4 recherche sur le mot-clé 'Autism Spectrum Disorder/diagnostic imaging/physiopathology'

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

White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study / Heather L. GREEN ; Marybeth MCNAMEE ; Rose E. FRANZEN ; Marissa A. DIPIERO ; Jeffrey I. BERMAN ; Matthew KU ; Luke BLOY ; Song LIU ; Megan AIREY ; Sophia GOLDIN ; Lisa BLASKEY ; Emily S. KUSCHNER ; Mina KIM ; Kimberly KONKA ; Gregory A. MILLER ; J. Christopher EDGAR in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 19 Titre : White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study Type de document : texte imprimé Auteurs : Heather L. GREEN, Auteur ; Marybeth MCNAMEE, Auteur ; Rose E. FRANZEN, Auteur ; Marissa A. DIPIERO, Auteur ; Jeffrey I. BERMAN, Auteur ; Matthew KU, Auteur ; Luke BLOY, Auteur ; Song LIU, Auteur ; Megan AIREY, Auteur ; Sophia GOLDIN, Auteur ; Lisa BLASKEY, Auteur ; Emily S. KUSCHNER, Auteur ; Mina KIM, Auteur ; Kimberly KONKA, Auteur ; Gregory A. MILLER, Auteur ; J. Christopher EDGAR, Auteur Article en page(s) : 19 Langues : Anglais (eng) Mots-clés : Humans  White Matter/diagnostic imaging/pathology  Child  Male  Female  Longitudinal Studies  Magnetoencephalography  Diffusion Tensor Imaging  Multimodal Imaging  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Rest  Alpha Rhythm  Autistic Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology/pathology  Autism spectrum disorder  Dti  Maturation  Peak alpha frequency  Human ethics: This study was approved by the Institutional Review Board of  Children?s Hospital of Philadelphia (IRB 15-012531) and performed in accordance  with the Declaration of Helsinki. Parents gave written informed consent and the  children gave verbal and written assent. Index. décimale : PER Périodiques Résumé : We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), with previous studies observing a higher PAF in school-age children with ASD versus typically developing (TD) children, as well as an association between the RS PAF and measures of processing speed in TD but not ASD. The brain mechanisms associated with these findings are unknown. A few studies have found that in children more mature optic radiation white matter is associated with a higher PAF. Other studies have reported white matter and neural activity associations in TD but not ASD. The present study hypothesized that group differences in the RS PAF are due, in part, to group differences in optic radiation white matter and PAF associations. The maturation of the RS PAF (measured using magnetoencephalography(MEG)), optic radiation white matter (measured using diffusion tensor imaging(DTI)), and associations with processing speed were assessed in a longitudinal cohort of TD and ASD children. Time 1 MEG and DTI measures were obtained at 6-8 years old (59TD and 56ASD) with follow-up brain measures collected?~ 1.5 and ~ 3 years later. The parietal-occipital PAF increased with age in both groups by 0.13 Hz/year, with a main effect of group showing the expected higher PAF in ASD than TD (an average of 0.26 Hz across the 3 time points). Across age, the RS PAF predicted processing speed in TD but not ASD. Finally, more mature optic radiation white matter measures (FA, RD, MD, AD) were associated with a higher PAF in both groups. Present findings provide additional evidence supporting the use of the RS PAF as a brain marker in children with ASD 6-10 years old, and replicate findings of an association between the RS PAF and processing speed in TD but not ASD. The hypothesis that the RS PAF group differences (with ASD leading TD by about 2 years) would be explained by group differences in optic radiation white matter was not supported, with brain structure-function associations indicating that more mature optic radiation white matter is associated with a higher RS PAF in both groups. En ligne : https://dx.doi.org/10.1186/s13229-025-00646-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study [texte imprimé] / Heather L. GREEN, Auteur ; Marybeth MCNAMEE, Auteur ; Rose E. FRANZEN, Auteur ; Marissa A. DIPIERO, Auteur ; Jeffrey I. BERMAN, Auteur ; Matthew KU, Auteur ; Luke BLOY, Auteur ; Song LIU, Auteur ; Megan AIREY, Auteur ; Sophia GOLDIN, Auteur ; Lisa BLASKEY, Auteur ; Emily S. KUSCHNER, Auteur ; Mina KIM, Auteur ; Kimberly KONKA, Auteur ; Gregory A. MILLER, Auteur ; J. Christopher EDGAR, Auteur . - 19. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 19 Mots-clés : Humans  White Matter/diagnostic imaging/pathology  Child  Male  Female  Longitudinal Studies  Magnetoencephalography  Diffusion Tensor Imaging  Multimodal Imaging  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Rest  Alpha Rhythm  Autistic Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology/pathology  Autism spectrum disorder  Dti  Maturation  Peak alpha frequency  Human ethics: This study was approved by the Institutional Review Board of  Children?s Hospital of Philadelphia (IRB 15-012531) and performed in accordance  with the Declaration of Helsinki. Parents gave written informed consent and the  children gave verbal and written assent. Index. décimale : PER Périodiques Résumé : We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), with previous studies observing a higher PAF in school-age children with ASD versus typically developing (TD) children, as well as an association between the RS PAF and measures of processing speed in TD but not ASD. The brain mechanisms associated with these findings are unknown. A few studies have found that in children more mature optic radiation white matter is associated with a higher PAF. Other studies have reported white matter and neural activity associations in TD but not ASD. The present study hypothesized that group differences in the RS PAF are due, in part, to group differences in optic radiation white matter and PAF associations. The maturation of the RS PAF (measured using magnetoencephalography(MEG)), optic radiation white matter (measured using diffusion tensor imaging(DTI)), and associations with processing speed were assessed in a longitudinal cohort of TD and ASD children. Time 1 MEG and DTI measures were obtained at 6-8 years old (59TD and 56ASD) with follow-up brain measures collected?