Altered Temporospatial Variability of Dynamic Amplitude of Low-Frequency Fluctuation in Children with Autism Spectrum Disorder / Xiaonan GUO in Journal of Autism and Developmental Disorders, 56-5 (May 2026)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 56-5 (May 2026) . - p.1902-1919 Titre : Altered Temporospatial Variability of Dynamic Amplitude of Low-Frequency Fluctuation in Children with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Xiaonan GUO, Auteur ; Xueting WANG, Auteur ; Rongjuan ZHOU, Auteur ; Dong CUI, Auteur ; Junfeng LIU, Auteur ; Le GAO, Auteur Article en page(s) : p.1902-1919 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a neurodevelopmental disorder with altered brain activity. However, little is known about the integrated temporospatial variation of dynamic spontaneous brain activity in ASD. In the present study, resting-state functional magnetic resonance imaging data were analyzed for 105 ASD and 102 demographically-matched typically developmental controls (TC) children obtained from the Autism Brain Imaging Data Exchange database. Using the sliding-window approach, temporal, spatial, and temporospatial variability of dynamic amplitude of low-frequency fluctuation (tvALFF, svALFF, and tsvALFF) were calculated for each participant. Group-comparisons were further performed at global, network, and brain region levels to quantify differences between ASD and TC groups. The relationship between temporospatial dynamic amplitude of low-frequency fluctuation variation alterations and clinical symptoms of ASD was finally explored by a support vector regression model. Relative to TC, we found enhanced tvALFF in visual network (Vis), somatomotor network (SMT), and salience/ventral attention network (SVA) of ASD, and weakened tvALFF in dorsal attention network (DAN) of ASD. Besides, ASD showed decreased svALFF in Vis, SVA, and limbic network (Limbic), and increased svALFF in DAN and default mode network (DMN). Elevated tsvALFF was found in the Vis, SMT, and DMN of ASD. More importantly, the altered tsvALFF from the DMN can predict the symptom severity of ASD. These findings demonstrate altered temporospatial dynamics of the spontaneous brain activity in ASD and provide novel insights into the neural mechanism underlying ASD. En ligne : https://doi.org/10.1007/s10803-024-06661-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587 [article] Altered Temporospatial Variability of Dynamic Amplitude of Low-Frequency Fluctuation in Children with Autism Spectrum Disorder [texte imprimé] / Xiaonan GUO, Auteur ; Xueting WANG, Auteur ; Rongjuan ZHOU, Auteur ; Dong CUI, Auteur ; Junfeng LIU, Auteur ; Le GAO, Auteur . - p.1902-1919. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 56-5 (May 2026) . - p.1902-1919 Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a neurodevelopmental disorder with altered brain activity. However, little is known about the integrated temporospatial variation of dynamic spontaneous brain activity in ASD. In the present study, resting-state functional magnetic resonance imaging data were analyzed for 105 ASD and 102 demographically-matched typically developmental controls (TC) children obtained from the Autism Brain Imaging Data Exchange database. Using the sliding-window approach, temporal, spatial, and temporospatial variability of dynamic amplitude of low-frequency fluctuation (tvALFF, svALFF, and tsvALFF) were calculated for each participant. Group-comparisons were further performed at global, network, and brain region levels to quantify differences between ASD and TC groups. The relationship between temporospatial dynamic amplitude of low-frequency fluctuation variation alterations and clinical symptoms of ASD was finally explored by a support vector regression model. Relative to TC, we found enhanced tvALFF in visual network (Vis), somatomotor network (SMT), and salience/ventral attention network (SVA) of ASD, and weakened tvALFF in dorsal attention network (DAN) of ASD. Besides, ASD showed decreased svALFF in Vis, SVA, and limbic network (Limbic), and increased svALFF in DAN and default mode network (DMN). Elevated tsvALFF was found in the Vis, SMT, and DMN of ASD. More importantly, the altered tsvALFF from the DMN can predict the symptom severity of ASD. These findings demonstrate altered temporospatial dynamics of the spontaneous brain activity in ASD and provide novel insights into the neural mechanism underlying ASD. En ligne : https://doi.org/10.1007/s10803-024-06661-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587

Decreased functional concordance in male children with autism spectrum disorder / Sha WANG ; Zaifa XUE ; Jing LIU ; Xiaoxia NIU ; Le GAO ; Xiaonan GUO in Autism Research, 16-12 (December 2023)  

