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

Brainstem White Matter Predicts Individual Differences in Manual Motor Difficulties and Symptom Severity in Autism / Brittany G. TRAVERS in Journal of Autism and Developmental Disorders, 45-9 (September 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-9 (September 2015) . - p.3030-3040 Titre : Brainstem White Matter Predicts Individual Differences in Manual Motor Difficulties and Symptom Severity in Autism Type de document : texte imprimé Auteurs : Brittany G. TRAVERS, Auteur ; Erin D. BIGLER, Auteur ; Do P. M. TROMP, Auteur ; Nagesh ADLURU, Auteur ; Dan DESTICHE, Auteur ; Danica SAMSIN, Auteur ; Alyson L. FROEHLICH, Auteur ; Molly D.B. PRIGGE, Auteur ; Tyler C. DUFFIELD, Auteur ; Nicholas LANGE, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur Article en page(s) : p.3030-3040 Langues : Anglais (eng) Mots-clés : Autism  Motor  Diffusion tensor imaging  Brainstem  Grip strength  Finger tapping Index. décimale : PER Périodiques Résumé : Mounting evidence suggests that poorer motor skills may be related to more severe autism symptoms. This study investigated if atypical white matter microstructure in the brain mediated the relationship between motor skills and ASD symptom severity. Sixty-seven males with ASD and 42 males with typical development (5–33 years old) completed a diffusion tensor imaging scan and measures of grip strength, finger tapping, and autism symptom severity. Within the ASD group, weaker grip strength predicted more severe autism symptoms. Fractional anisotropy of the brainstem’s corticospinal tract predicted both grip strength and autism symptom severity and mediated the relationship between the two. These findings suggest that brainstem white matter may contribute to autism symptoms and grip strength in ASD. En ligne : http://dx.doi.org/10.1007/s10803-015-2467-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267 [article] Brainstem White Matter Predicts Individual Differences in Manual Motor Difficulties and Symptom Severity in Autism [texte imprimé] / Brittany G. TRAVERS, Auteur ; Erin D. BIGLER, Auteur ; Do P. M. TROMP, Auteur ; Nagesh ADLURU, Auteur ; Dan DESTICHE, Auteur ; Danica SAMSIN, Auteur ; Alyson L. FROEHLICH, Auteur ; Molly D.B. PRIGGE, Auteur ; Tyler C. DUFFIELD, Auteur ; Nicholas LANGE, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur . - p.3030-3040. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-9 (September 2015) . - p.3030-3040 Mots-clés : Autism  Motor  Diffusion tensor imaging  Brainstem  Grip strength  Finger tapping Index. décimale : PER Périodiques Résumé : Mounting evidence suggests that poorer motor skills may be related to more severe autism symptoms. This study investigated if atypical white matter microstructure in the brain mediated the relationship between motor skills and ASD symptom severity. Sixty-seven males with ASD and 42 males with typical development (5–33 years old) completed a diffusion tensor imaging scan and measures of grip strength, finger tapping, and autism symptom severity. Within the ASD group, weaker grip strength predicted more severe autism symptoms. Fractional anisotropy of the brainstem’s corticospinal tract predicted both grip strength and autism symptom severity and mediated the relationship between the two. These findings suggest that brainstem white matter may contribute to autism symptoms and grip strength in ASD. En ligne : http://dx.doi.org/10.1007/s10803-015-2467-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267

Corpus callosum area in children and adults with autism / Molly D.B. PRIGGE in Research in Autism Spectrum Disorders, 7-2 (February 2013)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 7-2 (February 2013) . - p.221-234 Titre : Corpus callosum area in children and adults with autism Type de document : texte imprimé Auteurs : Molly D.B. PRIGGE, Auteur ; Nicholas LANGE, Auteur ; Erin D. BIGLER, Auteur ; Tricia L. MERKLEY, Auteur ; E. Shannon NEELEY, Auteur ; Tracy J. ABILDSKOV, Auteur ; Alyson L. FROEHLICH, Auteur ; Jared A. NIELSEN, Auteur ; Jason R. COOPERRIDER, Auteur ; Annahir N. CARIELLO, Auteur ; Caitlin RAVICHANDRAN, Auteur ; Andrew A. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur Année de publication : 2013 Article en page(s) : p.221-234 Langues : Anglais (eng) Mots-clés : Autism  Corpus callosum area  Development  MRI Index. décimale : PER Périodiques Résumé : Despite repeated findings of abnormal corpus callosum structure in autism, the developmental trajectories of corpus callosum growth in the disorder have not yet been reported. In this study, we examined corpus callosum size from a developmental perspective across a 30-year age range in a large cross-sectional sample of individuals with autism compared to a typically developing sample. Midsagittal corpus callosum area and the 7 Witelson subregions were examined in 68 males with autism (mean age 14.1 years; range 3'36 years) and 47 males with typical development (mean age 15.3 years; range 4'29 years). Controlling for total brain volume, increased variability in total corpus callosum area was found in autism. In autism, increased midsagittal areas were associated with reduced severity of autism behaviors, higher intelligence, and faster speed of processing (p = 0.003, p = 0.011, p = 0.013, respectively). A trend toward group differences in isthmus development was found (p = 0.029, uncorrected). These results suggest that individuals with autism benefit functionally from increased corpus callosum area. Our cross-sectional examination also shows potential maturational abnormalities in autism, a finding that should be examined further with longitudinal datasets. En ligne : http://dx.doi.org/10.1016/j.rasd.2012.09.007 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=186 [article] Corpus callosum area in children and adults with autism [texte imprimé] / Molly D.B. PRIGGE, Auteur ; Nicholas LANGE, Auteur ; Erin D. BIGLER, Auteur ; Tricia L. MERKLEY, Auteur ; E. Shannon NEELEY, Auteur ; Tracy J. ABILDSKOV, Auteur ; Alyson L. FROEHLICH, Auteur ; Jared A. NIELSEN, Auteur ; Jason R. COOPERRIDER, Auteur ; Annahir N. CARIELLO, Auteur ; Caitlin RAVICHANDRAN, Auteur ; Andrew A. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur . - 2013 . - p.221-234. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 7-2 (February 2013) . - p.221-234 Mots-clés : Autism  Corpus callosum area  Development  MRI Index. décimale : PER Périodiques Résumé : Despite repeated findings of abnormal corpus callosum structure in autism, the developmental trajectories of corpus callosum growth in the disorder have not yet been reported. In this study, we examined corpus callosum size from a developmental perspective across a 30-year age range in a large cross-sectional sample of individuals with autism compared to a typically developing sample. Midsagittal corpus callosum area and the 7 Witelson subregions were examined in 68 males with autism (mean age 14.1 years; range 3'36 years) and 47 males with typical development (mean age 15.3 years; range 4'29 years). Controlling for total brain volume, increased variability in total corpus callosum area was found in autism. In autism, increased midsagittal areas were associated with reduced severity of autism behaviors, higher intelligence, and faster speed of processing (p = 0.003, p = 0.011, p = 0.013, respectively). A trend toward group differences in isthmus development was found (p = 0.029, uncorrected). These results suggest that individuals with autism benefit functionally from increased corpus callosum area. Our cross-sectional examination also shows potential maturational abnormalities in autism, a finding that should be examined further with longitudinal datasets. En ligne : http://dx.doi.org/10.1016/j.rasd.2012.09.007 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=186

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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Relationship between brain stem volume and aggression in children diagnosed with autism spectrum disorder / Rebecca A. LUNDWALL in Research in Autism Spectrum Disorders, 34 (February 2017)  

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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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