7 recherche sur le mot-clé 'Brain/physiopathology/diagnostic imaging'

Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds / John R. Jr PRUETT in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds Type de document : texte imprimé Auteurs : John R. Jr PRUETT, Auteur ; Alexandre A. TODOROV, Auteur ; Zoë W. HAWKS, Auteur ; Muhamed TALOVIĆ, Auteur ; Tomoyuki NISHINO, Auteur ; Steven E. PETERSEN, Auteur ; Savannah DAVIS, Auteur ; Lyn STAHL, Auteur ; Kelly N. BOTTERON, Auteur ; John N. CONSTANTINO, Auteur ; Stephen R. DAGER, Auteur ; Jed T. ELISON, Auteur ; Annette M. ESTES, Auteur ; Alan C. EVANS, Auteur ; Guido GERIG, Auteur ; Jessica B. GIRAULT, Auteur ; Heather HAZLETT, Auteur ; Leigh MACINTYRE, Auteur ; Natasha MARRUS, Auteur ; Robert C. MCKINSTRY, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; William D. SHANNON, Auteur ; Mark D. SHEN, Auteur ; Abraham Z. SNYDER, Auteur ; Martin STYNER, Auteur ; Jason J. WOLFF, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur ; THE IBIS NETWORK, Auteur Langues : Anglais (eng) Mots-clés : Humans  Male  Female  Magnetic Resonance Imaging  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Child, Preschool  Brain/physiopathology/diagnostic imaging  Support Vector Machine  Connectome  Nerve Net/physiopathology/diagnostic imaging  Infant  Siblings  Default mode network  Familial  Functional connectivity  MRI  reviewed and approved by the internal review boards of Washington University  School of Medicine, IRB IDs 201103140 and 201301110, the University of  Washington, IRB IDs 12317 and STUDY00012991, The Children’s Hospital of  Philadelphia, IRB ID 07-005689, and the University of North Carolina at Chapel  Hill, IRB ID 05-2293. Informed consent was signed by all study participants.  Competing interests: Dr. Robert McKinstry serves on the advisory board of Nous  Imaging, Inc. and receives funding for meals and travel from Siemens Healthineers  and Philips Healthcare. Abraham Z. Snyder is a consultant for Sora Neuroscience,  LLC. All other authors report no financial relationships with commercial  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: fcMRI correlates of autism spectrum disorder (ASD) diagnosis and familial liability were studied in 24-month-olds at high (older affected sibling) and low familial likelihood for ASD. METHODS: fcMRI comparisons of high-familial-likelihood (HL) ASD-positive (HLP, N = 23) and ASD-negative (HLN, N = 91), and low-likelihood ASD-negative (LLN, N = 27) 24-month-olds from the Infant Brain Imaging Study (IBIS) Network were conducted, employing object oriented data analysis (OODA), support vector machine (SVM) classification, and network-level fcMRI enrichment analyses. RESULTS: OODA (alpha = 0.0167, 3 comparisons) revealed differences in HLP and LLN fcMRI matrices (p = 0.012), but none for HLP versus HLN (p = 0.047) nor HLN versus LLN (p = 0.225). SVM distinguished HLP from HLN (accuracy = 99%, PPV = 96%, NPV = 100%), based on connectivity involving many networks. SVM accurately classified (non-training) LLN subjects with 100% accuracy. Enrichment analyses identified a cross-group fcMRI difference in the posterior cingulate default mode network 1 (pcDMN1)- temporal default mode network (tDMN) pair (p = 0.0070). Functional connectivity for implicated connections in these networks was consistently lower in HLP and HLN than in LLN (p = 0.0461 and 0.0004). HLP did not differ from HLN (p = 0.2254). Secondary testing showed HL children with low ASD behaviors still differed from LLN (p = 0.0036). CONCLUSIONS: 24-month-old high-familial-likelihood infants show reduced intra-DMN connectivity, a potential neural finding related to familial liability, while widely distributed functional connections correlate with ASD diagnosis. En