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Childhood sleep disturbances and white matter microstructure in preadolescence / T. A. MULDER in Journal of Child Psychology and Psychiatry, 60-11 (November 2019)
[article]
Titre : Childhood sleep disturbances and white matter microstructure in preadolescence Type de document : Texte imprimé et/ou numérique Auteurs : T. A. MULDER, Auteur ; D. KOCEVSKA, Auteur ; R. L. MUETZEL, Auteur ; M. E. KOOPMAN-VERHOEFF, Auteur ; M. H. HILLEGERS, Auteur ; T. WHITE, Auteur ; H. TIEMEIER, Auteur Article en page(s) : p.1242-1250 Langues : Anglais (eng) Mots-clés : Dti Sleep problems repeated measurements white matter microstructure Index. décimale : PER Périodiques Résumé : BACKGROUND: Sleep problems occur in up to 30% of children and have been associated with adverse developmental outcomes. However, due to a lack of longitudinal neuroimaging studies, the neurobiological changes that may underlie some of these associations have remained unclear. This study explored the association between sleep problems during childhood and white matter (WM) microstructure in preadolescence. METHODS: Children from the population-based birth cohort, the Generation R Study, who had repeatedly assessed sleep problems between 1.5 and 10 years of age and a MRI scan at age 10 (N = 2,449), were included. Mothers reported on their child's sleep problems using the Child Behavior Checklist (CBCL 1.5-5) when children were 1.5, 3, and 6 years of age. At age 2, mothers completed very similar questions. At age 10, both children and their mothers reported on sleep problems. We used whole-brain and tract-specific fractional anisotropy (FA) and mean diffusivity (MD) values obtained through diffusion tensor imaging as measures of WM microstructure. RESULTS: Childhood sleep problems at 1.5, 2, and 6 years of age were associated with less WM microstructural integrity (approximately 0.05 SD lower global FA score per 1-SD sleep problems). In repeated-measures analyses, children with more sleep problems (per 1-SD) at baseline had lower FA values at age 10 in particular in the corticospinal tract (-0.12 SD, 95% CI:-0.20;-0.05), the uncinate fasciculus (-0.12 SD, 95% CI:-0.19;-0.05), and the forceps major (-0.11 SD, 95% CI:-0.18;-0.03), although effect estimates across the tracts did not differ substantially. CONCLUSIONS: Childhood sleep disturbances are associated with less WM microstructural integrity in preadolescence. Our results show that early neurodevelopment may be a period of particular vulnerability to sleep problems. This study cannot demonstrate causality but suggests that preventive interventions addressing sleep problems should be further explored to test whether they impact adverse neurodevelopment. En ligne : http://dx.doi.org/10.1111/jcpp.13085 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408
in Journal of Child Psychology and Psychiatry > 60-11 (November 2019) . - p.1242-1250[article] Childhood sleep disturbances and white matter microstructure in preadolescence [Texte imprimé et/ou numérique] / T. A. MULDER, Auteur ; D. KOCEVSKA, Auteur ; R. L. MUETZEL, Auteur ; M. E. KOOPMAN-VERHOEFF, Auteur ; M. H. HILLEGERS, Auteur ; T. WHITE, Auteur ; H. TIEMEIER, Auteur . - p.1242-1250.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 60-11 (November 2019) . - p.1242-1250
Mots-clés : Dti Sleep problems repeated measurements white matter microstructure Index. décimale : PER Périodiques Résumé : BACKGROUND: Sleep problems occur in up to 30% of children and have been associated with adverse developmental outcomes. However, due to a lack of longitudinal neuroimaging studies, the neurobiological changes that may underlie some of these associations have remained unclear. This study explored the association between sleep problems during childhood and white matter (WM) microstructure in preadolescence. METHODS: Children from the population-based birth cohort, the Generation R Study, who had repeatedly assessed sleep problems between 1.5 and 10 years of age and a MRI scan at age 10 (N = 2,449), were included. Mothers reported on their child's sleep problems using the Child Behavior Checklist (CBCL 1.5-5) when children were 1.5, 3, and 6 years of age. At age 2, mothers completed very similar questions. At age 10, both children and their mothers reported on sleep problems. We used whole-brain and tract-specific fractional anisotropy (FA) and mean diffusivity (MD) values obtained through