36 recherche sur le mot-clé 'Brain development'

Affording autism an early brain development re-definition / Ami KLIN in Development and Psychopathology, 32-4 (October 2020)  

Public ISBD [article]  inDevelopment and Psychopathology > 32-4 (October 2020) . - p.1175-1189 Titre : Affording autism an early brain development re-definition Type de document : Texte imprimé et/ou numérique Auteurs : Ami KLIN, Auteur ; Megan MICHELETTI, Auteur ; Cheryl KLAIMAN, Auteur ; Sarah SHULTZ, Auteur ; John N. CONSTANTINO, Auteur ; Warren JONES, Auteur Article en page(s) : p.1175-1189 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  brain development  definition  early diagnosis  early intervention Index. décimale : PER Périodiques Résumé : The national priority to advance early detection and intervention for children with autism spectrum disorder (ASD) has not reduced the late age of ASD diagnosis in the US over several consecutive Centers for Disease Control and Prevention (CDC) surveillance cohorts, with traditionally under-served populations accessing diagnosis later still. In this review, we explore a potential perceptual barrier to this enterprise which views ASD in terms that are contradicted by current science, and which may have its origins in the current definition of the condition and in its historical associations. To address this perceptual barrier, we propose a re-definition of ASD in early brain development terms, with a view to revisit the world of opportunities afforded by current science to optimize children's outcomes despite the risks that they are born with. This view is presented here to counter outdated notions that potentially devastating disability is determined the moment a child is born, and that these burdens are inevitable, with opportunities for improvement being constrained to only alleviation of symptoms or limited improvements in adaptive skills. The impetus for this piece is the concern that such views of complex neurodevelopmental conditions, such as ASD, can become self-fulfilling science and policy, in ways that are diametrically opposed to what we currently know, and are learning every day, of how genetic risk becomes, or not, instantiated as lifetime disabilities. En ligne : http://dx.doi.org/10.1017/s0954579420000802 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=433 [article] Affording autism an early brain development re-definition [Texte imprimé et/ou numérique] / Ami KLIN, Auteur ; Megan MICHELETTI, Auteur ; Cheryl KLAIMAN, Auteur ; Sarah SHULTZ, Auteur ; John N. CONSTANTINO, Auteur ; Warren JONES, Auteur . - p.1175-1189. Langues : Anglais (eng) in Development and Psychopathology > 32-4 (October 2020) . - p.1175-1189 Mots-clés : autism spectrum disorder  brain development  definition  early diagnosis  early intervention Index. décimale : PER Périodiques Résumé : The national priority to advance early detection and intervention for children with autism spectrum disorder (ASD) has not reduced the late age of ASD diagnosis in the US over several consecutive Centers for Disease Control and Prevention (CDC) surveillance cohorts, with traditionally under-served populations accessing diagnosis later still. In this review, we explore a potential perceptual barrier to this enterprise which views ASD in terms that are contradicted by current science, and which may have its origins in the current definition of the condition and in its historical associations. To address this perceptual barrier, we propose a re-definition of ASD in early brain development terms, with a view to revisit the world of opportunities afforded by current science to optimize children's outcomes despite the risks that they are born with. This view is presented here to counter outdated notions that potentially devastating disability is determined the moment a child is born, and that these burdens are inevitable, with opportunities for improvement being constrained to only alleviation of symptoms or limited improvements in adaptive skills. The impetus for this piece is the concern that such views of complex neurodevelopmental conditions, such as ASD, can become self-fulfilling science and policy, in ways that are diametrically opposed to what we currently know, and are learning every day, of how genetic risk becomes, or not, instantiated as lifetime disabilities. En ligne : http://dx.doi.org/10.1017/s0954579420000802 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=433

