Anxious/depressed symptoms are related to microstructural maturation of white matter in typically developing youths / Matthew D. ALBAUGH in Development and Psychopathology, 29-3 (August 2017)  

Public ISBD [article]  inDevelopment and Psychopathology > 29-3 (August 2017) . - p.751-758 Titre : Anxious/depressed symptoms are related to microstructural maturation of white matter in typically developing youths Type de document : texte imprimé Auteurs : Matthew D. ALBAUGH, Auteur ; Simon DUCHARME, Auteur ; Sherif KARAMA, Auteur ; Richard WATTS, Auteur ; John D. LEWIS, Auteur ; Catherine ORR, Auteur ; Tuong-Vi NGUYEN, Auteur ; Robert C. MCKINSTRY, Auteur ; Kelly N. BOTTERON, Auteur ; Alan C. EVANS, Auteur ; James J. HUDZIAK, Auteur Article en page(s) : p.751-758 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract There are multiple recent reports of an association between anxious/depressed (A/D) symptomatology and the rate of cerebral cortical thickness maturation in typically developing youths. We investigated the degree to which anxious/depressed symptoms are tied to age-related microstructural changes in cerebral fiber pathways. The participants were part of the NIH MRI Study of Normal Brain Development. Child Behavior Checklist A/D scores and diffusion imaging were available for 175 youths (84 males, 91 females; 241 magnetic resonance imagings) at up to three visits. The participants ranged from 5.7 to 18.4 years of age at the time of the scan. Alignment of fractional anisotropy data was implemented using FSL/Tract-Based Spatial Statistics, and linear mixed model regression was carried out using SPSS. Child Behavior Checklist A/D was associated with the rate of microstructural development in several white matter pathways, including the bilateral anterior thalamic radiation, bilateral inferior longitudinal fasciculus, left superior longitudinal fasciculus, and right cingulum. Across these pathways, greater age-related fractional anisotropy increases were observed at lower levels of A/D. The results suggest that subclinical A/D symptoms are associated with the rate of microstructural development within several white matter pathways that have been implicated in affect regulation, as well as mood and anxiety psychopathology. En ligne : http://dx.doi.org/10.1017/s0954579416000444 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=311 [article] Anxious/depressed symptoms are related to microstructural maturation of white matter in typically developing youths [texte imprimé] / Matthew D. ALBAUGH, Auteur ; Simon DUCHARME, Auteur ; Sherif KARAMA, Auteur ; Richard WATTS, Auteur ; John D. LEWIS, Auteur ; Catherine ORR, Auteur ; Tuong-Vi NGUYEN, Auteur ; Robert C. MCKINSTRY, Auteur ; Kelly N. BOTTERON, Auteur ; Alan C. EVANS, Auteur ; James J. HUDZIAK, Auteur . - p.751-758. Langues : Anglais (eng) in Development and Psychopathology > 29-3 (August 2017) . - p.751-758 Index. décimale : PER Périodiques Résumé : Abstract There are multiple recent reports of an association between anxious/depressed (A/D) symptomatology and the rate of cerebral cortical thickness maturation in typically developing youths. We investigated the degree to which anxious/depressed symptoms are tied to age-related microstructural changes in cerebral fiber pathways. The participants were part of the NIH MRI Study of Normal Brain Development. Child Behavior Checklist A/D scores and diffusion imaging were available for 175 youths (84 males, 91 females; 241 magnetic resonance imagings) at up to three visits. The participants ranged from 5.7 to 18.4 years of age at the time of the scan. Alignment of fractional anisotropy data was implemented using FSL/Tract-Based Spatial Statistics, and linear mixed model regression was carried out using SPSS. Child Behavior Checklist A/D was associated with the rate of microstructural development in several white matter pathways, including the bilateral anterior thalamic radiation, bilateral inferior longitudinal fasciculus, left superior longitudinal fasciculus, and right cingulum. Across these pathways, greater age-related fractional anisotropy increases were observed at lower levels of A/D. The results suggest that subclinical A/D symptoms are associated with the rate of microstructural development within several white matter pathways that have been implicated in affect regulation, as well as mood and anxiety psychopathology. En ligne : http://dx.doi.org/10.1017/s0954579416000444 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=311

