Comparison of three different eye-tracking tasks for distinguishing autistic from typically developing children and autistic symptom severity / Juan KOU in Autism Research, 12-10 (October 2019)  

Public ISBD [article]  inAutism Research > 12-10 (October 2019) . - p.1529-1540 Titre : Comparison of three different eye-tracking tasks for distinguishing autistic from typically developing children and autistic symptom severity Type de document : texte imprimé Auteurs : Juan KOU, Auteur ; Jiao LE, Auteur ; Meina FU, Auteur ; Chunmei LAN, Auteur ; Zhuo CHEN, Auteur ; Qiang LI, Auteur ; Weihua ZHAO, Auteur ; Lei XU, Auteur ; Benjamin BECKER, Auteur ; Keith M. KENDRICK, Auteur Article en page(s) : p.1529-1540 Langues : Anglais (eng) Mots-clés : Chinese children  attentional preference bias  autism spectrum disorder  dynamic social stimuli  eye-tracking Index. décimale : PER Périodiques Résumé : Altered patterns of visual social attention preference detected using eye-tracking and a variety of different paradigms are increasingly proposed as sensitive biomarkers for autism spectrum disorder. However, few eye-tracking studies have compared the relative efficacy of different paradigms to discriminate between autistic compared with typically developing children and their sensitivity to specific symptoms. To target this issue, the current study used three common eye-tracking protocols contrasting social versus nonsocial stimuli in young (2-7 years old) Chinese autistic (n = 35) and typically developing (n = 34) children matched for age and gender. Protocols included dancing people versus dynamic geometrical images, biological motion (dynamic light point walking human or cat) versus nonbiological motion (scrambled controls), and child playing with toy versus toy alone. Although all three paradigms differentiated autistic and typically developing children, the dancing people versus dynamic geometry pattern paradigm was the most effective, with autistic children showing marked reductions in visual preference for dancing people and correspondingly increased one for geometric patterns. Furthermore, this altered visual preference in autistic children was correlated with the Autism Diagnostic Observation Schedule social affect score and had the highest discrimination accuracy. Our results therefore indicate that decreased visual preference for dynamic social stimuli may be the most effective visual attention-based paradigm for use as a biomarker for autism in Chinese children. Clinical trial ID: NCT03286621 (clinicaltrials.gov); Clinical trial name: Development of Eye-tracking Based Markers for Autism in Young Children. Autism Res 2019, 12: 1529-1540. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Eye-tracking measures may be useful in aiding diagnosis and treatment of autism, although it is unclear which specific tasks are optimal. Here we compare the ability of three different social eye-gaze tasks to discriminate between autistic and typically developing young Chinese children and their sensitivity to specific autistic symptoms. Our results show that a dynamic task comparing visual preference for social (individuals dancing) versus geometric patterns is the most effective both for diagnosing autism and sensitivity to its social affect symptoms. En ligne : http://dx.doi.org/10.1002/aur.2174 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408 [article] Comparison of three different eye-tracking tasks for distinguishing autistic from typically developing children and autistic symptom severity [texte imprimé] / Juan KOU, Auteur ; Jiao LE, Auteur ; Meina FU, Auteur ; Chunmei LAN, Auteur ; Zhuo CHEN, Auteur ; Qiang LI, Auteur ; Weihua ZHAO, Auteur ; Lei XU, Auteur ; Benjamin BECKER, Auteur ; Keith M. KENDRICK, Auteur . - p.1529-1540. Langues : Anglais (eng) in Autism Research > 12-10 (October 2019) . - p.1529-1540 Mots-clés : Chinese children  attentional preference bias  autism spectrum disorder  dynamic social stimuli  eye-tracking Index. décimale : PER Périodiques Résumé : Altered patterns of visual social attention preference detected using eye-tracking and a variety of different paradigms are increasingly proposed as sensitive biomarkers for autism spectrum disorder. However, few eye-tracking studies have compared the relative efficacy of different paradigms to discriminate between autistic compared with typically developing children and their sensitivity to specific symptoms. To target this issue, the current study used three common eye-tracking protocols contrasting social versus nonsocial stimuli in young (2-7 years old) Chinese autistic (n = 35) and typically developing (n = 34) children matched for age and gender. Protocols included dancing people versus dynamic