18 recherche sur le mot-clé 'Brain Mapping'

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

Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies / Cristiano COSTA in Journal of Child Psychology and Psychiatry, 62-12 (December 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-12 (December 2021) . - p.1412-1424 Titre : Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies Type de document : texte imprimé Auteurs : Cristiano COSTA, Auteur ; Ioana A. CRISTEA, Auteur ; Elisa DAL BÃ’, Auteur ; Caterina MELLONI, Auteur ; Claudio GENTILI, Auteur Article en page(s) : p.1412-1424 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Humans  Likelihood Functions  Magnetic Resonance Imaging  Neuroimaging  Functional MRI (fMRI)  autism spectrum disorders  face perception  meta-analysis Index. décimale : PER Périodiques Résumé : BACKGROUND: Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS: We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS: Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS: Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results. En ligne : http://dx.doi.org/10.1111/jcpp.13412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies [texte imprimé] / Cristiano COSTA, Auteur ; Ioana A. CRISTEA, Auteur ; Elisa DAL BÃ’, Auteur ; Caterina MELLONI, Auteur ; Claudio GENTILI, Auteur . - p.1412-1424. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-12 (December 2021) . - p.1412-1424 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Humans  Likelihood Functions  Magnetic Resonance Imaging  Neuroimaging  Functional MRI (fMRI)  autism spectrum disorders  face perception  meta-analysis Index. décimale : PER Périodiques Résumé : BACKGROUND: Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS: We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS: Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS: Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results. En ligne : http://dx.doi.org/10.1111/jcpp.13412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients / Anat DAHAN in Journal of Autism and Developmental Disorders, 51-9 (September 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390 Titre : Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients Type de document : texte imprimé Auteurs : Anat DAHAN, Auteur ; Yuri A. DUBNOV, Auteur ; Alexey Y. POPKOV, Auteur ; Itai GUTMAN, Auteur ; Hila Gvirts PROBOLOVSKI, Auteur Article en page(s) : p.3380-3390 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping  Humans  Autistic traits  Classification  Complexity  Interpersonal synchronization  fNIRS Index. décimale : PER Périodiques Résumé : Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ε-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. En ligne : http://dx.doi.org/10.1007/s10803-020-04793-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients [texte imprimé] / Anat DAHAN, Auteur ; Yuri A. DUBNOV, Auteur ; Alexey Y. POPKOV, Auteur ; Itai GUTMAN, Auteur ; Hila Gvirts PROBOLOVSKI, Auteur . - p.3380-3390. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping  Humans  Autistic traits  Classification  Complexity  Interpersonal synchronization  fNIRS Index. décimale : PER Périodiques Résumé : Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ε-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. En ligne : http://dx.doi.org/10.1007/s10803-020-04793-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes / Daniela Jardim PEREIRA in Journal of Neurodevelopmental Disorders, 16 (2024)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 16 (2024) Titre : Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes Type de document : texte imprimé Auteurs : Daniela Jardim PEREIRA, Auteur ; Sofia MORAIS, Auteur ; Alexandre SAYAL, Auteur ; João PEREIRA, Auteur ; Sofia MENESES, Auteur ; Graça AREIAS, Auteur ; Bruno DIREITO, Auteur ; António MACEDO, Auteur ; Miguel CASTELO-BRANCO, Auteur Langues : Anglais (eng) Mots-clés : Humans  Executive Function  Neurofeedback  Autism Spectrum Disorder/therapy  Brain/diagnostic imaging  Brain Mapping  Autism spectrum disorders  Dorsolateral prefrontal cortex  Rt-fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Deficits in executive function (EF) are consistently reported in autism spectrum disorders (ASD). Tailored cognitive training tools, such as neurofeedback, focused on executive function enhancement might have a significant impact on the daily life functioning of individuals with ASD. We report the first real-time fMRI neurofeedback (rt-fMRI NF) study targeting the left dorsolateral prefrontal cortex (DLPFC) in ASD. METHODS: Thirteen individuals with autism without intellectual disability and seventeen neurotypical individuals completed a rt-fMRI working memory NF paradigm, consisting of subvocal backward recitation of self-generated numeric sequences. We performed a region-of-interest analysis of the DLPFC, whole-brain comparisons between groups and, DLPFC-based functional connectivity. RESULTS: The ASD and control groups were able to modulate DLPFC activity in 84% and 98% of the runs. Activity in the target region was persistently lower in the ASD group, particularly in runs without neurofeedback. Moreover, the ASD group showed lower activity in premotor/motor areas during pre-neurofeedback run than controls, but not in transfer runs, where it was seemingly balanced by higher connectivity between the DLPFC and the motor cortex. Group comparison in the transfer run also showed significant differences in DLPFC-based connectivity between groups, including higher connectivity with areas integrated into the multidemand network (MDN) and the visual cortex. CONCLUSIONS: Neurofeedback seems to induce a higher between-group similarity of the whole-brain activity levels (including the target ROI) which might be promoted by changes in connectivity between the DLPFC and both high and low-level areas, including motor, visual and MDN regions. En ligne : https://dx.doi.org/10.1186/s11689-024-09531-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575 [article] Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes [texte imprimé] / Daniela Jardim PEREIRA, Auteur ; Sofia MORAIS, Auteur ; Alexandre SAYAL, Auteur ; João PEREIRA, Auteur ; Sofia MENESES, Auteur ; Graça AREIAS, Auteur ; Bruno DIREITO, Auteur ; António MACEDO, Auteur ; Miguel CASTELO-BRANCO, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 16 (2024) Mots-clés : Humans  Executive Function  Neurofeedback  Autism Spectrum Disorder/therapy  Brain/diagnostic imaging  Brain Mapping  Autism spectrum disorders  Dorsolateral prefrontal cortex  Rt-fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Deficits in executive function (EF) are consistently reported in autism spectrum disorders (ASD). Tailored cognitive training tools, such as neurofeedback, focused on executive function enhancement might have a significant impact on the daily life functioning of individuals with ASD. We report the first real-time fMRI neurofeedback (rt-fMRI NF) study targeting the left dorsolateral prefrontal cortex (DLPFC) in ASD. METHODS: Thirteen individuals with autism without intellectual disability and seventeen neurotypical individuals completed a rt-fMRI working memory NF paradigm, consisting of subvocal backward recitation of self-generated numeric sequences. We performed a region-of-interest analysis of the DLPFC, whole-brain comparisons between groups and, DLPFC-based functional connectivity. RESULTS: The ASD and control groups were able to modulate DLPFC activity in 84% and 98% of the runs. Activity in the target region was persistently lower in the ASD group, particularly in runs without neurofeedback. Moreover, the ASD group showed lower activity in premotor/motor areas during pre-neurofeedback run than controls, but not in transfer runs, where it was seemingly balanced by higher connectivity between the DLPFC and the motor cortex. Group comparison in the transfer run also showed significant differences in DLPFC-based connectivity between groups, including higher connectivity with areas integrated into the multidemand network (MDN) and the visual cortex. CONCLUSIONS: Neurofeedback seems to induce a higher between-group similarity of the whole-brain activity levels (including the target ROI) which might be promoted by changes in connectivity between the DLPFC and both high and low-level areas, including motor, visual and MDN regions. En ligne : https://dx.doi.org/10.1186/s11689-024-09531-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575

