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7 recherche sur le mot-clé 'Brain networks'
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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)
[article]
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 : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260
in Journal of Child Psychology and Psychiatry > 56-3 (March 2015) . - p.299-320[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 : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260 Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder / Bosi CHEN in Journal of Child Psychology and Psychiatry, 62-2 (February 2021)
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Titre : Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Bosi CHEN, Auteur ; Annika LINKE, Auteur ; Lindsay OLSON, Auteur ; Cynthia IBARRA, Auteur ; Sarah REYNOLDS, Auteur ; Ralph-Axel MULLER, Auteur ; Mikaela KINNEAR, Auteur ; Inna FISHMAN, Auteur Année de publication : 2021 Article en page(s) : p.160-170 Langues : Anglais (eng) Mots-clés : Brain networks autism spectrum disorders early childhood functional connectivity neuroimaging Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of autism spectrum disorder (ASD) emerge in the first years of life. Yet, little is known about the organization and development of functional brain networks in ASD proximally to the symptom onset. Further, the relationship between brain network connectivity and emerging ASD symptoms and overall functioning in early childhood is not well understood. METHODS: Resting-state fMRI data were acquired during natural sleep from 24 young children with ASD and 23 typically developing (TD) children, aged 17-45 months. Intrinsic functional connectivity (iFC) within and between resting-state functional networks was derived with independent component analysis (ICA). RESULTS: Increased iFC between visual and sensorimotor networks was found in young children with ASD compared to TD participants. Within the ASD group, the degree of overconnectivity between visual and sensorimotor networks was associated with greater autism symptoms. Age-related weakening of the visual-auditory between-network connectivity was observed in the ASD but not the TD group. CONCLUSIONS: Taken together, these results provide evidence for disrupted functional network maturation and differentiation, particularly involving visual and sensorimotor networks, during the first years of life in ASD. The observed pattern of greater visual-sensorimotor between-network connectivity associated with poorer clinical outcomes suggests that disruptions in multisensory brain circuitry may play a critical role for early development of behavioral skills and autism symptomatology in young children with ASD. En ligne : http://dx.doi.org/10.1111/jcpp.13268 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440
in Journal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.160-170[article] Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder [Texte imprimé et/ou numérique] / Bosi CHEN, Auteur ; Annika LINKE, Auteur ; Lindsay OLSON, Auteur ; Cynthia IBARRA, Auteur ; Sarah REYNOLDS, Auteur ; Ralph-Axel MULLER, Auteur ; Mikaela KINNEAR, Auteur ; Inna FISHMAN, Auteur . - 2021 . - p.160-170.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.160-170
Mots-clés : Brain networks autism spectrum disorders early childhood functional connectivity neuroimaging Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of autism spectrum disorder (ASD) emerge in the first years of life. Yet, little is known about the organization and development of functional brain networks in ASD proximally to the symptom onset. Further, the relationship between brain network connectivity and emerging ASD symptoms and overall functioning in early childhood is not well understood. METHODS: Resting-state fMRI data were acquired during natural sleep from 24 young children with ASD and 23 typically developing (TD) children, aged 17-45 months. Intrinsic functional connectivity (iFC) within and between resting-state functional networks was derived with independent component analysis (ICA). RESULTS: Increased iFC between visual and sensorimotor networks was found in young children with ASD compared to TD participants. Within the ASD group, the degree of overconnectivity between visual and sensorimotor networks was associated with greater autism symptoms. Age-related weakening of the visual-auditory between-network connectivity was observed in the ASD but not the TD group. CONCLUSIONS: Taken together, these results provide evidence for disrupted functional network maturation and differentiation, particularly involving visual and sensorimotor networks, during the first years of life in ASD. The observed pattern of greater visual-sensorimotor between-network connectivity associated with poorer clinical outcomes suggests that disruptions in multisensory brain circuitry may play a critical role for early development of behavioral skills and autism symptomatology in young children with ASD. En ligne : http://dx.doi.org/10.1111/jcpp.13268 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440 Editorial: Far from idle: Four ways in which growing knowledge of the ‘resting’ brain is transforming our understanding of the causes of childhood disorder / Edmund J. S. SONUGA-BARKE in Journal of Child Psychology and Psychiatry, 55-12 (December 2014)
