43 recherche sur le mot-clé 'Brain/diagnostic imaging'

Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain / Yating MING ; Weixing ZHAO ; Rui FENG ; Yuanyue ZHOU ; Lijie WU ; Jia WANG ; Jinming XIAO ; Lei LI ; Xiaolong SHAN ; Jing CAO ; Xiaodong KANG ; Huafu CHEN ; Xujun DUAN in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 41 p. Titre : Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain Type de document : Texte imprimé et/ou numérique Auteurs : Yating MING, Auteur ; Weixing ZHAO, Auteur ; Rui FENG, Auteur ; Yuanyue ZHOU, Auteur ; Lijie WU, Auteur ; Jia WANG, Auteur ; Jinming XIAO, Auteur ; Lei LI, Auteur ; Xiaolong SHAN, Auteur ; Jing CAO, Auteur ; Xiaodong KANG, Auteur ; Huafu CHEN, Auteur ; Xujun DUAN, Auteur Article en page(s) : 41 p. Langues : Anglais (eng) Mots-clés : Child  Humans  Child, Preschool  Diffusion Tensor Imaging/methods  *Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  *White Matter/diagnostic imaging  Cluster Analysis Index. décimale : PER Périodiques Résumé : OBJECTIVE: There has been increasing evidence for atypical white matter (WM) microstructure in autistic people, but findings have been divergent. The development of autistic people in early childhood is clouded by the concurrently rapid brain growth, which might lead to the inconsistent findings of atypical WM microstructure in autism. Here, we aimed to reveal the developmental nature of autistic children and delineate atypical WM microstructure throughout early childhood while taking developmental considerations into account. METHOD: In this study, diffusion tensor imaging was acquired from two independent cohorts, containing 91 autistic children and 100 typically developing children (TDC), aged 4-7 years. Developmental prediction modeling using support vector regression based on TDC participants was conducted to estimate the WM atypical development index of autistic children. Then, subgroups of autistic children were identified by using the k-means clustering method and were compared to each other on the basis of demographic information, WM atypical development index, and autistic trait by using two-sample t-test. Relationship of the WM atypical development index with age was estimated by using partial correlation. Furthermore, we performed threshold-free cluster enhancement-based two-sample t-test for the group comparison in WM microstructures of each subgroup of autistic children with the rematched subsets of TDC. RESULTS: We clustered autistic children into two subgroups according to WM atypical development index. The two subgroups exhibited distinct developmental stages and age-dependent diversity. WM atypical development index was found negatively associated with age. Moreover, an inverse pattern of atypical WM microstructures and different clinical manifestations in the two stages, with subgroup 1 showing overgrowth with low level of autistic traits and subgroup 2 exhibiting delayed maturation with high level of autistic traits, were revealed. CONCLUSION: This study illustrated age-dependent heterogeneity in early childhood autistic children and delineated developmental stage-specific difference that ranged from an overgrowth pattern to a delayed pattern. Trial registration This study has been registered at ClinicalTrials.gov (Identifier: NCT02807766) on June 21, 2016 ( https://clinicaltrials.gov/ct2/show/NCT02807766 ). En ligne : https://dx.doi.org/10.1186/s13229-023-00573-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain [Texte imprimé et/ou numérique] / Yating MING, Auteur ; Weixing ZHAO, Auteur ; Rui FENG, Auteur ; Yuanyue ZHOU, Auteur ; Lijie WU, Auteur ; Jia WANG, Auteur ; Jinming XIAO, Auteur ; Lei LI, Auteur ; Xiaolong SHAN, Auteur ; Jing CAO, Auteur ; Xiaodong KANG, Auteur ; Huafu CHEN, Auteur ; Xujun DUAN, Auteur . - 41 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 41 p. Mots-clés : Child  Humans  Child, Preschool  Diffusion Tensor Imaging/methods  *Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  *White Matter/diagnostic imaging  Cluster Analysis Index. décimale : PER Périodiques Résumé : OBJECTIVE: There has been increasing evidence for atypical white matter (WM) microstructure in autistic people, but findings have been divergent. The development of autistic people in early childhood is clouded by the concurrently rapid brain growth, which might lead to the inconsistent findings of atypical WM microstructure in autism. Here, we aimed to reveal the developmental nature of autistic children and delineate atypical WM microstructure throughout early childhood while taking developmental considerations into account. METHOD: In this study, diffusion tensor imaging was acquired from two independent cohorts, containing 91 autistic children and 100 typically developing children (TDC), aged 4-7 years. Developmental prediction modeling using support vector regression based on TDC participants was conducted to estimate the WM atypical development index of autistic children. Then, subgroups of autistic children were identified by using the k-means clustering method and were compared to each other on the basis of demographic information, WM atypical development index, and autistic trait by using two-sample t-test. Relationship of the WM atypical development index with age was estimated by using partial correlation. Furthermore, we performed threshold-free cluster enhancement-based two-sample t-test for the group comparison in WM microstructures of each subgroup of autistic children with the rematched subsets of TDC. RESULTS: We clustered autistic children into two subgroups according to WM atypical development index. The two subgroups exhibited distinct developmental stages and age-dependent diversity. WM atypical development index was found negatively associated with age. Moreover, an inverse pattern of atypical WM microstructures and different clinical manifestations in the two stages, with subgroup 1 showing overgrowth with low level of autistic traits and subgroup 2 exhibiting delayed maturation with high level of autistic traits, were revealed. CONCLUSION: This study illustrated age-dependent heterogeneity in early childhood autistic children and delineated developmental stage-specific difference that ranged from an overgrowth pattern to a delayed pattern. Trial registration This study has been registered at ClinicalTrials.gov (Identifier: NCT02807766) on June 21, 2016 ( https://clinicaltrials.gov/ct2/show/NCT02807766 ). En ligne : https://dx.doi.org/10.1186/s13229-023-00573-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism / B. DIREITO in Autism, 25-6 (August 2021)  