Cerebrospinal fluid and the early brain development of autism / M. D. SHEN in Journal of Neurodevelopmental Disorders, 10-1 (December 2018)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 39 p. Titre : Cerebrospinal fluid and the early brain development of autism Type de document : Texte imprimé et/ou numérique Auteurs : M. D. SHEN, Auteur Année de publication : 2018 Article en page(s) : 39 p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Biomarkers  Brain development  Brain enlargement  Cerebrospinal fluid  Early risk signs  Extra-axial cerebrospinal fluid  Glymphatic system  Heterogeneity  Infancy  Lateral ventricles  Neural meningeal lymphatic system  Neuroinflammation  Stratification biomarker Index. décimale : PER Périodiques Résumé : BACKGROUND: There is currently a renaissance of interest in the many functions of cerebrospinal fluid (CSF). Altered flow of CSF, for example, has been shown to impair the clearance of pathogenic inflammatory proteins involved in neurodegenerative diseases, such as amyloid-beta. In addition, the role of CSF in the newly discovered lymphatic system of the brain has become a prominently researched area in clinical neuroscience, as CSF serves as a conduit between the central nervous system and immune system. MAIN BODY: This article will review the importance of CSF in regulating normal brain development and function, from the prenatal period throughout the lifespan, and highlight recent research that CSF abnormalities in autism spectrum disorder (ASD) are present in infancy, are detectable by conventional structural MRI, and could serve as an early indicator of altered neurodevelopment. CONCLUSION: The identification of early CSF abnormalities in children with ASD, along with emerging knowledge of the underlying pathogenic mechanisms, has the potential to serve as early stratification biomarkers that separate children with ASD into biological subtypes that share a common pathophysiology. Such subtypes could help parse the phenotypic heterogeneity of ASD and map on to targeted, biologically based treatments. En ligne : http://dx.doi.org/10.1186/s11689-018-9256-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386 [article] Cerebrospinal fluid and the early brain development of autism [Texte imprimé et/ou numérique] / M. D. SHEN, Auteur . - 2018 . - 39 p. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 39 p. Mots-clés : Autism spectrum disorder  Biomarkers  Brain development  Brain enlargement  Cerebrospinal fluid  Early risk signs  Extra-axial cerebrospinal fluid  Glymphatic system  Heterogeneity  Infancy  Lateral ventricles  Neural meningeal lymphatic system  Neuroinflammation  Stratification biomarker Index. décimale : PER Périodiques Résumé : BACKGROUND: There is currently a renaissance of interest in the many functions of cerebrospinal fluid (CSF). Altered flow of CSF, for example, has been shown to impair the clearance of pathogenic inflammatory proteins involved in neurodegenerative diseases, such as amyloid-beta. In addition, the role of CSF in the newly discovered lymphatic system of the brain has become a prominently researched area in clinical neuroscience, as CSF serves as a conduit between the central nervous system and immune system. MAIN BODY: This article will review the importance of CSF in regulating normal brain development and function, from the prenatal period throughout the lifespan, and highlight recent research that CSF abnormalities in autism spectrum disorder (ASD) are present in infancy, are detectable by conventional structural MRI, and could serve as an early indicator of altered neurodevelopment. CONCLUSION: The identification of early CSF abnormalities in children with ASD, along with emerging knowledge of the underlying pathogenic mechanisms, has the potential to serve as early stratification biomarkers that separate children with ASD into biological subtypes that share a common pathophysiology. Such subtypes could help parse the phenotypic heterogeneity of ASD and map on to targeted, biologically based treatments. En ligne : http://dx.doi.org/10.1186/s11689-018-9256-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386

Commentary: Developmental connectomics to advance our understanding of typical and atypical brain development – a commentary on Vértes and Bullmore () / Alice M. GRAHAM in Journal of Child Psychology and Psychiatry, 56-3 (March 2015)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 56-3 (March 2015) . - p.321-323 Titre : Commentary: Developmental connectomics to advance our understanding of typical and atypical brain development – a commentary on Vértes and Bullmore () Type de document : Texte imprimé et/ou numérique Auteurs : Alice M. GRAHAM, Auteur ; Damien A. FAIR, Auteur Article en page(s) : p.321-323 Langues : Anglais (eng) Mots-clés : Brain development  neuropsychiatric disorders  neuroimaging  connectome  DOHad Index. décimale : PER Périodiques Résumé : Vértes and Bullmore's article lays a framework for applying connectomics, the study of brain function from the perspective of underlying network organization, to advance understanding of healthy and maladaptive brain development. They elucidate the power of connectomics for bridging both different levels of analysis (e.g. from synapses to brain regions) and multiple academic fields. In this commentary, we highlight important themes and remaining questions stemming from Vértes and Bullmore's work, including: (a) the application of connectomics in the context of integrating analyses across multiple spatial and temporal dimensions, (b) the extent to which connectomics might be applied in translational and clinical studies of development, (c) growth connectomics and the Developmental Origins of Health and Disease (DOHaD) hypothesis, and (d) the importance and complexity of sound methodological practices in applying connectomics to developmental and clinical science. Ongoing work in these areas will be important for fulfilling the promise of connectomics as a bridge between neuroscience, developmental science, and translational and clinical research. En ligne : http://dx.doi.org/10.1111/jcpp.12400 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260 [article] Commentary: Developmental connectomics to advance our understanding of typical and atypical brain development – a commentary on Vértes and Bullmore () [Texte imprimé et/ou numérique] / Alice M. GRAHAM, Auteur ; Damien A. FAIR, Auteur . - p.321-323. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 56-3 (March 2015) . - p.321-323 Mots-clés : Brain development  neuropsychiatric disorders  neuroimaging  connectome  DOHad Index. décimale : PER Périodiques Résumé : Vértes and Bullmore's article lays a framework for applying connectomics, the study of brain function from the perspective of underlying network organization, to advance understanding of healthy and maladaptive brain development. They elucidate the power of connectomics for bridging both different levels of analysis (e.g. from synapses to brain regions) and multiple academic fields. In this commentary, we highlight important themes and remaining questions stemming from Vértes and Bullmore's work, including: (a) the application of connectomics in the context of integrating analyses across multiple spatial and temporal dimensions, (b) the extent to which connectomics might be applied in translational and clinical studies of development, (c) growth connectomics and the Developmental Origins of Health and Disease (DOHaD) hypothesis, and (d) the importance and complexity of sound methodological practices in applying connectomics to developmental and clinical science. Ongoing work in these areas will be important for fulfilling the promise of connectomics as a bridge between neuroscience, developmental science, and translational and clinical research. En ligne : http://dx.doi.org/10.1111/jcpp.12400 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260

