Abnormal lateralization of functional connectivity between language and default mode regions in autism / Jared A. NIELSEN in Molecular Autism, (February 2014)  

Public ISBD [article]  inMolecular Autism > (February 2014) Titre : Abnormal lateralization of functional connectivity between language and default mode regions in autism Type de document : texte imprimé Auteurs : Jared A. NIELSEN, Auteur ; Brandon ZIELINSKI, Auteur ; P. FLETCHER, Auteur ; Andrew A. ALEXANDER, Auteur ; Nicholas LANGE, Auteur ; Erin D. BIGLER, Auteur ; Janet E. LAINHART, Auteur ; Jeffrey S. ANDERSON, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Lateralization of brain structure and function occurs in typical development, and abnormal lateralization is present in various neuropsychiatric disorders. Autism is characterized by a lack of left lateralization in structure and function of regions involved in language, such as Broca and Wernicke areas. Using functional connectivity magnetic resonance imaging from a large publicly available sample (n=964), we tested whether abnormal functional lateralization in autism exists preferentially in language regions or in a more diffuse pattern across networks of lateralized brain regions. The autism group exhibited significantly reduced left lateralization in a few connections involving language regions and regions from the default mode network, but results were not significant throughout left- and right-lateralized networks. There is a trend that suggests the lack of left lateralization in a connection involving Wernicke area and the posterior cingulate cortex associates with more severe autism. Abnormal language lateralization in autism may be due to abnormal language development rather than to a deficit in hemispheric specialization of the entire brain. En ligne : http://dx.doi.org/10.1186/2040-2392-5-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227 [article] Abnormal lateralization of functional connectivity between language and default mode regions in autism [texte imprimé] / Jared A. NIELSEN, Auteur ; Brandon ZIELINSKI, Auteur ; P. FLETCHER, Auteur ; Andrew A. ALEXANDER, Auteur ; Nicholas LANGE, Auteur ; Erin D. BIGLER, Auteur ; Janet E. LAINHART, Auteur ; Jeffrey S. ANDERSON, Auteur. Langues : Anglais (eng) in Molecular Autism > (February 2014) Index. décimale : PER Périodiques Résumé : Lateralization of brain structure and function occurs in typical development, and abnormal lateralization is present in various neuropsychiatric disorders. Autism is characterized by a lack of left lateralization in structure and function of regions involved in language, such as Broca and Wernicke areas. Using functional connectivity magnetic resonance imaging from a large publicly available sample (n=964), we tested whether abnormal functional lateralization in autism exists preferentially in language regions or in a more diffuse pattern across networks of lateralized brain regions. The autism group exhibited significantly reduced left lateralization in a few connections involving language regions and regions from the default mode network, but results were not significant throughout left- and right-lateralized networks. There is a trend that suggests the lack of left lateralization in a connection involving Wernicke area and the posterior cingulate cortex associates with more severe autism. Abnormal language lateralization in autism may be due to abnormal language development rather than to a deficit in hemispheric specialization of the entire brain. En ligne : http://dx.doi.org/10.1186/2040-2392-5-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227

Atypical development of white matter microstructure of the corpus callosum in males with autism: a longitudinal investigation / Brittany G. TRAVERS in Molecular Autism, (March 2015)  

