2 recherche sur le mot-clé 'connectomics'

Annual Research Review: Growth connectomics – the organization and reorganization of brain networks during normal and abnormal development / Petra E. VERTES 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.299-320 Titre : Annual Research Review: Growth connectomics – the organization and reorganization of brain networks during normal and abnormal development Type de document : Texte imprimé et/ou numérique Auteurs : Petra E. VERTES, Auteur ; Edward T. BULLMORE, Auteur Article en page(s) : p.299-320 Langues : Anglais (eng) Mots-clés : Brain networks  connectomics  development  cognitive change  neurodevelopmental disorders Index. décimale : PER Périodiques Résumé : Background We first give a brief introduction to graph theoretical analysis and its application to the study of brain network topology or connectomics. Within this framework, we review the existing empirical data on developmental changes in brain network organization across a range of experimental modalities (including structural and functional MRI, diffusion tensor imaging, magnetoencephalography and electroencephalography in humans). Synthesis We discuss preliminary evidence and current hypotheses for how the emergence of network properties correlates with concomitant cognitive and behavioural changes associated with development. We highlight some of the technical and conceptual challenges to be addressed by future developments in this rapidly moving field. Given the parallels previously discovered between neural systems across species and over a range of spatial scales, we also review some recent advances in developmental network studies at the cellular scale. We highlight the opportunities presented by such studies and how they may complement neuroimaging in advancing our understanding of brain development. Finally, we note that many brain and mind disorders are thought to be neurodevelopmental in origin and that charting the trajectory of brain network changes associated with healthy development also sets the stage for understanding abnormal network development. Conclusions We therefore briefly review the clinical relevance of network metrics as potential diagnostic markers and some recent efforts in computational modelling of brain networks which might contribute to a more mechanistic understanding of neurodevelopmental disorders in future. En ligne : http://dx.doi.org/10.1111/jcpp.12365 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=2600 [article] Annual Research Review: Growth connectomics – the organization and reorganization of brain networks during normal and abnormal development [Texte imprimé et/ou numérique] / Petra E. VERTES, Auteur ; Edward T. BULLMORE, Auteur . - p.299-320. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 56-3 (March 2015) . - p.299-320 Mots-clés : Brain networks  connectomics  development  cognitive change  neurodevelopmental disorders Index. décimale : PER Périodiques Résumé : Background We first give a brief introduction to graph theoretical analysis and its application to the study of brain network topology or connectomics. Within this framework, we review the existing empirical data on developmental changes in brain network organization across a range of experimental modalities (including structural and functional MRI, diffusion tensor imaging, magnetoencephalography and electroencephalography in humans). Synthesis We discuss preliminary evidence and current hypotheses for how the emergence of network properties correlates with concomitant cognitive and behavioural changes associated with development. We highlight some of the technical and conceptual challenges to be addressed by future developments in this rapidly moving field. Given the parallels previously discovered between neural systems across species and over a range of spatial scales, we also review some recent advances in developmental network studies at the cellular scale. We highlight the opportunities presented by such studies and how they may complement neuroimaging in advancing our understanding of brain development. Finally, we note that many brain and mind disorders are thought to be neurodevelopmental in origin and that charting the trajectory of brain network changes associated with healthy development also sets the stage for understanding abnormal network development. Conclusions We therefore briefly review the clinical relevance of network metrics as potential diagnostic markers and some recent efforts in computational modelling of brain networks which might contribute to a more mechanistic understanding of neurodevelopmental disorders in future. En ligne : http://dx.doi.org/10.1111/jcpp.12365 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=2600

