interhemispheric connectivity. Research has also reported increased corticostriatal connectivity and between-network connectivity for default and attentional networks. Past studies have excluded individuals with autism and low verbal and cognitive performance (LVCP), so connectivity in individuals more significantly affected with autism has not yet been studied. This represents a critical gap in our understanding of brain function across the autism spectrum. Methods: Using behavioral support procedures adapted from Nordahl, et al. (J Neurodev Disord 8:20-20, 2016), we completed non-sedated structural and functional MRI scans of 56 children ages 7-17, including LVCP children (n = 17, mean IQ = 54), children with autism and higher performance (HVCP, n = 20, mean IQ = 106), and neurotypical children (NT, n = 19, mean IQ = 111). Preparation included detailed intake questionnaires, video modeling, behavioral and anxiety reduction techniques, active noise-canceling headphones, and in-scan presentation of the Inscapes movie paradigm from Vanderwal et al. (Neuroimage 122:222-32, 2015). A high temporal resolution multiband echoplanar fMRI protocol analyzed motion-free time series data, extracted from concatenated volumes to mitigate the influence of motion artifact. All participants had > 200 volumes of motion-free fMRI scanning. Analyses were corrected for multiple comparisons. Results: LVCP showed decreased within-network connectivity in default, salience, auditory, and frontoparietal networks (LVCP < HVCP) and decreased interhemispheric connectivity (LVCP < HVCP=NT). Between-network connectivity was higher for LVCP than NT between default and dorsal attention and frontoparietal networks. Lower IQ was associated with decreased connectivity within the default network and increased connectivity between default and dorsal attention networks. Conclusions: This study demonstrates that with moderate levels of support, including readily available techniques, information about brain similarities and differences in LVCP individuals can be further studied. This initial study suggested decreased network segmentation and integration in LVCP individuals. Further imaging studies of LVCP individuals with larger samples will add to understanding of origins and effects of autism on brain function and behavior. En ligne : https://dx.doi.org/10.1186/s13229-018-0248-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389

Generalizability and reproducibility of functional connectivity in autism / Jace B. KING in Molecular Autism, 10 (2019)  

Public ISBD [article]  inMolecular Autism > 10 (2019) . - 27 p. Titre : Generalizability and reproducibility of functional connectivity in autism Type de document : texte imprimé Auteurs : Jace B. KING, Auteur ; Molly D.B. PRIGGE, Auteur ; Carolyn K. KING, Auteur ; Jubel MORGAN, Auteur ; Fiona WEATHERSBY, Auteur ; J. Chancellor FOX, Auteur ; Douglas C. DEAN III, Auteur ; Abigail FREEMAN, Auteur ; Joaquin Alfonso M. VILLARUZ, Auteur ; Karen L. KANE, Auteur ; Erin D. BIGLER, Auteur ; Andrew L. ALEXANDER, Auteur ; Nicholas LANGE, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jeffrey S. ANDERSON, Auteur Article en page(s) : 27 p. Langues : Anglais (eng) Mots-clés : Autism spectrum conditions  Functional connectivity MRI  Replicability  Reproducibility  Resting-state  fMRI Index. décimale : PER Périodiques Résumé : Background: Autism is hypothesized to represent a disorder of brain connectivity, yet patterns of atypical functional connectivity show marked heterogeneity across individuals. Methods: We used a large multi-site dataset comprised of a heterogeneous population of individuals with autism and typically developing individuals to compare a number of resting-state functional connectivity features of autism. These features were also tested in a single site sample that utilized a high-temporal resolution, long-duration resting-state acquisition technique. Results: No one method of analysis provided reproducible results across research sites, combined samples, and the high-resolution dataset. Distinct categories of functional connectivity features that differed in autism such as homotopic, default network, salience network, long-range connections, and corticostriatal connectivity, did not align with differences in clinical and behavioral traits in individuals with autism. One method, lag-based functional connectivity, was not correlated to other methods in describing patterns of resting-state functional connectivity and their relationship to autism traits. Conclusion: Overall, functional connectivity features predictive of autism demonstrated limited generalizability across sites, with consistent results only for large samples. Different types of functional connectivity features do not consistently predict different symptoms of autism. Rather, specific features that predict autism symptoms are distributed across feature types. En ligne : https://dx.doi.org/10.1186/s13229-019-0273-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408 [article] Generalizability and reproducibility of functional connectivity in autism [texte imprimé] / Jace B. KING, Auteur ; Molly D.B. PRIGGE, Auteur ; Carolyn K. KING, Auteur ; Jubel MORGAN, Auteur ; Fiona WEATHERSBY, Auteur ; J. Chancellor FOX, Auteur ; Douglas C. DEAN III, Auteur ; Abigail FREEMAN, Auteur ; Joaquin Alfonso M. VILLARUZ, Auteur ; Karen L. KANE, Auteur ; Erin D. BIGLER, Auteur ; Andrew L. ALEXANDER, Auteur ; Nicholas LANGE, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jeffrey S. ANDERSON, Auteur . - 27 p. Langues : Anglais (eng) in Molecular Autism > 10 (2019) . - 27 p. Mots-clés : Autism spectrum conditions  Functional connectivity MRI  Replicability  Reproducibility  Resting-state  fMRI Index. décimale : PER Périodiques Résumé : Background: Autism is hypothesized to represent a disorder of brain connectivity, yet patterns of atypical functional connectivity show marked heterogeneity across individuals. Methods: We used a large multi-site dataset comprised of a heterogeneous population of individuals with autism and typically developing individuals to compare a number of resting-state functional connectivity features of autism. These features were also tested in a single site sample that utilized a high-temporal resolution, long-duration resting-state acquisition technique. Results: No one method of analysis provided reproducible results across research sites, combined samples, and the high-resolution dataset. Distinct categories of functional connectivity features that differed in autism such as homotopic, default network, salience network, long-range connections, and corticostriatal connectivity, did not align with differences in clinical and behavioral traits in individuals with autism. One method, lag-based functional connectivity, was not correlated to other methods in describing patterns of resting-state functional connectivity and their relationship to autism traits. Conclusion: Overall, functional connectivity features predictive of autism demonstrated limited generalizability across sites, with consistent results only for large samples. Different types of functional connectivity features do not consistently predict different symptoms of autism. Rather, specific features that predict autism symptoms are distributed across feature types. En ligne : https://dx.doi.org/10.1186/s13229-019-0273-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408