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Titre : Editorial: Far from idle: Four ways in which growing knowledge of the ‘resting’ brain is transforming our understanding of the causes of childhood disorder Type de document : Texte imprimé et/ou numérique Auteurs : Edmund J. S. SONUGA-BARKE, Auteur Article en page(s) : p.1297-1299 Langues : Anglais (eng) Mots-clés : cognitive neuroscience childhood mental disorders resting brain connectivity default mode activity brain networks brain organisation Index. décimale : PER Périodiques Résumé : Historians of science continue to debate the importance of individual inspiration and personal creativity as fuel in the engine of scientific progress. While true that, in general, scientific knowledge advances cautiously by careful experimentation, painstaking observation and the gradual accumulation of evidence occasionally a field of enquiry can be revolutionised by a single, perhaps simple, yet inspired and profound insight. Such breakthroughs are most likely to occur when an individual moves outside the intellectual tramlines that normally constrain scientific thinking, leaving them able to look at old evidence in new and original ways. The reception of such original insights by the research community varies considerably, of course. Some insights may be ‘too original’ – a step too far in what is normally an incremental journey of discovery. Some ideas, enthusiastically accepted initially, may burn out before making any real impression. Other ideas revolutionize a field – producing a cascade of hypotheses and lines of enquiry that lead to new discoveries which permanently change the scientific landscape. The issue of scientific creativity was very much in my mind when reading through the papers slated to appear in the current journal number. One article in particular, by Pannekoeke and colleagues on intrinsic brain organisation in depressed adolescents, initiated a chain of thought that led me to my focus for this editorial. A development that provides perhaps the most compelling recent example of the transformative power of individual inspiration in the field of cognitive neuroscience – a development which is also beginning to have profound implications for models of childhood mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12359 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=243
in Journal of Child Psychology and Psychiatry > 55-12 (December 2014) . - p.1297-1299[article] Editorial: Far from idle: Four ways in which growing knowledge of the ‘resting’ brain is transforming our understanding of the causes of childhood disorder [Texte imprimé et/ou numérique] / Edmund J. S. SONUGA-BARKE, Auteur . - p.1297-1299.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 55-12 (December 2014) . - p.1297-1299
Mots-clés : cognitive neuroscience childhood mental disorders resting brain connectivity default mode activity brain networks brain organisation Index. décimale : PER Périodiques Résumé : Historians of science continue to debate the importance of individual inspiration and personal creativity as fuel in the engine of scientific progress. While true that, in general, scientific knowledge advances cautiously by careful experimentation, painstaking observation and the gradual accumulation of evidence occasionally a field of enquiry can be revolutionised by a single, perhaps simple, yet inspired and profound insight. Such breakthroughs are most likely to occur when an individual moves outside the intellectual tramlines that normally constrain scientific thinking, leaving them able to look at old evidence in new and original ways. The reception of such original insights by the research community varies considerably, of course. Some insights may be ‘too original’ – a step too far in what is normally an incremental journey of discovery. Some ideas, enthusiastically accepted initially, may burn out before making any real impression. Other ideas revolutionize a field – producing a cascade of hypotheses and lines of enquiry that lead to new discoveries which permanently change the scientific landscape. The issue of scientific creativity was very much in my mind when reading through the papers slated to appear in the current journal number. One article in particular, by Pannekoeke and colleagues on intrinsic brain organisation in depressed adolescents, initiated a chain of thought that led me to my focus for this editorial. A development that provides perhaps the most compelling recent example of the transformative power of individual inspiration in the field of cognitive neuroscience – a development which is also beginning to have profound implications for models of childhood mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12359 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=243 Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective / Rajpreet CHAHAL in Journal of Child Psychology and Psychiatry, 61-12 (December 2020)
[article]