diffusion tensor imaging as measures of WM microstructure. RESULTS: Childhood sleep problems at 1.5, 2, and 6 years of age were associated with less WM microstructural integrity (approximately 0.05 SD lower global FA score per 1-SD sleep problems). In repeated-measures analyses, children with more sleep problems (per 1-SD) at baseline had lower FA values at age 10 in particular in the corticospinal tract (-0.12 SD, 95% CI:-0.20;-0.05), the uncinate fasciculus (-0.12 SD, 95% CI:-0.19;-0.05), and the forceps major (-0.11 SD, 95% CI:-0.18;-0.03), although effect estimates across the tracts did not differ substantially. CONCLUSIONS: Childhood sleep disturbances are associated with less WM microstructural integrity in preadolescence. Our results show that early neurodevelopment may be a period of particular vulnerability to sleep problems. This study cannot demonstrate causality but suggests that preventive interventions addressing sleep problems should be further explored to test whether they impact adverse neurodevelopment. En ligne : http://dx.doi.org/10.1111/jcpp.13085 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408 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)
[article]
Titre : Connecting the dots: social networks in the classroom and white matter connections in the brain Type de document : Texte imprimé et/ou numérique Auteurs : Rosa H. MULDER, Auteur ; Monica LOPEZ-VICENTE, Auteur ; Andrea P. CORTES HIDALGO, Auteur ; Lisa R. STEENKAMP, Auteur ; Berna GUROÄŽLU, Auteur ; Henning TIEMEIER, Auteur ; Ryan L. MUETZEL, Auteur Article en page(s) : p.1622-1630 Langues : Anglais (eng) Mots-clés : Child Humans White Matter/diagnostic imaging Diffusion Tensor Imaging Cross-Sectional Studies Brain/diagnostic imaging Social Networking Bullying behavior Generation R Study brain imaging peer acceptance peer rejection peer victimization white matter microstructure Index. décimale : PER Périodiques Résumé : BACKGROUND: Peer connections in school classrooms play an important role in social-emotional development and mental health. However, research on the association between children's peer relationships and white matter connections in the brain is scarce. We studied associations between peer relationships in the classroom and white matter structural connectivity in a pediatric population-based sample. METHODS: Bullying and victimization, as well as rejection and acceptance, were assessed in classrooms in 634 children at age 7. White matter microstructure (fractional anisotropy (FA), mean diffusivity (MD)) was measured with diffusion tensor imaging at age 10. We examined global metrics of white matter microstructure and used Tract-Based Spatial Statistics (TBSS) for voxel-wise associations. RESULTS: Peer victimization was associated with higher global FA and lower global MD and peer rejection was associated with lower global MD; however, these associations did not remain after multiple testing correction. Voxel-wise TBSS results for peer victimization and rejection were in line with global metrics both in terms of direction and spatial extent of the associations, with associated voxels (p(FWE) <.05) observed throughout the brain (including corpus callosum, corona radiata, sagittal stratum and superior longitudinal fasciculi). CONCLUSIONS: Although based only on cross-sectional data, the findings could indicate accelerated white matter microstructure maturation in certain brain areas of children who are victimized or rejected more often. However, repeated measurements are essential to unravel this complex interplay of peer connections, maturation and brain development over time. En ligne : http://dx.doi.org/10.1111/jcpp.13647 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490
in Journal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1622-1630[article] Connecting the dots: social networks in the classroom and white matter connections in the brain [Texte imprimé et/ou numérique] / Rosa H. MULDER, Auteur ; Monica LOPEZ-VICENTE, Auteur ; Andrea P. CORTES HIDALGO, Auteur ; Lisa R. STEENKAMP, Auteur ; Berna GUROÄŽLU, Auteur ; Henning TIEMEIER, Auteur ; Ryan L. MUETZEL, Auteur . - p.1622-1630.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1622-1630
