Annual Research Review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies / Guillermo HORGA 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.659-680 Titre : Annual Research Review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies Type de document : Texte imprimé et/ou numérique Auteurs : Guillermo HORGA, Auteur ; Tejal KAUR, Auteur ; Bradley S. PETERSON, Auteur Année de publication : 2014 Article en page(s) : p.659-680 Langues : Anglais (eng) Mots-clés : Brain imaging  magnetic resonance imaging  study design  psychopathology  development Index. décimale : PER Périodiques Résumé : Background The widespread use of Magnetic Resonance Imaging (MRI) in the study of child- and adult-onset developmental psychopathologies has generated many investigations that have measured brain structure and function in vivo throughout development, often generating great excitement over our ability to visualize the living, developing brain using the attractive, even seductive images that these studies produce. Often lost in this excitement is the recognition that brain imaging generally, and MRI in particular, is simply a technology, one that does not fundamentally differ from any other technology, be it a blood test, a genotyping assay, a biochemical assay, or behavioral test. No technology alone can generate valid scientific findings. Rather, it is only technology coupled with a strong experimental design that can generate valid and reproducible findings that lead to new insights into the mechanisms of disease and therapeutic response. Methods In this review we discuss selected studies to illustrate the most common and important limitations of MRI study designs as most commonly implemented thus far, as well as the misunderstanding that the interpretations of findings from those studies can create for our theories of developmental psychopathologies. Results Common limitations of MRI study designs are in large part responsible thus far for the generally poor reproducibility of findings across studies, poor generalizability to the larger population, failure to identify developmental trajectories, inability to distinguish causes from effects of illness, and poor ability to infer causal mechanisms in most MRI studies of developmental psychopathologies. For each of these limitations in study design and the difficulties they entail for the interpretation of findings, we discuss various approaches that numerous laboratories are now taking to address those difficulties, which have in common the yoking of brain imaging technologies to studies with inherently stronger designs that permit more valid and more powerful causal inferences. Those study designs include epidemiological, longitudinal, high-risk, clinical trials, and multimodal imaging studies. Conclusions We highlight several studies that have yoked brain imaging technologies to these stronger designs to illustrate how doing so can aid our understanding of disease mechanisms and in the foreseeable future can improve clinical diagnosis, prevention, and treatment planning for developmental psychopathologies. En ligne : http://dx.doi.org/10.1111/jcpp.12185 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=234 [article] Annual Research Review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies [Texte imprimé et/ou numérique] / Guillermo HORGA, Auteur ; Tejal KAUR, Auteur ; Bradley S. PETERSON, Auteur . - 2014 . - p.659-680. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 55-6 (June 2014) . - p.659-680 Mots-clés : Brain imaging  magnetic resonance imaging  study design  psychopathology  development Index. décimale : PER Périodiques Résumé : Background The widespread use of Magnetic Resonance Imaging (MRI) in the study of child- and adult-onset developmental psychopathologies has generated many investigations that have measured brain structure and function in vivo throughout development, often generating great excitement over our ability to visualize the living, developing brain using the attractive, even seductive images that these studies produce. Often lost in this excitement is the recognition that brain imaging generally, and MRI in particular, is simply a technology, one that does not fundamentally differ from any other technology, be it a blood test, a genotyping assay, a biochemical assay, or behavioral test. No technology alone can generate valid scientific findings. Rather, it is only technology coupled with a strong experimental design that can generate valid and reproducible findings that lead to new insights into the mechanisms of disease and therapeutic response. Methods In this review we discuss selected studies to illustrate the most common and important limitations of MRI study designs as most commonly implemented thus far, as well as the misunderstanding that the interpretations of findings from those studies can create for our theories of developmental psychopathologies. Results Common limitations of MRI study designs are in large part responsible thus far for the generally poor reproducibility of findings across studies, poor generalizability to the larger population, failure to identify developmental trajectories, inability to distinguish causes from effects of illness, and poor ability to infer causal mechanisms in most MRI studies of developmental psychopathologies. For each of these limitations in study design and the difficulties they entail for the interpretation of findings, we discuss various approaches that numerous laboratories are now taking to address those difficulties, which have in common the yoking of brain imaging technologies to studies with inherently stronger designs that permit more valid and more powerful causal inferences. Those study designs include epidemiological, longitudinal, high-risk, clinical trials, and multimodal imaging studies. Conclusions We highlight several studies that have yoked brain imaging technologies to these stronger designs to illustrate how doing so can aid our understanding of disease mechanisms and in the foreseeable future can improve clinical diagnosis, prevention, and treatment planning for developmental psychopathologies. En ligne : http://dx.doi.org/10.1111/jcpp.12185 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=234

Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders / Alexander HAUBOLD in Journal of Child Psychology and Psychiatry, 53-5 (May 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.519-535 Titre : Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Alexander HAUBOLD, Auteur ; Bradley S. PETERSON, Auteur ; Ravi BANSAL, Auteur Année de publication : 2012 Article en page(s) : p.519-535 Langues : Anglais (eng) Mots-clés : Machine learning  brain morphometry  automated diagnosis  cortical thickness  psychiatric disorders  cross validationsupport vector machines Index. décimale : PER Périodiques Résumé : Brain morphometry in recent decades has increased our understanding of the neural bases of psychiatric disorders by localizing anatomical disturbances to specific nuclei and subnuclei of the brain. At least some of these disturbances precede the overt expression of clinical symptoms and possibly are endophenotypes that could be used to diagnose an individual accurately as having a specific psychiatric disorder. More accurate diagnoses could significantly reduce the emotional and financial burden of disease by aiding clinicians in implementing appropriate treatments earlier and in tailoring treatment to the individual needs. Several methods, especially those based on machine learning, have been proposed that use anatomical brain measures and gold-standard diagnoses of participants to learn decision rules that classify a person automatically as having one disorder rather than another. We review the general principles and procedures for machine learning, particularly as applied to diagnostic classification, and then review the procedures that have thus far attempted to diagnose psychiatric illnesses automatically using anatomical measures of the brain. We discuss the strengths and limitations of extant procedures and note that the sensitivity and specificity of these procedures in their most successful implementations have approximated 90%. Although these methods have not yet been applied within clinical settings, they provide strong evidence that individual patients can be diagnosed accurately using the spatial pattern of disturbances across the brain. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02539.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154 [article] Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders [Texte imprimé et/ou numérique] / Alexander HAUBOLD, Auteur ; Bradley S. PETERSON, Auteur ; Ravi BANSAL, Auteur . - 2012 . - p.519-535. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.519-535 Mots-clés : Machine learning  brain morphometry  automated diagnosis  cortical thickness  psychiatric disorders  cross validationsupport vector machines Index. décimale : PER Périodiques Résumé : Brain morphometry in recent decades has increased our understanding of the neural bases of psychiatric disorders by localizing anatomical disturbances to specific nuclei and subnuclei of the brain. At least some of these disturbances precede the overt expression of clinical symptoms and possibly are endophenotypes that could be used to diagnose an individual accurately as having a specific psychiatric disorder. More accurate diagnoses could significantly reduce the emotional and financial burden of disease by aiding clinicians in implementing appropriate treatments earlier and in tailoring treatment to the individual needs. Several methods, especially those based on machine learning, have been proposed that use anatomical brain measures and gold-standard diagnoses of participants to learn decision rules that classify a person automatically as having one disorder rather than another. We review the general principles and procedures for machine learning, particularly as applied to diagnostic classification, and then review the procedures that have thus far attempted to diagnose psychiatric illnesses automatically using anatomical measures of the brain. We discuss the strengths and limitations of extant procedures and note that the sensitivity and specificity of these procedures in their most successful implementations have approximated 90%. Although these methods have not yet been applied within clinical settings, they provide strong evidence that individual patients can be diagnosed accurately using the spatial pattern of disturbances across the brain. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02539.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154

