
- <Centre d'Information et de documentation du CRA Rhône-Alpes
- CRA
- Informations pratiques
-
Adresse
Centre d'information et de documentation
Horaires
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexLundi au Vendredi
Contact
9h00-12h00 13h30-16h00Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Adresse
Résultat de la recherche
4 recherche sur le mot-clé 'resting-state functional magnetic resonance imaging'




Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation / T. YAMADA in Molecular Autism, 7 (2016)
![]()
[article]
Titre : Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation Type de document : Texte imprimé et/ou numérique Auteurs : T. YAMADA, Auteur ; T. ITAHASHI, Auteur ; M. NAKAMURA, Auteur ; H. WATANABE, Auteur ; M. KURODA, Auteur ; H. OHTA, Auteur ; C. KANAI, Auteur ; N. KATO, Auteur ; R. I. HASHIMOTO, Auteur Article en page(s) : 41p. Langues : Anglais (eng) Mots-clés : Adult Autism Spectrum Disorder/diagnostic imaging/pathology/physiopathology Brain Mapping/methods Case-Control Studies Cerebral Cortex/diagnostic imaging/pathology/physiopathology Cluster Analysis Functional Laterality Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Nerve Net/diagnostic imaging/pathology/physiopathology Neural Pathways/diagnostic imaging/pathology/physiopathology Autism spectrum disorder Connectivity-based functional parcellation Insula Resting-state functional magnetic resonance imaging Index. décimale : PER Périodiques Résumé : BACKGROUND: The insular cortex comprises multiple functionally differentiated sub-regions, each of which has different patterns of connectivity with other brain regions. Such diverse connectivity patterns are thought to underlie a wide range of insular functions, including cognitive, affective, and sensorimotor processing, many of which are abnormal in autism spectrum disorder (ASD). Although past neuroimaging studies of ASD have shown structural and functional abnormalities in the insula, possible alterations in the sub-regional organization of the insula and the functional characteristics of each sub-region have not been examined in the ASD brain. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 36 adult males with ASD and 38 matched typically developed (TD) controls. A data-driven clustering analysis was applied to rs-fMRI data of voxels in the left and right insula to automatically group voxels with similar intrinsic connectivity pattern into a cluster. After determining the optimal number of clusters based on information theoretic measures of variation of information and mutual information, functional parcellation patterns in both the left and the right insula were compared between the TD and ASD groups. Furthermore, functional profiles of each sub-region were meta-analytically decoded using Neurosynth and were compared between the groups. RESULTS: We observed notable alterations in the anterior sector of the left insula and the middle ventral sub-region of the right insula in the ASD brain. Meta-analytic decoding revealed that whereas the anterior sector of the left insula contained two functionally differentiated sub-regions for cognitive, sensorimotor, and emotional/affective functions in TD brain, only a single functional cluster for cognitive and sensorimotor functions was identified in the anterior sector in the ASD brain. In the right insula, the middle ventral sub-region, which is primarily specialized for sensory- and auditory-related functions, showed a significant volumetric increase in the ASD brain compared with the TD brain. CONCLUSIONS: The results indicate an altered organization of sub-regions in specific parts of the left and right insula of the ASD brain. The alterations in the left and right insula may constitute neural substrates underlying abnormalities in emotional/affective and sensory functions in ASD. En ligne : http://dx.doi.org/10.1186/s13229-016-0106-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329
in Molecular Autism > 7 (2016) . - 41p.[article] Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation [Texte imprimé et/ou numérique] / T. YAMADA, Auteur ; T. ITAHASHI, Auteur ; M. NAKAMURA, Auteur ; H. WATANABE, Auteur ; M. KURODA, Auteur ; H. OHTA, Auteur ; C. KANAI, Auteur ; N. KATO, Auteur ; R. I. HASHIMOTO, Auteur . - 41p.
Langues : Anglais (eng)
in Molecular Autism > 7 (2016) . - 41p.