Longitudinal Stability of Intellectual Functioning in Autism Spectrum Disorder: From Age 3 Through Mid-adulthood / Molly D.B. PRIGGE in Journal of Autism and Developmental Disorders, 52-10 (October 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4490-4504 Titre : Longitudinal Stability of Intellectual Functioning in Autism Spectrum Disorder: From Age 3 Through Mid-adulthood Type de document : texte imprimé Auteurs : Molly D.B. PRIGGE, Auteur ; Erin D. BIGLER, Auteur ; Nicholas LANGE, Auteur ; Jubel MORGAN, Auteur ; Alyson L. FROEHLICH, Auteur ; Abigail FREEMAN, Auteur ; Kristina KELLETT, Auteur ; Karen L. KANE, Auteur ; Carolyn K. KING, Auteur ; June TAYLOR, Auteur ; Douglas C. DEAN III, Auteur ; Jace B. KING, Auteur ; Jeffrey S. ANDERSON, Auteur ; Brandon A. ZIELINSKI, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur Article en page(s) : p.4490-4504 Langues : Anglais (eng) Mots-clés : Asd  Autism spectrum disorder  Cognitive development  Intelligence  Longitudinal study  Stability Index. décimale : PER Périodiques Résumé : Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3-36 years of age at first visit) and 128 typically developing controls. Intelligence measures were collected over a 20-year period. In ASD, Full Scale (FSIQ) and Verbal (VIQ) Intelligence started lower in childhood and increased at a greater rate with age relative to the control group. By early adulthood, VIQ and working memory stabilized, whereas nonverbal and perceptual scores continued to change. Our results suggest that in individuals with ASD, IQ estimates may be dynamic in childhood and young adulthood. En ligne : http://dx.doi.org/10.1007/s10803-021-05227-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] Longitudinal Stability of Intellectual Functioning in Autism Spectrum Disorder: From Age 3 Through Mid-adulthood [texte imprimé] / Molly D.B. PRIGGE, Auteur ; Erin D. BIGLER, Auteur ; Nicholas LANGE, Auteur ; Jubel MORGAN, Auteur ; Alyson L. FROEHLICH, Auteur ; Abigail FREEMAN, Auteur ; Kristina KELLETT, Auteur ; Karen L. KANE, Auteur ; Carolyn K. KING, Auteur ; June TAYLOR, Auteur ; Douglas C. DEAN III, Auteur ; Jace B. KING, Auteur ; Jeffrey S. ANDERSON, Auteur ; Brandon A. ZIELINSKI, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur . - p.4490-4504. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4490-4504 Mots-clés : Asd  Autism spectrum disorder  Cognitive development  Intelligence  Longitudinal study  Stability Index. décimale : PER Périodiques Résumé : Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3-36 years of age at first visit) and 128 typically developing controls. Intelligence measures were collected over a 20-year period. In ASD, Full Scale (FSIQ) and Verbal (VIQ) Intelligence started lower in childhood and increased at a greater rate with age relative to the control group. By early adulthood, VIQ and working memory stabilized, whereas nonverbal and perceptual scores continued to change. Our results suggest that in individuals with ASD, IQ estimates may be dynamic in childhood and young adulthood. En ligne : http://dx.doi.org/10.1007/s10803-021-05227-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

Publisher Correction: 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)  

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