geometrical images, biological motion (dynamic light point walking human or cat) versus nonbiological motion (scrambled controls), and child playing with toy versus toy alone. Although all three paradigms differentiated autistic and typically developing children, the dancing people versus dynamic geometry pattern paradigm was the most effective, with autistic children showing marked reductions in visual preference for dancing people and correspondingly increased one for geometric patterns. Furthermore, this altered visual preference in autistic children was correlated with the Autism Diagnostic Observation Schedule social affect score and had the highest discrimination accuracy. Our results therefore indicate that decreased visual preference for dynamic social stimuli may be the most effective visual attention-based paradigm for use as a biomarker for autism in Chinese children. Clinical trial ID: NCT03286621 (clinicaltrials.gov); Clinical trial name: Development of Eye-tracking Based Markers for Autism in Young Children. Autism Res 2019, 12: 1529-1540. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Eye-tracking measures may be useful in aiding diagnosis and treatment of autism, although it is unclear which specific tasks are optimal. Here we compare the ability of three different social eye-gaze tasks to discriminate between autistic and typically developing young Chinese children and their sensitivity to specific autistic symptoms. Our results show that a dynamic task comparing visual preference for social (individuals dancing) versus geometric patterns is the most effective both for diagnosing autism and sensitivity to its social affect symptoms. En ligne : http://dx.doi.org/10.1002/aur.2174 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408

Decreased homotopic interhemispheric functional connectivity in children with autism spectrum disorder / Shuxia YAO in Autism Research, 14-8 (August 2021)  

Public ISBD [article]  inAutism Research > 14-8 (August 2021) . - p.1609-1620 Titre : Decreased homotopic interhemispheric functional connectivity in children with autism spectrum disorder Type de document : texte imprimé Auteurs : Shuxia YAO, Auteur ; Menghan ZHOU, Auteur ; Yuan ZHANG, Auteur ; Feng ZHOU, Auteur ; Qianqian ZHANG, Auteur ; Zhongbo ZHAO, Auteur ; Xi JIANG, Auteur ; Xiu XU, Auteur ; Benjamin BECKER, Auteur ; Keith M. KENDRICK, Auteur Année de publication : 2021 Article en page(s) : p.1609-1620 Langues : Anglais (eng) Mots-clés : Adolescent  Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Child  Child, Preschool  Corpus Callosum/diagnostic imaging  Humans  Magnetic Resonance Imaging  Neural Pathways/diagnostic imaging  autism spectrum disorder  children  corpus callosum  homotopic interhemispheric functional connectivity  resting-state Index. décimale : PER Périodiques Résumé : While several functional and structural changes occur in large-scale brain networks in autism spectrum disorder (ASD), reduced interhemispheric resting-state functional connectivity (rsFC) between homotopic regions may be of particular importance as a biomarker. ASD is an early-onset developmental disorder and neural alterations are often age-dependent. Although there is some evidence for homotopic interhemispheric rsFC alterations in language processing regions in ASD children, wider analyses using large data sets have not been performed. The present study, therefore, conducted a voxel-based homotopic interhemispheric rsFC analysis in 146 ASD and 175 typically developing children under-age 10 and examined associations with symptom severity in the autism brain imaging data exchange data sets. Given the role of corpus callosum (CC) in interhemispheric connectivity and reported CC volume changes in ASD we additionally examined whether there were parallel volumetric changes. Results demonstrated decreased homotopic rsFC in ASD children in the posterior cingulate cortex (PCC) and precuneus of the default mode network, the precentral gyrus of the mirror neuron system, and the caudate of the reward system. Homotopic rsFC of the PCC was associated with symptom severity. Furthermore, although no significant CC volume changes were found in ASD children, there was a significant negative correlation between the anterior CC volumes and homotopic rsFC strengths in the caudate. The present study shows that a reduced pattern of homotopic interhemispheric rsFC in ASD adults/adolescents is already present in children of 5-10 years old and further supports their potential use as a general ASD biomarker. LAY SUMMARY: Homotopic interhemispheric functional connectivity plays an important role in synchronizing activity between the two hemispheres and is altered in adults and