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Faire une suggestionBrain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds / John R. Jr PRUETT in Journal of Neurodevelopmental Disorders, 17 (2025)
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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
in Journal of Neurodevelopmental Disorders > 17 (2025)[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 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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[article]
Titre : Functional connectivity between the visual and salience networks and autistic social features at school-age Type de document : texte imprimé Auteurs : Jessica B. GIRAULT, Auteur ; Tomoyuki NISHINO, Auteur ; Muhamed TALOVIĆ, Auteur ; Mary Beth NEBEL, Auteur ; Margaret REYNOLDS, Auteur ; Catherine A. BURROWS, Auteur ; Jed T. ELISON, Auteur ; Chimei M. LEE, Auteur ; Abraham Z. SNYDER, Auteur ; Mark D. SHEN, Auteur ; Audrey M. SHEN, Auteur ; Kelly N. BOTTERON, Auteur ; Annette M. ESTES, Auteur ; Stephen R. DAGER, Auteur ; Guido GERIG, Auteur ; Heather C. HAZLETT, Auteur ; Natasha MARRUS, Auteur ; Robert C. MCKINSTRY, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Tanya ST JOHN, Auteur ; Martin A. STYNER, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Alexandre A. TODOROV, Auteur ; Joseph PIVEN, Auteur ; John R. Jr PRUETT, Auteur ; IBIS NETWORK, Auteur Langues : Anglais (eng) Mots-clés : Humans Male Child Female Magnetic Resonance Imaging Autism Spectrum Disorder/physiopathology/diagnostic imaging/psychology Longitudinal Studies Brain/physiopathology/diagnostic imaging Social Behavior Neural Pathways/physiopathology/diagnostic imaging Nerve Net/physiopathology/diagnostic imaging Autism Brain networks Functional connectivity Mri Social behavior provided by all participating families. Study procedures were approved by the Institutional Review Boards (IRB) at each research site: University of North Carolina at Chapel Hill, Washington University in St. Louis, University of Washington in Seattle, and the Children’s Hospital of Philadelphia. A single governing IRB at UNC Chapel Hill was in place (IRB #17–1871, PI: Piven). Consent for publication: Not applicable. Competing interests: Dr. Robert McKinstry serves on the medical advisory board and receives stock options for Turing Medical he also receives funding for meals and travel from Siemens Healthineers, Philips Healthcare, RadiAction Medical, and meals from Hyperfine, Inc. Abraham Z. Snyder is a consultant for Sora Neuroscience, LLC. A.M. Shen discloses a familial relationship with M.D. Shen, but their institution’s COI Office has determined there is no scientific or financial conflict of interest. All other authors report no financial relationships with commercial interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is highly heritable and phenotypically variable. Neuroimaging markers reflecting variation in behavior will provide insights into circuitry subserving core features. We examined functional correlates of ASD symptomology at school-age, while accounting for associated behavioral and cognitive domains, in a longitudinal sample followed from infancy and enriched for those with a genetic liability for ASD. METHODS: Resting state functional connectivity MRIs (fcMRI) and behavioral data were analyzed from 97 school-age children (8.1-12.0 years, 55 males, 15 ASD) with (n = 63) or without (n = 34) a family history of ASD. fcMRI enrichment analysis (EA) was used to screen for associations between network-level functional connectivity and six behaviors of interest in a data-driven manner: social affect, restricted and repetitive behavior (RRB), generalized anxiety, inattention, motor coordination, and matrix reasoning. RESULTS: Functional connectivity between the visual and salience networks was significantly associated with social affect symptoms at school-age after accounting for all other behaviors. Results indicated that stronger connectivity was associated with higher social affect scores. No other behaviors were robustly associated with functional connectivity, though trends were observed between visual-salience connectivity and RRBs. CONCLUSIONS: Connectivity between the visual and salience networks may play an important role in social affect symptom variability among children with ASD and those with genetic liability for ASD. These findings align with and extend earlier reports in this sample of the central role of the visual system during infancy in ASD. En ligne : https://dx.doi.org/10.1186/s11689-025-09613-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576
