456 recherche sur le mot-clé 'brain'

Age-related changes in brain signal variability in autism spectrum disorder / Nicholas KATHREIN ; Elijah GRAGAS ; Lauren KUPIS ; Lucina Q. UDDIN ; Jason S. NOMI in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 8 Titre : Age-related changes in brain signal variability in autism spectrum disorder Type de document : texte imprimé Auteurs : Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q. UDDIN, Auteur ; Jason S. NOMI, Auteur Article en page(s) : 8 Langues : Anglais (eng) Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Age-related changes in brain signal variability in autism spectrum disorder [texte imprimé] / Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q. UDDIN, Auteur ; Jason S. NOMI, Auteur . - 8. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 8 Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults / Salahuddin MOHAMMAD in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 34p. Titre : Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults Type de document : texte imprimé Auteurs : Salahuddin MOHAMMAD, Auteur ; Mélissa GENTREAU, Auteur ; Manon DUBOL, Auteur ; Gull RUKH, Auteur ; Jessica MWINYI, Auteur ; Helgi B. SCHIÖTH, Auteur Article en page(s) : 34p. Langues : Anglais (eng) Mots-clés : Humans  Cerebellum/diagnostic imaging/pathology  Brain Stem/diagnostic imaging/pathology  Magnetic Resonance Imaging  Male  Female  Phenotype  Adult  Multifactorial Inheritance  Genetic Predisposition to Disease  Organ Size  Middle Aged  Autistic Disorder/genetics/diagnostic imaging  Genome-Wide Association Study  Autism Spectrum Disorder/genetics/diagnostic imaging  Gray Matter/diagnostic imaging/pathology  Case-Control Studies  Autism  Brain MRI  Brainstem  Cerebellum  Polygenic risk score Index. décimale : PER Périodiques Résumé : Previous research on autism spectrum disorders (ASD) have showed important volumetric alterations in the cerebellum and brainstem. Most of these studies are however limited to case-control studies with small clinical samples and including mainly children or adolescents. Herein, we aimed to explore the association between the cumulative genetic load (polygenic risk score, PRS) for ASD and volumetric alterations in the cerebellum and brainstem, as well as global brain tissue volumes of the brain among adults at the population level. We utilized the latest genome-wide association study of ASD by the Psychiatric Genetics Consortium (18,381 cases, 27,969 controls) and constructed the ASD PRS in an independent cohort, the UK Biobank. Regression analyses controlled for multiple comparisons with the false-discovery rate (FDR) at 5% were performed to investigate the association between ASD PRS and forty-four brain magnetic resonance imaging (MRI) phenotypes among ~ 31,000 participants. Primary analyses included sixteen MRI phenotypes: total volumes of the brain, cerebrospinal fluid (CSF), grey matter (GM), white matter (WM), GM of whole cerebellum, brainstem, and ten regions of the cerebellum (I_IV, V, VI, VIIb, VIIIa, VIIIb, IX, X, CrusI and CrusII). Secondary analyses included twenty-eight MRI phenotypes: the sub-regional volumes of cerebellum including the GM of the vermis and both left and right lobules of each cerebellar region. ASD PRS were significantly associated with the volumes of seven brain areas, whereby higher PRS were associated to reduced volumes of the whole brain, WM, brainstem, and cerebellar regions I-IV, IX, and X, and an increased volume of the CSF. Three sub-regional volumes including the left cerebellar lobule I-IV, cerebellar vermes VIIIb, and X were significantly and negatively associated with ASD PRS. The study highlights a substantial connection between susceptibility to ASD, its underlying genetic etiology, and neuroanatomical alterations of the adult brain. En ligne : https://dx.doi.org/10.1186/s13229-024-00611-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults [texte imprimé] / Salahuddin MOHAMMAD, Auteur ; Mélissa GENTREAU, Auteur ; Manon DUBOL, Auteur ; Gull RUKH, Auteur ; Jessica MWINYI, Auteur ; Helgi B. SCHIÖTH, Auteur . - 34p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 34p. Mots-clés : Humans  Cerebellum/diagnostic imaging/pathology  Brain Stem/diagnostic imaging/pathology  Magnetic Resonance Imaging  Male  Female  Phenotype  Adult  Multifactorial Inheritance  Genetic Predisposition to Disease  Organ Size  Middle Aged  Autistic