Girls' brain structural connectivity in late adolescence relates to history of depression symptoms / Rajpreet CHAHAL in Journal of Child Psychology and Psychiatry, 61-11 (November 2020)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233 Titre : Girls' brain structural connectivity in late adolescence relates to history of depression symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Rajpreet CHAHAL, Auteur ; David G. WEISSMAN, Auteur ; Scott MAREK, Auteur ; Shawn A. RHOADS, Auteur ; Alison E. HIPWELL, Auteur ; Erika E. FORBES, Auteur ; Kate KEENAN, Auteur ; Amanda E. GUYER, Auteur Article en page(s) : p.1224-1233 Langues : Anglais (eng) Mots-clés : Adolescence  brain imaging  connectomics  depression  development Index. décimale : PER Périodiques Résumé : BACKGROUND: Girls' depressive symptoms typically increase in adolescence, with individual differences in course and severity being key risk factors for impaired emotional functioning in young adulthood. Given the continued brain white matter (WM) maturation that occurs in adolescence, the present study tested whether structural connectivity patterns in late adolescence are associated with variation in the course of depression symptom severity throughout adolescence. METHOD: Participants were girls (N = 115) enrolled in a multiyear prospective cohort study of risk for depression. Initial depression severity (intercept) at age 10 and change in severity (linear slope) across ages 10-19 were examined in relation to WM tractography collected at age 19. Network-based statistic analyses were used to identify clusters showing variation in structural connectivity in association with depressive symptom intercept, slope, and their interaction. RESULTS: Higher initial depressive severity and steeper positive slope (separately) were associated with greater structural connectivity between temporal, subcortical socioaffective, and occipital regions. Intercept showed more connectivity associations than slope. The interaction effect indicated that higher initial symptom severity and a steeper negative slope (i.e., alleviating symptoms) were related to greater connectivity between cognitive control regions. Moderately severe symptoms that worsened over time were followed by greater connectivity between self-referential and cognitive regions (e.g., posterior cingulate and frontal gyrus). CONCLUSIONS: Higher depressive symptom severity in early adolescence and increasing symptom severity over time may forecast structural connectivity differences in late adolescence, particularly in pathways involving cognitive and emotion-processing regions. Understanding how clinical course relates to neurobiological correlates may inform new treatment approaches to adolescent depression. En ligne : http://dx.doi.org/10.1111/jcpp.13184 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4344 [article] Girls' brain structural connectivity in late adolescence relates to history of depression symptoms [Texte imprimé et/ou numérique] / Rajpreet CHAHAL, Auteur ; David G. WEISSMAN, Auteur ; Scott MAREK, Auteur ; Shawn A. RHOADS, Auteur ; Alison E. HIPWELL, Auteur ; Erika E. FORBES, Auteur ; Kate KEENAN, Auteur ; Amanda E. GUYER, Auteur . - p.1224-1233. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233 Mots-clés : Adolescence  brain imaging  connectomics  depression  development Index. décimale : PER Périodiques Résumé : BACKGROUND: Girls' depressive symptoms typically increase in adolescence, with individual differences in course and severity being key risk factors for impaired emotional functioning in young adulthood. Given the continued brain white matter (WM) maturation that occurs in adolescence, the present study tested whether structural connectivity patterns in late adolescence are associated with variation in the course of depression symptom severity throughout adolescence. METHOD: Participants were girls (N = 115) enrolled in a multiyear prospective cohort study of risk for depression. Initial depression severity (intercept) at age 10 and change in severity (linear slope) across ages 10-19 were examined in relation to WM tractography collected at age 19. Network-based statistic analyses were used to identify clusters showing variation in structural connectivity in association with depressive symptom intercept, slope, and their interaction. RESULTS: Higher initial depressive severity and steeper positive slope (separately) were associated with greater structural connectivity between temporal, subcortical socioaffective, and occipital regions. Intercept showed more connectivity associations than slope. The interaction effect indicated that higher initial symptom severity and a steeper negative slope (i.e., alleviating symptoms) were related to greater connectivity between cognitive control regions. Moderately severe symptoms that worsened over time were followed by greater connectivity between self-referential and cognitive regions (e.g., posterior cingulate and frontal gyrus). CONCLUSIONS: Higher depressive symptom severity in early adolescence and increasing symptom severity over time may forecast structural connectivity differences in late adolescence, particularly in pathways involving cognitive and emotion-processing regions. Understanding how clinical course relates to neurobiological correlates may inform new treatment approaches to adolescent depression. En ligne : http://dx.doi.org/10.1111/jcpp.13184 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4344