ligne : https://dx.doi.org/10.1186/s11689-025-09621-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds [texte imprimé] / John R. Jr PRUETT, Auteur ; Alexandre A. TODOROV, Auteur ; Zoë W. HAWKS, Auteur ; Muhamed TALOVIĆ, Auteur ; Tomoyuki NISHINO, Auteur ; Steven E. PETERSEN, Auteur ; Savannah DAVIS, Auteur ; Lyn STAHL, Auteur ; Kelly N. BOTTERON, Auteur ; John N. CONSTANTINO, Auteur ; Stephen R. DAGER, Auteur ; Jed T. ELISON, Auteur ; Annette M. ESTES, Auteur ; Alan C. EVANS, Auteur ; Guido GERIG, Auteur ; Jessica B. GIRAULT, Auteur ; Heather HAZLETT, Auteur ; Leigh MACINTYRE, Auteur ; Natasha MARRUS, Auteur ; Robert C. MCKINSTRY, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; William D. SHANNON, Auteur ; Mark D. SHEN, Auteur ; Abraham Z. SNYDER, Auteur ; Martin STYNER, Auteur ; Jason J. WOLFF, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur ; THE IBIS NETWORK, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Humans  Male  Female  Magnetic Resonance Imaging  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Child, Preschool  Brain/physiopathology/diagnostic imaging  Support Vector Machine  Connectome  Nerve Net/physiopathology/diagnostic imaging  Infant  Siblings  Default mode network  Familial  Functional connectivity  MRI  reviewed and approved by the internal review boards of Washington University  School of Medicine, IRB IDs 201103140 and 201301110, the University of  Washington, IRB IDs 12317 and STUDY00012991, The Children’s Hospital of  Philadelphia, IRB ID 07-005689, and the University of North Carolina at Chapel  Hill, IRB ID 05-2293. Informed consent was signed by all study participants.  Competing interests: Dr. Robert McKinstry serves on the advisory board of Nous  Imaging, Inc. and receives funding for meals and travel from Siemens Healthineers  and Philips Healthcare. Abraham Z. Snyder is a consultant for Sora Neuroscience,  LLC. All other authors report no financial relationships with commercial  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: fcMRI correlates of autism spectrum disorder (ASD) diagnosis and familial liability were studied in 24-month-olds at high (older affected sibling) and low familial likelihood for ASD. METHODS: fcMRI comparisons of high-familial-likelihood (HL) ASD-positive (HLP, N = 23) and ASD-negative (HLN, N = 91), and low-likelihood ASD-negative (LLN, N = 27) 24-month-olds from the Infant Brain Imaging Study (IBIS) Network were conducted, employing object oriented data analysis (OODA), support vector machine (SVM) classification, and network-level fcMRI enrichment analyses. RESULTS: OODA (alpha = 0.0167, 3 comparisons) revealed differences in HLP and LLN fcMRI matrices (p = 0.012), but none for HLP versus HLN (p = 0.047) nor HLN versus LLN (p = 0.225). SVM distinguished HLP from HLN (accuracy = 99%, PPV = 96%, NPV = 100%), based on connectivity involving many networks. SVM accurately classified (non-training) LLN subjects with 100% accuracy. Enrichment analyses identified a cross-group fcMRI difference in the posterior cingulate default mode network 1 (pcDMN1)- temporal default mode network (tDMN) pair (p = 0.0070). Functional connectivity for implicated connections in these networks was consistently lower in HLP and HLN than in LLN (p = 0.0461 and 0.0004). HLP did not differ from HLN (p = 0.2254). Secondary testing showed HL children with low ASD behaviors still differed from LLN (p = 0.0036). CONCLUSIONS: 24-month-old high-familial-likelihood infants show reduced intra-DMN connectivity, a potential neural finding related to familial liability, while widely distributed functional connections correlate with ASD diagnosis. En ligne : https://dx.doi.org/10.1186/s11689-025-09621-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