Public ISBD [article]  inMolecular Autism > (March 2015) . - p.1-15 Titre : Atypical development of white matter microstructure of the corpus callosum in males with autism: a longitudinal investigation Type de document : texte imprimé Auteurs : Brittany G. TRAVERS, Auteur ; Do P.M. TROMP, Auteur ; Nagesh ADLURU, Auteur ; Nicholas LANGE, Auteur ; Dan DESTICHE, Auteur ; Chad ENNIS, Auteur ; Jared A. NIELSEN, Auteur ; Alyson L. FROEHLICH, Auteur ; Molly D.B. PRIGGE, Auteur ; P. Thomas FLETCHER, Auteur ; Jeffrey S. ANDERSON, Auteur ; Brandon A. ZIELINSKI, Auteur ; Erin D. BIGLER, Auteur ; Janet E. LAINHART, Auteur ; Andrew L. ALEXANDER, Auteur Article en page(s) : p.1-15 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The corpus callosum is the largest white matter structure in the brain, and it is the most consistently reported to be atypical in diffusion tensor imaging studies of autism spectrum disorder. In individuals with typical development, the corpus callosum is known to undergo a protracted development from childhood through young adulthood. However, no study has longitudinally examined the developmental trajectory of corpus callosum in autism past early childhood. En ligne : http://dx.doi.org/10.1186/s13229-015-0001-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277 [article] Atypical development of white matter microstructure of the corpus callosum in males with autism: a longitudinal investigation [texte imprimé] / Brittany G. TRAVERS, Auteur ; Do P.M. TROMP, Auteur ; Nagesh ADLURU, Auteur ; Nicholas LANGE, Auteur ; Dan DESTICHE, Auteur ; Chad ENNIS, Auteur ; Jared A. NIELSEN, Auteur ; Alyson L. FROEHLICH, Auteur ; Molly D.B. PRIGGE, Auteur ; P. Thomas FLETCHER, Auteur ; Jeffrey S. ANDERSON, Auteur ; Brandon A. ZIELINSKI, Auteur ; Erin D. BIGLER, Auteur ; Janet E. LAINHART, Auteur ; Andrew L. ALEXANDER, Auteur . - p.1-15. Langues : Anglais (eng) in Molecular Autism > (March 2015) . - p.1-15 Index. décimale : PER Périodiques Résumé : The corpus callosum is the largest white matter structure in the brain, and it is the most consistently reported to be atypical in diffusion tensor imaging studies of autism spectrum disorder. In individuals with typical development, the corpus callosum is known to undergo a protracted development from childhood through young adulthood. However, no study has longitudinally examined the developmental trajectory of corpus callosum in autism past early childhood. En ligne : http://dx.doi.org/10.1186/s13229-015-0001-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277

Atypical Postural Control Variability and Coordination Persist Into Middle and Older Adulthood in Autism Spectrum Disorder / Jingying WANG ; Desirae J. SHIRLEY ; Hanna M. GEMMELL ; Danielle CHRISTENSEN ; Ann-Marie ORLANDO ; Regilda A. ROMERO ; Brandon A. ZIELINSKI ; Zheng WANG in Autism Research, 18-4 (April 2025)  