Titre : Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective Type de document : Texte imprimé et/ou numérique Auteurs : Rajpreet CHAHAL, Auteur ; Ian H. GOTLIB, Auteur ; Amanda E. GUYER, Auteur Article en page(s) : p.1282-1298 Langues : Anglais (eng) Mots-clés : Depression adolescence brain networks connectivity heterogeneity precision mental health Index. décimale : PER Périodiques Résumé : BACKGROUND: Adolescence is a period of high risk for the onset of depression, characterized by variability in symptoms, severity, and course. During adolescence, the neurocircuitry implicated in depression continues to mature, suggesting that it is an important period for intervention. Reflecting the recent emergence of 'precision mental health' - a person-centered approach to identifying, preventing, and treating psychopathology - researchers have begun to document associations between heterogeneity in features of depression and individual differences in brain circuitry, most frequently in resting-state functional connectivity (RSFC). METHODS: In this review, we present emerging work examining pre- and post-treatment measures of network connectivity in depressed adolescents; these studies reveal potential intervention-specific neural markers of treatment efficacy. We also review findings from studies examining associations between network connectivity and both types of depressive symptoms and response to treatment in adults, and indicate how this work can be extended to depressed adolescents. Finally, we offer recommendations for research that we believe will advance the science of precision mental health of adolescence. RESULTS: Nascent studies suggest that linking RSFC-based pathophysiological variation with effects of different types of treatment and changes in mood following specific interventions will strengthen predictions of prognosis and treatment response. Studies with larger sample sizes and direct comparisons of treatments are required to determine whether RSFC patterns are reliable neuromarkers of treatment response for depressed adolescents. Although we are not yet at the point of using RSFC to guide clinical decision-making, findings from research examining the stability and reliability of RSFC point to a favorable future for network-based clinical phenotyping. CONCLUSIONS: Delineating the correspondence between specific clinical characteristics of depression (e.g., symptoms, severity, and treatment response) and patterns of network-based connectivity will facilitate the development of more tailored and effective approaches to the assessment, prevention, and treatment of depression in adolescents. En ligne : http://dx.doi.org/10.1111/jcpp.13250 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1282-1298[article] Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective [Texte imprimé et/ou numérique] / Rajpreet CHAHAL, Auteur ; Ian H. GOTLIB, Auteur ; Amanda E. GUYER, Auteur . - p.1282-1298.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1282-1298
Mots-clés : Depression adolescence brain networks connectivity heterogeneity precision mental health Index. décimale : PER Périodiques Résumé : BACKGROUND: Adolescence is a period of high risk for the onset of depression, characterized by variability in symptoms, severity, and course. During adolescence, the neurocircuitry implicated in depression continues to mature, suggesting that it is an important period for intervention. Reflecting the recent emergence of 'precision mental health' - a person-centered approach to identifying, preventing, and treating psychopathology - researchers have begun to document associations between heterogeneity in features of depression and individual differences in brain circuitry, most frequently in resting-state functional connectivity (RSFC). METHODS: In this review, we present emerging work examining pre- and post-treatment measures of network connectivity in depressed adolescents; these studies reveal potential intervention-specific neural markers of treatment efficacy. We also review findings from studies examining associations between network connectivity and both types of depressive symptoms and response to treatment in adults, and indicate how this work can be extended to depressed adolescents. Finally, we offer recommendations for research that we believe will advance the science of precision mental health of adolescence. RESULTS: Nascent studies suggest that linking RSFC-based pathophysiological variation with effects of different types of treatment and changes in mood following specific interventions will strengthen predictions of prognosis and treatment response. Studies with larger sample sizes and direct comparisons of treatments are required to determine whether RSFC patterns are reliable neuromarkers of treatment response for depressed adolescents. Although we are not yet at the point of using RSFC to guide clinical decision-making, findings from research examining the stability and reliability of RSFC point to a favorable future for network-based clinical phenotyping. CONCLUSIONS: Delineating the correspondence between specific clinical characteristics of depression (e.g., symptoms, severity, and treatment response) and patterns of network-based connectivity will facilitate the development of more tailored and effective approaches to the assessment, prevention, and treatment of depression in adolescents. En ligne : http://dx.doi.org/10.1111/jcpp.13250 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 Resilient functioning is associated with altered structural brain network topology in adolescents exposed to childhood adversity / Edward T. BULLMORE ; Raymond J. DOLAN ; Peter FONAGY ; Nadia GONZÁLEZ-GARCÍA ; Ian GOODYER ; Peter B. JONES ; Sol LIM ; Laura MORENO-LÓPEZ ; Rafael ROMERO-GARCIA ; Samantha N. SALLIE ; Maximilian SCHEUPLEIN ; Franti?ek VÁ?A ; Kirstie J. WHITAKER ; Anne-Laura VAN HARMELEN in Development and Psychopathology, 35-5 (December 2023)
