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Faire une suggestion Affiner la rechercheBrain 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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[article]
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 Brain volumes, cognitive, and adaptive skills in school-age children with Down syndrome / Rebecca GRZADZINSKI in Journal of Neurodevelopmental Disorders, 16 (2024)
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Titre : Brain volumes, cognitive, and adaptive skills in school-age children with Down syndrome Type de document : texte imprimé Auteurs : Rebecca GRZADZINSKI, Auteur ; Kattia MATA, Auteur ; Ambika S. BHATT, Auteur ; Alapika JATKAR, Auteur ; Dea GARIC, Auteur ; Mark D. SHEN, Auteur ; Jessica B. GIRAULT, Auteur ; Tanya ST JOHN, Auteur ; Juhi PANDEY, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Annette ESTES, Auteur ; Audrey M. SHEN, Auteur ; Stephen DAGER, Auteur ; Robert SCHULTZ, Auteur ; Kelly BOTTERON, Auteur ; Natasha MARRUS, Auteur ; Martin STYNER, Auteur ; Alan EVANS, Auteur ; Sun Hyung KIM, Auteur ; Robert MCKINSTRY, Auteur ; Guido GERIG, Auteur ; Joseph PIVEN, Auteur ; Heather HAZLETT, Auteur ; IBIS NETWORK, Auteur Langues : Anglais (eng) Mots-clés : Humans Down Syndrome/diagnostic imaging/physiopathology/pathology Male Female Child Magnetic Resonance Imaging Adaptation, Psychological/physiology Cognition/physiology Brain/diagnostic imaging/pathology/physiopathology Autism Spectrum Disorder/diagnostic imaging/physiopathology/pathology Organ Size Cerebellum/diagnostic imaging/pathology/physiopathology Adaptive Autism spectrum disorder Brain volumes Cognitive Cortical volumes Down syndrome Intellectual disability Mri Neurobehavioral/behavioral profiles Neurodevelopmental disorder Neuroimaging School-age children in this work was approved by the local Institutional Review Board. Consent for publication: All authors have reviewed the manuscript and approved it for publication. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Down syndrome (DS) is the most common congenital neurodevelopmental disorder, present in about 1 in every 700 live births. Despite its prevalence, literature exploring the neurobiology underlying DS and how this neurobiology is related to behavior is limited. This study fills this gap by examining cortical volumes and behavioral correlates in school-age children with DS. METHODS: School-age children (mean = 9.7 years ± 1.1) underwent comprehensive assessments, including cognitive and adaptive assessments, as well as an MRI scan without the use of sedation. Children with DS (n = 35) were compared to available samples of typically developing (TD; n = 80) and ASD children (n = 29). ANOVAs were conducted to compare groups on cognitive and adaptive assessments. ANCOVAs (covarying for age, sex, and total cerebral volume; TCV) compared cortical brain volumes between groups. Correlations between behavioral metrics and cortical and cerebellar volumes (separately for gray (GM) and white matter (WM)) were conducted separately by group. RESULTS: As expected, children with DS had significantly lower cognitive skills compared to ASD and TD children. Daily Living adaptive skills were comparable between ASD children and children with DS, and both groups scored lower than TD children. Children with DS exhibited a smaller TCV compared to ASD and TD children. Additionally, when controlling for TCV, age, and sex, children with DS had significantly smaller total GM and tissue volumes. Cerebellum volumes were significantly correlated with Daily Living adaptive behaviors in the DS group only. CONCLUSIONS: Despite children with DS exhibiting lower cognitive skills and smaller brain volume overall than children with ASD, their deficits in Socialization and Daily Living adaptive skills are comparable. Differences in lobar volumes (e.g., Right Frontal GM/WM, Left Frontal WM, and Left and Right Temporal WM) were observed above and beyond overall differences in total volume. The correlation between cerebellum volumes and Daily Living adaptive behaviors in the DS group provides a novel area to explore in future research. En ligne : https://dx.doi.org/10.1186/s11689-024-09581-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576
in Journal of Neurodevelopmental Disorders > 16 (2024)[article] Brain volumes, cognitive, and adaptive skills in school-age children with Down syndrome [texte imprimé] / Rebecca GRZADZINSKI, Auteur ; Kattia MATA, Auteur ; Ambika S. BHATT, Auteur ; Alapika JATKAR, Auteur ; Dea GARIC, Auteur ; Mark D. SHEN, Auteur ; Jessica B. GIRAULT, Auteur ; Tanya ST JOHN, Auteur ; Juhi PANDEY, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Annette ESTES, Auteur ; Audrey M. SHEN, Auteur ; Stephen DAGER, Auteur ; Robert SCHULTZ, Auteur ; Kelly BOTTERON, Auteur ; Natasha MARRUS, Auteur ; Martin STYNER, Auteur ; Alan EVANS, Auteur ; Sun Hyung KIM, Auteur ; Robert MCKINSTRY, Auteur ; Guido GERIG, Auteur ; Joseph PIVEN, Auteur ; Heather HAZLETT, Auteur ; IBIS NETWORK, Auteur.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 16 (2024)