Annual Research Review: The neurobehavioral development of multiple memory systems – implications for childhood and adolescent psychiatric disorders / Jarid GOODMAN 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.582-610 Titre : Annual Research Review: The neurobehavioral development of multiple memory systems – implications for childhood and adolescent psychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Jarid GOODMAN, Auteur ; Rachel MARSH, Auteur ; Bradley S. PETERSON, Auteur ; Mark G. PACKARD, Auteur Année de publication : 2014 Article en page(s) : p.582-610 Langues : Anglais (eng) Mots-clés : Learning  memory  neuropsychiatry  psychopathologies  hippocampus  striatum  basal ganglia  anxiety  stress Index. décimale : PER Périodiques Résumé : Extensive evidence indicates that mammalian memory is organized into multiple brains systems, including a ‘cognitive’ memory system that depends on the hippocampus and a stimulus-response ‘habit’ memory system that depends on the dorsolateral striatum. Dorsal striatal-dependent habit memory may in part influence the development and expression of some human psychopathologies, particularly those characterized by strong habit-like behavioral features. The present review considers this hypothesis as it pertains to psychopathologies that typically emerge during childhood and adolescence. These disorders include Tourette syndrome, attention-deficit/hyperactivity disorder, obsessive–compulsive disorder, eating disorders, and autism spectrum disorders. Human and nonhuman animal research shows that the typical development of memory systems comprises the early maturation of striatal-dependent habit memory and the relatively late maturation of hippocampal-dependent cognitive memory. We speculate that the differing rates of development of these memory systems may in part contribute to the early emergence of habit-like symptoms in childhood and adolescence. In addition, abnormalities in hippocampal and striatal brain regions have been observed consistently in youth with these disorders, suggesting that the aberrant development of memory systems may also contribute to the emergence of habit-like symptoms as core pathological features of these illnesses. Considering these disorders within the context of multiple memory systems may help elucidate the pathogenesis of habit-like symptoms in childhood and adolescence, and lead to novel treatments that lessen the habit-like behavioral features of these disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12169 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=234 [article] Annual Research Review: The neurobehavioral development of multiple memory systems – implications for childhood and adolescent psychiatric disorders [Texte imprimé et/ou numérique] / Jarid GOODMAN, Auteur ; Rachel MARSH, Auteur ; Bradley S. PETERSON, Auteur ; Mark G. PACKARD, Auteur . - 2014 . - p.582-610. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 55-6 (June 2014) . - p.582-610 Mots-clés : Learning  memory  neuropsychiatry  psychopathologies  hippocampus  striatum  basal ganglia  anxiety  stress Index. décimale : PER Périodiques Résumé : Extensive evidence indicates that mammalian memory is organized into multiple brains systems, including a ‘cognitive’ memory system that depends on the hippocampus and a stimulus-response ‘habit’ memory system that depends on the dorsolateral striatum. Dorsal striatal-dependent habit memory may in part influence the development and expression of some human psychopathologies, particularly those characterized by strong habit-like behavioral features. The present review considers this hypothesis as it pertains to psychopathologies that typically emerge during childhood and adolescence. These disorders include Tourette syndrome, attention-deficit/hyperactivity disorder, obsessive–compulsive disorder, eating disorders, and autism spectrum disorders. Human and nonhuman animal research shows that the typical development of memory systems comprises the early maturation of striatal-dependent habit memory and the relatively late maturation of hippocampal-dependent cognitive memory. We speculate that the differing rates of development of these memory systems may in part contribute to the early emergence of habit-like symptoms in childhood and adolescence. In addition, abnormalities in hippocampal and striatal brain regions have been observed consistently in youth with these disorders, suggesting that the aberrant development of memory systems may also contribute to the emergence of habit-like symptoms as core pathological features of these illnesses. Considering these disorders within the context of multiple memory systems may help elucidate the pathogenesis of habit-like symptoms in childhood and adolescence, and lead to novel treatments that lessen the habit-like behavioral features of these disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12169 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=234

Associations between childhood maltreatment, poor sleep, and prenatal distress in pregnant adolescents / Sophie FOSS in Development and Psychopathology, 34-3 (August 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-3 (August 2022) . - p.764-773 Titre : Associations between childhood maltreatment, poor sleep, and prenatal distress in pregnant adolescents Type de document : Texte imprimé et/ou numérique Auteurs : Sophie FOSS, Auteur ; Hanna C. GUSTAFSSON, Auteur ; Obianuju O. BERRY, Auteur ; Alison E. HIPWELL, Auteur ; Elizabeth A. WERNER, Auteur ; Bradley S. PETERSON, Auteur ; Catherine MONK, Auteur Article en page(s) : p.764-773 Langues : Anglais (eng) Mots-clés : adolescent pregnancy  childhood maltreatment  distress  sleep Index. décimale : PER Périodiques Résumé : Childhood maltreatment (CM) is a known risk factor for adolescent pregnancy. Sleep disturbances and psychological distress, both common negative sequelae of CM, often co-occur during pregnancy, although directionality remains unclear. Furthermore, little is known about how CM affects sleep “distress associations during pregnancy. In pregnant adolescents, we examined: (a) whether there are significant predictive associations from CM to sleep quality and distress and (b) bidirectional influences of distress and sleep quality. Healthy pregnant adolescents (n = 204) were recruited before or during the 2nd trimester. CM was assessed at enrollment; sleep quality and distress were assessed in the 2nd and 3rd trimesters. Hypotheses were tested using path analysis. Findings revealed that CM was associated with worse 2nd trimester sleep quality and distress (Î2 = .19, p < .05 for sleep;Î2 = .30, p < .001 for distress). Higher levels of 2nd trimester distress were associated with lower 3rd trimester sleep quality (Î2 = .19, p < .05). Findings provide novel information about (a) associations from CM to prenatal mood and sleep in pregnant adolescents, and (b) sleep “distress directionality over the course of pregnancy. These results have implications for better understanding the ways in which CM potentially exerts influences later in life, and for targeting interventions to address physical and mental health during pregnancy. En ligne : http://dx.doi.org/10.1017/S0954579420002163 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484 [article] Associations between childhood maltreatment, poor sleep, and prenatal distress in pregnant adolescents [Texte imprimé et/ou numérique] / Sophie FOSS, Auteur ; Hanna C. GUSTAFSSON, Auteur ; Obianuju O. BERRY, Auteur ; Alison E. HIPWELL, Auteur ; Elizabeth A. WERNER, Auteur ; Bradley S. PETERSON, Auteur ; Catherine MONK, Auteur . - p.764-773. Langues : Anglais (eng) in Development and Psychopathology > 34-3 (August 2022) . - p.764-773 Mots-clés : adolescent pregnancy  childhood maltreatment  distress  sleep Index. décimale : PER Périodiques Résumé : Childhood maltreatment (CM) is a known risk factor for adolescent pregnancy. Sleep disturbances and psychological distress, both common negative sequelae of CM, often co-occur during pregnancy, although directionality remains unclear. Furthermore, little is known about how CM affects sleep “distress associations during pregnancy. In pregnant adolescents, we examined: (a) whether there are significant predictive associations from CM to sleep quality and distress and (b) bidirectional influences of distress and sleep quality. Healthy pregnant adolescents (n = 204) were recruited before or during the 2nd trimester. CM was assessed at enrollment; sleep quality and distress were assessed in the 2nd and 3rd trimesters. Hypotheses were tested using path analysis. Findings revealed that CM was associated with worse 2nd trimester sleep quality and distress (Î2 = .19, p < .05 for sleep;Î2 = .30, p < .001 for distress). Higher levels of 2nd trimester distress were associated with lower 3rd trimester sleep quality (Î2 = .19, p < .05). Findings provide novel information about (a) associations from CM to prenatal mood and sleep in pregnant adolescents, and (b) sleep “distress directionality over the course of pregnancy. These results have implications for better understanding the ways in which CM potentially exerts influences later in life, and for targeting interventions to address physical and mental health during pregnancy. En ligne : http://dx.doi.org/10.1017/S0954579420002163 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484