~ 1.5 and ~ 3 years later. The parietal-occipital PAF increased with age in both groups by 0.13 Hz/year, with a main effect of group showing the expected higher PAF in ASD than TD (an average of 0.26 Hz across the 3 time points). Across age, the RS PAF predicted processing speed in TD but not ASD. Finally, more mature optic radiation white matter measures (FA, RD, MD, AD) were associated with a higher PAF in both groups. Present findings provide additional evidence supporting the use of the RS PAF as a brain marker in children with ASD 6-10 years old, and replicate findings of an association between the RS PAF and processing speed in TD but not ASD. The hypothesis that the RS PAF group differences (with ASD leading TD by about 2 years) would be explained by group differences in optic radiation white matter was not supported, with brain structure-function associations indicating that more mature optic radiation white matter is associated with a higher RS PAF in both groups. En ligne : https://dx.doi.org/10.1186/s13229-025-00646-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography / Dalin YANG in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 35p. Titre : Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography Type de document : texte imprimé Auteurs : Dalin YANG, Auteur ; Alexandra M. SVOBODA, Auteur ; Tessa G. GEORGE, Auteur ; Patricia K. MANSFIELD, Auteur ; Muriah D. WHEELOCK, Auteur ; Mariel L. SCHROEDER, Auteur ; Sean M. RAFFERTY, Auteur ; Arefeh SHERAFATI, Auteur ; Kalyan TRIPATHY, Auteur ; Tracy BURNS-YOCUM, Auteur ; Elizabeth FORSEN, Auteur ; John R. PRUETT, Auteur ; Natasha M. MARRUS, Auteur ; Joseph P. CULVER, Auteur ; John N. CONSTANTINO, Auteur ; Adam T. EGGEBRECHT, Auteur Article en page(s) : 35p. Langues : Anglais (eng) Mots-clés : Humans  Tomography, Optical/methods  Male  Child  Female  Motion Perception/physiology  Brain Mapping/methods  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Magnetic Resonance Imaging/methods  Adolescent  Autism spectrum disorder  Biological motion  High-density diffuse optical tomography  Neuroimaging  Social perception Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits. METHODS: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models. RESULTS: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism. CONCLUSIONS: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits. En ligne : https://dx.doi.org/10.1186/s13229-024-00614-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography [texte imprimé] / Dalin YANG, Auteur ; Alexandra M. SVOBODA, Auteur ; Tessa G. GEORGE, Auteur ; Patricia K. MANSFIELD, Auteur ; Muriah D. WHEELOCK, Auteur ; Mariel L. SCHROEDER, Auteur ; Sean M. RAFFERTY, Auteur ; Arefeh SHERAFATI, Auteur ; Kalyan TRIPATHY, Auteur ; Tracy BURNS-YOCUM, Auteur ; Elizabeth FORSEN, Auteur ; John R. PRUETT, Auteur ; Natasha M. MARRUS, Auteur ; Joseph P. CULVER, Auteur ; John N. CONSTANTINO, Auteur ; Adam T. EGGEBRECHT, Auteur . - 35p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 35p. Mots-clés : Humans  Tomography, Optical/methods  Male  Child  Female  Motion Perception/physiology  Brain Mapping/methods  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Magnetic Resonance Imaging/methods  Adolescent  Autism spectrum disorder  Biological motion  High-density diffuse optical tomography  Neuroimaging  Social perception Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits. METHODS: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models. RESULTS: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism. CONCLUSIONS: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits. En ligne : https://dx.doi.org/10.1186/s13229-024-00614-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population / Igor NENADIĆ in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 44p. Titre : Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population Type de document : texte imprimé Auteurs : Igor NENADIĆ, Auteur ; Yvonne SCHRÖDER, Auteur ; Jonas HOFFMANN, Auteur ; Ulrika EVERMANN, Auteur ; Julia-Katharina PFARR, Auteur ; Aliénor BERGMANN, Auteur ; Daniela Michelle HOHMANN, Auteur ; Boris KEIL, Auteur ; Ahmad ABU-AKEL, Auteur ; Sanna STROTH, Auteur ; Inge KAMP-BECKER, Auteur ; Andreas JANSEN, Auteur ; Sarah GREZELLSCHAK, Auteur ; Tina MELLER, Auteur Article en page(s) : 44p. Langues : Anglais (eng) Mots-clés : Humans  Male  Female  Adult  Temporal Lobe/diagnostic imaging  Magnetic Resonance Imaging  Young Adult  Autistic Disorder/diagnostic imaging/physiopathology  Adolescent  Middle Aged  Nerve Net/diagnostic imaging  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain Mapping/methods  