Public ISBD [article]  inAutism Research > 18-4 (April 2025) . - p.752-764 Titre : Atypical Postural Control Variability and Coordination Persist Into Middle and Older Adulthood in Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Jingying WANG, Auteur ; Desirae J. SHIRLEY, Auteur ; Hanna M. GEMMELL, Auteur ; Danielle CHRISTENSEN, Auteur ; Ann-Marie ORLANDO, Auteur ; Regilda A. ROMERO, Auteur ; Brandon A. ZIELINSKI, Auteur ; Zheng WANG, Auteur Article en page(s) : p.752-764 Langues : Anglais (eng) Mots-clés : aging  autism spectrum disorder  dynamic postural sway  middle aged and older  postural control  static stance Index. décimale : PER Périodiques Résumé : ABSTRACT Postural control deviations remain largely unexplored in middle aged and older autistic adults. With the increased prevalence of neurodegenerative conditions and heightened fall risk, precise quantification of postural variability and coordination may provide valuable insights into aging associated neuromotor deviations in autistic adults. Forty-seven autistic and 48 non-autistic individuals completed static stance, anterior?posterior (AP), and mediolateral (ML) postural sway on a force platform. Center of pressure (COP) metrics were derived and interpreted using ANCOVAs for between-group comparisons and multilinear regressions for group? ? ?age interaction. Correlations between clinical measures and COP variables that differentiated groups were explored. Compared to non-autistic individuals, autistic adults exhibited greater COP standard deviation (COPSD) and COP trajectory length during static stance and demonstrated significant COPSD-AP reductions in older age. Autistic adults also exhibited decreased COP range of motion (ROM) but increased ROM variability in the target direction during dynamic stance. Autistic adults' postural sway was jerkier during dynamic stance, and increased ROM variability during dynamic AP sway was moderately associated with lower verbal IQ in autistic adults. Our findings highlight persistent postural control deviations in middle aged and older autistic adults. Static and dynamic stance are differentially associated with unique profiles of postural control in ASD. Specifically, autistic adults demonstrated pronounced increases in postural sway variability during static stance, while reducing coordination during dynamic conditions. The extent to which postural control deviations found in autistic adults are predictive to the onset of neurodegenerative conditions and the severity of falls warrants future longitudinal research. En ligne : https://doi.org/10.1002/aur.70024 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Atypical Postural Control Variability and Coordination Persist Into Middle and Older Adulthood in Autism Spectrum Disorder [texte imprimé] / Jingying WANG, Auteur ; Desirae J. SHIRLEY, Auteur ; Hanna M. GEMMELL, Auteur ; Danielle CHRISTENSEN, Auteur ; Ann-Marie ORLANDO, Auteur ; Regilda A. ROMERO, Auteur ; Brandon A. ZIELINSKI, Auteur ; Zheng WANG, Auteur . - p.752-764. Langues : Anglais (eng) in Autism Research > 18-4 (April 2025) . - p.752-764 Mots-clés : aging  autism spectrum disorder  dynamic postural sway  middle aged and older  postural control  static stance Index. décimale : PER Périodiques Résumé : ABSTRACT Postural control deviations remain largely unexplored in middle aged and older autistic adults. With the increased prevalence of neurodegenerative conditions and heightened fall risk, precise quantification of postural variability and coordination may provide valuable insights into aging associated neuromotor deviations in autistic adults. Forty-seven autistic and 48 non-autistic individuals completed static stance, anterior?posterior (AP), and mediolateral (ML) postural sway on a force platform. Center of pressure (COP) metrics were derived and interpreted using ANCOVAs for between-group comparisons and multilinear regressions for group? ? ?age interaction. Correlations between clinical measures and COP variables that differentiated groups were explored. Compared to non-autistic individuals, autistic adults exhibited greater COP standard deviation (COPSD) and COP trajectory length during static stance and demonstrated significant COPSD-AP reductions in older age. Autistic adults also exhibited decreased COP range of motion (ROM) but increased ROM variability in the target direction during dynamic stance. Autistic adults' postural sway was jerkier during dynamic stance, and increased ROM variability during dynamic AP sway was moderately associated with lower verbal IQ in autistic adults. Our findings highlight persistent postural control deviations in middle aged and older autistic adults. Static and dynamic stance are differentially associated with unique profiles of postural control in ASD. Specifically, autistic adults demonstrated pronounced increases in postural sway variability during static stance, while reducing coordination during dynamic conditions. The extent to which postural control deviations found in autistic adults are predictive to the onset of neurodegenerative conditions and the severity of falls warrants future longitudinal research. En ligne : https://doi.org/10.1002/aur.70024 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554

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

Generalizability and reproducibility of functional connectivity in autism / J.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 : J.B. KING, Auteur ; Molly D.B. PRIGGE, Auteur ; Carolyn K. KING, Auteur ; Jubel MORGAN, Auteur ; F. WEATHERSBY, Auteur ; J.C. FOX, Auteur ; Douglas C. DEAN III, Auteur ; A. FREEMAN, Auteur ; J.A.M. VILLARUZ, Auteur ; Karen L. KANE, Auteur ; Erin D. BIGLER, Auteur ; A.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] / J.B. KING, Auteur ; Molly D.B. PRIGGE, Auteur ; Carolyn K. KING, Auteur ; Jubel MORGAN, Auteur ; F. WEATHERSBY, Auteur ; J.C. FOX, Auteur ; Douglas C. DEAN III, Auteur ; A. FREEMAN, Auteur ; J.A.M. VILLARUZ, Auteur ; Karen L. KANE, Auteur ; Erin D. BIGLER, Auteur ; A.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 development of thalamic and internal capsule microstructure in autism spectrum disorder / Kristine MCLAUGHLIN in Autism Research, 11-3 (March 2018)  

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Longitudinal Heschl's Gyrus Growth During Childhood and Adolescence in Typical Development and Autism / Molly D.B. PRIGGE in Autism Research, 6-2 (April 2013)  

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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)  

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Longitudinal Volumetric Brain Changes in Autism Spectrum Disorder Ages 6–35 Years / Nicholas LANGE in Autism Research, 8-1 (February 2015)  

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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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Social Responsiveness Scale (SRS) in Relation to Longitudinal Cortical Thickness Changes in Autism Spectrum Disorder / Molly D.B. PRIGGE in Journal of Autism and Developmental Disorders, 48-10 (October 2018)  

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Structural Imaging in Autism / Brandon A. ZIELINSKI

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