11 recherche sur le mot-clé 'Connectome'

Atypical maturation of the functional connectome hierarchy in autism / Sunghun KIM ; Shinwon PARK ; Hyoungshin CHOI ; Bo-Yong PARK ; Hyunjin PARK in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 21 Titre : Atypical maturation of the functional connectome hierarchy in autism Type de document : texte imprimé Auteurs : Sunghun KIM, Auteur ; Shinwon PARK, Auteur ; Hyoungshin CHOI, Auteur ; Bo-Yong PARK, Auteur ; Hyunjin PARK, Auteur Article en page(s) : 21 Langues : Anglais (eng) Mots-clés : Humans  Connectome  Adolescent  Child  Male  Young Adult  Female  Magnetic Resonance Imaging  Brain/diagnostic imaging/physiopathology  Child, Preschool  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Adult  Autism spectrum disorder  Cortical hierarchy  Integration and segregation  Normative modeling Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is marked by disruptions in low-level sensory processing and higher-order sociocognitive functions, suggesting a complex interplay between different brain regions across the cortical hierarchy. However, the developmental trajectory of this hierarchical organization in ASD remains underexplored. Herein, we investigated the maturational abnormalities in the cortical hierarchy among individuals with ASD. METHODS: Resting-state functional magnetic resonance imaging data from three large-scale datasets were analyzed: Autism Brain Imaging Data Exchange I and II and Lifespan Human Connectome Project Development (aged 5-22 years). The principal functional connectivity gradient representing cortical hierarchy was estimated using diffusion map embedding. By applying normative modeling with the generalized additive model for location, scale, and shape (GAMLSS), we captured the nonlinear trajectories of the developing functional gradient, as well as the individual-level deviations in ASD from typical development based on centile scores measured as deviations from the normative curves. A whole-brain summary metric, the functional hierarchy score, was derived to measure the extent of abnormal maturation in individuals with ASD. Finally, through a series of mediation analyses, we examined the potential role of network-level connectomic disruptions between the diagnoses and deviations in the cortical hierarchy. RESULTS: The maturation of cortical hierarchy in individuals with ASD followed a non-linear trajectory, showing delayed maturation during childhood compared to that of typically developing individuals, followed by an accelerated "catch-up" phase during adolescence and a subsequent decline in young adulthood. The nature of these deviations varied across networks, with sensory and attention networks displaying the most pronounced abnormalities in childhood, while higher-order networks, particularly the default mode network (DMN), remaining impaired from childhood to adolescence. Mediation analyses revealed that the persistent reduction in DMN segregation throughout development was a key contributor to the atypical development of cortical hierarchy in ASD. LIMITATIONS: The uneven distribution of samples across age groups, particularly in the later stages of development, limited our ability to fully capture developmental trajectories among older individuals. CONCLUSIONS: These findings highlight the importance of understanding the developmental trajectories of cortical organization in ASD, collectively suggesting that early interventions aimed at promoting the normative development of higher-order networks may be critical for improving outcomes in individuals with ASD. En ligne : https://dx.doi.org/10.1186/s13229-025-00641-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Atypical maturation of the functional connectome hierarchy in autism [texte imprimé] / Sunghun KIM, Auteur ; Shinwon PARK, Auteur ; Hyoungshin CHOI, Auteur ; Bo-Yong PARK, Auteur ; Hyunjin PARK, Auteur . - 21. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 21 Mots-clés : Humans  Connectome  Adolescent  Child  Male  Young Adult  Female  Magnetic Resonance Imaging  Brain/diagnostic imaging/physiopathology  Child, Preschool  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Adult  Autism spectrum disorder  Cortical hierarchy  Integration and segregation  Normative modeling Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is marked by disruptions in low-level sensory processing and higher-order sociocognitive functions, suggesting a complex interplay between different brain regions across the cortical hierarchy. However, the developmental trajectory of this hierarchical organization in ASD remains underexplored. Herein, we investigated the maturational abnormalities in the cortical hierarchy among individuals with ASD. METHODS: Resting-state functional magnetic resonance imaging data from three large-scale datasets were analyzed: Autism Brain Imaging Data Exchange I and II and Lifespan Human Connectome Project Development (aged 5-22 years). The principal functional connectivity gradient representing cortical hierarchy was estimated using diffusion map embedding. By applying normative modeling with the generalized additive model for location, scale, and shape (GAMLSS), we captured the nonlinear trajectories of the developing functional gradient, as well as the individual-level deviations in ASD from typical development based on centile scores measured as deviations from the normative curves. A whole-brain summary metric, the functional hierarchy score, was derived to measure the extent of abnormal maturation in individuals with ASD. Finally, through a series of mediation analyses, we examined the potential role of network-level connectomic disruptions between the diagnoses and deviations in the cortical hierarchy. RESULTS: The maturation of cortical hierarchy in individuals with ASD followed a non-linear trajectory, showing delayed maturation during childhood compared to that of typically developing individuals, followed by an accelerated "catch-up" phase during adolescence and a subsequent decline in young adulthood. The nature of these deviations varied across networks, with sensory and attention networks displaying the most pronounced abnormalities in childhood, while higher-order networks, particularly the default mode network (DMN), remaining impaired from childhood to adolescence. Mediation analyses revealed that the persistent reduction in DMN segregation throughout development was a key contributor to the atypical development of cortical hierarchy in ASD. LIMITATIONS: The uneven distribution of samples across age groups, particularly in the later stages of development, limited our ability to fully capture developmental trajectories among older individuals. CONCLUSIONS: These findings highlight the importance of understanding the developmental trajectories of cortical organization in ASD, collectively suggesting that early interventions aimed at promoting the normative development of higher-order networks may be critical for improving outcomes in individuals with ASD. En ligne : https://dx.doi.org/10.1186/s13229-025-00641-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Conduct disorder symptomatology is associated with an altered functional connectome in a large national youth sample / Scott TILLEM in Development and Psychopathology, 34-4 (October 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-4 (October 2022) . - p.1573-1584 Titre : Conduct disorder symptomatology is associated with an altered functional connectome in a large national youth sample Type de document : texte imprimé Auteurs : Scott TILLEM, Auteur ; May I. CONLEY, Auteur ; Arielle BASKIN-SOMMERS, Auteur Article en page(s) : p.1573-1584 Langues : Anglais (eng) Mots-clés : Adolescent  Brain  Child  Cluster Analysis  Conduct Disorder/diagnostic imaging  Connectome  Humans  Magnetic Resonance Imaging/methods  conduct disorder  graph analysis  neural topology  neurocognitive functioning  subcortical structures Index. décimale : PER Périodiques Résumé : Conduct disorder (CD), characterized by youth antisocial behavior, is associated