Mots-clés : Humans Down Syndrome/diagnostic imaging/physiopathology/pathology Male Female Child Magnetic Resonance Imaging Adaptation, Psychological/physiology Cognition/physiology Brain/diagnostic imaging/pathology/physiopathology Autism Spectrum Disorder/diagnostic imaging/physiopathology/pathology Organ Size Cerebellum/diagnostic imaging/pathology/physiopathology Adaptive Autism spectrum disorder Brain volumes Cognitive Cortical volumes Down syndrome Intellectual disability Mri Neurobehavioral/behavioral profiles Neurodevelopmental disorder Neuroimaging School-age children in this work was approved by the local Institutional Review Board. Consent for publication: All authors have reviewed the manuscript and approved it for publication. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Down syndrome (DS) is the most common congenital neurodevelopmental disorder, present in about 1 in every 700 live births. Despite its prevalence, literature exploring the neurobiology underlying DS and how this neurobiology is related to behavior is limited. This study fills this gap by examining cortical volumes and behavioral correlates in school-age children with DS. METHODS: School-age children (mean = 9.7 years ± 1.1) underwent comprehensive assessments, including cognitive and adaptive assessments, as well as an MRI scan without the use of sedation. Children with DS (n = 35) were compared to available samples of typically developing (TD; n = 80) and ASD children (n = 29). ANOVAs were conducted to compare groups on cognitive and adaptive assessments. ANCOVAs (covarying for age, sex, and total cerebral volume; TCV) compared cortical brain volumes between groups. Correlations between behavioral metrics and cortical and cerebellar volumes (separately for gray (GM) and white matter (WM)) were conducted separately by group. RESULTS: As expected, children with DS had significantly lower cognitive skills compared to ASD and TD children. Daily Living adaptive skills were comparable between ASD children and children with DS, and both groups scored lower than TD children. Children with DS exhibited a smaller TCV compared to ASD and TD children. Additionally, when controlling for TCV, age, and sex, children with DS had significantly smaller total GM and tissue volumes. Cerebellum volumes were significantly correlated with Daily Living adaptive behaviors in the DS group only. CONCLUSIONS: Despite children with DS exhibiting lower cognitive skills and smaller brain volume overall than children with ASD, their deficits in Socialization and Daily Living adaptive skills are comparable. Differences in lobar volumes (e.g., Right Frontal GM/WM, Left Frontal WM, and Left and Right Temporal WM) were observed above and beyond overall differences in total volume. The correlation between cerebellum volumes and Daily Living adaptive behaviors in the DS group provides a novel area to explore in future research. En ligne : https://dx.doi.org/10.1186/s11689-024-09581-6 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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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 Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism / Jason J. WOLFF in Molecular Autism, 8 (2017)
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Titre : Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism Type de document : texte imprimé Auteurs : Jason J. WOLFF, Auteur ; Meghan R. SWANSON, Auteur ; Jed T. ELISON, Auteur ; Guido GERIG, Auteur ; John R. PRUETT, Auteur ; Martin A. STYNER, Auteur ; Clement VACHET, Auteur ; Kelly N. BOTTERON, Auteur ; Stephen R. DAGER, Auteur ; Annette M. ESTES, Auteur ; Heather C. HAZLETT, Auteur ; Robert T. SCHULTZ, Auteur ; Mark D. SHEN, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur Article en page(s) : 8p. Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging/*psychology Brain/diagnostic imaging/*physiology Brain Mapping/*methods Child, Preschool Diffusion Tensor Imaging/*methods Female Humans Infant Longitudinal Studies Male Stereotyped Behavior/*physiology *Autism *Diffusion tensor imaging *Infant *Longitudinal *Repetitive behavior *White matter Index. décimale : PER Périodiques Résumé : BACKGROUND: Restricted and repetitive behaviors are defining features of autism spectrum disorder (ASD). Under revised diagnostic criteria for ASD, this behavioral domain now includes atypical responses to sensory stimuli. To date, little is known about the neural circuitry underlying these features of ASD early in life. METHODS: Longitudinal diffusion tensor imaging data were collected from 217 infants at high familial risk for ASD. Forty-four of these infants were diagnosed with ASD at age 2. Targeted cortical, cerebellar, and striatal white matter pathways were defined and measured at ages 6, 12, and 24 months. Dependent variables included the Repetitive Behavior Scale-Revised and the Sensory Experiences Questionnaire. RESULTS: Among children diagnosed with ASD, repetitive behaviors and sensory response patterns were strongly correlated, even when accounting for developmental level or social impairment. Longitudinal analyses indicated that the genu and cerebellar pathways were significantly associated with both repetitive behaviors and sensory responsiveness but not social deficits. At age 6 months, fractional anisotropy in the genu significantly predicted repetitive behaviors and sensory responsiveness at age 2. Cerebellar pathways significantly predicted later sensory responsiveness. Exploratory analyses suggested a possible disordinal interaction based on diagnostic status for the association between fractional anisotropy and repetitive behavior. CONCLUSIONS: Our findings suggest that restricted and repetitive behaviors contributing to a diagnosis of ASD at age 2 years are associated with structural properties of callosal and cerebellar white matter pathways measured during infancy and toddlerhood. We further identified that repetitive behaviors and unusual sensory response patterns co-occur and share common brain-behavior relationships. These results were strikingly specific given the absence of association between targeted pathways and social deficits. En ligne : http://dx.doi.org/10.1186/s13229-017-0126-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=331
in Molecular Autism > 8 (2017) . - 8p.[article] Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism [texte imprimé] / Jason J. WOLFF, Auteur ; Meghan R. SWANSON, Auteur ; Jed T. ELISON, Auteur ; Guido GERIG, Auteur ; John R. PRUETT, Auteur ; Martin A. STYNER, Auteur ; Clement VACHET, Auteur ; Kelly N. BOTTERON, Auteur ; Stephen R. DAGER, Auteur ; Annette M. ESTES, Auteur ; Heather C. HAZLETT, Auteur ; Robert T. SCHULTZ, Auteur ; Mark D. SHEN, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur . - 8p.
Langues : Anglais (eng)
in Molecular Autism > 8 (2017) . - 8p.
Mots-clés : Autism Spectrum Disorder/diagnostic imaging/*psychology Brain/diagnostic imaging/*physiology Brain Mapping/*methods Child, Preschool Diffusion Tensor Imaging/*methods Female Humans Infant Longitudinal Studies Male Stereotyped Behavior/*physiology *Autism *Diffusion tensor imaging *Infant *Longitudinal *Repetitive behavior *White matter Index. décimale : PER Périodiques Résumé : BACKGROUND: Restricted and repetitive behaviors are defining features of autism spectrum disorder (ASD). Under revised diagnostic criteria for ASD, this behavioral domain now includes atypical responses to sensory stimuli. To date, little is known about the neural circuitry underlying these features of ASD early in life. METHODS: Longitudinal diffusion tensor imaging data were collected from 217 infants at high familial risk for ASD. Forty-four of these infants were diagnosed with ASD at age 2. Targeted cortical, cerebellar, and striatal white matter pathways were defined and measured at ages 6, 12, and 24 months. Dependent variables included the Repetitive Behavior Scale-Revised and the Sensory Experiences Questionnaire. RESULTS: Among children diagnosed with ASD, repetitive behaviors and sensory response patterns were strongly correlated, even when accounting for developmental level or social impairment. Longitudinal analyses indicated that the genu and cerebellar pathways were significantly associated with both repetitive behaviors and sensory responsiveness but not social deficits. At age 6 months, fractional anisotropy in the genu significantly predicted repetitive behaviors and sensory responsiveness at age 2. Cerebellar pathways significantly predicted later sensory responsiveness. Exploratory analyses suggested a possible disordinal interaction based on diagnostic status for the association between fractional anisotropy and repetitive behavior. CONCLUSIONS: Our findings suggest that restricted and repetitive behaviors contributing to a diagnosis of ASD at age 2 years are associated with structural properties of callosal and cerebellar white matter pathways measured during infancy and toddlerhood. We further identified that repetitive behaviors and unusual sensory response patterns co-occur and share common brain-behavior relationships. These results were strikingly specific given the absence of association between targeted pathways and social deficits. En ligne : http://dx.doi.org/10.1186/s13229-017-0126-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=331 Offering to Share: How to Put Heads Together in Autism Neuroimaging / Matthew K. BELMONTE in Journal of Autism and Developmental Disorders, 38-1 (January 2008)