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

Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood / Molly D.B. PRIGGE ; Andrew ALEXANDER ; Brandon ZIELINSKI ; Janet E. LAINHART ; Jace KING in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 24 Titre : Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood Type de document : texte imprimé Auteurs : Molly D.B. PRIGGE, Auteur ; Andrew ALEXANDER, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jace KING, Auteur Article en page(s) : 24 Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Adolescent  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Connectome/methods  Adult  Young Adult  Child, Preschool  Cross-Sectional Studies  Autistic Disorder/physiopathology  Nonlinear Dynamics  Autism Spectrum Disorder/physiopathology  Age Factors  Nerve Net/physiopathology  Age-related  Autism  Cross-sectional  Functional connectivity  Generalized additive model  fMRI  acquired by each individual site within the ABIDE repository. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. METHODS: 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. RESULTS: Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures and fits. LIMITATIONS: The present analysis includes only male participants and has a restricted age range, limiting analysis of early development and later life aging, years 40 and beyond. Additionally, our analysis is limited to large-scale network cortical functional parcellation. To parse more specificity of brain region connectivity, a fine-grained functional parcellation including subcortical areas may be warranted. CONCLUSION: Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism. En ligne : https://dx.doi.org/10.1186/s13229-025-00657-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood [texte imprimé] / Molly D.B. PRIGGE, Auteur ; Andrew ALEXANDER, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jace KING, Auteur . - 24. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 24 Mots-clés : Humans  Male  Child  Adolescent  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Connectome/methods  Adult  Young Adult  Child, Preschool  Cross-Sectional Studies  Autistic Disorder/physiopathology  Nonlinear Dynamics  Autism Spectrum Disorder/physiopathology  Age Factors  Nerve Net/physiopathology  Age-related  Autism  Cross-sectional  Functional connectivity  Generalized additive model  fMRI  acquired by each individual site within the ABIDE repository. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. METHODS: 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. RESULTS: Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures and fits. LIMITATIONS: The present analysis includes only male participants and has a restricted age range, limiting analysis of early development and later life aging, years 40 and beyond. Additionally, our analysis is limited to large-scale network cortical functional parcellation. To parse more specificity of brain region connectivity, a fine-grained functional parcellation including subcortical areas may be warranted. CONCLUSION: Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism. En ligne : https://dx.doi.org/10.1186/s13229-025-00657-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

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

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 16 (2024) Titre : Reduced lateralization of multiple functional brain networks in autistic males Type de document : texte imprimé Auteurs : Madeline PETERSON, Auteur ; Molly B.D. PRIGGE, Auteur ; Dorothea L. FLORIS, Auteur ; Erin D. BIGLER, Auteur ; Brandon A. ZIELINSKI, Auteur ; Jace B. KING, Auteur ; Nicholas LANGE, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur ; Jared A. NIELSEN, Auteur Langues : Anglais (eng) Mots-clés : Humans  Male  Functional Laterality/physiology  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Adult  Young Adult  Cross-Sectional Studies  Adolescent  Autism Spectrum Disorder/physiopathology  Nerve Net/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology  Child  Language  Asd  Asymmetry  Autism  Autism spectrum disorder  Brain networks  Lateralization  Network lateralization  Neurodevelopmental conditions  Neuroimaging  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder has been linked to a variety of organizational and developmental deviations in the brain. One such organizational difference involves hemispheric lateralization, which may be localized to language-relevant regions of the brain or distributed more broadly. METHODS: In the present study, we estimated brain hemispheric lateralization in autism based on each participant's unique functional neuroanatomy rather than relying on group-averaged data. Additionally, we explored potential relationships between the lateralization of the language network and behavioral phenotypes including verbal ability, language delay, and autism symptom severity. We hypothesized that differences in hemispheric asymmetries in