with a variety of neurocognitive impairments. However, questions remain regarding the neural underpinnings of these impairments. To investigate novel neural mechanisms that may support these neurocognitive abnormalities, the present study applied a graph analysis to resting-state functional magnetic resonance imaging (fMRI) data collected from a national sample of 4,781 youth, ages 9-10, who participated in the baseline session of the Adolescent Brain Cognitive Development(SM) Study (ABCD Study®). Analyses were then conducted to examine the relationships among levels of CD symptomatology, metrics of global topology, node-level metrics for subcortical structures, and performance on neurocognitive assessments. Youth higher on CD displayed higher global clustering (ÃŽ2= .039, 95% CI(corrected) [.0027 .0771]), but lower Degree(subcortical) (ÃŽ2= -.052, 95% CI(corrected) [-.0916 -.0152]). Youth higher on CD had worse performance on a general neurocognitive assessment (ÃŽ2= -.104, 95% CI [-.1328 -.0763]) and an emotion recognition memory assessment (ÃŽ2= -.061, 95% CI [-.0919 -.0290]). Finally, global clustering mediated the relationship between CD and general neurocognitive functioning (indirect ÃŽ2= -.002, 95% CI [-.0044 -.0002]), and Degree(subcortical) mediated the relationship between CD and emotion recognition memory performance (indirect ÃŽ2= -.002, 95% CI [-.0046 -.0005]). CD appears associated with neuro-topological abnormalities and these abnormalities may represent neural mechanisms supporting CD-related neurocognitive disruptions. En ligne : http://dx.doi.org/10.1017/s0954579421000237 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 [article] Conduct disorder symptomatology is associated with an altered functional connectome in a large national youth sample [texte imprimé] / Scott TILLEM, Auteur ; May I. CONLEY, Auteur ; Arielle BASKIN-SOMMERS, Auteur . - p.1573-1584. Langues : Anglais (eng) in Development and Psychopathology > 34-4 (October 2022) . - p.1573-1584 Mots-clés : Adolescent  Brain  Child  Cluster Analysis  Conduct Disorder/diagnostic imaging  Connectome  Humans  Magnetic Resonance Imaging/methods  conduct disorder  graph analysis  neural topology  neurocognitive functioning  subcortical structures Index. décimale : PER Périodiques Résumé : Conduct disorder (CD), characterized by youth antisocial behavior, is associated with a variety of neurocognitive impairments. However, questions remain regarding the neural underpinnings of these impairments. To investigate novel neural mechanisms that may support these neurocognitive abnormalities, the present study applied a graph analysis to resting-state functional magnetic resonance imaging (fMRI) data collected from a national sample of 4,781 youth, ages 9-10, who participated in the baseline session of the Adolescent Brain Cognitive Development(SM) Study (ABCD Study®). Analyses were then conducted to examine the relationships among levels of CD symptomatology, metrics of global topology, node-level metrics for subcortical structures, and performance on neurocognitive assessments. Youth higher on CD displayed higher global clustering (ÃŽ2= .039, 95% CI(corrected) [.0027 .0771]), but lower Degree(subcortical) (ÃŽ2= -.052, 95% CI(corrected) [-.0916 -.0152]). Youth higher on CD had worse performance on a general neurocognitive assessment (ÃŽ2= -.104, 95% CI [-.1328 -.0763]) and an emotion recognition memory assessment (ÃŽ2= -.061, 95% CI [-.0919 -.0290]). Finally, global clustering mediated the relationship between CD and general neurocognitive functioning (indirect ÃŽ2= -.002, 95% CI [-.0044 -.0002]), and Degree(subcortical) mediated the relationship between CD and emotion recognition memory performance (indirect ÃŽ2= -.002, 95% CI [-.0046 -.0005]). CD appears associated with neuro-topological abnormalities and these abnormalities may represent neural mechanisms supporting CD-related neurocognitive disruptions. En ligne : http://dx.doi.org/10.1017/s0954579421000237 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489