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Titre : Offering to Share: How to Put Heads Together in Autism Neuroimaging Type de document : texte imprimé Auteurs : Matthew K. BELMONTE, Auteur ; Anders M. DALE, Auteur ; Christos DAVATZIKOS, Auteur ; Guido GERIG, Auteur ; Martha R. HERBERT, Auteur ; Robert T. SCHULTZ, Auteur ; Janet E. LAINHART, Auteur ; Declan G.M. MURPHY, Auteur ; Thomas A. ZEFFIRO, Auteur ; Susan LEVI-PEARL, Auteur ; Clara M. LAJONCHERE, Auteur ; Diane C. CHUGANI, Auteur ; Rita M. CANTOR, Auteur ; Elizabeth H. AYLWARD, Auteur ; Allan L. REISS, Auteur ; Joseph PIVEN, Auteur ; Nancy J. MINSHEW, Auteur ; Eric COURCHESNE, Auteur ; David G. AMARAL, Auteur ; John C. MAZZIOTTA, Auteur ; Alan C. EVANS, Auteur ; Stephen R. DAGER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Sophia A. COLAMARINO, Auteur Année de publication : 2008 Article en page(s) : p.2-13 Langues : Anglais (eng) Mots-clés : Imaging MRI PET Morphometry Segmentation Data-sharing Index. décimale : PER Périodiques Résumé : Data sharing in autism neuroimaging presents scientific, technical, and social obstacles. We outline the desiderata for a data-sharing scheme that combines imaging with other measures of phenotype and with genetics, defines requirements for comparability of derived data and recommendations for raw data, outlines a core protocol including multispectral structural and diffusion-tensor imaging and optional extensions, provides for the collection of prospective, confound-free normative data, and extends sharing and collaborative development not only to data but to the analytical tools and methods applied to these data. A theme in these requirements is the need to preserve creative approaches and risk-taking within individual laboratories at the same time as common standards are provided for these laboratories to build on.
En ligne : http://dx.doi.org/10.1007/s10803-006-0352-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=315
in Journal of Autism and Developmental Disorders > 38-1 (January 2008) . - p.2-13[article] Offering to Share: How to Put Heads Together in Autism Neuroimaging [texte imprimé] / Matthew K. BELMONTE, Auteur ; Anders M. DALE, Auteur ; Christos DAVATZIKOS, Auteur ; Guido GERIG, Auteur ; Martha R. HERBERT, Auteur ; Robert T. SCHULTZ, Auteur ; Janet E. LAINHART, Auteur ; Declan G.M. MURPHY, Auteur ; Thomas A. ZEFFIRO, Auteur ; Susan LEVI-PEARL, Auteur ; Clara M. LAJONCHERE, Auteur ; Diane C. CHUGANI, Auteur ; Rita M. CANTOR, Auteur ; Elizabeth H. AYLWARD, Auteur ; Allan L. REISS, Auteur ; Joseph PIVEN, Auteur ; Nancy J. MINSHEW, Auteur ; Eric COURCHESNE, Auteur ; David G. AMARAL, Auteur ; John C. MAZZIOTTA, Auteur ; Alan C. EVANS, Auteur ; Stephen R. DAGER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Sophia A. COLAMARINO, Auteur . - 2008 . - p.2-13.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 38-1 (January 2008) . - p.2-13
Mots-clés : Imaging MRI PET Morphometry Segmentation Data-sharing Index. décimale : PER Périodiques Résumé : Data sharing in autism neuroimaging presents scientific, technical, and social obstacles. We outline the desiderata for a data-sharing scheme that combines imaging with other measures of phenotype and with genetics, defines requirements for comparability of derived data and recommendations for raw data, outlines a core protocol including multispectral structural and diffusion-tensor imaging and optional extensions, provides for the collection of prospective, confound-free normative data, and extends sharing and collaborative development not only to data but to the analytical tools and methods applied to these data. A theme in these requirements is the need to preserve creative approaches and risk-taking within individual laboratories at the same time as common standards are provided for these laboratories to build on.
En ligne : http://dx.doi.org/10.1007/s10803-006-0352-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=315 Teasing apart the heterogeneity of autism: Same behavior, different brains in toddlers with fragile X syndrome and autism / Heather C. HAZLETT in Journal of Neurodevelopmental Disorders, 1-1 (March 2009)
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