Public ISBD [article]  inAutism > 25-6 (August 2021) . - p.1746-1760 Titre : Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism Type de document : Texte imprimé et/ou numérique Auteurs : B. DIREITO, Auteur ; S. MOUGA, Auteur ; A. SAYAL, Auteur ; M. SIMÕES, Auteur ; H. QUENTAL, Auteur ; I. BERNARDINO, Auteur ; R. PLAYLE, Auteur ; R. MCNAMARA, Auteur ; D. E. LINDEN, Auteur ; G. OLIVEIRA, Auteur ; Miguel CASTELO-BRANCO, Auteur Article en page(s) : p.1746-1760 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging/therapy  Autistic Disorder/diagnostic imaging/therapy  Brain/diagnostic imaging  Humans  Magnetic Resonance Imaging  Neurofeedback  autism spectrum disorder  neurorehabilitation  posterior superior temporal sulcus  real-time functional magnetic resonance imaging  social cognition Index. décimale : PER Périodiques Résumé : Neurofeedback is an emerging therapeutic approach in neuropsychiatric disorders. Its potential application in autism spectrum disorder remains to be tested. Here, we demonstrate the feasibility of real-time functional magnetic resonance imaging volitional neurofeedback in targeting social brain regions in autism spectrum disorder. In this clinical trial, autism spectrum disorder patients were enrolled in a program with five training sessions of neurofeedback. Participants were able to control their own brain activity in this social brain region, with positive clinical and neural effects. Larger, controlled, and blinded clinical studies will be required to confirm the benefits. En ligne : http://dx.doi.org/10.1177/13623613211002052 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=451 [article] Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism [Texte imprimé et/ou numérique] / B. DIREITO, Auteur ; S. MOUGA, Auteur ; A. SAYAL, Auteur ; M. SIMÕES, Auteur ; H. QUENTAL, Auteur ; I. BERNARDINO, Auteur ; R. PLAYLE, Auteur ; R. MCNAMARA, Auteur ; D. E. LINDEN, Auteur ; G. OLIVEIRA, Auteur ; Miguel CASTELO-BRANCO, Auteur . - p.1746-1760. Langues : Anglais (eng) in Autism > 25-6 (August 2021) . - p.1746-1760 Mots-clés : Autism Spectrum Disorder/diagnostic imaging/therapy  Autistic Disorder/diagnostic imaging/therapy  Brain/diagnostic imaging  Humans  Magnetic Resonance Imaging  Neurofeedback  autism spectrum disorder  neurorehabilitation  posterior superior temporal sulcus  real-time functional magnetic resonance imaging  social cognition Index. décimale : PER Périodiques Résumé : Neurofeedback is an emerging therapeutic approach in neuropsychiatric disorders. Its potential application in autism spectrum disorder remains to be tested. Here, we demonstrate the feasibility of real-time functional magnetic resonance imaging volitional neurofeedback in targeting social brain regions in autism spectrum disorder. In this clinical trial, autism spectrum disorder patients were enrolled in a program with five training sessions of neurofeedback. Participants were able to control their own brain activity in this social brain region, with positive clinical and neural effects. Larger, controlled, and blinded clinical studies will be required to confirm the benefits. En ligne : http://dx.doi.org/10.1177/13623613211002052 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=451

Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism / Bruno DIREITO in Autism, 26-6 (August 2022)  

Public ISBD [article]  inAutism > 26-6 (August 2022) . - p.1746-1760 Titre : Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism Type de document : Texte imprimé et/ou numérique Auteurs : Bruno DIREITO, Auteur ; Susana MOUGA, Auteur ; Alexandre SAYAL, Auteur ; Marco SIMOES, Auteur ; Hugo QUENTAL, Auteur ; Inês BERNARDINO, Auteur ; Rebecca PLAYLE, Auteur ; Rachel MCNAMARA, Auteur ; David Ej LINDEN, Auteur ; Guiomar OLIVEIRA, Auteur ; Miguel CASTELO BRANCO, Auteur Article en page(s) : p.1746-1760 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging/therapy  Autistic Disorder/diagnostic imaging/therapy  Brain/diagnostic imaging  Humans  Magnetic Resonance Imaging  Neurofeedback  autism spectrum disorder  neurofeedback  neurorehabilitation  posterior superior temporal sulcus  real-time functional magnetic resonance imaging  social cognition Index. décimale : PER Périodiques Résumé : Neurofeedback is an emerging therapeutic approach in neuropsychiatric disorders. Its potential application in autism spectrum disorder remains to be tested. Here, we demonstrate the feasibility of real-time functional magnetic resonance imaging volitional neurofeedback in targeting social brain regions in autism spectrum disorder. In this clinical trial, autism spectrum disorder patients were enrolled in a program with five training sessions of neurofeedback. Participants were able to control their own brain activity in this social brain region, with positive clinical and neural effects. Larger, controlled, and blinded clinical studies will be required to confirm the benefits. En ligne : http://dx.doi.org/10.1177/13623613211002052 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484 [article] Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism [Texte imprimé et/ou numérique] / Bruno DIREITO, Auteur ; Susana MOUGA, Auteur ; Alexandre SAYAL, Auteur ; Marco SIMOES, Auteur ; Hugo QUENTAL, Auteur ; Inês BERNARDINO, Auteur ; Rebecca PLAYLE, Auteur ; Rachel MCNAMARA, Auteur ; David Ej LINDEN, Auteur ; Guiomar OLIVEIRA, Auteur ; Miguel CASTELO BRANCO, Auteur . - p.1746-1760. Langues : Anglais (eng) in Autism > 26-6 (August 2022) . - p.1746-1760 Mots-clés : Autism Spectrum Disorder/diagnostic imaging/therapy  Autistic Disorder/diagnostic imaging/therapy  Brain/diagnostic imaging  Humans  Magnetic Resonance Imaging  Neurofeedback  autism spectrum disorder  neurofeedback  neurorehabilitation  posterior superior temporal sulcus  real-time functional magnetic resonance imaging  social cognition Index. décimale : PER Périodiques Résumé : Neurofeedback is an emerging therapeutic approach in neuropsychiatric disorders. Its potential application in autism spectrum disorder remains to be tested. Here, we demonstrate the feasibility of real-time functional magnetic resonance imaging volitional neurofeedback in targeting social brain regions in autism spectrum disorder. In this clinical trial, autism spectrum disorder patients were enrolled in a program with five training sessions of neurofeedback. Participants were able to control their own brain activity in this social brain region, with positive clinical and neural effects. Larger, controlled, and blinded clinical studies will be required to confirm the benefits. En ligne : http://dx.doi.org/10.1177/13623613211002052 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484

