Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data / Johanna Inhyang KIM in Journal of Autism and Developmental Disorders, 53-1 (January 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-1 (January 2023) . - p.25-37 Titre : Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data Type de document : texte imprimé Auteurs : Johanna Inhyang KIM, Auteur ; Sungkyu BANG, Auteur ; Jin-Ju YANG, Auteur ; Heejin KWON, Auteur ; Soomin JANG, Auteur ; Sungwon ROH, Auteur ; Seok Hyeon KIM, Auteur ; Mi Jung KIM, Auteur ; Hyun Ju LEE, Auteur ; Jong-Min LEE, Auteur ; Bung-Nyun KIM, Auteur Article en page(s) : p.25-37 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3 “6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy, sensitivity, and specificity of 88.8%, 93.0%, and 83.8%, respectively. The most prominent features were the cortical thickness of the right inferior occipital gyrus, mean diffusivity of the middle cerebellar peduncle, and nodal efficiency of the left posterior cingulate gyrus. Machine learning-based analysis of MRI data was useful in distinguishing low-functioning ASD preschoolers from TDCs. Combination of T1 and DTI improved classification accuracy about 10%, and large-scale multi-modal MRI studies are warranted for external validation. En ligne : https://doi.org/10.1007/s10803-021-05368-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492 [article] Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data [texte imprimé] / Johanna Inhyang KIM, Auteur ; Sungkyu BANG, Auteur ; Jin-Ju YANG, Auteur ; Heejin KWON, Auteur ; Soomin JANG, Auteur ; Sungwon ROH, Auteur ; Seok Hyeon KIM, Auteur ; Mi Jung KIM, Auteur ; Hyun Ju LEE, Auteur ; Jong-Min LEE, Auteur ; Bung-Nyun KIM, Auteur . - p.25-37. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-1 (January 2023) . - p.25-37 Index. décimale : PER Périodiques Résumé : Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3 “6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy, sensitivity, and specificity of 88.8%, 93.0%, and 83.8%, respectively. The most prominent features were the cortical thickness of the right inferior occipital gyrus, mean diffusivity of the middle cerebellar peduncle, and nodal efficiency of the left posterior cingulate gyrus. Machine learning-based analysis of MRI data was useful in distinguishing low-functioning ASD preschoolers from TDCs. Combination of T1 and DTI improved classification accuracy about 10%, and large-scale multi-modal MRI studies are warranted for external validation. En ligne : https://doi.org/10.1007/s10803-021-05368-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492

Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder / Daegyeom KIM in Autism Research, 14-11 (November 2021)  