Public ISBD [article]  inAutism Research > 16-12 (December 2023) . - p.2263-2274 Titre : Decreased functional concordance in male children with autism spectrum disorder Type de document : texte imprimé Auteurs : Sha WANG, Auteur ; Zaifa XUE, Auteur ; Jing LIU, Auteur ; Xiaoxia NIU, Auteur ; Le GAO, Auteur ; Xiaonan GUO, Auteur Article en page(s) : p.2263-2274 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is an early-onset neurodevelopmental condition with altered function of the brain. At present, a variety of functional metrics from neuroimaging techniques have been used to explore ASD neurological mechanisms. However, the concordance of these functional metrics in ASD is still unclear. This study used resting-state functional magnetic resonance imaging data, which were obtained from the open-access Autism Brain Imaging Data Exchange database, including 105 children with ASD and 102 demographically matched typically developing (TD) children. Both voxel-wise and volume-wise functional concordance were calculated by combining the dynamic amplitude of low-frequency fluctuations, dynamic regional homogeneity, and dynamic global signal correlation. Furthermore, a two-sample t-test was performed to compare the functional concordance between ASD and TD groups. Finally, the relationship between voxel-wise functional concordance and Autism Diagnostic Observation Schedule subscores was analyzed using the multivariate support vector regression in the ASD group. Compared with the TD group, we found that ASD showed decreased voxel-wise functional concordance in the left superior temporal pole (STGp), right amygdala, and left opercular part of the inferior frontal gyrus (IFGoper). Moreover, decreased functional concordance was associated with restricted and repetitive behaviors in ASD. Our results found altered brain function in the left STGp, right amygdala, and left IFGoper in ASD by functional concordance, indicating that functional concordance may provide new insights into the neurological mechanisms of ASD. En ligne : https://doi.org/10.1002/aur.3035 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Decreased functional concordance in male children with autism spectrum disorder [texte imprimé] / Sha WANG, Auteur ; Zaifa XUE, Auteur ; Jing LIU, Auteur ; Xiaoxia NIU, Auteur ; Le GAO, Auteur ; Xiaonan GUO, Auteur . - p.2263-2274. in Autism Research > 16-12 (December 2023) . - p.2263-2274 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is an early-onset neurodevelopmental condition with altered function of the brain. At present, a variety of functional metrics from neuroimaging techniques have been used to explore ASD neurological mechanisms. However, the concordance of these functional metrics in ASD is still unclear. This study used resting-state functional magnetic resonance imaging data, which were obtained from the open-access Autism Brain Imaging Data Exchange database, including 105 children with ASD and 102 demographically matched typically developing (TD) children. Both voxel-wise and volume-wise functional concordance were calculated by combining the dynamic amplitude of low-frequency fluctuations, dynamic regional homogeneity, and dynamic global signal correlation. Furthermore, a two-sample t-test was performed to compare the functional concordance between ASD and TD groups. Finally, the relationship between voxel-wise functional concordance and Autism Diagnostic Observation Schedule subscores was analyzed using the multivariate support vector regression in the ASD group. Compared with the TD group, we found that ASD showed decreased voxel-wise functional concordance in the left superior temporal pole (STGp), right amygdala, and left opercular part of the inferior frontal gyrus (IFGoper). Moreover, decreased functional concordance was associated with restricted and repetitive behaviors in ASD. Our results found altered brain function in the left STGp, right amygdala, and left IFGoper in ASD by functional concordance, indicating that functional concordance may provide new insights into the neurological mechanisms of ASD. En ligne : https://doi.org/10.1002/aur.3035 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Genome-wide association study and identification of chromosomal enhancer maps in multiple brain regions related to autism spectrum disorder / Liang ZHANG in Autism Research, 12-1 (January 2019)  