Phenotype  Autism quotient (AQ)  Autism spectrum disorder (ASD)  Cortical surface complexity  Interpersonal  Subclinical Index. décimale : PER Périodiques Résumé : BACKGROUND: Autistic-like traits (ALT) are prevalent across the general population and might be linked to some facets of a broader autism spectrum disorder (ASD) phenotype. Recent studies suggest an association of these traits with both genetic and brain structural markers in non-autistic individuals, showing similar spatial location of findings observed in ASD and thus suggesting a potential neurobiological continuum. METHODS: In this study, we first tested an association of ALTs (assessed with the AQ questionnaire) with cortical complexity, a cortical surface marker of early neurodevelopment, and then the association with disrupted functional connectivity. We analysed structural T1-weighted and resting-state functional MRI scans in 250 psychiatrically healthy individuals without a history of early developmental disorders, in a first step using the CAT12 toolbox for cortical complexity analysis and in a second step we used regional cortical complexity findings to apply the CONN toolbox for seed-based functional connectivity analysis. RESULTS: Our findings show a significant negative correlation of both AQ total and AQ attention switching subscores with left superior temporal sulcus (STS) cortical folding complexity, with the former being significantly correlated with STS to left lateral occipital cortex connectivity, while the latter showed significant positive correlation of STS to left inferior/middle frontal gyrus connectivity (n = 233; all p < 0.05, FWE cluster-level corrected). Additional analyses also revealed a significant correlation of AQ attention to detail subscores with STS to left lateral occipital cortex connectivity. LIMITATIONS: Phenotyping might affect association results (e.g. choice of inventories); in addition, our study was limited to subclinical expressions of autistic-like traits. CONCLUSIONS: Our findings provide further evidence for biological correlates of ALT even in the absence of clinical ASD, while establishing a link between structural variation of early developmental origin and functional connectivity. En ligne : https://dx.doi.org/10.1186/s13229-024-00623-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population [texte imprimé] / Igor NENADIĆ, Auteur ; Yvonne SCHRÖDER, Auteur ; Jonas HOFFMANN, Auteur ; Ulrika EVERMANN, Auteur ; Julia-Katharina PFARR, Auteur ; Aliénor BERGMANN, Auteur ; Daniela Michelle HOHMANN, Auteur ; Boris KEIL, Auteur ; Ahmad ABU-AKEL, Auteur ; Sanna STROTH, Auteur ; Inge KAMP-BECKER, Auteur ; Andreas JANSEN, Auteur ; Sarah GREZELLSCHAK, Auteur ; Tina MELLER, Auteur . - 44p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 44p. Mots-clés : Humans  Male  Female  Adult  Temporal Lobe/diagnostic imaging  Magnetic Resonance Imaging  Young Adult  Autistic Disorder/diagnostic imaging/physiopathology  Adolescent  Middle Aged  Nerve Net/diagnostic imaging  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain Mapping/methods  Phenotype  Autism quotient (AQ)  Autism spectrum disorder (ASD)  Cortical surface complexity  Interpersonal  Subclinical Index. décimale : PER Périodiques Résumé : BACKGROUND: Autistic-like traits (ALT) are prevalent across the general population and might be linked to some facets of a broader autism spectrum disorder (ASD) phenotype. Recent studies suggest an association of these traits with both genetic and brain structural markers in non-autistic individuals, showing similar spatial location of findings observed in ASD and thus suggesting a potential neurobiological continuum. METHODS: In this study, we first tested an association of ALTs (assessed with the AQ questionnaire) with cortical complexity, a cortical surface marker of early neurodevelopment, and then the association with disrupted functional connectivity. We analysed structural T1-weighted and resting-state functional MRI scans in 250 psychiatrically healthy individuals without a history of early developmental disorders, in a first step using the CAT12 toolbox for cortical complexity analysis and in a second step we used regional cortical complexity findings to apply the CONN toolbox for seed-based functional connectivity analysis. RESULTS: Our findings show a significant negative correlation of both AQ total and AQ attention switching subscores with left superior temporal sulcus (STS) cortical folding complexity, with the former being significantly correlated with STS to left lateral occipital cortex connectivity, while the latter showed significant positive correlation of STS to left inferior/middle frontal gyrus connectivity (n = 233; all p < 0.05, FWE cluster-level corrected). Additional analyses also revealed a significant correlation of AQ attention to detail subscores with STS to left lateral occipital cortex connectivity. LIMITATIONS: Phenotyping might affect association results (e.g. choice of inventories); in addition, our study was limited to subclinical expressions of autistic-like traits. CONCLUSIONS: Our findings provide further evidence for biological correlates of ALT even in the absence of clinical ASD, while establishing a link between structural variation of early developmental origin and functional connectivity. En ligne : https://dx.doi.org/10.1186/s13229-024-00623-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538