Commentary: What does immunology have to do with brain development and psychopathology? – a commentary on O'Connor et al. (2014) / James F. LECKMAN in Journal of Child Psychology and Psychiatry, 55-6 (June 2014)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 55-6 (June 2014) . - p.632-634 Titre : Commentary: What does immunology have to do with brain development and psychopathology? – a commentary on O'Connor et al. (2014) Type de document : Texte imprimé et/ou numérique Auteurs : James F. LECKMAN, Auteur Année de publication : 2014 Article en page(s) : p.632-634 Langues : Anglais (eng) Mots-clés : Brain development  developmental psychoneuroimmunology  immune epigenetics  stress  resilience Index. décimale : PER Périodiques Résumé : In the past, we have typically regarded the ‘immune system’ as a complex set of cellular and molecular processes that protect us against pathogens, from viruses to parasitic worms. It is now clear that the cellular and molecular processes that make up our ‘immune system’ are also crucial to normal brain development and play a role in the pathoaetiology of many mental and physical disorders. In their Annual Research Review, O'Connor, Moynihan and Caserta (2014) provide a useful introduction to this emerging area of science that is highly relevant to our field and is a natural outgrowth of their earlier and ongoing work in psychoneuroimmunology. However, their review goes well beyond these seminal findings. While work in developmental psychoneuroimmunology engenders a good deal of excitement among academic researchers, the ‘promise’ of the field clearly remains greater than the ‘deliverables’, in terms of any direct effect on patient care. This commentary looks at the implication of these findings for clinical practice and where future research efforts should be expended. En ligne : http://dx.doi.org/10.1111/jcpp.12259 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=234 [article] Commentary: What does immunology have to do with brain development and psychopathology? – a commentary on O'Connor et al. (2014) [Texte imprimé et/ou numérique] / James F. LECKMAN, Auteur . - 2014 . - p.632-634. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 55-6 (June 2014) . - p.632-634 Mots-clés : Brain development  developmental psychoneuroimmunology  immune epigenetics  stress  resilience Index. décimale : PER Périodiques Résumé : In the past, we have typically regarded the ‘immune system’ as a complex set of cellular and molecular processes that protect us against pathogens, from viruses to parasitic worms. It is now clear that the cellular and molecular processes that make up our ‘immune system’ are also crucial to normal brain development and play a role in the pathoaetiology of many mental and physical disorders. In their Annual Research Review, O'Connor, Moynihan and Caserta (2014) provide a useful introduction to this emerging area of science that is highly relevant to our field and is a natural outgrowth of their earlier and ongoing work in psychoneuroimmunology. However, their review goes well beyond these seminal findings. While work in developmental psychoneuroimmunology engenders a good deal of excitement among academic researchers, the ‘promise’ of the field clearly remains greater than the ‘deliverables’, in terms of any direct effect on patient care. This commentary looks at the implication of these findings for clinical practice and where future research efforts should be expended. En ligne : http://dx.doi.org/10.1111/jcpp.12259 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=234

Deviation from normative brain development is associated with symptom severity in autism spectrum disorder / B. TUNC in Molecular Autism, 10 (2019)  