adolescents with autism spectrum disorder (ASD). In the present study focused on children with ASD, we have observed a similar pattern of decreased homotopic connectivity, suggesting that alterations in homotopic interhemispheric connectivity may occur early in ASD and be a useful general biomarker across ages. En ligne : http://dx.doi.org/10.1002/aur.2523 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Decreased homotopic interhemispheric functional connectivity in children with autism spectrum disorder [texte imprimé] / Shuxia YAO, Auteur ; Menghan ZHOU, Auteur ; Yuan ZHANG, Auteur ; Feng ZHOU, Auteur ; Qianqian ZHANG, Auteur ; Zhongbo ZHAO, Auteur ; Xi JIANG, Auteur ; Xiu XU, Auteur ; Benjamin BECKER, Auteur ; Keith M. KENDRICK, Auteur . - 2021 . - p.1609-1620. Langues : Anglais (eng) in Autism Research > 14-8 (August 2021) . - p.1609-1620 Mots-clés : Adolescent  Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Child  Child, Preschool  Corpus Callosum/diagnostic imaging  Humans  Magnetic Resonance Imaging  Neural Pathways/diagnostic imaging  autism spectrum disorder  children  corpus callosum  homotopic interhemispheric functional connectivity  resting-state Index. décimale : PER Périodiques Résumé : While several functional and structural changes occur in large-scale brain networks in autism spectrum disorder (ASD), reduced interhemispheric resting-state functional connectivity (rsFC) between homotopic regions may be of particular importance as a biomarker. ASD is an early-onset developmental disorder and neural alterations are often age-dependent. Although there is some evidence for homotopic interhemispheric rsFC alterations in language processing regions in ASD children, wider analyses using large data sets have not been performed. The present study, therefore, conducted a voxel-based homotopic interhemispheric rsFC analysis in 146 ASD and 175 typically developing children under-age 10 and examined associations with symptom severity in the autism brain imaging data exchange data sets. Given the role of corpus callosum (CC) in interhemispheric connectivity and reported CC volume changes in ASD we additionally examined whether there were parallel volumetric changes. Results demonstrated decreased homotopic rsFC in ASD children in the posterior cingulate cortex (PCC) and precuneus of the default mode network, the precentral gyrus of the mirror neuron system, and the caudate of the reward system. Homotopic rsFC of the PCC was associated with symptom severity. Furthermore, although no significant CC volume changes were found in ASD children, there was a significant negative correlation between the anterior CC volumes and homotopic rsFC strengths in the caudate. The present study shows that a reduced pattern of homotopic interhemispheric rsFC in ASD adults/adolescents is already present in children of 5-10 years old and further supports their potential use as a general ASD biomarker. LAY SUMMARY: Homotopic interhemispheric functional connectivity plays an important role in synchronizing activity between the two hemispheres and is altered in adults and adolescents with autism spectrum disorder (ASD). In the present study focused on children with ASD, we have observed a similar pattern of decreased homotopic connectivity, suggesting that alterations in homotopic interhemispheric connectivity may occur early in ASD and be a useful general biomarker across ages. En ligne : http://dx.doi.org/10.1002/aur.2523 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Facial emotion training as an intervention in autism spectrum disorder: A meta-analysis of randomized controlled trials / Qianqian ZHANG in Autism Research, 14-10 (October 2021)  

Public ISBD [article]  inAutism Research > 14-10 (October 2021) . - p.2169-2182 Titre : Facial emotion training as an intervention in autism spectrum disorder: A meta-analysis of randomized controlled trials Type de document : texte imprimé Auteurs : Qianqian ZHANG, Auteur ; Renjing WU, Auteur ; Siyu ZHU, Auteur ; Jiao LE, Auteur ; Yuanshu CHEN, Auteur ; Chunmei LAN, Auteur ; Shuxia YAO, Auteur ; Weihua ZHAO, Auteur ; Keith M. KENDRICK, Auteur Année de publication : 2021 Article en page(s) : p.2169-2182 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/therapy  Emotions  Facial Recognition  Humans  Randomized Controlled Trials as Topic  Social Skills  autism spectrum disorder  emotion expression  emotion recognition  emotion understanding  facial emotion training  meta-analysis  social skills Index. décimale : PER Périodiques Résumé : A large number of computer-based training programs have been developed as an intervention to help individuals with autism spectrum disorders (ASD) improve their facial emotion recognition