Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes / Christy D. YOON in Autism Research, 18-11 (November 2025)  

Public ISBD [article]  inAutism Research > 18-11 (November 2025) . - p.2140-2165 Titre : Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes Type de document : texte imprimé Auteurs : Christy D. YOON, Auteur ; Douglas C. DEAN III, Auteur Article en page(s) : p.2140-2165 Langues : Anglais (eng) Mots-clés : advanced quantitative MRI  autism  CSD  DKI  microstructure  MTI  NODDI  relaxometry Index. décimale : PER Périodiques Résumé : ABSTRACT Emerging evidence highlights widespread alterations in white matter microstructure in autism. Advances in magnetic resonance imaging (MRI) have enabled more precise examinations of these microstructural changes, leading to increased use of quantitative MRI techniques in autism research. This review summarizes the current landscape of these techniques, focusing on methodology, group differences, developmental associations, and regional variations. Following PRISMA guidelines, 34 studies published between 2006 and 2024 that employed advanced MRI techniques were reviewed. These included diffusion MRI signal representations (diffusion kurtosis imaging [DKI] and constrained spherical deconvolution [CSD]) and biophysical models (neurite orientation dispersion and density imaging [NODDI] and white matter tract integrity [WMTI]), as well as relaxometry and magnetization transfer imaging (MTI). CSD and NODDI were the most frequently used, while MTI was the least utilized, with notable variations in acquisition parameters and processing methods across the techniques. Findings suggest relatively consistent lower values of fixel-based analysis measures (CSD) and neurite density index (NODDI) across major white matter regions, while findings from DKI, WMTI, and relaxometry varied. Measures from these techniques were associated with various developmental outcomes, including cognitive, emotional, and social behaviors. Limitations and implications are also discussed. En ligne : https://doi.org/10.1002/aur.70122 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=571 [article] Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes [texte imprimé] / Christy D. YOON, Auteur ; Douglas C. DEAN III, Auteur . - p.2140-2165. Langues : Anglais (eng) in Autism Research > 18-11 (November 2025) . - p.2140-2165 Mots-clés : advanced quantitative MRI  autism  CSD  DKI  microstructure  MTI  NODDI  relaxometry Index. décimale : PER Périodiques Résumé : ABSTRACT Emerging evidence highlights widespread alterations in white matter microstructure in autism. Advances in magnetic resonance imaging (MRI) have enabled more precise examinations of these microstructural changes, leading to increased use of quantitative MRI techniques in autism research. This review summarizes the current landscape of these techniques, focusing on methodology, group differences, developmental associations, and regional variations. Following PRISMA guidelines, 34 studies published between 2006 and 2024 that employed advanced MRI techniques were reviewed. These included diffusion MRI signal representations (diffusion kurtosis imaging [DKI] and constrained spherical deconvolution [CSD]) and biophysical models (neurite orientation dispersion and density imaging [NODDI] and white matter tract integrity [WMTI]), as well as relaxometry and magnetization transfer imaging (MTI). CSD and NODDI were the most frequently used, while MTI was the least utilized, with notable variations in acquisition parameters and processing methods across the techniques. Findings suggest relatively consistent lower values of fixel-based analysis measures (CSD) and neurite density index (NODDI) across major white matter regions, while findings from DKI, WMTI, and relaxometry varied. Measures from these techniques were associated with various developmental outcomes, including cognitive, emotional, and social behaviors. Limitations and implications are also discussed. En ligne : https://doi.org/10.1002/aur.70122 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=571