Mots-clés : Adult Autism Spectrum Disorder/diagnostic imaging/pathology/physiopathology Brain Mapping/methods Case-Control Studies Cerebral Cortex/diagnostic imaging/pathology/physiopathology Cluster Analysis Functional Laterality Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Nerve Net/diagnostic imaging/pathology/physiopathology Neural Pathways/diagnostic imaging/pathology/physiopathology Autism spectrum disorder Connectivity-based functional parcellation Insula Resting-state functional magnetic resonance imaging Index. décimale : PER Périodiques Résumé : BACKGROUND: The insular cortex comprises multiple functionally differentiated sub-regions, each of which has different patterns of connectivity with other brain regions. Such diverse connectivity patterns are thought to underlie a wide range of insular functions, including cognitive, affective, and sensorimotor processing, many of which are abnormal in autism spectrum disorder (ASD). Although past neuroimaging studies of ASD have shown structural and functional abnormalities in the insula, possible alterations in the sub-regional organization of the insula and the functional characteristics of each sub-region have not been examined in the ASD brain. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 36 adult males with ASD and 38 matched typically developed (TD) controls. A data-driven clustering analysis was applied to rs-fMRI data of voxels in the left and right insula to automatically group voxels with similar intrinsic connectivity pattern into a cluster. After determining the optimal number of clusters based on information theoretic measures of variation of information and mutual information, functional parcellation patterns in both the left and the right insula were compared between the TD and ASD groups. Furthermore, functional profiles of each sub-region were meta-analytically decoded using Neurosynth and were compared between the groups. RESULTS: We observed notable alterations in the anterior sector of the left insula and the middle ventral sub-region of the right insula in the ASD brain. Meta-analytic decoding revealed that whereas the anterior sector of the left insula contained two functionally differentiated sub-regions for cognitive, sensorimotor, and emotional/affective functions in TD brain, only a single functional cluster for cognitive and sensorimotor functions was identified in the anterior sector in the ASD brain. In the right insula, the middle ventral sub-region, which is primarily specialized for sensory- and auditory-related functions, showed a significant volumetric increase in the ASD brain compared with the TD brain. CONCLUSIONS: The results indicate an altered organization of sub-regions in specific parts of the left and right insula of the ASD brain. The alterations in the left and right insula may constitute neural substrates underlying abnormalities in emotional/affective and sensory functions in ASD. En ligne : http://dx.doi.org/10.1186/s13229-016-0106-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 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)
![]()
[article]
Titre : Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Qi DONG, Auteur ; Le GAO, Auteur ; Zaifa XUE, Auteur ; Xiaoxia NIU, Auteur ; Rongjuan ZHOU, Auteur ; Xiaonan GUO, Auteur Article en page(s) : p.1796-1809 Langues : Anglais (eng) Mots-clés : autism spectrum disorder dynamic amplitude of low-frequency fluctuation dynamic functional connectivity resting-state functional magnetic resonance imaging sex heterogeneity Index. décimale : PER Périodiques Résumé : Abstract Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were analyzed in 128 ASD subjects (64 males/64 females) and 128 typically developing control (TC) subjects (64 males/64 females). A sliding-window approach was adopted for the estimation of dynamic amplitude of low-frequency fluctuation (dALFF) and dynamic functional connectivity (dFC) to characterize time-varying brain activity and functional connectivity respectively. We then examined the sex-related changes in ASD using two-way analysis of variance. Significant diagnosis-by-sex interaction effects were identified in the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and left precuneus in the dALFF analysis. Furthermore, there were significant diagnosis-by-sex interaction effects of dFC variance between the left ACC/mPFC and right ACC, left postcentral gyrus, left precuneus, right middle temporal gyrus and left inferior frontal gyrus, triangular part. These findings reveal the sex heterogeneity in brain activity and functional connectivity in ASD from a dynamic perspective, and provide new evidence for further exploring sex heterogeneity in ASD. En ligne : https://doi.org/10.1002/aur.3227 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=535
in Autism Research > 17-9 (September 2024) . - p.1796-1809[article] Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder [Texte imprimé et/ou numérique] / Qi DONG, Auteur ; Le GAO, Auteur ; Zaifa XUE, Auteur ; Xiaoxia NIU, Auteur ; Rongjuan ZHOU, Auteur ; Xiaonan GUO, Auteur . - p.1796-1809.