Social inference brain networks in autistic adults during movie-viewing: functional specialization and heterogeneity / Jasmin M. TURNER in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 42 Titre : Social inference brain networks in autistic adults during movie-viewing: functional specialization and heterogeneity Type de document : texte imprimé Auteurs : Jasmin M. TURNER, Auteur ; Lisa BYRGE, Auteur ; Hilary RICHARDSON, Auteur ; Paola GALDI, Auteur ; Daniel P. KENNEDY, Auteur ; Dorit KLIEMANN, Auteur ; Jasmin M. TURNER, Auteur ; Lisa BYRGE, Auteur ; Hilary RICHARDSON, Auteur ; Paola GALDI, Auteur ; Daniel P. KENNEDY, Auteur ; Dorit KLIEMANN, Auteur Article en page(s) : 42 Langues : Anglais (eng) Mots-clés : Humans  Male  Female  Adult  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology/psychology  Young Adult  Motion Pictures  Theory of Mind/physiology  Brain Mapping  Empathy  Social Behavior  Nerve Net/physiopathology  Autism Spectrum Disorder/physiopathology  Autism  Functional connectivity  Heterogeneity  Social cognition  Theory of mind  fMRI  informed consent in line with the Institutional Review Boards at the California  Institute of Technology and the Indiana University. Consent for publication: Not  applicable. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulty in social inferences is a core feature in autism spectrum disorders (ASD). On the behavioral level, it remains unclear whether reasoning about others' mental states (Theory of Mind, ToM) and empathic responses to others' physical states may be similarly or differentially affected in autism. On the neural level, these inferences typically engage distinct brain networks (ToM versus Pain networks), but their functional specialization remains not well understood in autism. This study aimed to investigate the functional specialization, heterogeneity, and brain-behavior relationships of the ToM and Pain networks in autistic compared to neurotypical (NT) participants. We hypothesized differential functional network specialization (i.e., functional connectivity), increased heterogeneity, and less typical network responses specifically in the ToM network, with relatively similar responses in the Pain network in ASD. METHODS: Using functional magnetic resonance imaging (fMRI), we investigated neural responses in 107 adults (autistic: 34 (female = 11), NT: 73 (female = 23); matched for age, intellectual functioning, sex, motion) while they passively watched a short, animated movie including events that evoke reasoning about characters' mental states and bodily sensations. Preregistered analyses included regression models to assess inter-region correlation of within- and across-network connectivity, inter-subject correlation to quantify similarity to the average neurotypical, as well as to within- and across-group timecourse responses, and brain-behavior relationships relevant for social inferences. RESULTS: Functional specialization of ToM and Pain networks were overall intact, with distinct network responses in both groups. The autistic group showed differential ToM network responses and reduced similarity to the average typical response for both networks. Network responses were more idiosyncratic and heterogenous in the autistic group. Brain-behavior relationships differed between groups for ToM behavior only. LIMITATIONS: Effects between groups were overall small. Samples were acquired across two sites, yet the sample size restricts subgroup analyses that may further inform autistic heterogeneity and limits generalizability. CONCLUSIONS: We found weak evidence for greater differential responses in brain networks underlying ToM inferences than those involved in empathic responses in autism, consistent with a prior empathy imbalance hypothesis. We outline suggestions for replicating, generalizing and extending these results in future research. En ligne : https://dx.doi.org/10.1186/s13229-025-00669-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569 [article] Social inference brain networks in autistic adults during movie-viewing: functional specialization and heterogeneity [texte imprimé] / Jasmin M. TURNER, Auteur ; Lisa BYRGE, Auteur ; Hilary RICHARDSON, Auteur ; Paola GALDI, Auteur ; Daniel P. KENNEDY, Auteur ; Dorit KLIEMANN, Auteur ; Jasmin M. TURNER, Auteur ; Lisa BYRGE, Auteur ; Hilary RICHARDSON, Auteur ; Paola GALDI, Auteur ; Daniel P. KENNEDY, Auteur ; Dorit KLIEMANN, Auteur . - 42. