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Détail de l'auteur
Auteur Li-Ching LEE |
Documents disponibles écrits par cet auteur (31)
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Serotonin Hypothesis of Autism: Implications for Selective Serotonin Reuptake Inhibitor Use during Pregnancy / Rebecca A. HARRINGTON in Autism Research, 6-3 (June 2013)
[article]
Titre : Serotonin Hypothesis of Autism: Implications for Selective Serotonin Reuptake Inhibitor Use during Pregnancy Type de document : Texte imprimé et/ou numérique Auteurs : Rebecca A. HARRINGTON, Auteur ; Li-Ching LEE, Auteur ; Rosa M. CRUM, Auteur ; Andrew W. ZIMMERMAN, Auteur ; Irva HERTZ-PICCIOTTO, Auteur Année de publication : 2013 Article en page(s) : p.149-168 Langues : Anglais (eng) Mots-clés : autism spectrum disorders serotonin selective serotonin reuptake inhibitors pregnancy Index. décimale : PER Périodiques Résumé : Serotonin, a neurotransmitter found throughout the brain and body, has long been of interest in autism. Repeated findings of elevated platelet serotonin levels in approximately one third of children with autism has led some to believe that dysfunctional serotonin signaling may be a causal mechanism for the disorder. Because serotonin is critical to fetal brain development, concerns have arisen regarding prenatal exposure to substances that manipulate serotonin levels, such as selective serotonin reuptake inhibitors (SSRIs). This review examines evidence regarding the serotonin system and autism spectrum disorders (ASD), as well as what the literature has reported thus far on developmental effects of prenatal exposure to SSRIs. Possible mechanisms by which SSRIs could affect the fetus during pregnancy and clinical implications are also discussed. Though the majority of studies conducted in infants and children suggest prenatal exposure to SSRIs does not affect neurodevelopment, interpretation must be tempered given small sample sizes. The only published study that focused on prenatal SSRI exposure and ASD found an increased risk with exposure to SSRIs, especially during the first trimester. Obstacles that will be faced in future research are isolating medication effects from maternal depression and, given the infrequent occurrence of exposure and outcome, obtaining an adequate sample size. Whether serotonin is an etiologic factor in ASD, and what it points to as a marker for subgrouping, remains unclear. Understanding how the development of ASD might be affected by prenatal factors that influence serotonin levels, such as SSRIs, could identify modifiable targets for prevention. En ligne : http://dx.doi.org/10.1002/aur.1288 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=202
in Autism Research > 6-3 (June 2013) . - p.149-168[article] Serotonin Hypothesis of Autism: Implications for Selective Serotonin Reuptake Inhibitor Use during Pregnancy [Texte imprimé et/ou numérique] / Rebecca A. HARRINGTON, Auteur ; Li-Ching LEE, Auteur ; Rosa M. CRUM, Auteur ; Andrew W. ZIMMERMAN, Auteur ; Irva HERTZ-PICCIOTTO, Auteur . - 2013 . - p.149-168.
Langues : Anglais (eng)
in Autism Research > 6-3 (June 2013) . - p.149-168
Mots-clés : autism spectrum disorders serotonin selective serotonin reuptake inhibitors pregnancy Index. décimale : PER Périodiques Résumé : Serotonin, a neurotransmitter found throughout the brain and body, has long been of interest in autism. Repeated findings of elevated platelet serotonin levels in approximately one third of children with autism has led some to believe that dysfunctional serotonin signaling may be a causal mechanism for the disorder. Because serotonin is critical to fetal brain development, concerns have arisen regarding prenatal exposure to substances that manipulate serotonin levels, such as selective serotonin reuptake inhibitors (SSRIs). This review examines evidence regarding the serotonin system and autism spectrum disorders (ASD), as well as what the literature has reported thus far on developmental effects of prenatal exposure to SSRIs. Possible mechanisms by which SSRIs could affect the fetus during pregnancy and clinical implications are also discussed. Though the majority of studies conducted in infants and children suggest prenatal exposure to SSRIs does not affect neurodevelopment, interpretation must be tempered given small sample sizes. The only published study that focused on prenatal SSRI exposure and ASD found an increased risk with exposure to SSRIs, especially during the first trimester. Obstacles that will be faced in future research are isolating medication effects from maternal depression and, given the infrequent occurrence of exposure and outcome, obtaining an adequate sample size. Whether serotonin is an etiologic factor in ASD, and what it points to as a marker for subgrouping, remains unclear. Understanding how the development of ASD might be affected by prenatal factors that influence serotonin levels, such as SSRIs, could identify modifiable targets for prevention. En ligne : http://dx.doi.org/10.1002/aur.1288 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=202 Sex differences in co-occurring conditions of children with autism spectrum disorders / Maria E. STACY in Autism, 18-8 (November 2014)
