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 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

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

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)  

Permalink

Reduced lateralization of multiple functional brain networks in autistic males / Madeline PETERSON in Journal of Neurodevelopmental Disorders, 16 (2024)  

Permalink

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

Permalink

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)  

Permalink

---

1 (1 - 9 / 9) Par page : 25 50 100 200