Public ISBD [article]  inAutism Research > 12-1 (January 2019) . - p.26-32 Titre : Genome-wide association study and identification of chromosomal enhancer maps in multiple brain regions related to autism spectrum disorder Type de document : texte imprimé Auteurs : Liang ZHANG, Auteur ; Li LIU, Auteur ; Yan WEN, Auteur ; Mei MA, Auteur ; Shiqiang CHENG, Auteur ; Junhua YANG, Auteur ; Pengli LI, Auteur ; Bastian CHENG, Auteur ; Yanan DU, Auteur ; Xingmei LIANG, Auteur ; Yan ZHAO, Auteur ; Miao DING, Auteur ; Xiaonan GUO, Auteur ; Feng ZHANG, Auteur Année de publication : 2019 Article en page(s) : p.26-32 Langues : Anglais (eng) Mots-clés : autism  biological pathways  brain regions  enhancer Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a complex developmental disorder with strong genetic components involved. Recent studies have demonstrated the importance of non-coding regulatory variants for complex diseases. To explore the roles of chromosomal enhancer regions in the pathogenesis of ASD, we conducted an integrative analysis of genome-wide association study (GWAS) and brain region related enhancer-gene networks for ASD. The GWAS data of ASD were driven from a published study, involving 7,387 ASD cases and 8,567 controls. The enhancer-gene networks of eight brain regions were used here. The GWAS of ASD was first merged respectively with the enhancer datasets of eight brain regions. Pathway enrichment analysis was then performed to detect ASD associated pathways based on the enhancer-related single nucleotide polymorphism (SNPs) of each brain region. We detected multiple genes with brain region specific or common association signals, such as PGM3 (P value = 1.93 x 10(-5) ) and RWDD2A (P value = 1.93 x 10(-5) ) for hippocampus middle, and ENPP4 (all P values <0.05), and ENPP5 (all P values <0.05) for seven brain regions. By comparing the pathway enrichment analysis results of various brain regions, several cross brain regions pathways were detected for ASD, such as REACTOME_POTASSIUM_CHANNELS (all P values <0.05) for six brain regions and KEGG_CELL_ADHESION_MOLECULES_CAMS (all P values <0.05) for seven brain regions. In addition, several pathways were also identified for specific brain regions, such as REACTOME_CD28_DEPENDENT_PI3K_AKT_SIGNALING (P value = 4.00 x 10(-3) ) for angular gyrus, REACTOME_SIGNALING_BY_CONSTITUTIVELY_ACTIVE_EGFR (P value = 2.22 x 10(-3) ) for anterior caudate, and KEGG_PRION_DISEASES (P value = 1.00 x 10(-4) ) for germinal matrix. Our results provide novel clues for understanding the genetic basis of ASD. Autism Research 2019, 12: 26-32. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: ASD is a complex developmental disorder with strong genetic components, but the pathogenesis of ASD is still unclear. Using the latest GWAS data and enhancer map, we explored the brain region related biological pathways associated with ASD. Our results provide novel clues for revealing the functional relevance of enhancer variants with ASD and understanding the genetic basis of ASD. En ligne : http://dx.doi.org/10.1002/aur.2001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=376 [article] Genome-wide association study and identification of chromosomal enhancer maps in multiple brain regions related to autism spectrum disorder [texte imprimé] / Liang ZHANG, Auteur ; Li LIU, Auteur ; Yan WEN, Auteur ; Mei MA, Auteur ; Shiqiang CHENG, Auteur ; Junhua YANG, Auteur ; Pengli LI, Auteur ; Bastian CHENG, Auteur ; Yanan DU, Auteur ; Xingmei LIANG, Auteur ; Yan ZHAO, Auteur ; Miao DING, Auteur ; Xiaonan GUO, Auteur ; Feng ZHANG, Auteur . - 2019 . - p.26-32. Langues : Anglais (eng) in Autism Research > 12-1 (January 2019) . - p.26-32 Mots-clés : autism  biological pathways  brain regions  enhancer Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a complex developmental disorder with strong genetic components involved. Recent studies have demonstrated the importance of non-coding regulatory variants for complex diseases. To explore the roles of chromosomal enhancer regions in the pathogenesis of ASD, we conducted an integrative analysis of genome-wide association study (GWAS) and brain region related enhancer-gene networks for ASD. The GWAS data of ASD were driven from a published study, involving 7,387 ASD cases and 8,567 controls. The enhancer-gene networks of eight brain regions were used here. The GWAS of ASD was first merged respectively with the enhancer datasets of eight brain regions. Pathway enrichment analysis was then performed to detect ASD associated pathways based on the enhancer-related single nucleotide polymorphism (SNPs) of each brain region. We detected multiple genes with brain region specific or common association signals, such as PGM3 (P value = 1.93 x 10(-5) ) and RWDD2A (P value = 1.93 x 10(-5) ) for hippocampus middle, and ENPP4 (all P values <0.05), and ENPP5 (all P values <0.05) for seven brain regions. By comparing the pathway enrichment analysis results of various brain regions, several cross brain regions pathways were detected for ASD, such as REACTOME_POTASSIUM_CHANNELS (all P values <0.05) for six brain regions and KEGG_CELL_ADHESION_MOLECULES_CAMS (all P values <0.05) for seven brain regions. In addition, several pathways were also identified for specific brain regions, such as REACTOME_CD28_DEPENDENT_PI3K_AKT_SIGNALING (P value = 4.00 x 10(-3) ) for angular gyrus, REACTOME_SIGNALING_BY_CONSTITUTIVELY_ACTIVE_EGFR (P value = 2.22 x 10(-3) ) for anterior caudate, and KEGG_PRION_DISEASES (P value = 1.00 x 10(-4) ) for germinal matrix. Our results provide novel clues for understanding the genetic basis of ASD. Autism Research 2019, 12: 26-32. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: ASD is a complex developmental disorder with strong genetic components, but the pathogenesis of ASD is still unclear. Using the latest GWAS data and enhancer map, we explored the brain region related biological pathways associated with ASD. Our results provide novel clues for revealing the functional relevance of enhancer variants with ASD and understanding the genetic basis of ASD. En ligne : http://dx.doi.org/10.1002/aur.2001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=376