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Titre : Sex differences in co-occurring conditions of children with autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Maria E. STACY, Auteur ; Benjamin ZABLOTSKY, Auteur ; Heather A. YARGER, Auteur ; Andrew W. ZIMMERMAN, Auteur ; Barraw MAKIA, Auteur ; Li-Ching LEE, Auteur Article en page(s) : p.965-974 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder co-occurring conditions sex Index. décimale : PER Périodiques Résumé : This study investigated differences in co-occurring diagnoses made in females compared to males with autism spectrum disorders in 913 children (746 males and 167 females) living in the United States with a current autism spectrum disorder diagnosis identified via caregiver-reported data from the National Survey of Children’s Health 2007. The results indicated that overall, females had significantly fewer reported autism spectrum disorder co-occurring conditions than males. Females, compared to males, with a current autism spectrum disorder diagnosis had lower rates of past learning disorder, current mild learning disorder, and past anxiety diagnoses. Females with a current autism spectrum disorder diagnosis were more likely than males to have been diagnosed with a speech problem in the past, while males with a current autism spectrum disorder diagnosis were more likely than females to have a current diagnosis of a mild learning disability and a past diagnosis of learning disability. In addition, males with a current autism spectrum disorder diagnosis were more likely than females to have two or more co-occurring diagnoses. These findings provide insight into trends in sex differences in autism spectrum disorder co-occurring conditions. En ligne : http://dx.doi.org/10.1177/1362361313505719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=242
in Autism > 18-8 (November 2014) . - p.965-974[article] Sex differences in co-occurring conditions of children with autism spectrum disorders [Texte imprimé et/ou numérique] / Maria E. STACY, Auteur ; Benjamin ZABLOTSKY, Auteur ; Heather A. YARGER, Auteur ; Andrew W. ZIMMERMAN, Auteur ; Barraw MAKIA, Auteur ; Li-Ching LEE, Auteur . - p.965-974.
Langues : Anglais (eng)
in Autism > 18-8 (November 2014) . - p.965-974
Mots-clés : Autism spectrum disorder co-occurring conditions sex Index. décimale : PER Périodiques Résumé : This study investigated differences in co-occurring diagnoses made in females compared to males with autism spectrum disorders in 913 children (746 males and 167 females) living in the United States with a current autism spectrum disorder diagnosis identified via caregiver-reported data from the National Survey of Children’s Health 2007. The results indicated that overall, females had significantly fewer reported autism spectrum disorder co-occurring conditions than males. Females, compared to males, with a current autism spectrum disorder diagnosis had lower rates of past learning disorder, current mild learning disorder, and past anxiety diagnoses. Females with a current autism spectrum disorder diagnosis were more likely than males to have been diagnosed with a speech problem in the past, while males with a current autism spectrum disorder diagnosis were more likely than females to have a current diagnosis of a mild learning disability and a past diagnosis of learning disability. In addition, males with a current autism spectrum disorder diagnosis were more likely than females to have two or more co-occurring diagnoses. These findings provide insight into trends in sex differences in autism spectrum disorder co-occurring conditions. En ligne : http://dx.doi.org/10.1177/1362361313505719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=242 The role of intellectual disability with autism spectrum disorder and the documented cooccurring conditions: A population-based study / Semra ETYEMEZ in Autism Research, 15-12 (December 2022)
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Titre : The role of intellectual disability with autism spectrum disorder and the documented cooccurring conditions: A population-based study Type de document : Texte imprimé et/ou numérique Auteurs : Semra ETYEMEZ, Auteur ; Amy ESLER, Auteur ; Aniket KINI, Auteur ; Peng-Chou TSAI, Auteur ; Monica DIRIENZO, Auteur ; Matthew MAENNER, Auteur ; Li-Ching LEE, Auteur Article en page(s) : p.2399-2408 Langues : Anglais (eng) Mots-clés : Child Humans Autism Spectrum Disorder/complications/epidemiology Intellectual Disability/complications/epidemiology Prevalence Research Autistic Disorder autism spectrum disorder autistic disorder developmental disabilities intellectual disability nervous system diseases Index. décimale : PER Périodiques Résumé : Previous research has identified that patterns of cooccurring conditions (CoCs) associated with autism spectrum disorder (ASD) differ based on the presence of intellectual disability (ID). This study explored the association of documented CoCs among 8-year-old children with ASD and ID (ASD+ID, n = 2416) and ASD without ID (ASD-ID, n = 5372) identified by the Autism and Developmental Disabilities Monitoring Network, surveillance years (SYs) 2012 and 2014. After adjusting for demographic variables, record source, surveillance site, and SY, children with ASD+ID, as compared with children with ASD-ID, were more likely to have histories of nonspecific developmental delays and neurological disorders documented in their records but were less likely to have behavioral and psychiatric disorders. ID plays a key role on how children with ASD would experience other CoCs. Our results emphasize how understanding the pattern of CoCs in ASD+ID and ASD-ID can inform comprehensive and multidisciplinary approaches in assessment and management of children in order to develop targeted interventions to reduce possible CoCs or CoCs-related impairments. En ligne : http://dx.doi.org/10.1002/aur.2831 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-12 (December 2022) . - p.2399-2408[article] The role of intellectual disability with autism spectrum disorder and the documented cooccurring conditions: A population-based study [Texte imprimé et/ou numérique] / Semra ETYEMEZ, Auteur ; Amy ESLER, Auteur ; Aniket KINI, Auteur ; Peng-Chou TSAI, Auteur ; Monica DIRIENZO, Auteur ; Matthew MAENNER, Auteur ; Li-Ching LEE, Auteur . - p.2399-2408.