Public ISBD [article]  inMolecular Autism > 10 (2019) . - 46 p. Titre : Deviation from normative brain development is associated with symptom severity in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : B. TUNC, Auteur ; L. D. YANKOWITZ, Auteur ; D. PARKER, Auteur ; J. A. ALAPPATT, Auteur ; J. PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; R. VERMA, Auteur Article en page(s) : 46 p. Langues : Anglais (eng) Mots-clés : Autism  Brain development  Heterogeneity  Machine learning  Normative modeling  Symptom severity Index. décimale : PER Périodiques Résumé : Background: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to observed behavioral outcomes at the individual level are not well-studied. We hypothesize that the degree of deviation from typical brain development of an individual with ASD would relate to observed symptom severity. Methods: The developmental changes in anatomical (cortical thickness, surface area, and volume) and diffusion metrics (fractional anisotropy and apparent diffusion coefficient) were compared between a sample of ASD (n = 247) and typically developing children (TDC) (n = 220) aged 6-25. Machine learning was used to predict age (brain age) from these metrics in the TDC sample, to define a normative model of brain development. This model was then used to compute brain age in the ASD sample. The difference between chronological age and brain age was considered a developmental deviation index (DDI), which was then correlated with ASD symptom severity. Results: Machine learning model trained on all five metrics accurately predicted age in the TDC (r = 0.88) and the ASD (r = 0.85) samples, with dominant contributions to the model from the diffusion metrics. Within the ASD group, the DDI derived from fractional anisotropy was correlated with ASD symptom severity (r = - 0.2), such that individuals with the most advanced brain age showing the lowest severity, and individuals with the most delayed brain age showing the highest severity. Limitations: This work investigated only linear relationships between five specific brain metrics and only one measure of ASD symptom severity in a limited age range. Reported effect sizes are moderate. Further work is needed to investigate developmental differences in other age ranges, other aspects of behavior, other neurobiological measures, and in an independent sample before results can be clinically applicable. Conclusions: Findings demonstrate that the degree of deviation from typical brain development relates to ASD symptom severity, partially accounting for the observed heterogeneity in ASD. Our approach enables characterization of each individual with reference to normative brain development and identification of distinct developmental subtypes, facilitating a better understanding of developmental heterogeneity in ASD. En ligne : http://dx.doi.org/10.1186/s13229-019-0301-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=414 [article] Deviation from normative brain development is associated with symptom severity in autism spectrum disorder [Texte imprimé et/ou numérique] / B. TUNC, Auteur ; L. D. YANKOWITZ, Auteur ; D. PARKER, Auteur ; J. A. ALAPPATT, Auteur ; J. PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; R. VERMA, Auteur . - 46 p. Langues : Anglais (eng) in Molecular Autism > 10 (2019) . - 46 p. Mots-clés : Autism  Brain development  Heterogeneity  Machine learning  Normative modeling  Symptom severity Index. décimale : PER Périodiques Résumé : Background: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to observed behavioral outcomes at the individual level are not well-studied. We hypothesize that the degree of deviation from typical brain development of an individual with ASD would relate to observed symptom severity. Methods: The developmental changes in anatomical (cortical thickness, surface area, and volume) and diffusion metrics (fractional anisotropy and apparent diffusion coefficient) were compared between a sample of ASD (n = 247) and typically developing children (TDC) (n = 220) aged 6-25. Machine learning was used to predict age (brain age) from these metrics in the TDC sample, to define a normative model of brain development. This model was then used to compute brain age in the ASD sample. The difference between chronological age and brain age was considered a developmental deviation index (DDI), which was then correlated with ASD symptom severity. Results: Machine learning model trained on all five metrics accurately predicted age in the TDC (r = 0.88) and the ASD (r = 0.85) samples, with dominant contributions to the model from the diffusion metrics. Within the ASD group, the DDI derived from fractional anisotropy was correlated with ASD symptom severity (r = - 0.2), such that individuals with the most advanced brain age showing the lowest severity, and individuals with the most delayed brain age showing the highest severity. Limitations: This work investigated only linear relationships between five specific brain metrics and only one measure of ASD symptom severity in a limited age range. Reported effect sizes are moderate. Further work is needed to investigate developmental differences in other age ranges, other aspects of behavior, other neurobiological measures, and in an independent sample before results can be clinically applicable. Conclusions: Findings demonstrate that the degree of deviation from typical brain development relates to ASD symptom severity, partially accounting for the observed heterogeneity in ASD. Our approach enables characterization of each individual with reference to normative brain development and identification of distinct developmental subtypes, facilitating a better understanding of developmental heterogeneity in ASD. En ligne : http://dx.doi.org/10.1186/s13229-019-0301-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=414

Local brain connectivity across development in autism spectrum disorder: A cross-sectional investigation / Dina R. DAJANI in Autism Research, 9-1 (January 2016)  

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Parenting x Brain Development interactions as predictors of adolescent depressive symptoms and well-being: Differential susceptibility or diathesis-stress? / Camille DEANE in Development and Psychopathology, 32-1 (February 2020)  

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Atypical longitudinal development of functional connectivity in adolescents with autism spectrum disorder / K. E. LAWRENCE in Autism Research, 12-1 (January 2019)  

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Child Abuse and Neglect and the Brain—A Review / Danya GLASER in Journal of Child Psychology and Psychiatry, 41-1 (January 2000)

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Differences in Brain Structural Covariance Network Characteristics in Children and Adults With Autism Spectrum Disorder / Suping CAI in Autism Research, 14-2 (February 2021)  

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