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

Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach / B. TUNC in Journal of Child Psychology and Psychiatry, 62-10 (October 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-10 (October 2021) . - p.1236-1245 Titre : Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach Type de document : texte imprimé Auteurs : B. TUNC, Auteur ; Juhi PANDEY, Auteur ; Tanya ST JOHN, Auteur ; Shoba S. MEERA, Auteur ; Jennifer E. MALDARELLI, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Heather C. HAZLETT, Auteur ; Stephen R. DAGER, Auteur ; Kelly N. BOTTERON, Auteur ; Jessica B. GIRAULT, Auteur ; Robert C. MCKINSTRY, Auteur ; Ragini VERMA, Auteur ; Jed T. ELISON, Auteur ; John R. PRUETT, Auteur ; Joseph PIVEN, Auteur ; Annette M. ESTES, Auteur ; Robert T. SCHULTZ, Auteur Article en page(s) : p.1236-1245 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Child, Preschool  Cohort Studies  Early Diagnosis  Humans  Phenotype  Siblings  Autism spectrum disorders  diagnosis  infancy  machine learning  stability  interest Index. décimale : PER Périodiques Résumé : BACKGROUND: Diagnostic shifts at early ages may provide invaluable insights into the nature of separation between autism spectrum disorder (ASD) and typical development. Recent conceptualizations of ASD suggest the condition is only fuzzily separated from non-ASD, with intermediate cases between the two. These intermediate cases may shift along a transition region over time, leading to apparent instability of diagnosis. METHODS: We used a cohort of children with high ASD risk, by virtue of having an older sibling with ASD, assessed at 24 months (N = 212) and 36 months (N = 191). We applied machine learning to empirically characterize the classification boundary between ASD and non-ASD, using variables quantifying developmental and adaptive skills. We computed the distance of children to the classification boundary. RESULTS: Children who switched diagnostic labels from 24 to 36 months, in both directions, (dynamic group) had intermediate phenotypic profiles. They were closer to the classification boundary compared to children who had stable diagnoses, both at 24 months (Cohen's d = .52) and at 36 months (d = .75). The magnitude of change in distance between the two time points was similar for the dynamic and stable groups (Cohen's d = .06), and diagnostic shifts were not associated with a large change. At the individual level, a few children in the dynamic group showed substantial change. CONCLUSIONS: Our results suggested that a diagnostic shift was largely due to a slight movement within a transition region between ASD and non-ASD. This fact highlights the need for more vigilant surveillance and intervention strategies. Young children with intermediate phenotypes may have an increased susceptibility to gain or lose their diagnosis at later ages, calling attention to the inherently dynamic nature of early ASD diagnoses. En ligne : http://dx.doi.org/10.1111/jcpp.13406 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach [texte imprimé] / B. TUNC, Auteur ; Juhi PANDEY, Auteur ; Tanya ST JOHN, Auteur ; Shoba S. MEERA, Auteur ; Jennifer E. MALDARELLI, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Heather C. HAZLETT, Auteur ; Stephen R. DAGER, Auteur ; Kelly N. BOTTERON, Auteur ; Jessica B. GIRAULT, Auteur ; Robert C. MCKINSTRY, Auteur ; Ragini VERMA, Auteur ; Jed T. ELISON, Auteur ; John R. PRUETT, Auteur ; Joseph PIVEN, Auteur ; Annette M. ESTES, Auteur ; Robert T. SCHULTZ, Auteur . - p.1236-1245. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-10 (October 2021) . - p.1236-1245 Mots-clés : Autism Spectrum Disorder/diagnosis  Child, Preschool  Cohort Studies  Early Diagnosis  Humans  Phenotype  Siblings  Autism spectrum disorders  diagnosis  infancy  machine learning  stability  interest Index. décimale : PER Périodiques Résumé : BACKGROUND: Diagnostic shifts at early ages may provide invaluable insights into the nature of separation between autism spectrum disorder (ASD) and typical development. Recent conceptualizations of ASD suggest the condition is only fuzzily separated from non-ASD, with intermediate cases between the two. These intermediate cases may shift along a transition region over time, leading to apparent instability of diagnosis. METHODS: We used a cohort of children with high ASD risk, by virtue of having an older sibling with ASD, assessed at 24 months (N = 212) and 36 months (N = 191). We applied machine learning to empirically characterize the classification boundary between ASD and non-ASD, using variables quantifying developmental and adaptive skills. We computed the distance of children to the classification boundary. RESULTS: Children who switched diagnostic labels from 24 to 36 months, in both directions, (dynamic group) had intermediate phenotypic profiles. They were closer to the classification boundary compared to children who had stable diagnoses, both at 24 months (Cohen's d = .52) and at 36 months (d = .75). The magnitude of change in distance between the two time points was similar for the dynamic and stable groups (Cohen's d = .06), and diagnostic shifts were not associated with a large change. At the individual level, a few children in the dynamic group showed substantial change. CONCLUSIONS: Our results suggested that a diagnostic shift was largely due to a slight movement within a transition region between ASD and non-ASD. This fact highlights the need for more vigilant surveillance and intervention strategies. Young children with intermediate phenotypes may have an increased susceptibility to gain or lose their diagnosis at later ages, calling attention to the inherently dynamic nature of early ASD diagnoses. En ligne : http://dx.doi.org/10.1111/jcpp.13406 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

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)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) 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 [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

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