Disorder/genetics/diagnostic imaging  Genome-Wide Association Study  Autism Spectrum Disorder/genetics/diagnostic imaging  Gray Matter/diagnostic imaging/pathology  Case-Control Studies  Autism  Brain MRI  Brainstem  Cerebellum  Polygenic risk score Index. décimale : PER Périodiques Résumé : Previous research on autism spectrum disorders (ASD) have showed important volumetric alterations in the cerebellum and brainstem. Most of these studies are however limited to case-control studies with small clinical samples and including mainly children or adolescents. Herein, we aimed to explore the association between the cumulative genetic load (polygenic risk score, PRS) for ASD and volumetric alterations in the cerebellum and brainstem, as well as global brain tissue volumes of the brain among adults at the population level. We utilized the latest genome-wide association study of ASD by the Psychiatric Genetics Consortium (18,381 cases, 27,969 controls) and constructed the ASD PRS in an independent cohort, the UK Biobank. Regression analyses controlled for multiple comparisons with the false-discovery rate (FDR) at 5% were performed to investigate the association between ASD PRS and forty-four brain magnetic resonance imaging (MRI) phenotypes among ~ 31,000 participants. Primary analyses included sixteen MRI phenotypes: total volumes of the brain, cerebrospinal fluid (CSF), grey matter (GM), white matter (WM), GM of whole cerebellum, brainstem, and ten regions of the cerebellum (I_IV, V, VI, VIIb, VIIIa, VIIIb, IX, X, CrusI and CrusII). Secondary analyses included twenty-eight MRI phenotypes: the sub-regional volumes of cerebellum including the GM of the vermis and both left and right lobules of each cerebellar region. ASD PRS were significantly associated with the volumes of seven brain areas, whereby higher PRS were associated to reduced volumes of the whole brain, WM, brainstem, and cerebellar regions I-IV, IX, and X, and an increased volume of the CSF. Three sub-regional volumes including the left cerebellar lobule I-IV, cerebellar vermes VIIIb, and X were significantly and negatively associated with ASD PRS. The study highlights a substantial connection between susceptibility to ASD, its underlying genetic etiology, and neuroanatomical alterations of the adult brain. En ligne : https://dx.doi.org/10.1186/s13229-024-00611-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Autism spectrum disorders: Neuroimaging findings from systematic reviews / Emmanuel Peng Kiat PUA in Research in Autism Spectrum Disorders, 34 (February 2017)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 34 (February 2017) . - p.28-33 Titre : Autism spectrum disorders: Neuroimaging findings from systematic reviews Type de document : texte imprimé Auteurs : Emmanuel Peng Kiat PUA, Auteur ; Stephen C. BOWDEN, Auteur ; Marc L. SEAL, Auteur Article en page(s) : p.28-33 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Brain structure  Brain function  Brain connectivity  Neuroimaging  Magnetic resonance imaging Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorders (ASD) are a cluster of neurodevelopmental conditions associated with core deficits in social communication, social interaction, and restricted and repetitive behaviours. Current evidence suggests a complex interaction between genetic and environmental factors that underlie the heterogeneity of neuroanatomy and clinical symptomatology of ASD across a spectrum. Although abnormalities in brain structure and function have been implicated in the neurodevelopmental trajectory of ASD, the search for definitive neuroimaging markers remains obscured by inconsistent or incompatible findings. Specifically, discrepancies between independent studies impede reliable identification of the nature and form of atypical alterations in grey-matter structural morphometry and intrinsic functional networks in ASD. This review aims to illustrate the heterogeneity in ASD neuroimaging literature by comparing systematic reviews and meta-analyses of neuroimaging investigations in ASD over the last several decades, with particular emphasis on structural morphometry, structural connectivity and resting-state intrinsic connectivity techniques. Given the unique challenges in ASD research, standardized methodologies to validate potential neuroimaging markers will be an important step towards advancing clinical and research methods to investigate complex aetiological mechanisms and risk factors underlying ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.11.005 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298 [article] Autism spectrum disorders: Neuroimaging findings from systematic reviews [texte imprimé] / Emmanuel Peng Kiat PUA, Auteur ; Stephen C. BOWDEN, Auteur ; Marc L. SEAL, Auteur . - p.28-33. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 34 (February 2017) . - p.28-33 Mots-clés : Autism spectrum disorders  Brain structure  Brain function  Brain connectivity  Neuroimaging  Magnetic resonance imaging Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorders (ASD) are a cluster of neurodevelopmental conditions associated with core deficits in social communication, social interaction, and restricted and repetitive behaviours. Current evidence suggests a complex interaction between genetic and environmental factors that underlie the heterogeneity of neuroanatomy and clinical symptomatology of ASD across a spectrum. Although abnormalities in brain structure and function have been implicated in the neurodevelopmental trajectory of ASD, the search for definitive neuroimaging markers remains obscured by inconsistent or incompatible findings. Specifically, discrepancies between independent studies impede reliable identification of the nature and form of atypical alterations in grey-matter structural morphometry and intrinsic functional networks in ASD. This review aims to illustrate the heterogeneity in ASD neuroimaging literature by comparing systematic reviews and meta-analyses of neuroimaging investigations in ASD over the last several decades, with particular emphasis on structural morphometry, structural connectivity and resting-state intrinsic connectivity techniques. Given the unique challenges in ASD research, standardized methodologies to validate potential neuroimaging markers will be an important step towards advancing clinical and research methods to investigate complex aetiological mechanisms and risk factors underlying ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.11.005 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298

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

Differences in sleep EEG coherence and spindle metrics in toddlers with and without receptive/expressive language delay: a prospective observational study / Xinyi HONG in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Differences in sleep EEG coherence and spindle metrics in toddlers with and without receptive/expressive language delay: a prospective observational study Type de document : texte imprimé Auteurs : Xinyi HONG, Auteur ; Cristan FARMER, Auteur ; Nataliia KOZHEMIAKO, Auteur ; Gregory L. HOLMES, Auteur ; Lauren THOMPSON, Auteur ; Stacy MANWARING, Auteur ; Audrey THURM, Auteur ; Ashura BUCKLEY, Auteur Langues : Anglais (eng) Mots-clés : Humans  Electroencephalography  Female  Male  Infant  Language Development Disorders/physiopathology  Child, Preschool  Sleep/physiology  Prospective Studies  Brain/physiopathology  Brain Waves/physiology  Brain development  Cognitive function  Diagnostic markers  Language delay  Neurophysiology  Sleep architecture  by the NIH Institutional Review Board (protocol 11-M-0144  NCT01339767). Consent  was obtained from parents or guardians of participants prior to their  participation. Consent for publication: Not applicable. Competing interests: The  authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Changes in brain connectivity during development are thought to reflect organizational and maturational processes that correspond to skill acquisition in domains like motor, language, and cognition. This theory is supported by findings in typically developing children as well as observations of abnormal connectivity among children with neurodevelopmental differences. However, few coherence studies have capitalized on the potential of sleep electroencephalogram (EEG) to examine the developing brain, especially among very young children for whom formal neurodevelopmental diagnosis is not yet possible. Sleep microarchitecture in young children may offer key insights into neurophysiological abnormalities associated with neurodevelopmental trajectories and potentially aid in early detection and intervention. In this study, we explored sleep EEG coherence and sleep spindles in typically developing toddlers and toddlers at increased risk of later neurodevelopmental