Public ISBD [article]  inAutism Research > 14-11 (November 2021) . - p.2314-2329 Titre : Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder Type de document : texte imprimé Auteurs : Daegyeom KIM, Auteur ; Joo Young LEE, Auteur ; Byeong Chang JEONG, Auteur ; Ja-Hye AHN, Auteur ; Johanna Inhyang KIM, Auteur ; Eun Soo LEE, Auteur ; Hosanna KIM, Auteur ; Hyun Ju LEE, Auteur ; Cheol E. HAN, Auteur Article en page(s) : p.2314-2329 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Child  Child, Preschool  Humans  Magnetic Resonance Imaging  Neural Pathways/diagnostic imaging  Temporal Lobe/diagnostic imaging  Heschl's gyrus  autism spectrum disorder  brain networks  diffusion tensor imaging  graph theory  overconnectivity  preschool children Index. décimale : PER Périodiques Résumé : Previous studies have reported varying findings regarding the association of brain connectivity in autism spectrum disorder (ASD) with overconnectivity, underconnectivity, or both. Despite the emerging understanding that ASD is a developmental disconnection syndrome, very little is known about structural brain networks in preschool-aged children with low-functioning ASD. We aimed to investigate the structural brain connectivity of low-functioning ASD using diffusion magnetic resonance imaging and graph theory to examine alterations in different brain network topologies and identify any correlations with the clinical severity of ASD in preschool-aged children. Fifty-two preschool-aged children (28 with ASD and 24 with typical development) were included in the analysis. Graph-based network analysis was performed to examine the global and local structural brain networks. Nodal network measures exhibited increased nodal strength in the right Heschl's gyrus, which was positively associated with all autistic clinical symptoms (Autism Diagnostic Observation Schedule and Childhood Autism Rating Scale [CARS]). The nodal strength of the right inferior temporal gyrus showed a moderate correlation with the CARS score. Using network-based statistics, we identified a subnetwork with increased connections encompassing the right Heschl's gyrus and the right inferior temporal gyrus in preschool-aged children with ASD. The asymmetric value in the inferior temporal gyrus exhibited right dominance of nodal strength in children with ASD compared to that in typically developing children. Our findings support the theory of aberrant brain growth and overconnectivity as the underlying mechanism of ASD and provides new insights into potential regional biomarkers that can detect low-functioning ASD in preschool-aged children. LAY SUMMARY: This study supports the theory of aberrant brain growth and overconnectivity as an explanation for ASD. Measuring the right HG and inferior temporal gyrus provides new insights of potential regional biomarkers underpinning ASD in preschool-aged children. En ligne : http://dx.doi.org/10.1002/aur.2609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder [texte imprimé] / Daegyeom KIM, Auteur ; Joo Young LEE, Auteur ; Byeong Chang JEONG, Auteur ; Ja-Hye AHN, Auteur ; Johanna Inhyang KIM, Auteur ; Eun Soo LEE, Auteur ; Hosanna KIM, Auteur ; Hyun Ju LEE, Auteur ; Cheol E. HAN, Auteur . - p.2314-2329. Langues : Anglais (eng) in Autism Research > 14-11 (November 2021) . - p.2314-2329 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Child  Child, Preschool  Humans  Magnetic Resonance Imaging  Neural Pathways/diagnostic imaging  Temporal Lobe/diagnostic imaging  Heschl's gyrus  autism spectrum disorder  brain networks  diffusion tensor imaging  graph theory  overconnectivity  preschool children Index. décimale : PER Périodiques Résumé : Previous studies have reported varying findings regarding the association of brain connectivity in autism spectrum disorder (ASD) with overconnectivity, underconnectivity, or both. Despite the emerging understanding that ASD is a developmental disconnection syndrome, very little is known about structural brain networks in preschool-aged children with low-functioning ASD. We aimed to investigate the structural brain connectivity of low-functioning ASD using diffusion magnetic resonance imaging and graph theory to examine alterations in different brain network topologies and identify any correlations with the clinical severity of ASD in preschool-aged children. Fifty-two preschool-aged children (28 with ASD and 24 with typical development) were included in the analysis. Graph-based network analysis was performed to examine the global and local structural brain networks. Nodal network measures exhibited increased nodal strength in the right Heschl's gyrus, which was positively associated with all autistic clinical symptoms (Autism Diagnostic Observation Schedule and Childhood Autism Rating Scale [CARS]). The nodal strength of the right inferior temporal gyrus showed a moderate correlation with the CARS score. Using network-based statistics, we identified a subnetwork with increased connections encompassing the right Heschl's gyrus and the right inferior temporal gyrus in preschool-aged children with ASD. The asymmetric value in the inferior temporal gyrus exhibited right dominance of nodal strength in children with ASD compared to that in typically developing children. Our findings support the theory of aberrant brain growth and overconnectivity as the underlying mechanism of ASD and provides new insights into potential regional biomarkers that can detect low-functioning ASD in preschool-aged children. LAY SUMMARY: This study supports the theory of aberrant brain growth and overconnectivity as an explanation for ASD. Measuring the right HG and inferior temporal gyrus provides new insights of potential regional biomarkers underpinning ASD in preschool-aged children. En ligne : http://dx.doi.org/10.1002/aur.2609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

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