Associations of perceived adverse lifetime experiences with brain structure in UK Biobank participants / D. A. GHEORGHE in Journal of Child Psychology and Psychiatry, 62-7 (July 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.822-830 Titre : Associations of perceived adverse lifetime experiences with brain structure in UK Biobank participants Type de document : Texte imprimé et/ou numérique Auteurs : D. A. GHEORGHE, Auteur ; C. LI, Auteur ; J. GALLACHER, Auteur ; S. BAUERMEISTER, Auteur Article en page(s) : p.822-830 Langues : Anglais (eng) Mots-clés : Adverse Childhood Experiences  Aged  Aged, 80 and over  Biological Specimen Banks  Brain/diagnostic imaging  Humans  Middle Aged  Retrospective Studies  Spouse Abuse  United Kingdom/epidemiology  Brain imaging  adversity  early life experience  large data Index. décimale : PER Périodiques Résumé : BACKGROUND: Adversity experiences (AEs) are major risk factors for psychiatric illness, and ample evidence suggests that adversity-related changes in brain structure enhance this vulnerability. To achieve greater understanding of the underlying biological pathways, increased convergence among findings is needed. Suggested future directions may benefit from the use of large population samples which may contribute to achieving this goal. We addressed mechanistic pathways by investigating the associations between multiple brain phenotypes and retrospectively reported AEs in early life (child adversity) and adulthood (partner abuse) in a large population sample, using a cross-sectional approach. METHODS: The UK Biobank resource was used to access imaging-derived phenotypes (IDPs) from 6,751 participants (aged: M = 62.1, SD = 7.2, range = 45-80), together with selected reports of childhood AEs and adult partner abuse. Principal component analysis was used to reduce the dimensionality of the data prior to multivariate tests. RESULTS: The data showed that participants who reported experiences of childhood emotional abuse ('felt hated by family member as a child') had smaller cerebellar and ventral striatum volumes. This result was also depicted in a random subset of participants; however, we note small effect sizes ( ?p2 ( ) < .01), suggestive of modest biological changes. CONCLUSIONS: Using a large population cohort, this study demonstrates the value of big datasets in the study of adversity and using automatically preprocessed neuroimaging phenotypes. While retrospective and cross-sectional characteristics limit interpretation, this study demonstrates that self-perceived adversity reports, however nonspecific, may still expose neural consequences, identifiable with increased statistical power. En ligne : http://dx.doi.org/10.1111/jcpp.13298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Associations of perceived adverse lifetime experiences with brain structure in UK Biobank participants [Texte imprimé et/ou numérique] / D. A. GHEORGHE, Auteur ; C. LI, Auteur ; J. GALLACHER, Auteur ; S. BAUERMEISTER, Auteur . - p.822-830. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.822-830 Mots-clés : Adverse Childhood Experiences  Aged  Aged, 80 and over  Biological Specimen Banks  Brain/diagnostic imaging  Humans  Middle Aged  Retrospective Studies  Spouse Abuse  United Kingdom/epidemiology  Brain imaging  adversity  early life experience  large data Index. décimale : PER Périodiques Résumé : BACKGROUND: Adversity experiences (AEs) are major risk factors for psychiatric illness, and ample evidence suggests that adversity-related changes in brain structure enhance this vulnerability. To achieve greater understanding of the underlying biological pathways, increased convergence among findings is needed. Suggested future directions may benefit from the use of large population samples which may contribute to achieving this goal. We addressed mechanistic pathways by investigating the associations between multiple brain phenotypes and retrospectively reported AEs in early life (child adversity) and adulthood (partner abuse) in a large population sample, using a cross-sectional approach. METHODS: The UK Biobank resource was used to access imaging-derived phenotypes (IDPs) from 6,751 participants (aged: M = 62.1, SD = 7.2, range = 45-80), together with selected reports of childhood AEs and adult partner abuse. Principal component analysis was used to reduce the dimensionality of the data prior to multivariate tests. RESULTS: The data showed that participants who reported experiences of childhood emotional abuse ('felt hated by family member as a child') had smaller cerebellar and ventral striatum volumes. This result was also depicted in a random subset of participants; however, we note small effect sizes ( ?p2 ( ) < .01), suggestive of modest biological changes. CONCLUSIONS: Using a large population cohort, this study demonstrates the value of big datasets in the study of adversity and using automatically preprocessed neuroimaging phenotypes. While retrospective and cross-sectional characteristics limit interpretation, this study demonstrates that self-perceived adversity reports, however nonspecific, may still expose neural consequences, identifiable with increased statistical power. En ligne : http://dx.doi.org/10.1111/jcpp.13298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies / Min LI in Autism Research, 15-9 (September 2022)  