autism would be limited to the language network, with the alternative hypothesis of pervasive differences in lateralization. We tested this and other hypotheses by employing a cross-sectional dataset of 118 individuals (48 autistic, 70 neurotypical). Using resting-state fMRI, we generated individual network parcellations and estimated network asymmetries using a surface area-based approach. A series of multiple regressions were then used to compare network asymmetries for eight significantly lateralized networks between groups. RESULTS: We found significant group differences in lateralization for the left-lateralized Language (d = -0.89), right-lateralized Salience/Ventral Attention-A (d = 0.55), and right-lateralized Control-B (d = 0.51) networks, with the direction of these group differences indicating less asymmetry in autistic males. These differences were robust across different datasets from the same participants. Furthermore, we found that language delay stratified language lateralization, with the greatest group differences in language lateralization occurring between autistic males with language delay and neurotypical individuals. CONCLUSIONS: These findings evidence a complex pattern of functional lateralization differences in autism, extending beyond the Language network to the Salience/Ventral Attention-A and Control-B networks, yet not encompassing all networks, indicating a selective divergence rather than a pervasive one. Moreover, we observed an association between Language network lateralization and language delay in autistic males. En ligne : https://dx.doi.org/10.1186/s11689-024-09529-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575 [article] Reduced lateralization of multiple functional brain networks in autistic males [texte imprimé] / Madeline PETERSON, Auteur ; Molly B.D. PRIGGE, Auteur ; Dorothea L. FLORIS, Auteur ; Erin D. BIGLER, Auteur ; Brandon A. ZIELINSKI, Auteur ; Jace B. KING, Auteur ; Nicholas LANGE, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur ; Jared A. NIELSEN, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 16 (2024) Mots-clés : Humans  Male  Functional Laterality/physiology  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Adult  Young Adult  Cross-Sectional Studies  Adolescent  Autism Spectrum Disorder/physiopathology  Nerve Net/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology  Child  Language  Asd  Asymmetry  Autism  Autism spectrum disorder  Brain networks  Lateralization  Network lateralization  Neurodevelopmental conditions  Neuroimaging  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder has been linked to a variety of organizational and developmental deviations in the brain. One such organizational difference involves hemispheric lateralization, which may be localized to language-relevant regions of the brain or distributed more broadly. METHODS: In the present study, we estimated brain hemispheric lateralization in autism based on each participant's unique functional neuroanatomy rather than relying on group-averaged data. Additionally, we explored potential relationships between the lateralization of the language network and behavioral phenotypes including verbal ability, language delay, and autism symptom severity. We hypothesized that differences in hemispheric asymmetries in autism would be limited to the language network, with the alternative hypothesis of pervasive differences in lateralization. We tested this and other hypotheses by employing a cross-sectional dataset of 118 individuals (48 autistic, 70 neurotypical). Using resting-state fMRI, we generated individual network parcellations and estimated network asymmetries using a surface area-based approach. A series of multiple regressions were then used to compare network asymmetries for eight significantly lateralized networks between groups. RESULTS: We found significant group differences in lateralization for the left-lateralized Language (d = -0.89), right-lateralized Salience/Ventral Attention-A (d = 0.55), and right-lateralized Control-B (d = 0.51) networks, with the direction of these group differences indicating less asymmetry in autistic males. These differences were robust across different datasets from the same participants. Furthermore, we found that language delay stratified language lateralization, with the greatest group differences in language lateralization occurring between autistic males with language delay and neurotypical individuals. CONCLUSIONS: These findings evidence a complex pattern of functional lateralization differences in autism, extending beyond the Language network to the Salience/Ventral Attention-A and Control-B networks, yet not encompassing all networks, indicating a selective divergence rather than a pervasive one. Moreover, we observed an association between Language network lateralization and language delay in autistic males. En ligne : https://dx.doi.org/10.1186/s11689-024-09529-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575