Mots-clés : Child Humans White Matter/diagnostic imaging Diffusion Tensor Imaging Cross-Sectional Studies Brain/diagnostic imaging Social Networking Bullying behavior Generation R Study brain imaging peer acceptance peer rejection peer victimization white matter microstructure Index. décimale : PER Périodiques Résumé : BACKGROUND: Peer connections in school classrooms play an important role in social-emotional development and mental health. However, research on the association between children's peer relationships and white matter connections in the brain is scarce. We studied associations between peer relationships in the classroom and white matter structural connectivity in a pediatric population-based sample. METHODS: Bullying and victimization, as well as rejection and acceptance, were assessed in classrooms in 634 children at age 7. White matter microstructure (fractional anisotropy (FA), mean diffusivity (MD)) was measured with diffusion tensor imaging at age 10. We examined global metrics of white matter microstructure and used Tract-Based Spatial Statistics (TBSS) for voxel-wise associations. RESULTS: Peer victimization was associated with higher global FA and lower global MD and peer rejection was associated with lower global MD; however, these associations did not remain after multiple testing correction. Voxel-wise TBSS results for peer victimization and rejection were in line with global metrics both in terms of direction and spatial extent of the associations, with associated voxels (p(FWE) <.05) observed throughout the brain (including corpus callosum, corona radiata, sagittal stratum and superior longitudinal fasciculi). CONCLUSIONS: Although based only on cross-sectional data, the findings could indicate accelerated white matter microstructure maturation in certain brain areas of children who are victimized or rejected more often. However, repeated measurements are essential to unravel this complex interplay of peer connections, maturation and brain development over time. En ligne : http://dx.doi.org/10.1111/jcpp.13647 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 Exposure to prenatal maternal distress and infant white matter neurodevelopment / Catherine H. DEMERS in Development and Psychopathology, 33-5 (December 2021)
[article]
Titre : Exposure to prenatal maternal distress and infant white matter neurodevelopment Type de document : Texte imprimé et/ou numérique Auteurs : Catherine H. DEMERS, Auteur ; Maria M. BAGONIS, Auteur ; Khalid AL-ALI, Auteur ; Sarah E. GARCIA, Auteur ; Martin A. STYNER, Auteur ; John H. GILMORE, Auteur ; M. Camille HOFFMAN, Auteur ; Benjamin L. HANKIN, Auteur ; Elysia Poggi DAVIS, Auteur Article en page(s) : p.1526-1538 Langues : Anglais (eng) Mots-clés : pregnancy white matter microstructure magnetic resonance imaging (MRI) diffusion tensor imaging (DTI) anxiety Index. décimale : PER Périodiques Résumé : The prenatal period represents a critical time for brain growth and development. These rapid neurological advances render the fetus susceptible to various influences with life-long implications for mental health. Maternal distress signals are a dominant early life influence, contributing to birth outcomes and risk for offspring psychopathology. This prospective longitudinal study evaluated the association between prenatal maternal distress and infant white matter microstructure. Participants included a racially and socioeconomically diverse sample of 85 mother–infant dyads. Prenatal distress was assessed at 17 and 29 weeks’ gestational age (GA). Infant structural data were collected via diffusion tensor imaging (DTI) at 42–45 weeks’ postconceptional age. Findings demonstrated that higher prenatal maternal distress at 29 weeks’ GA was associated with increased fractional anisotropy, b = .283, t(64) = 2.319, p = .024, and with increased axial diffusivity, b = .254, t(64) = 2.067, p = .043, within the right anterior cingulate white matter tract. No other significant associations were found with prenatal distress exposure and tract fractional anisotropy or axial diffusivity at 29 weeks’ GA, or earlier in gestation. En ligne : http://dx.doi.org/10.1017/S0954579421000742 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=457
in Development and Psychopathology > 33-5 (December 2021) . - p.1526-1538[article] Exposure to prenatal maternal distress and infant white matter neurodevelopment [Texte imprimé et/ou numérique] / Catherine H. DEMERS, Auteur ; Maria M. BAGONIS, Auteur ; Khalid AL-ALI, Auteur ; Sarah E. GARCIA, Auteur ; Martin A. STYNER, Auteur ; John H. GILMORE, Auteur ; M. Camille HOFFMAN, Auteur ; Benjamin L. HANKIN, Auteur ; Elysia Poggi DAVIS, Auteur . - p.1526-1538.