Biological Basis of Childhood Neuropsychiatric Disorders / Bradley S. PETERSON

Public ISBD in Textbook of Biological Psychiatry / Jaak PANKSEPP Titre : Biological Basis of Childhood Neuropsychiatric Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Bradley S. PETERSON, Auteur ; Jaak PANKSEPP, Auteur Année de publication : 2004 Importance : p.393–436 Langues : Anglais (eng) Index. décimale : SCI-E SCI-E - Psychiatrie Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=177 in Textbook of Biological Psychiatry / Jaak PANKSEPP Biological Basis of Childhood Neuropsychiatric Disorders [Texte imprimé et/ou numérique] / Bradley S. PETERSON, Auteur ; Jaak PANKSEPP, Auteur . - 2004 . - p.393–436. Langues : Anglais (eng) Index. décimale : SCI-E SCI-E - Psychiatrie Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=177

Exemplaires

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Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial / Yun WANG in Journal of Child Psychology and Psychiatry, 63-11 (November 2022)  

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Editorial: Data repositories, registries, and standards in the search for valid and reproducible biomarkers / Bradley S. PETERSON in Journal of Child Psychology and Psychiatry, 59-9 (September 2018)  

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Editorial: From correlations to causation: the value of preventive interventions in studying pathogenic mechanisms in childhood psychiatric disorders / Bradley S. PETERSON in Journal of Child Psychology and Psychiatry, 54-8 (August 2013)  

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Editorial: Research Domain Criteria (RDoC): a new psychiatric nosology whose time has not yet come / Bradley S. PETERSON in Journal of Child Psychology and Psychiatry, 56-7 (July 2015)  

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Longitudinal effects of prenatal exposure to air pollutants on self-regulatory capacities and social competence / Amy E. MARGOLIS in Journal of Child Psychology and Psychiatry, 57-7 (July 2016)  

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Longitudinal study of cerebral surface morphology in youth with 22q11.2 deletion syndrome, and association with positive symptoms of psychosis / Petya D. RADOEVA in Journal of Child Psychology and Psychiatry, 58-3 (March 2017)  

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Poor fine-motor and visuospatial skills predict persistence of pediatric-onset obsessive-compulsive disorder into adulthood / Michael H. BLOCH in Journal of Child Psychology and Psychiatry, 52-9 (September 2011)  

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Prenatal exposure to air pollution is associated with altered brain structure, function, and metabolism in childhood / Bradley S. PETERSON in Journal of Child Psychology and Psychiatry, 63-11 (November 2022)  

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Reduced white matter connectivity in the corpus callosum of children with Tourette syndrome / Kerstin J. PLESSEN in Journal of Child Psychology and Psychiatry, 47-10 (October 2006)  

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Semantic mapping reveals distinct patterns in descriptions of social relations in adults with autism spectrum disorder / Sean X. LUO in Autism Research, 9-8 (August 2016)  

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