Langues : Anglais (eng)
in Autism Research > 15-12 (December 2022) . - p.2399-2408
Mots-clés : Child Humans Autism Spectrum Disorder/complications/epidemiology Intellectual Disability/complications/epidemiology Prevalence Research Autistic Disorder autism spectrum disorder autistic disorder developmental disabilities intellectual disability nervous system diseases Index. décimale : PER Périodiques Résumé : Previous research has identified that patterns of cooccurring conditions (CoCs) associated with autism spectrum disorder (ASD) differ based on the presence of intellectual disability (ID). This study explored the association of documented CoCs among 8-year-old children with ASD and ID (ASD+ID, n = 2416) and ASD without ID (ASD-ID, n = 5372) identified by the Autism and Developmental Disabilities Monitoring Network, surveillance years (SYs) 2012 and 2014. After adjusting for demographic variables, record source, surveillance site, and SY, children with ASD+ID, as compared with children with ASD-ID, were more likely to have histories of nonspecific developmental delays and neurological disorders documented in their records but were less likely to have behavioral and psychiatric disorders. ID plays a key role on how children with ASD would experience other CoCs. Our results emphasize how understanding the pattern of CoCs in ASD+ID and ASD-ID can inform comprehensive and multidisciplinary approaches in assessment and management of children in order to develop targeted interventions to reduce possible CoCs or CoCs-related impairments. En ligne : http://dx.doi.org/10.1002/aur.2831 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network / Diana SCHENDEL in Journal of Autism and Developmental Disorders, 42-10 (October 2012)
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Titre : The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network Type de document : Texte imprimé et/ou numérique Auteurs : Diana SCHENDEL, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Phil REED, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa D. WIGGINS, Auteur ; Julie L. DANIELS, Auteur ; Judith K. GRETHER, Auteur ; Susan E. LEVY, Auteur ; Lisa MILLER, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Jennifer A. PINTO-MARTIN, Auteur ; Cordelia ROBINSON, Auteur ; Gayle C. WINDHAM, Auteur ; Aimee A. ALEXANDER, Auteur ; Arthur S. AYLSWORTH, Auteur ; Pilar BERNAL, Auteur ; Joseph D. BONNER, Auteur ; Lisa BLASKEY, Auteur ; Chyrise BRADLEY, Auteur ; Jack COLLINS, Auteur ; Casara J. FERRETTI, Auteur ; Homayoon FARZADEGAN, Auteur ; Ellen GIARELLI, Auteur ; Marques HARVEY, Auteur ; Susan HEPBURN, Auteur ; Matthew HERR, Auteur ; Kristina KAPARICH, Auteur ; Rebecca LANDA, Auteur ; Li-Ching LEE, Auteur ; Brooke LEVENSELLER, Auteur ; Stacey MEYERER, Auteur ; Mohammad Hossein RAHBAR, Auteur ; Andria RATCHFORD, Auteur ; Ann REYNOLDS, Auteur ; Steven ROSENBERG, Auteur ; Julie RUSYNIAK, Auteur ; Stuart K. SHAPIRA, Auteur ; Karen S. SMITH, Auteur ; Margaret SOUDERS, Auteur ; Patrick Aaron THOMPSON, Auteur ; Lisa YOUNG, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur Année de publication : 2012 Article en page(s) : p.2121-2140 Langues : Anglais (eng) Mots-clés : Autism Epidemiology Study methods Risk factors Phenotype Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED), a multisite investigation addressing knowledge gaps in autism phenotype and etiology, aims to: (1) characterize the autism behavioral phenotype and associated developmental, medical, and behavioral conditions and (2) investigate genetic and environmental risks with emphasis on immunologic, hormonal, gastrointestinal, and sociodemographic characteristics. SEED uses a case–control design with population-based ascertainment of children aged 2–5 years with an autism spectrum disorder (ASD) and children in two control groups—one from the general population and one with non-ASD developmental problems. Data from parent-completed questionnaires, interviews, clinical evaluations, biospecimen sampling, and medical record abstraction focus on the prenatal and early postnatal periods. SEED is a valuable resource for testing hypotheses regarding ASD characteristics and causes. En ligne : http://dx.doi.org/10.1007/s10803-012-1461-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=180