Functional connectivity patterns differ as a function of co-occurring attentional problems in preschoolers with autism / Alex BOXBERGER in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Functional connectivity patterns differ as a function of co-occurring attentional problems in preschoolers with autism Type de document : texte imprimé Auteurs : Alex BOXBERGER, Auteur ; Bosi CHEN, Auteur ; Lindsay OLSON, Auteur ; Michaela CORDOVA, Auteur ; Judy MAHMALJI, Auteur ; Adriana RIOS, Auteur ; Annika C. LINKE, Auteur ; Inna FISHMAN, Auteur Langues : Anglais (eng) Mots-clés : Humans  Child, Preschool  Male  Female  Autism Spectrum Disorder/physiopathology/diagnostic imaging/complications  Attention Deficit Disorder with Hyperactivity/physiopathology/diagnostic  imaging/complications/epidemiology  Magnetic Resonance Imaging  Infant  Connectome  Brain/physiopathology/diagnostic imaging  Nerve Net/physiopathology/diagnostic imaging  Child Development/physiology  Attention  Autism spectrum  Early development  Functional MRI  Network connectivity  was approved by the institutional review boards of the University of California  San Diego and San Diego State University (Joint Review IRB #151091). Informed  consent was obtained from caregivers of all children included in the study.  Consent for publication: Not applicable. Competing interests: The authors declare  no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of attention-deficit/hyperactivity disorder (ADHD) are common in children with autism spectrum disorder (ASD), and are associated with greater developmental challenges, poorer clinical outcomes, and alterations in functional connectivity (FC) of the brain. However, despite the consensus that ASD and other neurodevelopmental conditions emerge early in life, little is known about the trajectories of brain and behavioral development during the first years of life in children with ASD and co-occurring attention problems (AP). METHODS: In a sample of 122 young children (ages 1.5-5 years) with and without ASD, we examined whether toddlers and preschoolers with ASD and co-occurring AP already differ from peers with ASD without co-occurring AP on adaptive and developmental skills, ASD symptoms, and FC of the frontoparietal and salience networks, which have been previously linked to ADHD symptoms in older children with ASD and ADHD. RESULTS: Results of general linear model analyses revealed lower developmental and adaptive skills across multiple domains in children with ASD and elevated AP compared with their peers with lower AP, despite equivalent levels of ASD symptoms. Further, children with ASD and elevated AP showed reduced FC within the frontoparietal network (p = .027), between the frontoparietal and language networks (p = .004), and the frontoparietal and default mode networks (p = .046) in comparison to their peers with lower AP. No group differences in FC of the salience network were observed (all p > .05). CONCLUSIONS: These findings provide evidence that neurodevelopmental and behavioral differences in children with ASD and co-occurring AP emerge very early in life, before a reliable diagnosis of ADHD is typically made. Specifically, these results demonstrate that early inattention symptoms are associated with unique connectivity patterns in executive circuitry as early as the first years of life in toddlers and preschoolers with ASD, likely contributing to the phenotypic and neural heterogeneity recognized in autism. Thus, our results underscore the importance of considering co-occurring conditions early in developmental research and clinical care, as further understanding these trajectories can inform early interventions during the critical time period when they have the greatest potential for positive impact. En ligne : https://dx.doi.org/10.1186/s11689-025-09650-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Functional connectivity patterns differ as a function of co-occurring attentional problems in preschoolers with autism [texte imprimé] / Alex BOXBERGER, Auteur ; Bosi CHEN, Auteur ; Lindsay OLSON, Auteur ; Michaela CORDOVA, Auteur ; Judy MAHMALJI, Auteur ; Adriana RIOS, Auteur ; Annika C. LINKE, Auteur ; Inna FISHMAN, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Humans  Child, Preschool  Male  Female  Autism Spectrum Disorder/physiopathology/diagnostic imaging/complications  Attention Deficit Disorder with Hyperactivity/physiopathology/diagnostic  imaging/complications/epidemiology  Magnetic Resonance Imaging  Infant  Connectome  Brain/physiopathology/diagnostic imaging  Nerve Net/physiopathology/diagnostic imaging  Child Development/physiology  Attention  Autism spectrum  Early development  Functional MRI  Network connectivity  was approved by the institutional review boards of the University of California  San Diego and San Diego State University (Joint Review IRB #151091). Informed  consent was obtained from caregivers of all children included in the study.  Consent for publication: Not applicable. Competing interests: The authors declare  no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of attention-deficit/hyperactivity disorder (ADHD) are common in children with autism spectrum disorder (ASD), and are associated with greater developmental challenges, poorer clinical outcomes, and alterations in functional connectivity (FC) of the brain. However, despite the consensus that ASD and other neurodevelopmental conditions emerge early in life, little is known about the trajectories of brain and behavioral development during the first years of life in children with ASD and co-occurring attention problems (AP). METHODS: In a sample of 122 young children (ages 1.5-5 years) with and without ASD, we examined whether toddlers and preschoolers with ASD and co-occurring AP already differ from peers with ASD without co-occurring AP on adaptive and developmental skills, ASD symptoms, and FC of the frontoparietal and salience networks, which have been previously linked to ADHD symptoms in older children with ASD and ADHD. RESULTS: Results of general linear model analyses revealed lower developmental and adaptive skills across multiple domains in children with ASD and elevated AP compared with their peers with lower AP, despite equivalent levels of ASD symptoms. Further, children with ASD and elevated AP showed reduced FC within the frontoparietal network (p = .027), between the frontoparietal and language networks (p = .004), and the frontoparietal and default mode networks (p = .046) in comparison to their peers with lower AP. No group differences in FC of the salience network were observed (all p > .05). CONCLUSIONS: These findings provide evidence that neurodevelopmental and behavioral differences in children with ASD and co-occurring AP emerge very early in life, before a reliable diagnosis of ADHD is typically made. Specifically, these results demonstrate that early inattention symptoms are associated with unique connectivity patterns in executive circuitry as early as the first years of life in toddlers and preschoolers with ASD, likely contributing to the phenotypic and neural heterogeneity recognized in autism. Thus, our results underscore the importance of considering co-occurring conditions early in developmental research and clinical care, as further understanding these trajectories can inform early interventions during the critical time period when they have the greatest potential for positive impact. En ligne : https://dx.doi.org/10.1186/s11689-025-09650-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

The neural bases of language processing during social and non-social contexts: a fNIRS study of autistic and neurotypical preschool-aged children / Meredith PECUKONIS in Molecular Autism, 16 (2025)  

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Functional connectivity between the visual and salience networks and autistic social features at school-age / Jessica B. GIRAULT in Journal of Neurodevelopmental Disorders, 17 (2025)  

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