[article]
Titre : Resilient functioning is associated with altered structural brain network topology in adolescents exposed to childhood adversity Type de document : Texte imprimé et/ou numérique Auteurs : Edward T. BULLMORE, Auteur ; Raymond J. DOLAN, Auteur ; Peter FONAGY, Auteur ; Nadia GONZÁLEZ-GARCÍA, Auteur ; Ian GOODYER, Auteur ; Peter B. JONES, Auteur ; Sol LIM, Auteur ; Laura MORENO-LÓPEZ, Auteur ; Rafael ROMERO-GARCIA, Auteur ; Samantha N. SALLIE, Auteur ; Maximilian SCHEUPLEIN, Auteur ; Franti?ek VÁ?A, Auteur ; Kirstie J. WHITAKER, Auteur ; Anne-Laura VAN HARMELEN, Auteur Article en page(s) : p.2253-2263 Mots-clés : adolescence brain networks childhood adversity resilience structural covariance Index. décimale : PER Périodiques Résumé : Childhood adversity is one of the strongest predictors of adolescent mental illness. Therefore, it is critical that the mechanisms that aid resilient functioning in individuals exposed to childhood adversity are better understood. Here, we examined whether resilient functioning was related to structural brain network topology. We quantified resilient functioning at the individual level as psychosocial functioning adjusted for the severity of childhood adversity in a large sample of adolescents (N = 2406, aged 14?24). Next, we examined nodal degree (the number of connections that brain regions have in a network) using brain-wide cortical thickness measures in a representative subset (N = 275) using a sliding window approach. We found that higher resilient functioning was associated with lower nodal degree of multiple regions including the dorsolateral prefrontal cortex, the medial prefrontal cortex, and the posterior superior temporal sulcus (z > 1.645). During adolescence, decreases in nodal degree are thought to reflect a normative developmental process that is part of the extensive remodeling of structural brain network topology. Prior findings in this sample showed that decreased nodal degree was associated with age, as such our findings of negative associations between nodal degree and resilient functioning may therefore potentially resemble a more mature structural network configuration in individuals with higher resilient functioning. En ligne : https://dx.doi.org/10.1017/S0954579423000901 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519
in Development and Psychopathology > 35-5 (December 2023) . - p.2253-2263[article] Resilient functioning is associated with altered structural brain network topology in adolescents exposed to childhood adversity [Texte imprimé et/ou numérique] / Edward T. BULLMORE, Auteur ; Raymond J. DOLAN, Auteur ; Peter FONAGY, Auteur ; Nadia GONZÁLEZ-GARCÍA, Auteur ; Ian GOODYER, Auteur ; Peter B. JONES, Auteur ; Sol LIM, Auteur ; Laura MORENO-LÓPEZ, Auteur ; Rafael ROMERO-GARCIA, Auteur ; Samantha N. SALLIE, Auteur ; Maximilian SCHEUPLEIN, Auteur ; Franti?ek VÁ?A, Auteur ; Kirstie J. WHITAKER, Auteur ; Anne-Laura VAN HARMELEN, Auteur . - p.2253-2263.
in Development and Psychopathology > 35-5 (December 2023) . - p.2253-2263
Mots-clés : adolescence brain networks childhood adversity resilience structural covariance Index. décimale : PER Périodiques Résumé : Childhood adversity is one of the strongest predictors of adolescent mental illness. Therefore, it is critical that the mechanisms that aid resilient functioning in individuals exposed to childhood adversity are better understood. Here, we examined whether resilient functioning was related to structural brain network topology. We quantified resilient functioning at the individual level as psychosocial functioning adjusted for the severity of childhood adversity in a large sample of adolescents (N = 2406, aged 14?24). Next, we examined nodal degree (the number of connections that brain regions have in a network) using brain-wide cortical thickness measures in a representative subset (N = 275) using a sliding window approach. We found that higher resilient functioning was associated with lower nodal degree of multiple regions including the dorsolateral prefrontal cortex, the medial prefrontal cortex, and the posterior superior temporal sulcus (z > 1.645). During adolescence, decreases in nodal degree are thought to reflect a normative developmental process that is part of the extensive remodeling of structural brain network topology. Prior findings in this sample showed that decreased nodal degree was associated with age, as such our findings of negative associations between nodal degree and resilient functioning may therefore potentially resemble a more mature structural network configuration in individuals with higher resilient functioning. En ligne : https://dx.doi.org/10.1017/S0954579423000901 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519 Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder / D. KIM in Autism Research, 14-11 (November 2021)
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