Langues : Anglais (eng)
in Autism Research > 17-9 (September 2024) . - p.1796-1809
Mots-clés : autism spectrum disorder dynamic amplitude of low-frequency fluctuation dynamic functional connectivity resting-state functional magnetic resonance imaging sex heterogeneity Index. décimale : PER Périodiques Résumé : Abstract Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were analyzed in 128 ASD subjects (64 males/64 females) and 128 typically developing control (TC) subjects (64 males/64 females). A sliding-window approach was adopted for the estimation of dynamic amplitude of low-frequency fluctuation (dALFF) and dynamic functional connectivity (dFC) to characterize time-varying brain activity and functional connectivity respectively. We then examined the sex-related changes in ASD using two-way analysis of variance. Significant diagnosis-by-sex interaction effects were identified in the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and left precuneus in the dALFF analysis. Furthermore, there were significant diagnosis-by-sex interaction effects of dFC variance between the left ACC/mPFC and right ACC, left postcentral gyrus, left precuneus, right middle temporal gyrus and left inferior frontal gyrus, triangular part. These findings reveal the sex heterogeneity in brain activity and functional connectivity in ASD from a dynamic perspective, and provide new evidence for further exploring sex heterogeneity in ASD. En ligne : https://doi.org/10.1002/aur.3227 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=535 The language network in autism: Atypical functional connectivity with default mode and visual regions / Y. GAO in Autism Research, 12-9 (September 2019)
![]()
[article]
Titre : The language network in autism: Atypical functional connectivity with default mode and visual regions Type de document : Texte imprimé et/ou numérique Auteurs : Y. GAO, Auteur ; A. LINKE, Auteur ; R. J. JAO KEEHN, Auteur ; S. PUNYAMURTHULA, Auteur ; A. JAHEDI, Auteur ; K. GATES, Auteur ; I. FISHMAN, Auteur ; R. A. MULLER, Auteur Article en page(s) : p.1344-1355 Langues : Anglais (eng) Mots-clés : autism spectrum disorders default mode language resting-state functional magnetic resonance imaging visual cortex Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASDs) are neurodevelopmental disorders associated with atypical brain connectivity. Although language abilities vary widely, they are impaired or atypical in most children with ASDs. Underlying brain mechanisms, however, are not fully understood. The present study examined intrinsic functional connectivity (iFC) of the extended language network in a cohort of 52 children and adolescents with ASDs (ages 8-18 years), using resting-state functional magnetic resonance imaging. We found that, in comparison to typically developing peers (n = 50), children with ASDs showed increased connectivity between some language regions. In addition, seed-to-whole brain analyses revealed increased connectivity of language regions with posterior cingulate cortex (PCC) and visual regions in the ASD group. Post hoc effective connectivity analyses revealed a mediation effect of PCC on the iFC between bilateral inferior frontal and visual regions in an ASD subgroup. This finding qualifies and expands on previous reports of recruitment of visual areas in language processing in ASDs. In addition, increased iFC between PCC and visual regions was linked to lower language scores in this ASD subgroup, suggesting that increased connectivity with visual cortices, mediated by default mode regions, may be detrimental to language abilities. Autism Res 2019, 12: 1344-1355. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined the functional connectivity between regions of the language network in children with autism spectrum disorders (ASDs) compared to typically developing peers. We found connectivity to be intact between core language in the ASD group, but also showed abnormally increased connectivity between regions of an extended language network. Additionally, connectivity was increased with regions associated with brain networks responsible for self-reflection and visual processing. En ligne : http://dx.doi.org/10.1002/aur.2171 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=406
in Autism Research > 12-9 (September 2019) . - p.1344-1355[article] The language network in autism: Atypical functional connectivity with default mode and visual regions [Texte imprimé et/ou numérique] / Y. GAO, Auteur ; A. LINKE, Auteur ; R. J. JAO KEEHN, Auteur ; S. PUNYAMURTHULA, Auteur ; A. JAHEDI, Auteur ; K. GATES, Auteur ; I. FISHMAN, Auteur ; R. A. MULLER, Auteur . - p.1344-1355.