diagnoses. METHODS: We investigated EEG coherence and sleep spindles in 16 toddlers with receptive and expressive language delay (LangD) and 39 typically developing (TD) toddlers. Participants were aged 12-22 months at baseline, and 34 (LangD, n=11; TD, n=23) participants were evaluated again at 36 months of age. RESULTS: Average EEG coherence was stronger in the LangD group than the TD group, with differences most prominent during slow-wave sleep. Some age-related increases in coherence were observed, but these did not differ between groups. Sleep spindle density, duration, and frequency changed between baseline and follow-up for both groups, with the LangD group demonstrating a smaller magnitude of change than the TD group. The direction of change was frequency band-dependent for both groups. CONCLUSIONS: These findings indicate that atypical sleep EEG connectivity and sleep spindle development can be detected in toddlers at risk of later neurodevelopmental diagnoses. TRIAL REGISTRATION: https://clinicaltrials.gov/study/NCT01339767 ; Registration date: 4/20/2011. En ligne : https://dx.doi.org/10.1186/s11689-024-09586-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Differences in sleep EEG coherence and spindle metrics in toddlers with and without receptive/expressive language delay: a prospective observational study [texte imprimé] / Xinyi HONG, Auteur ; Cristan FARMER, Auteur ; Nataliia KOZHEMIAKO, Auteur ; Gregory L. HOLMES, Auteur ; Lauren THOMPSON, Auteur ; Stacy MANWARING, Auteur ; Audrey THURM, Auteur ; Ashura BUCKLEY, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Humans  Electroencephalography  Female  Male  Infant  Language Development Disorders/physiopathology  Child, Preschool  Sleep/physiology  Prospective Studies  Brain/physiopathology  Brain Waves/physiology  Brain development  Cognitive function  Diagnostic markers  Language delay  Neurophysiology  Sleep architecture  by the NIH Institutional Review Board (protocol 11-M-0144  NCT01339767). Consent  was obtained from parents or guardians of participants prior to their  participation. Consent for publication: Not applicable. Competing interests: The  authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Changes in brain connectivity during development are thought to reflect organizational and maturational processes that correspond to skill acquisition in domains like motor, language, and cognition. This theory is supported by findings in typically developing children as well as observations of abnormal connectivity among children with neurodevelopmental differences. However, few coherence studies have capitalized on the potential of sleep electroencephalogram (EEG) to examine the developing brain, especially among very young children for whom formal neurodevelopmental diagnosis is not yet possible. Sleep microarchitecture in young children may offer key insights into neurophysiological abnormalities associated with neurodevelopmental trajectories and potentially aid in early detection and intervention. In this study, we explored sleep EEG coherence and sleep spindles in typically developing toddlers and toddlers at increased risk of later neurodevelopmental diagnoses. METHODS: We investigated EEG coherence and sleep spindles in 16 toddlers with receptive and expressive language delay (LangD) and 39 typically developing (TD) toddlers. Participants were aged 12-22 months at baseline, and 34 (LangD, n=11; TD, n=23) participants were evaluated again at 36 months of age. RESULTS: Average EEG coherence was stronger in the LangD group than the TD group, with differences most prominent during slow-wave sleep. Some age-related increases in coherence were observed, but these did not differ between groups. Sleep spindle density, duration, and frequency changed between baseline and follow-up for both groups, with the LangD group demonstrating a smaller magnitude of change than the TD group. The direction of change was frequency band-dependent for both groups. CONCLUSIONS: These findings indicate that atypical sleep EEG connectivity and sleep spindle development can be detected in toddlers at risk of later neurodevelopmental diagnoses. TRIAL REGISTRATION: https://clinicaltrials.gov/study/NCT01339767 ; Registration date: 4/20/2011. En ligne : https://dx.doi.org/10.1186/s11689-024-09586-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

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