ability, as well as social skills. However, it is unclear to what extent these facial emotion training programs can produce beneficial, long-lasting, and generalizable results. Using standard meta-analytic techniques, we investigated the effects of facial emotion training including generalization and maintenance restricted to randomized control trial studies comprising a total of 595 individuals with ASD. Our findings revealed that the intervention resulted in a robust improvement in emotion recognition for individuals receiving training compared with controls. However, while there was also some evidence for generalization of training effects, the small number of studies which conducted follow-ups and assessed social skills reported that improvements were not maintained and there was no evidence for general improvement in social skills. Overall, the analysis revealed a medium effect size in training improvement indicating that facial emotion training may be an effective method for enhancing emotion recognition skills in ASD although more studies are required to assess maintenance of effects and possible general improvements in social skills. LAY SUMMARY: Facial emotion training as an intervention may be a potential way to help improve emotion recognition in autism spectrum disorder (ASD), however robust empirical support for its efficacy has not been sufficiently established. Here, we conducted a meta-analysis of previous studies to summarize the effects of facial emotion training on ASD. Our results show that the training produces a robust improvement in subsequent emotion recognition, while maintenance and generalization effects still need further investigation. To date, no experimentally verified improvements in social skills have been reported. En ligne : http://dx.doi.org/10.1002/aur.2565 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Facial emotion training as an intervention in autism spectrum disorder: A meta-analysis of randomized controlled trials [texte imprimé] / Qianqian ZHANG, Auteur ; Renjing WU, Auteur ; Siyu ZHU, Auteur ; Jiao LE, Auteur ; Yuanshu CHEN, Auteur ; Chunmei LAN, Auteur ; Shuxia YAO, Auteur ; Weihua ZHAO, Auteur ; Keith M. KENDRICK, Auteur . - 2021 . - p.2169-2182. Langues : Anglais (eng) in Autism Research > 14-10 (October 2021) . - p.2169-2182 Mots-clés : Autism Spectrum Disorder/therapy  Emotions  Facial Recognition  Humans  Randomized Controlled Trials as Topic  Social Skills  autism spectrum disorder  emotion expression  emotion recognition  emotion understanding  facial emotion training  meta-analysis  social skills Index. décimale : PER Périodiques Résumé : A large number of computer-based training programs have been developed as an intervention to help individuals with autism spectrum disorders (ASD) improve their facial emotion recognition ability, as well as social skills. However, it is unclear to what extent these facial emotion training programs can produce beneficial, long-lasting, and generalizable results. Using standard meta-analytic techniques, we investigated the effects of facial emotion training including generalization and maintenance restricted to randomized control trial studies comprising a total of 595 individuals with ASD. Our findings revealed that the intervention resulted in a robust improvement in emotion recognition for individuals receiving training compared with controls. However, while there was also some evidence for generalization of training effects, the small number of studies which conducted follow-ups and assessed social skills reported that improvements were not maintained and there was no evidence for general improvement in social skills. Overall, the analysis revealed a medium effect size in training improvement indicating that facial emotion training may be an effective method for enhancing emotion recognition skills in ASD although more studies are required to assess maintenance of effects and possible general improvements in social skills. LAY SUMMARY: Facial emotion training as an intervention may be a potential way to help improve emotion recognition in autism spectrum disorder (ASD), however robust empirical support for its efficacy has not been sufficiently established. Here, we conducted a meta-analysis of previous studies to summarize the effects of facial emotion training on ASD. Our results show that the training produces a robust improvement in subsequent emotion recognition, while maintenance and generalization effects still need further investigation. To date, no experimentally verified improvements in social skills have been reported. En ligne : http://dx.doi.org/10.1002/aur.2565 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