Langues : Anglais (eng)
in Autism Research > 12-9 (September 2019) . - p.1344-1355
Mots-clés : autism spectrum disorders default mode language resting-state functional magnetic resonance imaging visual cortex Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASDs) are neurodevelopmental disorders associated with atypical brain connectivity. Although language abilities vary widely, they are impaired or atypical in most children with ASDs. Underlying brain mechanisms, however, are not fully understood. The present study examined intrinsic functional connectivity (iFC) of the extended language network in a cohort of 52 children and adolescents with ASDs (ages 8-18 years), using resting-state functional magnetic resonance imaging. We found that, in comparison to typically developing peers (n = 50), children with ASDs showed increased connectivity between some language regions. In addition, seed-to-whole brain analyses revealed increased connectivity of language regions with posterior cingulate cortex (PCC) and visual regions in the ASD group. Post hoc effective connectivity analyses revealed a mediation effect of PCC on the iFC between bilateral inferior frontal and visual regions in an ASD subgroup. This finding qualifies and expands on previous reports of recruitment of visual areas in language processing in ASDs. In addition, increased iFC between PCC and visual regions was linked to lower language scores in this ASD subgroup, suggesting that increased connectivity with visual cortices, mediated by default mode regions, may be detrimental to language abilities. Autism Res 2019, 12: 1344-1355. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined the functional connectivity between regions of the language network in children with autism spectrum disorders (ASDs) compared to typically developing peers. We found connectivity to be intact between core language in the ASD group, but also showed abnormally increased connectivity between regions of an extended language network. Additionally, connectivity was increased with regions associated with brain networks responsible for self-reflection and visual processing. En ligne : http://dx.doi.org/10.1002/aur.2171 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=406 Multimodal brain imaging in autism spectrum disorder and the promise of twin research / Katell MEVEL in Autism, 19-5 (July 2015)
![]()
[article]
Titre : Multimodal brain imaging in autism spectrum disorder and the promise of twin research Type de document : Texte imprimé et/ou numérique Auteurs : Katell MEVEL, Auteur ; Peter FRANSSON, Auteur ; Sven BÖLTE, Auteur Article en page(s) : p.527-541 Langues : Anglais (eng) Mots-clés : autism connectome diffusion tensor imaging monozygotic twins neurodevelopmental disorders resting-state functional magnetic resonance imaging review Index. décimale : PER Périodiques Résumé : Current evidence suggests the phenotype of autism spectrum disorder to be driven by a complex interaction of genetic and environmental factors impacting onto brain maturation, synaptic function, and cortical networks. However, findings are heterogeneous, and the exact neurobiological pathways of autism spectrum disorder still remain poorly understood. The co-twin control or twin-difference design is a potentially powerful tool to disentangle causal genetic and environmental contributions on neurodevelopment in autism spectrum disorder. To this end, monozygotic twins discordant for this condition provide unique means for the maximum control of potentially confounding factors. Unfortunately, only few studies of a rather narrow scope, and limited sample size, have been conducted. In an attempt to highlight the great potential of combining the brain connectome approach with monozygotic twin design, we first give an overview of the existing neurobiological evidence for autism spectrum disorder and its cognitive correlates. Then, a special focus is made onto the brain imaging findings reported within populations of monozygotic twins phenotypically discordant for autism spectrum disorder. Finally, we introduce the brain connectome model and describe an ongoing project using this approach among the largest cohort of monozygotic twins discordant for autism spectrum disorder ever recruited. En ligne : http://dx.doi.org/10.1177/1362361314535510 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261
in Autism > 19-5 (July 2015) . - p.527-541[article] Multimodal brain imaging in autism spectrum disorder and the promise of twin research [Texte imprimé et/ou numérique] / Katell MEVEL, Auteur ; Peter FRANSSON, Auteur ; Sven BÖLTE, Auteur . - p.527-541.
Langues : Anglais (eng)
in Autism > 19-5 (July 2015) . - p.527-541
Mots-clés : autism connectome diffusion tensor imaging monozygotic twins neurodevelopmental disorders resting-state functional magnetic resonance imaging review Index. décimale : PER Périodiques Résumé : Current evidence suggests the phenotype of autism spectrum disorder to be driven by a complex interaction of genetic and environmental factors impacting onto brain maturation, synaptic function, and cortical networks. However, findings are heterogeneous, and the exact neurobiological pathways of autism spectrum disorder still remain poorly understood. The co-twin control or twin-difference design is a potentially powerful tool to disentangle causal genetic and environmental contributions on neurodevelopment in autism spectrum disorder. To this end, monozygotic twins discordant for this condition provide unique means for the maximum control of potentially confounding factors. Unfortunately, only few studies of a rather narrow scope, and limited sample size, have been conducted. In an attempt to highlight the great potential of combining the brain connectome approach with monozygotic twin design, we first give an overview of the existing neurobiological evidence for autism spectrum disorder and its cognitive correlates. Then, a special focus is made onto the brain imaging findings reported within populations of monozygotic twins phenotypically discordant for autism spectrum disorder. Finally, we introduce the brain connectome model and describe an ongoing project using this approach among the largest cohort of monozygotic twins discordant for autism spectrum disorder ever recruited. En ligne : http://dx.doi.org/10.1177/1362361314535510 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261