Multimodal brain imaging in autism spectrum disorder and the promise of twin research / Katell MEVEL in Autism, 19-5 (July 2015)  

Public ISBD [article]  inAutism > 19-5 (July 2015) . - p.527-541 Titre : Multimodal brain imaging in autism spectrum disorder and the promise of twin research Type de document : texte imprimé Auteurs : Katell MEVEL, Auteur ; Peter FRANSSON, Auteur ; Sven BÖLTE, Auteur Article en page(s) : p.527-541 Langues : Anglais (eng) Mots-clés : autism  connectome  diffusion tensor imaging  monozygotic twins  neurodevelopmental disorders  resting-state functional magnetic resonance imaging  review Index. décimale : PER Périodiques Résumé : Current evidence suggests the phenotype of autism spectrum disorder to be driven by a complex interaction of genetic and environmental factors impacting onto brain maturation, synaptic function, and cortical networks. However, findings are heterogeneous, and the exact neurobiological pathways of autism spectrum disorder still remain poorly understood. The co-twin control or twin-difference design is a potentially powerful tool to disentangle causal genetic and environmental contributions on neurodevelopment in autism spectrum disorder. To this end, monozygotic twins discordant for this condition provide unique means for the maximum control of potentially confounding factors. Unfortunately, only few studies of a rather narrow scope, and limited sample size, have been conducted. In an attempt to highlight the great potential of combining the brain connectome approach with monozygotic twin design, we first give an overview of the existing neurobiological evidence for autism spectrum disorder and its cognitive correlates. Then, a special focus is made onto the brain imaging findings reported within populations of monozygotic twins phenotypically discordant for autism spectrum disorder. Finally, we introduce the brain connectome model and describe an ongoing project using this approach among the largest cohort of monozygotic twins discordant for autism spectrum disorder ever recruited. En ligne : http://dx.doi.org/10.1177/1362361314535510 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261 [article] Multimodal brain imaging in autism spectrum disorder and the promise of twin research [texte imprimé] / Katell MEVEL, Auteur ; Peter FRANSSON, Auteur ; Sven BÖLTE, Auteur . - p.527-541. Langues : Anglais (eng) in Autism > 19-5 (July 2015) . - p.527-541 Mots-clés : autism  connectome  diffusion tensor imaging  monozygotic twins  neurodevelopmental disorders  resting-state functional magnetic resonance imaging  review Index. décimale : PER Périodiques Résumé : Current evidence suggests the phenotype of autism spectrum disorder to be driven by a complex interaction of genetic and environmental factors impacting onto brain maturation, synaptic function, and cortical networks. However, findings are heterogeneous, and the exact neurobiological pathways of autism spectrum disorder still remain poorly understood. The co-twin control or twin-difference design is a potentially powerful tool to disentangle causal genetic and environmental contributions on neurodevelopment in autism spectrum disorder. To this end, monozygotic twins discordant for this condition provide unique means for the maximum control of potentially confounding factors. Unfortunately, only few studies of a rather narrow scope, and limited sample size, have been conducted. In an attempt to highlight the great potential of combining the brain connectome approach with monozygotic twin design, we first give an overview of the existing neurobiological evidence for autism spectrum disorder and its cognitive correlates. Then, a special focus is made onto the brain imaging findings reported within populations of monozygotic twins phenotypically discordant for autism spectrum disorder. Finally, we introduce the brain connectome model and describe an ongoing project using this approach among the largest cohort of monozygotic twins discordant for autism spectrum disorder ever recruited. En ligne : http://dx.doi.org/10.1177/1362361314535510 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261