Langues : Anglais (eng)
in Development and Psychopathology > 33-5 (December 2021) . - p.1526-1538
Mots-clés : pregnancy white matter microstructure magnetic resonance imaging (MRI) diffusion tensor imaging (DTI) anxiety Index. décimale : PER Périodiques Résumé : The prenatal period represents a critical time for brain growth and development. These rapid neurological advances render the fetus susceptible to various influences with life-long implications for mental health. Maternal distress signals are a dominant early life influence, contributing to birth outcomes and risk for offspring psychopathology. This prospective longitudinal study evaluated the association between prenatal maternal distress and infant white matter microstructure. Participants included a racially and socioeconomically diverse sample of 85 mother–infant dyads. Prenatal distress was assessed at 17 and 29 weeks’ gestational age (GA). Infant structural data were collected via diffusion tensor imaging (DTI) at 42–45 weeks’ postconceptional age. Findings demonstrated that higher prenatal maternal distress at 29 weeks’ GA was associated with increased fractional anisotropy, b = .283, t(64) = 2.319, p = .024, and with increased axial diffusivity, b = .254, t(64) = 2.067, p = .043, within the right anterior cingulate white matter tract. No other significant associations were found with prenatal distress exposure and tract fractional anisotropy or axial diffusivity at 29 weeks’ GA, or earlier in gestation. En ligne : http://dx.doi.org/10.1017/S0954579421000742 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=457 Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism / C. ANDICA in Molecular Autism, 12 (2021)
[article]
Titre : Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism Type de document : Texte imprimé et/ou numérique Auteurs : C. ANDICA, Auteur ; K. KAMAGATA, Auteur ; E. KIRINO, Auteur ; W. UCHIDA, Auteur ; R. IRIE, Auteur ; S. MURATA, Auteur ; S. AOKI, Auteur Article en page(s) : 48 p. Langues : Anglais (eng) Mots-clés : Autism Diffusion tensor imaging Linear discriminant analysis Neurite orientation dispersion and density imaging Neuroinflammation Neuronal loss Region-of-interest Tract-based spatial statistics White matter microstructure Index. décimale : PER Périodiques Résumé : BACKGROUND: Evidences suggesting the association between behavioral anomalies in autism and white matter (WM) microstructural alterations are increasing. Diffusion tensor imaging (DTI) is widely used to infer tissue microstructure. However, due to its lack of specificity, the underlying pathology of reported differences in DTI measures in autism remains poorly understood. Herein, we applied neurite orientation dispersion and density imaging (NODDI) to quantify and define more specific causes of WM microstructural changes associated with autism in adults. METHODS: NODDI (neurite density index [NDI], orientation dispersion index, and isotropic volume fraction [ISOVF]) and DTI (fractional anisotropy [FA], mean diffusivity [MD], axial diffusivity, and radial diffusivity [RD]) measures were compared between autism (N?=?26; 19 males and 7 females; 32.93?±?9.24 years old) and age- and sex-matched typically developing (TD; N?=?25; 17 males and 8 females; 34.43?