Biofeedback-Based, Videogame Balance Training in Autism / Brittany G. TRAVERS in Journal of Autism and Developmental Disorders, 48-1 (January 2018)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 48-1 (January 2018) . - p.163-175 Titre : Biofeedback-Based, Videogame Balance Training in Autism Type de document : texte imprimé Auteurs : Brittany G. TRAVERS, Auteur ; Andrea H. MASON, Auteur ; Leigh Ann MROTEK, Auteur ; Anthony ELLERTSON, Auteur ; Douglas C. DEAN III, Auteur ; Courtney ENGEL, Auteur ; Andres GOMEZ, Auteur ; Olga I. DADALKO, Auteur ; Kristine MCLAUGHLIN, Auteur Article en page(s) : p.163-175 Langues : Anglais (eng) Mots-clés : Motor  Postural stability  Technology-based interventions  Video game Index. décimale : PER Périodiques Résumé : The present study examined the effects of a visual-based biofeedback training on improving balance challenges in autism spectrum disorder (ASD). Twenty-nine youth with ASD (7-17 years) completed an intensive 6-week biofeedback-based videogame balance training. Participants exhibited training-related balance improvements that significantly accounted for postural-sway improvements outside of training. Participants perceived the training as beneficial and enjoyable. Significant moderators of training included milder stereotyped and ritualistic behaviors and better starting balance. Neither IQ nor BMI moderated training. These results suggest that biofeedback-based balance training is associated with balance improvements in youth with ASD, most robustly in those with less severe repetitive behaviors and better starting balance. The training was perceived as motivating, further suggesting its efficacy and likelihood of use. En ligne : https://doi.org/10.1007/s10803-017-3310-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=337 [article] Biofeedback-Based, Videogame Balance Training in Autism [texte imprimé] / Brittany G. TRAVERS, Auteur ; Andrea H. MASON, Auteur ; Leigh Ann MROTEK, Auteur ; Anthony ELLERTSON, Auteur ; Douglas C. DEAN III, Auteur ; Courtney ENGEL, Auteur ; Andres GOMEZ, Auteur ; Olga I. DADALKO, Auteur ; Kristine MCLAUGHLIN, Auteur . - p.163-175. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 48-1 (January 2018) . - p.163-175 Mots-clés : Motor  Postural stability  Technology-based interventions  Video game Index. décimale : PER Périodiques Résumé : The present study examined the effects of a visual-based biofeedback training on improving balance challenges in autism spectrum disorder (ASD). Twenty-nine youth with ASD (7-17 years) completed an intensive 6-week biofeedback-based videogame balance training. Participants exhibited training-related balance improvements that significantly accounted for postural-sway improvements outside of training. Participants perceived the training as beneficial and enjoyable. Significant moderators of training included milder stereotyped and ritualistic behaviors and better starting balance. Neither IQ nor BMI moderated training. These results suggest that biofeedback-based balance training is associated with balance improvements in youth with ASD, most robustly in those with less severe repetitive behaviors and better starting balance. The training was perceived as motivating, further suggesting its efficacy and likelihood of use. En ligne : https://doi.org/10.1007/s10803-017-3310-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=337

Brainstem white matter microstructure is associated with hyporesponsiveness and overall sensory features in autistic children / Olivia SURGENT in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 48 p. Titre : Brainstem white matter microstructure is associated with hyporesponsiveness and overall sensory features in autistic children Type de document : texte imprimé Auteurs : Olivia SURGENT, Auteur ; Ali RIAZ, Auteur ; Karla K. AUSDERAU, Auteur ; Nagesh ADLURU, Auteur ; Gregory R. KIRK, Auteur ; Jose GUERRERO-GONZALEZ, Auteur ; Emily C. SKALETSKI, Auteur ; Steven R. KECSKEMETI, Auteur ; Douglas C. DEAN III, Auteur ; Susan ELLIS WEISMER, Auteur ; Andrew L. ALEXANDER, Auteur ; Brittany G. TRAVERS, Auteur Article en page(s) : 48 p. Langues : Anglais (eng) Mots-clés : Humans  Child  White Matter  Brain  Quality of Life  Autistic Disorder  Brain Stem  Autism  Brainstem  Dti  Sensory features  Voxel-based analysis  White matter  TherVoyant). While both companies are involved in developing MRI-based surgery  techniques, neither are associated with any current areas of his research,  including the present publication. All other authors report no biomedical  financial interests of potential conflicts of interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Elevated or reduced responses to sensory stimuli, known as sensory features, are common in autistic individuals and often impact quality of life. Little is known about the neurobiological basis of sensory features in autistic children. However, the brainstem may offer critical insights as it has been associated with both basic sensory processing and core features of autism. METHODS: Diffusion-weighted imaging (DWI) and parent-report of sensory features were acquired from 133 children (61 autistic children with and 72 non-autistic children, 6-11 years-old). Leveraging novel DWI processing techniques, we investigated the relationship between sensory features and white matter microstructure properties (free-water-elimination-corrected fractional anisotropy [FA] and mean diffusivity [MD]) in precisely delineated brainstem white matter tracts. Follow-up analyses assessed relationships between microstructure and sensory response patterns/modalities and analyzed whole brain white matter using voxel-based analysis. RESULTS: Results revealed distinct relationships between brainstem microstructure and sensory features in autistic children compared to non-autistic children. In autistic children, more prominent sensory features were generally associated with lower MD. Further, in autistic children, sensory hyporesponsiveness and tactile responsivity were strongly associated with white matter microstructure in nearly all brainstem tracts. Follow-up voxel-based analyses confirmed that these relationships were more prominent in the brainstem/cerebellum, with additional sensory-brain findings in the autistic group in the white matter of the primary motor and somatosensory cortices, the occipital lobe, the inferior parietal lobe, and the thalamic projections. LIMITATIONS: All participants communicated via spoken language and acclimated to the sensory environment of an MRI session, which should be considered when assessing the generalizability of this work to the whole of the autism spectrum. CONCLUSIONS: These findings suggest unique brainstem white matter contributions to sensory features in autistic children compared to non-autistic children. The brainstem correlates of sensory features underscore the potential reflex-like nature of behavioral responses to sensory stimuli in autism and have implications for how we conceptualize and address sensory features in autistic populations. En ligne : http://dx.doi.org/10.1186/s13229-022-00524-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Brainstem white matter microstructure is associated with hyporesponsiveness and overall sensory features in autistic children [texte imprimé] / Olivia SURGENT, Auteur ; Ali RIAZ, Auteur ; Karla K. AUSDERAU, Auteur ; Nagesh ADLURU, Auteur ; Gregory R. KIRK, Auteur ; Jose GUERRERO-GONZALEZ, Auteur ; Emily C. SKALETSKI, Auteur ; Steven R. KECSKEMETI, Auteur ; Douglas C. DEAN III, Auteur ; Susan ELLIS WEISMER, Auteur ; Andrew L. ALEXANDER, Auteur ; Brittany G. TRAVERS, Auteur . - 48 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 48 p. Mots-clés : Humans  Child  White Matter  Brain  Quality of Life  Autistic Disorder  Brain Stem  Autism  Brainstem  Dti  Sensory features  Voxel-based analysis  White matter  TherVoyant). While both companies are involved in developing MRI-based surgery  techniques, neither are associated with any current areas of his research,  including the present publication. All other authors report no biomedical  financial interests of potential conflicts of interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Elevated or reduced responses to sensory stimuli, known as sensory features, are common in autistic individuals and often impact quality of life. Little is known about the neurobiological basis of sensory features in autistic children. However, the brainstem may offer critical insights as it has been associated with both basic sensory processing and core features of autism. METHODS: Diffusion-weighted imaging (DWI) and parent-report of sensory features were acquired from 133 children (61 autistic children with and 72 non-autistic children, 6-11 years-old). Leveraging novel DWI processing techniques, we investigated the relationship between sensory features and white matter microstructure properties (free-water-elimination-corrected fractional anisotropy [FA] and mean diffusivity [MD]) in precisely delineated brainstem white matter tracts. Follow-up analyses assessed relationships between microstructure and sensory response patterns/modalities and analyzed whole brain white matter using voxel-based analysis. RESULTS: Results revealed distinct relationships between brainstem microstructure and sensory features in autistic children compared to non-autistic children. In autistic children, more prominent sensory features were generally associated with lower MD. Further, in autistic children, sensory hyporesponsiveness and tactile responsivity were strongly associated with white matter microstructure in nearly all brainstem tracts. Follow-up voxel-based analyses confirmed that these relationships were more prominent in the brainstem/cerebellum, with additional sensory-brain findings in the autistic group in the white matter of the primary motor and somatosensory cortices, the occipital lobe, the inferior parietal lobe, and the thalamic projections. LIMITATIONS: All participants communicated via spoken language and acclimated to the sensory environment of an MRI session, which should be considered when assessing the generalizability of this work to the whole of the autism spectrum. CONCLUSIONS: These findings suggest unique brainstem white matter contributions to sensory features in autistic children compared to non-autistic children. The brainstem correlates of sensory features underscore the potential reflex-like nature of behavioral responses to sensory stimuli in autism and have implications for how we conceptualize and address sensory features in autistic populations. En ligne : http://dx.doi.org/10.1186/s13229-022-00524-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