Public ISBD [article]  inAutism Research > 15-9 (September 2022) . - p.1585-1602 Titre : Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies Type de document : Texte imprimé et/ou numérique Auteurs : Min LI, Auteur ; Yide WANG, Auteur ; Masaya TACHIBANA, Auteur ; Shafiur RAHMAN, Auteur ; Kuriko KAGITANI-SHIMONO, Auteur Article en page(s) : p.1585-1602 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Child Development Disorders, Pervasive/diagnosis  Diffusion Tensor Imaging  Humans  White Matter/diagnostic imaging  autism spectrum disorder  language networks  meta-analysis  white matter connectivity Index. décimale : PER Périodiques Résumé : Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta-analysis aimed to comprehensively elucidate the abnormality in language-related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta-regression analysis. Thirty-three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta-analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language-associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under-connectivity hypothesis and demonstrate the widespread abnormal microstructure of language-related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. LAY SUMMARY: This meta-analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language-associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults. En ligne : http://dx.doi.org/10.1002/aur.2789 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483 [article] Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies [Texte imprimé et/ou numérique] / Min LI, Auteur ; Yide WANG, Auteur ; Masaya TACHIBANA, Auteur ; Shafiur RAHMAN, Auteur ; Kuriko KAGITANI-SHIMONO, Auteur . - p.1585-1602. Langues : Anglais (eng) in Autism Research > 15-9 (September 2022) . - p.1585-1602 Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Child Development Disorders, Pervasive/diagnosis  Diffusion Tensor Imaging  Humans  White Matter/diagnostic imaging  autism spectrum disorder  language networks  meta-analysis  white matter connectivity Index. décimale : PER Périodiques Résumé : Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta-analysis aimed to comprehensively elucidate the abnormality in language-related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta-regression analysis. Thirty-three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta-analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language-associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under-connectivity hypothesis and demonstrate the widespread abnormal microstructure of language-related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. LAY SUMMARY: This meta-analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language-associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults. En ligne : http://dx.doi.org/10.1002/aur.2789 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483

Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms / G. SUGRANYES in Journal of Child Psychology and Psychiatry, 62-6 (June 2021)  

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Connecting the dots: social networks in the classroom and white matter connections in the brain / Rosa H. MULDER in Journal of Child Psychology and Psychiatry, 63-12 (December 2022)  

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Differential brain activity as a function of social evaluative stress in early adolescence: Brain function and salivary cortisol / Max P. HERZBERG in Development and Psychopathology, 32-5 (December 2020)  

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Executive function mediates the prospective association between neurostructural differences within the central executive network and anti-social behavior after childhood traumatic brain injury / N. P. RYAN in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)  

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

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