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 et/ou numérique Auteurs : J. B. KING, Auteur ; M. B. D. PRIGGE, Auteur ; C. K. KING, Auteur ; J. MORGAN, Auteur ; F. WEATHERSBY, Auteur ; J. C. FOX, Auteur ; D. C. DEAN, Auteur ; A. FREEMAN, Auteur ; J. A. M. VILLARUZ, Auteur ; Karen L. KANE, Auteur ; Erin D. BIGLER, Auteur ; A. L. ALEXANDER, Auteur ; N. LANGE, Auteur ; B. ZIELINSKI, Auteur ; J. 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 et/ou numérique] / J. B. KING, Auteur ; M. B. D. PRIGGE, Auteur ; C. K. KING, Auteur ; J. MORGAN, Auteur ; F. WEATHERSBY, Auteur ; J. C. FOX, Auteur ; D. C. DEAN, Auteur ; A. FREEMAN, Auteur ; J. A. M. VILLARUZ, Auteur ; Karen L. KANE, Auteur ; Erin D. BIGLER, Auteur ; A. L. ALEXANDER, Auteur ; N. LANGE, Auteur ; B. ZIELINSKI, Auteur ; J. 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 / K. MCLAUGHLIN in Autism Research, 11-3 (March 2018)  

Public ISBD [article]  inAutism Research > 11-3 (March 2018) . - p.450-462 Titre : Longitudinal development of thalamic and internal capsule microstructure in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : K. MCLAUGHLIN, Auteur ; B. G. TRAVERS, Auteur ; O. I. DADALKO, Auteur ; D. C. DEAN, Auteur ; D. TROMP, Auteur ; Nagesh ADLURU, Auteur ; Dan DESTICHE, Auteur ; A. FREEMAN, Auteur ; M. D. PRIGGE, Auteur ; A. FROEHLICH, Auteur ; T. C. DUFFIELD, Auteur ; B. A. ZIELINSKI, Auteur ; Erin D. BIGLER, Auteur ; N. LANGE, Auteur ; Jeffrey S. ANDERSON, Auteur ; A. L. ALEXANDER, Auteur ; J. E. LAINHART, Auteur Article en page(s) : p.450-462 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  diffusion magnetic resonance imaging  internal capsule  thalamus  white matter Index. décimale : PER Périodiques Résumé : The thalamus is a key sensorimotor relay area that is implicated in autism spectrum disorder (ASD). However, it is unknown how the thalamus and white-matter structures that contain thalamo-cortical fiber connections (e.g., the internal capsule) develop from childhood into adulthood and whether this microstructure relates to basic motor challenges in ASD. We used diffusion weighted imaging in a cohort-sequential design to assess longitudinal development of the thalamus, and posterior- and anterior-limbs of the internal capsule (PLIC and ALIC, respectively) in 89 males with ASD and 56 males with typical development (3-41 years; all verbal). Our results showed that the group with ASD exhibited different developmental trajectories of microstructure in all regions, demonstrating childhood group differences that appeared to approach and, in some cases, surpass the typically developing group in adolescence and adulthood. The PLIC (but not ALIC nor thalamus) mediated the relation between age and finger-tapping speed in both groups. Yet, the gap in finger-tapping speed appeared to widen at the same time that the between-group gap in the PLIC appeared to narrow. Overall, these results suggest that childhood group differences in microstructure of the thalamus and PLIC become less robust in adolescence and adulthood. Further, finger-tapping speed appears to be mediated by the PLIC in both groups, but group differences in motor speed that widen during adolescence and adulthood suggest that factors beyond the microstructure of the thalamus and internal capsule may contribute to atypical motor profiles in ASD. Autism Res 2018, 11: 450-462. (c) 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Microstructure of the thalamus, a key sensory and motor brain area, appears to develop differently in individuals with autism spectrum disorder (ASD). Microstructure is important because it informs us of the density and organization of different brain tissues. During childhood, thalamic microstructure was distinct in the ASD group compared to the typically developing group. However, these group differences appeared to narrow with age, suggesting that the thalamus continues to dynamically change in ASD into adulthood. En ligne : http://dx.doi.org/10.1002/aur.1909 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=352 [article] Longitudinal development of thalamic and internal capsule microstructure in autism spectrum disorder [Texte imprimé et/ou numérique] / K. MCLAUGHLIN, Auteur ; B. G. TRAVERS, Auteur ; O. I. DADALKO, Auteur ; D. C. DEAN, Auteur ; D. TROMP, Auteur ; Nagesh ADLURU, Auteur ; Dan DESTICHE, Auteur ; A. FREEMAN, Auteur ; M. D. PRIGGE, Auteur ; A. FROEHLICH, Auteur ; T. C. DUFFIELD, Auteur ; B. A. ZIELINSKI, Auteur ; Erin D. BIGLER, Auteur ; N. LANGE, Auteur ; Jeffrey S. ANDERSON, Auteur ; A. L. ALEXANDER, Auteur ; J. E. LAINHART, Auteur . - p.450-462. Langues : Anglais (eng) in Autism Research > 11-3 (March 2018) . - p.450-462 Mots-clés : autism spectrum disorder  diffusion magnetic resonance imaging  internal capsule  thalamus  white matter Index. décimale : PER Périodiques Résumé : The thalamus is a key sensorimotor relay area that is implicated in autism spectrum disorder (ASD). However, it is unknown how the thalamus and white-matter structures that contain thalamo-cortical fiber connections (e.g., the internal capsule) develop from childhood into adulthood and whether this microstructure relates to basic motor challenges in ASD. We used diffusion weighted imaging in a cohort-sequential design to assess longitudinal development of the thalamus, and posterior- and anterior-limbs of the internal capsule (PLIC and ALIC, respectively) in 89 males with ASD and 56 males with typical development (3-41 years; all verbal). Our results showed that the group with ASD exhibited different developmental trajectories of microstructure in all regions, demonstrating childhood group differences that appeared to approach and, in some cases, surpass the typically developing group in adolescence and adulthood. The PLIC (but not ALIC nor thalamus) mediated the relation between age and finger-tapping speed in both groups. Yet, the gap in finger-tapping speed appeared to widen at the same time that the between-group gap in the PLIC appeared to narrow. Overall, these results suggest that childhood group differences in microstructure of the thalamus and PLIC become less robust in adolescence and adulthood. Further, finger-tapping speed appears to be mediated by the PLIC in both groups, but group differences in motor speed that widen during adolescence and adulthood suggest that factors beyond the microstructure of the thalamus and internal capsule may contribute to atypical motor profiles in ASD. Autism Res 2018, 11: 450-462. (c) 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Microstructure of the thalamus, a key sensory and motor brain area, appears to develop differently in individuals with autism spectrum disorder (ASD). Microstructure is important because it informs us of the density and organization of different brain tissues. During childhood, thalamic microstructure was distinct in the ASD group compared to the typically developing group. However, these group differences appeared to narrow with age, suggesting that the thalamus continues to dynamically change in ASD into adulthood. En ligne : http://dx.doi.org/10.1002/aur.1909 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=352