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 development of thalamic and internal capsule microstructure in autism spectrum disorder / Kristine 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 Auteurs : Kristine MCLAUGHLIN, Auteur ; Brittany G. TRAVERS, Auteur ; Olga I. DADALKO, Auteur ; Douglas C. DEAN III, Auteur ; Do TROMP, Auteur ; Nagesh ADLURU, Auteur ; Dan DESTICHE, Auteur ; Abigail FREEMAN, Auteur ; Molly D.B. PRIGGE, Auteur ; Alyson L. FROEHLICH, Auteur ; Tyler C. DUFFIELD, Auteur ; Brandon A. ZIELINSKI, Auteur ; Erin D. BIGLER, Auteur ; Nicholas LANGE, Auteur ; Jeffrey S. ANDERSON, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet 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] / Kristine MCLAUGHLIN, Auteur ; Brittany G. TRAVERS, Auteur ; Olga I. DADALKO, Auteur ; Douglas C. DEAN III, Auteur ; Do TROMP, Auteur ; Nagesh ADLURU, Auteur ; Dan DESTICHE, Auteur ; Abigail FREEMAN, Auteur ; Molly D.B. PRIGGE, Auteur ; Alyson L. FROEHLICH, Auteur ; Tyler C. DUFFIELD, Auteur ; Brandon A. ZIELINSKI, Auteur ; Erin D. BIGLER, Auteur ; Nicholas LANGE, Auteur ; Jeffrey S. ANDERSON, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet 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

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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Role of autonomic, nociceptive, and limbic brainstem nuclei in core autism features / Brittany G. TRAVERS in Autism Research, 17-2 (February 2024)  

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Standing balance on unsteady surfaces in children on the autism spectrum: The effects of IQ / Brittany G. TRAVERS in Research in Autism Spectrum Disorders, 51 (July 2018)  

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