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 42 Mots-clés : Humans  Male  Female  Adult  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology/psychology  Young Adult  Motion Pictures  Theory of Mind/physiology  Brain Mapping  Empathy  Social Behavior  Nerve Net/physiopathology  Autism Spectrum Disorder/physiopathology  Autism  Functional connectivity  Heterogeneity  Social cognition  Theory of mind  fMRI  informed consent in line with the Institutional Review Boards at the California  Institute of Technology and the Indiana University. Consent for publication: Not  applicable. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulty in social inferences is a core feature in autism spectrum disorders (ASD). On the behavioral level, it remains unclear whether reasoning about others' mental states (Theory of Mind, ToM) and empathic responses to others' physical states may be similarly or differentially affected in autism. On the neural level, these inferences typically engage distinct brain networks (ToM versus Pain networks), but their functional specialization remains not well understood in autism. This study aimed to investigate the functional specialization, heterogeneity, and brain-behavior relationships of the ToM and Pain networks in autistic compared to neurotypical (NT) participants. We hypothesized differential functional network specialization (i.e., functional connectivity), increased heterogeneity, and less typical network responses specifically in the ToM network, with relatively similar responses in the Pain network in ASD. METHODS: Using functional magnetic resonance imaging (fMRI), we investigated neural responses in 107 adults (autistic: 34 (female = 11), NT: 73 (female = 23); matched for age, intellectual functioning, sex, motion) while they passively watched a short, animated movie including events that evoke reasoning about characters' mental states and bodily sensations. Preregistered analyses included regression models to assess inter-region correlation of within- and across-network connectivity, inter-subject correlation to quantify similarity to the average neurotypical, as well as to within- and across-group timecourse responses, and brain-behavior relationships relevant for social inferences. RESULTS: Functional specialization of ToM and Pain networks were overall intact, with distinct network responses in both groups. The autistic group showed differential ToM network responses and reduced similarity to the average typical response for both networks. Network responses were more idiosyncratic and heterogenous in the autistic group. Brain-behavior relationships differed between groups for ToM behavior only. LIMITATIONS: Effects between groups were overall small. Samples were acquired across two sites, yet the sample size restricts subgroup analyses that may further inform autistic heterogeneity and limits generalizability. CONCLUSIONS: We found weak evidence for greater differential responses in brain networks underlying ToM inferences than those involved in empathic responses in autism, consistent with a prior empathy imbalance hypothesis. We outline suggestions for replicating, generalizing and extending these results in future research. En ligne : https://dx.doi.org/10.1186/s13229-025-00669-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569

The microstructural change of the brain and its clinical severity association in pediatric Tourette syndrome patients / Chia-Jui HSU in Journal of Neurodevelopmental Disorders, 15 (2023)  

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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism / Megan BANCHIK ; Tawny TSANG ; Nana J. OKADA ; Rebecca ALTSHULER ; Nicole M. MCDONALD ; Susan Y. BOOKHEIMER ; Shafali S. JESTE ; Shulamite A. GREEN ; Mirella DAPRETTO in Molecular Autism, 16 (2025)  

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Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial / Yun WANG in Journal of Child Psychology and Psychiatry, 63-11 (November 2022)  

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Decreased homotopic interhemispheric functional connectivity in children with autism spectrum disorder / Shuxia YAO in Autism Research, 14-8 (August 2021)  

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Default mode and fronto-parietal network associations with IQ development across childhood in autism / Joshua K. LEE in Journal of Neurodevelopmental Disorders, 14 (2022)  

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