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder / Xiaonan GUO in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 52 p. Titre : Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder Type de document : texte imprimé Auteurs : Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur Article en page(s) : 52 p. Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder [texte imprimé] / Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur . - 52 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 52 p. Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Sex Differences in Spatiotemporal Consistency and Effective Connectivity of the Precuneus in Autism Spectrum Disorder / Le GAO in Journal of Autism and Developmental Disorders, 56-5 (May 2026)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 56-5 (May 2026) . - p.1952-1965 Titre : Sex Differences in Spatiotemporal Consistency and Effective Connectivity of the Precuneus in Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Le GAO, Auteur ; Tengda ZHANG, Auteur ; Yigeng ZHANG, Auteur ; Junfeng LIU, Auteur ; Xiaonan GUO, Auteur Article en page(s) : p.1952-1965 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) has been reported to exhibit altered local functional consistency. However, previous studies mainly focused on male samples and explored the temporal consistency in the ASD brain ignoring the spatial consistency. In this study, FOur-dimensional Consistency of local neural Activities (FOCA) analysis was used to investigate the sex differences of local spatiotemporal consistency of spontaneous brain activity in ASD. This study used resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database, including 64 males/64 females with ASD and 64 male/64 female neurotypical controls (NCs). Two-way analysis of variance was performed to ascertain diagnosis-by-sex interaction effects on whole brain FOCA maps. Moreover, granger causal analysis was used to investigate effective connectivity between the brain regions with interaction effects and the whole-brain in ASD. Significant diagnosis-by-sex interaction effects on FOCA were observed in the bilateral precuneus (PCUN), bilateral medial prefrontal cortex and right dorsolateral superior frontal gyrus. Specifically, FOCA was significantly increased in males with ASD but decreased in females with ASD in the PCUN compared with the sex-matched NC group. In addition, the lack of sex differences in the causal influences from the bilateral anterior cingulate cortex/medial prefrontal cortex to the PCUN was observed in ASD. Our results reveal altered sex differences in the spatiotemporal consistency of spontaneous brain activity and functional interaction of the anterior and posterior default mode network (DMN) in ASD, highlighting the critical role of the DMN in the sex heterogeneity of ASD. En ligne : https://doi.org/10.1007/s10803-024-06696-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587 [article] Sex Differences in Spatiotemporal Consistency and Effective Connectivity of the Precuneus in Autism Spectrum Disorder [texte imprimé] / Le GAO, Auteur ; Tengda ZHANG, Auteur ; Yigeng ZHANG, Auteur ; Junfeng LIU, Auteur ; Xiaonan GUO, Auteur . - p.1952-1965. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 56-5 (May 2026) . - p.1952-1965 Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) has been reported to exhibit altered local functional consistency. However, previous studies mainly focused on male samples and explored the temporal consistency in the ASD brain ignoring the spatial consistency. In this study, FOur-dimensional Consistency of local neural Activities (FOCA) analysis was used to investigate the sex differences of local spatiotemporal consistency of spontaneous brain activity in ASD. This study used resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database, including 64 males/64 females with ASD and 64 male/64 female neurotypical controls (NCs). Two-way analysis of variance was performed to ascertain diagnosis-by-sex interaction effects on whole brain FOCA maps. Moreover, granger causal analysis was used to investigate effective connectivity between the brain regions with interaction effects and the whole-brain in ASD. Significant diagnosis-by-sex interaction effects on FOCA were observed in the bilateral precuneus (PCUN), bilateral medial prefrontal cortex and right dorsolateral superior frontal gyrus. Specifically, FOCA was significantly increased in males with ASD but decreased in females with ASD in the PCUN compared with the sex-matched NC group. In addition, the lack of sex differences in the causal influences from the bilateral anterior cingulate cortex/medial prefrontal cortex to the PCUN was observed in ASD. Our results reveal altered sex differences in the spatiotemporal consistency of spontaneous brain activity and functional interaction of the anterior and posterior default mode network (DMN) in ASD, highlighting the critical role of the DMN in the sex heterogeneity of ASD. En ligne : https://doi.org/10.1007/s10803-024-06696-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=587

Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder / Qi DONG ; Le GAO ; Zaifa XUE ; Xiaoxia NIU ; Rongjuan ZHOU ; Xiaonan GUO in Autism Research, 17-9 (September 2024)  

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Shared atypical default mode and salience network functional connectivity between autism and schizophrenia / Heng CHEN in Autism Research, 10-11 (November 2017)  

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