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

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 48-10 (October 2018) . - p.3319-3329 Titre : Social Responsiveness Scale (SRS) in Relation to Longitudinal Cortical Thickness Changes in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : M. B. D. PRIGGE, Auteur ; Erin D. BIGLER, Auteur ; B. G. TRAVERS, Auteur ; A. FROEHLICH, Auteur ; Tracy J. ABILDSKOV, Auteur ; Jeffrey S. ANDERSON, Auteur ; A. L. ALEXANDER, Auteur ; N. LANGE, Auteur ; J. E. LAINHART, Auteur ; B. A. ZIELINSKI, Auteur Article en page(s) : p.3319-3329 Langues : Anglais (eng) Mots-clés : Autism severity  Autism spectrum disorder (ASD)  Brain development  Cortical thickness  Longitudinal  Social Responsiveness Scale (SRS) Index. décimale : PER Périodiques Résumé : The relationship between brain development and clinical heterogeneity in autism (ASD) is unknown. This study examines the Social Responsiveness Scale (SRS) in relation to the longitudinal development of cortical thickness. Participants (N = 91 ASD, N = 56 TDC; 3-39 years at first scan) were scanned up to three times over a 7-year period. Mixed-effects models examined cortical thickness in relation to SRS score. ASD participants with higher SRS scores showed regionally increased age-related cortical thinning. Regional thickness differences and reduced age-related cortical thinning were found in predominantly right lateralized regions in ASD with decreasing SRS scores over time. Our findings emphasize the importance of examining clinical phenotypes in brain-based studies of ASD. En ligne : http://dx.doi.org/10.1007/s10803-018-3566-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 [article] Social Responsiveness Scale (SRS) in Relation to Longitudinal Cortical Thickness Changes in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / M. B. D. PRIGGE, Auteur ; Erin D. BIGLER, Auteur ; B. G. TRAVERS, Auteur ; A. FROEHLICH, Auteur ; Tracy J. ABILDSKOV, Auteur ; Jeffrey S. ANDERSON, Auteur ; A. L. ALEXANDER, Auteur ; N. LANGE, Auteur ; J. E. LAINHART, Auteur ; B. A. ZIELINSKI, Auteur . - p.3319-3329. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 48-10 (October 2018) . - p.3319-3329 Mots-clés : Autism severity  Autism spectrum disorder (ASD)  Brain development  Cortical thickness  Longitudinal  Social Responsiveness Scale (SRS) Index. décimale : PER Périodiques Résumé : The relationship between brain development and clinical heterogeneity in autism (ASD) is unknown. This study examines the Social Responsiveness Scale (SRS) in relation to the longitudinal development of cortical thickness. Participants (N = 91 ASD, N = 56 TDC; 3-39 years at first scan) were scanned up to three times over a 7-year period. Mixed-effects models examined cortical thickness in relation to SRS score. ASD participants with higher SRS scores showed regionally increased age-related cortical thinning. Regional thickness differences and reduced age-related cortical thinning were found in predominantly right lateralized regions in ASD with decreasing SRS scores over time. Our findings emphasize the importance of examining clinical phenotypes in brain-based studies of ASD. En ligne : http://dx.doi.org/10.1007/s10803-018-3566-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369

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