Testing the extreme male brain hypothesis: Is autism spectrum disorder associated with a more male-typical brain? / Liza VAN EIJK in Autism Research, 14-8 (August 2021)  

Public ISBD [article]  inAutism Research > 14-8 (August 2021) . - p.1597-1608 Titre : Testing the extreme male brain hypothesis: Is autism spectrum disorder associated with a more male-typical brain? Type de document : texte imprimé Auteurs : Liza VAN EIJK, Auteur ; Brendan P. ZIETSCH, Auteur Article en page(s) : p.1597-1608 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/complications/diagnostic imaging  Autistic Disorder  Brain/diagnostic imaging  Connectome  Female  Humans  Magnetic Resonance Imaging  Male  Sex Characteristics  autism spectrum disorder  brain diseases  magnetic resonance imaging  masculinity  neuroimaging  sex characteristics Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is more common in males than females and has been linked to male-typical behavior. Accordingly, the "Extreme Male Brain" hypothesis suggests that ASD is associated with an exaggeratedly male-typical brain. To test this hypothesis, we derived a data-driven measure of individual differences along a male-female dimension based on sex differences in subcortical brain shape (i.e., brain maleness) by training our algorithm on two population samples (Queensland Twin IMaging study and Human Connectome Project; combined N = 2153). We then applied this algorithm to two clinical datasets (Autism Brain Imaging Data Exchange I and II; ASD N = 1060; neurotypical controls N = 1166) to obtain a brain maleness score for each individual, representing maleness of their brain on a male-female continuum. Consistent with the Extreme Male Brain hypothesis, we found a higher mean brain maleness score in the ASD group than in controls (d = 0.20 [0.12-0.29]), parallel to higher scores for control males than control females (d = 1.17 [1.05-1.29]). Further, brain maleness was positively associated with autistic symptoms. We tested the possibility this finding was driven by the ASD group's larger brains than controls (d = 0.17 [0.08-0.25]), given that males had larger brains than females (d = 0.96 [0.84-1.07]). Indeed, after adjusting for differences in brain size, the brain maleness difference between the ASD group and controls disappeared, and no association with autistic symptoms remained (after controlling for multiple comparisons), suggesting greater maleness of the autistic brain is driven by brain size. Brain maleness may be influenced by the same factors that influence brain size. LAY SUMMARY: A popular theory proposes that individuals with autistic spectrum disorder (ASD) have an "extreme male brain", but this has not been subject to rigorous, direct tests. We developed a measure of individual differences along a male-female dimension and then derived this measure for 1060 individuals with ASD and 1166 neurotypical controls. Individuals with ASD had slightly more male-type brains. However, this difference is accounted for by males and individuals with ASD having relatively larger brains than females and controls, respectively. En ligne : http://dx.doi.org/10.1002/aur.2537 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Testing the extreme male brain hypothesis: Is autism spectrum disorder associated with a more male-typical brain? [texte imprimé] / Liza VAN EIJK, Auteur ; Brendan P. ZIETSCH, Auteur . - p.1597-1608. Langues : Anglais (eng) in Autism Research > 14-8 (August 2021) . - p.1597-1608 Mots-clés : Autism Spectrum Disorder/complications/diagnostic imaging  Autistic Disorder  Brain/diagnostic imaging  Connectome  Female  Humans  Magnetic Resonance Imaging  Male  Sex Characteristics  autism spectrum disorder  brain diseases  magnetic resonance imaging  masculinity  neuroimaging  sex characteristics Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is more common in males than females and has been linked to male-typical behavior. Accordingly, the "Extreme Male Brain" hypothesis suggests that ASD is associated with an exaggeratedly male-typical brain. To test this hypothesis, we derived a data-driven measure of individual differences along a male-female dimension based on sex differences in subcortical brain shape (i.e., brain maleness) by training our algorithm on two population samples (Queensland Twin IMaging study and Human Connectome Project; combined N = 2153). We then applied this algorithm to two clinical datasets (Autism Brain Imaging Data Exchange I and II; ASD N = 1060; neurotypical controls N = 1166) to obtain a brain maleness score for each individual, representing maleness of their brain on a male-female continuum. Consistent with the Extreme Male Brain hypothesis, we found a higher mean brain maleness score in the ASD group than in controls (d = 0.20 [0.12-0.29]), parallel to higher scores for control males than control females (d = 1.17 [1.05-1.29]). Further, brain maleness was positively associated with autistic symptoms. We tested the possibility this finding was driven by the ASD group's larger brains than controls (d = 0.17 [0.08-0.25]), given that males had larger brains than females (d = 0.96 [0.84-1.07]). Indeed, after adjusting for differences in brain size, the brain maleness difference between the ASD group and controls disappeared, and no association with autistic symptoms remained (after controlling for multiple comparisons), suggesting greater maleness of the autistic brain is driven by brain size. Brain maleness may be influenced by the same factors that influence brain size. LAY SUMMARY: A popular theory proposes that individuals with autistic spectrum disorder (ASD) have an "extreme male brain", but this has not been subject to rigorous, direct tests. We developed a measure of individual differences along a male-female dimension and then derived this measure for 1060 individuals with ASD and 1166 neurotypical controls. Individuals with ASD had slightly more male-type brains. However, this difference is accounted for by males and individuals with ASD having relatively larger brains than females and controls, respectively. En ligne : http://dx.doi.org/10.1002/aur.2537 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study / Annika RAUSCH in Molecular Autism, 7 (2016)  