Language Skill Differences Further Distinguish Social Sub-types in Children with Autism / Qin LI ; Xiaolu ZHANG ; Xinwei SONG ; Siyu ZHU ; Xiaojing SHOU ; Fanchao MENG ; Xinjie XU ; Rong ZHANG ; Keith M. KENDRICK in Journal of Autism and Developmental Disorders, 54-1 (January 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-1 (January 2024) . - p.143-154 Titre : Language Skill Differences Further Distinguish Social Sub-types in Children with Autism Type de document : texte imprimé Auteurs : Qin LI, Auteur ; Xiaolu ZHANG, Auteur ; Xinwei SONG, Auteur ; Siyu ZHU, Auteur ; Xiaojing SHOU, Auteur ; Fanchao MENG, Auteur ; Xinjie XU, Auteur ; Rong ZHANG, Auteur ; Keith M. KENDRICK, Auteur Article en page(s) : p.143-154 Index. décimale : PER Périodiques Résumé : This study investigated heterogeneity in language skills of children with autism and their relationship with different autistic social subtypes. Data from 90 autistic and 30 typically developing children were analyzed. Results showed that autistic social subtypes varied in language skill problems (aloof > passive > active-but-odd). There was a negative association between aloof dimension scores and language performance but positive for the active-but-odd dimension and no association in the passive one. Moreover, aloof dimension score was the main contributor to language performance. A receiver operating characteristic analysis suggested language vocabulary as an additional component in differentiating autistic social subtypes. These findings demonstrate that variations in language skills in autistic children provide additional information for discriminating their social subtype. En ligne : https://doi.org/10.1007/s10803-022-05759-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520 [article] Language Skill Differences Further Distinguish Social Sub-types in Children with Autism [texte imprimé] / Qin LI, Auteur ; Xiaolu ZHANG, Auteur ; Xinwei SONG, Auteur ; Siyu ZHU, Auteur ; Xiaojing SHOU, Auteur ; Fanchao MENG, Auteur ; Xinjie XU, Auteur ; Rong ZHANG, Auteur ; Keith M. KENDRICK, Auteur . - p.143-154. in Journal of Autism and Developmental Disorders > 54-1 (January 2024) . - p.143-154 Index. décimale : PER Périodiques Résumé : This study investigated heterogeneity in language skills of children with autism and their relationship with different autistic social subtypes. Data from 90 autistic and 30 typically developing children were analyzed. Results showed that autistic social subtypes varied in language skill problems (aloof > passive > active-but-odd). There was a negative association between aloof dimension scores and language performance but positive for the active-but-odd dimension and no association in the passive one. Moreover, aloof dimension score was the main contributor to language performance. A receiver operating characteristic analysis suggested language vocabulary as an additional component in differentiating autistic social subtypes. These findings demonstrate that variations in language skills in autistic children provide additional information for discriminating their social subtype. En ligne : https://doi.org/10.1007/s10803-022-05759-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520

Structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder / Peng QING in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 43p. Titre : Structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder Type de document : texte imprimé Auteurs : Peng QING, Auteur ; Xiaodong ZHANG, Auteur ; Qi LIU, Auteur ; Linghong HUANG, Auteur ; Dan XU, Auteur ; Jiao LE, Auteur ; Keith M. KENDRICK, Auteur ; Hua LAI, Auteur ; Weihua ZHAO, Auteur Article en page(s) : 43p. Langues : Anglais (eng) Mots-clés : Humans  White Matter/diagnostic imaging/pathology/physiopathology  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Male  Female  Diffusion Tensor Imaging  Adolescent  Child  Adult  Young Adult  Structure-Activity Relationship  Magnetic Resonance Imaging  Autism spectrum disorder  Diffusion tensor  Functional connectivity tensor  Structure-function coupling  White matter tracts Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with alterations in structural and functional coupling in gray matter. However, despite the detectability and modulation of brain signals in white matter, the structure-function coupling in white matter in autism remains less explored. METHODS: In this study, we investigated structural-functional coupling in white matter (WM) regions, by integrating diffusion tensor data that contain fiber orientation information from WM tracts, with functional connectivity tensor data that reflect local functional anisotropy information. Using functional and diffusion magnetic resonance images, we analyzed a cohort of 