in Journal of Neurodevelopmental Disorders > 17 (2025)[article] Functional connectivity between the visual and salience networks and autistic social features at school-age [texte imprimé] / Jessica B. GIRAULT, Auteur ; Tomoyuki NISHINO, Auteur ; Muhamed TALOVIĆ, Auteur ; Mary Beth NEBEL, Auteur ; Margaret REYNOLDS, Auteur ; Catherine A. BURROWS, Auteur ; Jed T. ELISON, Auteur ; Chimei M. LEE, Auteur ; Abraham Z. SNYDER, Auteur ; Mark D. SHEN, Auteur ; Audrey M. SHEN, Auteur ; Kelly N. BOTTERON, Auteur ; Annette M. ESTES, Auteur ; Stephen R. DAGER, Auteur ; Guido GERIG, Auteur ; Heather C. HAZLETT, Auteur ; Natasha MARRUS, Auteur ; Robert C. MCKINSTRY, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Tanya ST JOHN, Auteur ; Martin A. STYNER, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Alexandre A. TODOROV, Auteur ; Joseph PIVEN, Auteur ; John R. Jr PRUETT, Auteur ; IBIS NETWORK, Auteur.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 17 (2025)
Mots-clés : Humans Male Child Female Magnetic Resonance Imaging Autism Spectrum Disorder/physiopathology/diagnostic imaging/psychology Longitudinal Studies Brain/physiopathology/diagnostic imaging Social Behavior Neural Pathways/physiopathology/diagnostic imaging Nerve Net/physiopathology/diagnostic imaging Autism Brain networks Functional connectivity Mri Social behavior provided by all participating families. Study procedures were approved by the Institutional Review Boards (IRB) at each research site: University of North Carolina at Chapel Hill, Washington University in St. Louis, University of Washington in Seattle, and the Children’s Hospital of Philadelphia. A single governing IRB at UNC Chapel Hill was in place (IRB #17–1871, PI: Piven). Consent for publication: Not applicable. Competing interests: Dr. Robert McKinstry serves on the medical advisory board and receives stock options for Turing Medical he also receives funding for meals and travel from Siemens Healthineers, Philips Healthcare, RadiAction Medical, and meals from Hyperfine, Inc. Abraham Z. Snyder is a consultant for Sora Neuroscience, LLC. A.M. Shen discloses a familial relationship with M.D. Shen, but their institution’s COI Office has determined there is no scientific or financial conflict of interest. All other authors report no financial relationships with commercial interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is highly heritable and phenotypically variable. Neuroimaging markers reflecting variation in behavior will provide insights into circuitry subserving core features. We examined functional correlates of ASD symptomology at school-age, while accounting for associated behavioral and cognitive domains, in a longitudinal sample followed from infancy and enriched for those with a genetic liability for ASD. METHODS: Resting state functional connectivity MRIs (fcMRI) and behavioral data were analyzed from 97 school-age children (8.1-12.0 years, 55 males, 15 ASD) with (n = 63) or without (n = 34) a family history of ASD. fcMRI enrichment analysis (EA) was used to screen for associations between network-level functional connectivity and six behaviors of interest in a data-driven manner: social affect, restricted and repetitive behavior (RRB), generalized anxiety, inattention, motor coordination, and matrix reasoning. RESULTS: Functional connectivity between the visual and salience networks was significantly associated with social affect symptoms at school-age after accounting for all other behaviors. Results indicated that stronger connectivity was associated with higher social affect scores. No other behaviors were robustly associated with functional connectivity, though trends were observed between visual-salience connectivity and RRBs. CONCLUSIONS: Connectivity between the visual and salience networks may play an important role in social affect symptom variability among children with ASD and those with genetic liability for ASD. These findings align with and extend earlier reports in this sample of the central role of the visual system during infancy in ASD. En ligne : https://dx.doi.org/10.1186/s11689-025-09613-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 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)
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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
in Journal of Neurodevelopmental Disorders > 17 (2025)[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 Reduced lateralization of multiple functional brain networks in autistic males / Madeline PETERSON in Journal of Neurodevelopmental Disorders, 16 (2024)
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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
in Journal of Neurodevelopmental Disorders > 16 (2024)[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