in Journal of Autism and Developmental Disorders > 42-10 (October 2012) . - p.2121-2140[article] The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network [Texte imprimé et/ou numérique] / Diana SCHENDEL, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Phil REED, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa D. WIGGINS, Auteur ; Julie L. DANIELS, Auteur ; Judith K. GRETHER, Auteur ; Susan E. LEVY, Auteur ; Lisa MILLER, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Jennifer A. PINTO-MARTIN, Auteur ; Cordelia ROBINSON, Auteur ; Gayle C. WINDHAM, Auteur ; Aimee A. ALEXANDER, Auteur ; Arthur S. AYLSWORTH, Auteur ; Pilar BERNAL, Auteur ; Joseph D. BONNER, Auteur ; Lisa BLASKEY, Auteur ; Chyrise BRADLEY, Auteur ; Jack COLLINS, Auteur ; Casara J. FERRETTI, Auteur ; Homayoon FARZADEGAN, Auteur ; Ellen GIARELLI, Auteur ; Marques HARVEY, Auteur ; Susan HEPBURN, Auteur ; Matthew HERR, Auteur ; Kristina KAPARICH, Auteur ; Rebecca LANDA, Auteur ; Li-Ching LEE, Auteur ; Brooke LEVENSELLER, Auteur ; Stacey MEYERER, Auteur ; Mohammad Hossein RAHBAR, Auteur ; Andria RATCHFORD, Auteur ; Ann REYNOLDS, Auteur ; Steven ROSENBERG, Auteur ; Julie RUSYNIAK, Auteur ; Stuart K. SHAPIRA, Auteur ; Karen S. SMITH, Auteur ; Margaret SOUDERS, Auteur ; Patrick Aaron THOMPSON, Auteur ; Lisa YOUNG, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur . - 2012 . - p.2121-2140.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 42-10 (October 2012) . - p.2121-2140
Mots-clés : Autism Epidemiology Study methods Risk factors Phenotype Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED), a multisite investigation addressing knowledge gaps in autism phenotype and etiology, aims to: (1) characterize the autism behavioral phenotype and associated developmental, medical, and behavioral conditions and (2) investigate genetic and environmental risks with emphasis on immunologic, hormonal, gastrointestinal, and sociodemographic characteristics. SEED uses a case–control design with population-based ascertainment of children aged 2–5 years with an autism spectrum disorder (ASD) and children in two control groups—one from the general population and one with non-ASD developmental problems. Data from parent-completed questionnaires, interviews, clinical evaluations, biospecimen sampling, and medical record abstraction focus on the prenatal and early postnatal periods. SEED is a valuable resource for testing hypotheses regarding ASD characteristics and causes. En ligne : http://dx.doi.org/10.1007/s10803-012-1461-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=180 Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development / Lisa D. WIGGINS in Journal of Autism and Developmental Disorders, 45-5 (May 2015)
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Titre : Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development Type de document : Texte imprimé et/ou numérique Auteurs : Lisa D. WIGGINS, Auteur ; Ann REYNOLDS, Auteur ; Catherine E. RICE, Auteur ; Eric J. MOODY, Auteur ; Pilar BERNAL, Auteur ; Lisa BLASKEY, Auteur ; Steven A. ROSENBERG, Auteur ; Li-Ching LEE, Auteur ; Susan E. LEVY, Auteur Article en page(s) : p.1271-1280 Langues : Anglais (eng) Mots-clés : ADI-R ADOS Autism Classification Phenotypes Study methods Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED) is a multi-site case–control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome. En ligne : http://dx.doi.org/10.1007/s10803-014-2287-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1271-1280[article] Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development [Texte imprimé et/ou numérique] / Lisa D. WIGGINS, Auteur ; Ann REYNOLDS, Auteur ; Catherine E. RICE, Auteur ; Eric J. MOODY, Auteur ; Pilar BERNAL, Auteur ; Lisa BLASKEY, Auteur ; Steven A. ROSENBERG, Auteur ; Li-Ching LEE, Auteur ; Susan E. LEVY, Auteur . - p.1271-1280.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1271-1280
Mots-clés : ADI-R ADOS Autism Classification Phenotypes Study methods Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED) is a multi-site case–control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome. En ligne : http://dx.doi.org/10.1007/s10803-014-2287-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 Validation of the Autism Spectrum Screening Questionnaire, Mandarin Chinese Version (CH-ASSQ) in Beijing, China / Yan-Qing GUO in Autism, 15-6 (November 2011)
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