Public ISBD [article]  inMolecular Autism > 7 (2016) . - 13p. Titre : Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study Type de document : texte imprimé Auteurs : Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Koen V. HAAK, Auteur ; Maarten MENNES, Auteur ; Erno J. HERMANS, Auteur ; Erik VAN OORT, Auteur ; Guido VAN WINGEN, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur Article en page(s) : 13p. Langues : Anglais (eng) Mots-clés : Adolescent  Afferent Pathways/pathology/physiopathology  Amygdala/pathology/physiopathology  Autism Spectrum Disorder/pathology/physiopathology  Basolateral Nuclear Complex/pathology/physiopathology  Central Amygdaloid Nucleus/pathology/physiopathology  Connectome  Efferent Pathways/pathology/physiopathology  Emotions  Female  Humans  Image Processing, Computer-Assisted  Magnetic Resonance Imaging  Male  Models, Neurological  Models, Psychological  Neocortex/pathology/physiopathology  Nerve Net/pathology/physiopathology  Signal-To-Noise Ratio  Social Perception  Surveys and Questionnaires  Temporal Lobe/pathology/physiopathology  Young Adult  Amygdala  Autism spectrum disorder  Centromedial  Connectivity  Input-output  Laterobasal  Nuclei  Superficial Index. décimale : PER Périodiques Résumé : BACKGROUND: Amygdala dysfunction is hypothesized to underlie the social deficits observed in autism spectrum disorders (ASD). However, the neurobiological basis of this hypothesis is underspecified because it is unknown whether ASD relates to abnormalities of the amygdaloid input or output nuclei. Here, we investigated the functional connectivity of the amygdaloid social-perceptual input nuclei and emotion-regulation output nuclei in ASD versus controls. METHODS: We collected resting state functional magnetic resonance imaging (fMRI) data, tailored to provide optimal sensitivity in the amygdala as well as the neocortex, in 20 adolescents and young adults with ASD and 25 matched controls. We performed a regular correlation analysis between the entire amygdala (EA) and the whole brain and used a partial correlation analysis to investigate whole-brain functional connectivity uniquely related to each of the amygdaloid subregions. RESULTS: Between-group comparison of regular EA correlations showed significantly reduced connectivity in visuospatial and superior parietal areas in ASD compared to controls. Partial correlation analysis revealed that this effect was driven by the left superficial and right laterobasal input subregions, but not the centromedial output nuclei. CONCLUSIONS: These results indicate reduced connectivity of specifically the amygdaloid sensory input channels in ASD, suggesting that abnormal amygdalo-cortical connectivity can be traced down to the socio-perceptual pathways. En ligne : http://dx.doi.org/10.1186/s13229-015-0060-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 [article] Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study [texte imprimé] / Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Koen V. HAAK, Auteur ; Maarten MENNES, Auteur ; Erno J. HERMANS, Auteur ; Erik VAN OORT, Auteur ; Guido VAN WINGEN, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur . - 13p. Langues : Anglais (eng) in Molecular Autism > 7 (2016) . - 13p. Mots-clés : Adolescent  Afferent Pathways/pathology/physiopathology  Amygdala/pathology/physiopathology  Autism Spectrum Disorder/pathology/physiopathology  Basolateral Nuclear Complex/pathology/physiopathology  Central Amygdaloid Nucleus/pathology/physiopathology  Connectome  Efferent Pathways/pathology/physiopathology  Emotions  Female  Humans  Image Processing, Computer-Assisted  Magnetic Resonance Imaging  Male  Models, Neurological  Models, Psychological  Neocortex/pathology/physiopathology  Nerve Net/pathology/physiopathology  Signal-To-Noise Ratio  Social Perception  Surveys and Questionnaires  Temporal Lobe/pathology/physiopathology  Young Adult  Amygdala  Autism spectrum disorder  Centromedial  Connectivity  Input-output  Laterobasal  Nuclei  Superficial Index. décimale : PER Périodiques Résumé : BACKGROUND: Amygdala dysfunction is hypothesized to underlie the social deficits observed in autism spectrum disorders (ASD). However, the neurobiological basis of this hypothesis is underspecified because it is unknown whether ASD relates to abnormalities of the amygdaloid input or output nuclei. Here, we investigated the functional connectivity of the amygdaloid social-perceptual input nuclei and emotion-regulation output nuclei in ASD versus controls. METHODS: We collected resting state functional magnetic resonance imaging (fMRI) data, tailored to provide optimal sensitivity in the amygdala as well as the neocortex, in 20 adolescents and young adults with ASD and 25 matched controls. We performed a regular correlation analysis between the entire amygdala (EA) and the whole brain and used a partial correlation analysis to investigate whole-brain functional connectivity uniquely related to each of the amygdaloid subregions. RESULTS: Between-group comparison of regular EA correlations showed significantly reduced connectivity in visuospatial and superior parietal areas in ASD compared to controls. Partial correlation analysis revealed that this effect was driven by the left superficial and right laterobasal input subregions, but not the centromedial output nuclei. CONCLUSIONS: These results indicate reduced connectivity of specifically the amygdaloid sensory input channels in ASD, suggesting that abnormal amygdalo-cortical connectivity can be traced down to the socio-perceptual pathways. En ligne : http://dx.doi.org/10.1186/s13229-015-0060-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329

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)  

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Commentary: Developmental connectomics to advance our understanding of typical and atypical brain development – a commentary on Vértes and Bullmore () / Alice M. GRAHAM in Journal of Child Psychology and Psychiatry, 56-3 (March 2015)  

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Contracted functional connectivity profiles in autism / Clara F. WEBER in Molecular Autism, 15 (2024)  

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Effects of Overweight or Obesity on Brain Resting State Functional Connectivity of Children with Autism Spectrum Disorder / Chanaka N. KAHATHUDUWA in Journal of Autism and Developmental Disorders, 49-12 (December 2019)  

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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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