±?9.02 years old) groups using tract-based spatial statistics and region-of-interest analyses. Linear discriminant analysis using leave-one-out cross-validation (LDA-LOOCV) was also performed to assess the discriminative power of diffusion measures in autism and TD. RESULTS: Significantly lower NDI and higher ISOVF, suggestive of decreased neurite density and increased extracellular free-water, respectively, were demonstrated in the autism group compared with the TD group, mainly in commissural and long-range association tracts, but with distinct predominant sides. Consistent with previous reports, the autism group showed lower FA and higher MD and RD when compared with TD group. Notably, LDA-LOOCV suggests that NDI and ISOVF have relatively higher accuracy (82%) and specificity (NDI, 84%; ISOVF, 88%) compared with that of FA, MD, and RD (accuracy, 67-73%; specificity, 68-80%). LIMITATIONS: The absence of histopathological confirmation limit the interpretation of our findings. CONCLUSIONS: Our results suggest that NODDI measures might be useful as imaging biomarkers to diagnose autism in adults and assess its behavioral characteristics. Furthermore, NODDI allows interpretation of previous findings on changes in WM diffusion tensor metrics in individuals with autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00456-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459
in Molecular Autism > 12 (2021) . - 48 p.[article] Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism [Texte imprimé et/ou numérique] / C. ANDICA, Auteur ; K. KAMAGATA, Auteur ; E. KIRINO, Auteur ; W. UCHIDA, Auteur ; R. IRIE, Auteur ; S. MURATA, Auteur ; S. AOKI, Auteur . - 48 p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 48 p.
Mots-clés : Autism Diffusion tensor imaging Linear discriminant analysis Neurite orientation dispersion and density imaging Neuroinflammation Neuronal loss Region-of-interest Tract-based spatial statistics White matter microstructure Index. décimale : PER Périodiques Résumé : BACKGROUND: Evidences suggesting the association between behavioral anomalies in autism and white matter (WM) microstructural alterations are increasing. Diffusion tensor imaging (DTI) is widely used to infer tissue microstructure. However, due to its lack of specificity, the underlying pathology of reported differences in DTI measures in autism remains poorly understood. Herein, we applied neurite orientation dispersion and density imaging (NODDI) to quantify and define more specific causes of WM microstructural changes associated with autism in adults. METHODS: NODDI (neurite density index [NDI], orientation dispersion index, and isotropic volume fraction [ISOVF]) and DTI (fractional anisotropy [FA], mean diffusivity [MD], axial diffusivity, and radial diffusivity [RD]) measures were compared between autism (N?=?26; 19 males and 7 females; 32.93?±?9.24 years old) and age- and sex-matched typically developing (TD; N?=?25; 17 males and 8 females; 34.43?±?9.02 years old) groups using tract-based spatial statistics and region-of-interest analyses. Linear discriminant analysis using leave-one-out cross-validation (LDA-LOOCV) was also performed to assess the discriminative power of diffusion measures in autism and TD. RESULTS: Significantly lower NDI and higher ISOVF, suggestive of decreased neurite density and increased extracellular free-water, respectively, were demonstrated in the autism group compared with the TD group, mainly in commissural and long-range association tracts, but with distinct predominant sides. Consistent with previous reports, the autism group showed lower FA and higher MD and RD when compared with TD group. Notably, LDA-LOOCV suggests that NDI and ISOVF have relatively higher accuracy (82%) and specificity (NDI, 84%; ISOVF, 88%) compared with that of FA, MD, and RD (accuracy, 67-73%; specificity, 68-80%). LIMITATIONS: The absence of histopathological confirmation limit the interpretation of our findings. CONCLUSIONS: Our results suggest that NODDI measures might be useful as imaging biomarkers to diagnose autism in adults and assess its behavioral characteristics. Furthermore, NODDI allows interpretation of previous findings on changes in WM diffusion tensor metrics in individuals with autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00456-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459