89 ASD and 63 typically developing (TD) individuals from the Autism Brain Imaging Data Exchange II (ABIDE-II). Subsequently, the associations between structural-functional coupling in WM regions and ASD severity symptoms assessed by Autism Diagnostic Observation Schedule-2 were examined via supervised machine learning in an independent test cohort of 29 ASD individuals. Furthermore, we also compared the performance of multi-model features (i.e. structural-functional coupling) with single-model features (i.e. functional or structural models alone). RESULTS: In the discovery cohort (ABIDE-II), individuals with ASD exhibited widespread reductions in structural-functional coupling in WM regions compared to TD individuals, particularly in commissural tracts (e.g. corpus callosum), association tracts (sagittal stratum), and projection tracts (e.g. internal capsule). Notably, supervised machine learning analysis in the independent test cohort revealed a significant correlation between these alterations in structural-functional coupling and ASD severity scores. Furthermore, compared to single-model features, the integration of multi-model features (i.e., structural-functional coupling) performed best in predicting ASD severity scores. CONCLUSION: This work provides novel evidence for atypical structural-functional coupling in ASD in white matter regions, further refining our understanding of the critical role of WM networks in the pathophysiology of ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00620-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder [texte imprimé] / Peng QING, Auteur ; Xiaodong ZHANG, Auteur ; Qi LIU, Auteur ; Linghong HUANG, Auteur ; Dan XU, Auteur ; Jiao LE, Auteur ; Keith M. KENDRICK, Auteur ; Hua LAI, Auteur ; Weihua ZHAO, Auteur . - 43p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 43p. Mots-clés : Humans  White Matter/diagnostic imaging/pathology/physiopathology  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Male  Female  Diffusion Tensor Imaging  Adolescent  Child  Adult  Young Adult  Structure-Activity Relationship  Magnetic Resonance Imaging  Autism spectrum disorder  Diffusion tensor  Functional connectivity tensor  Structure-function coupling  White matter tracts Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with alterations in structural and functional coupling in gray matter. However, despite the detectability and modulation of brain signals in white matter, the structure-function coupling in white matter in autism remains less explored. METHODS: In this study, we investigated structural-functional coupling in white matter (WM) regions, by integrating diffusion tensor data that contain fiber orientation information from WM tracts, with functional connectivity tensor data that reflect local functional anisotropy information. Using functional and diffusion magnetic resonance images, we analyzed a cohort of 89 ASD and 63 typically developing (TD) individuals from the Autism Brain Imaging Data Exchange II (ABIDE-II). Subsequently, the associations between structural-functional coupling in WM regions and ASD severity symptoms assessed by Autism Diagnostic Observation Schedule-2 were examined via supervised machine learning in an independent test cohort of 29 ASD individuals. Furthermore, we also compared the performance of multi-model features (i.e. structural-functional coupling) with single-model features (i.e. functional or structural models alone). RESULTS: In the discovery cohort (ABIDE-II), individuals with ASD exhibited widespread reductions in structural-functional coupling in WM regions compared to TD individuals, particularly in commissural tracts (e.g. corpus callosum), association tracts (sagittal stratum), and projection tracts (e.g. internal capsule). Notably, supervised machine learning analysis in the independent test cohort revealed a significant correlation between these alterations in structural-functional coupling and ASD severity scores. Furthermore, compared to single-model features, the integration of multi-model features (i.e., structural-functional coupling) performed best in predicting ASD severity scores. CONCLUSION: This work provides novel evidence for atypical structural-functional coupling in ASD in white matter regions, further refining our understanding of the critical role of WM networks in the pathophysiology of ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00620-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

The salience of competing nonsocial objects reduces gaze toward social stimuli, but not the eyes, more in typically developing than autistic boys / Xiao-E. CAI in Autism Research, 15-6 (June 2022)  

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