Measuring strengths and weaknesses in dimensional psychiatry / L. M. ALEXANDER in Journal of Child Psychology and Psychiatry, 61-1 (January 2020)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-1 (January 2020) . - p.40-50 Titre : Measuring strengths and weaknesses in dimensional psychiatry Type de document : Texte imprimé et/ou numérique Auteurs : L. M. ALEXANDER, Auteur ; Giovanni A. SALUM, Auteur ; J. M. SWANSON, Auteur ; M. P. MILHAM, Auteur Article en page(s) : p.40-50 Langues : Anglais (eng) Mots-clés : Questionnaires  methodology  rating scales Index. décimale : PER Périodiques Résumé : BACKGROUND: The Extended Strengths and Weaknesses Assessment of Normal Behavior (E-SWAN) reconceptualizes each diagnostic criterion for selected DSM-5 disorders as a behavior, which can range from high (strengths) to low (weaknesses). Initial development focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder. METHODS: Data were collected from 523 participants (ages 6-17). Parents completed each of the four E-SWAN scales and traditional unidirectional scales addressing the same disorders. Distributional properties, Item Response Theory Analysis (IRT), and Receiver Operating Characteristic (ROC) curves were used to assess and compare the performance of E-SWAN and traditional scales. RESULTS: In contrast to the traditional scales, which exhibited truncated distributions, all four E-SWAN scales had symmetric distributions. IRT analyses indicate the E-SWAN subscales provided reliable information about respondents throughout the population distribution; traditional scales only provided reliable information about respondents at the high end of the distribution. Predictive value for DSM-5 diagnoses was comparable to prior scales. CONCLUSIONS: E-SWAN bidirectional scales can capture the full spectrum of the population distribution of behavior underlying DSM disorders. The additional information provided can better inform examination of inter-individual variation in population studies, as well as facilitate the identification of factors related to resiliency in clinical samples. En ligne : http://dx.doi.org/10.1111/jcpp.13104 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413 [article] Measuring strengths and weaknesses in dimensional psychiatry [Texte imprimé et/ou numérique] / L. M. ALEXANDER, Auteur ; Giovanni A. SALUM, Auteur ; J. M. SWANSON, Auteur ; M. P. MILHAM, Auteur . - p.40-50. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-1 (January 2020) . - p.40-50 Mots-clés : Questionnaires  methodology  rating scales Index. décimale : PER Périodiques Résumé : BACKGROUND: The Extended Strengths and Weaknesses Assessment of Normal Behavior (E-SWAN) reconceptualizes each diagnostic criterion for selected DSM-5 disorders as a behavior, which can range from high (strengths) to low (weaknesses). Initial development focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder. METHODS: Data were collected from 523 participants (ages 6-17). Parents completed each of the four E-SWAN scales and traditional unidirectional scales addressing the same disorders. Distributional properties, Item Response Theory Analysis (IRT), and Receiver Operating Characteristic (ROC) curves were used to assess and compare the performance of E-SWAN and traditional scales. RESULTS: In contrast to the traditional scales, which exhibited truncated distributions, all four E-SWAN scales had symmetric distributions. IRT analyses indicate the E-SWAN subscales provided reliable information about respondents throughout the population distribution; traditional scales only provided reliable information about respondents at the high end of the distribution. Predictive value for DSM-5 diagnoses was comparable to prior scales. CONCLUSIONS: E-SWAN bidirectional scales can capture the full spectrum of the population distribution of behavior underlying DSM disorders. The additional information provided can better inform examination of inter-individual variation in population studies, as well as facilitate the identification of factors related to resiliency in clinical samples. En ligne : http://dx.doi.org/10.1111/jcpp.13104 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413

Network-specific sex differentiation of intrinsic brain function in males with autism / D. L. FLORIS in Molecular Autism, 9 (2018)  

Public ISBD [article]  inMolecular Autism > 9 (2018) . - 17p. Titre : Network-specific sex differentiation of intrinsic brain function in males with autism Type de document : Texte imprimé et/ou numérique Auteurs : D. L. FLORIS, Auteur ; Meng-Chuan LAI, Auteur ; T. NATH, Auteur ; M. P. MILHAM, Auteur ; Adriana DI MARTINO, Auteur Article en page(s) : 17p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Extreme Male Brain  Gender Incoherence  Resting-state fMRI  Sex differentiation  Sex mosaicism Index. décimale : PER Périodiques Résumé : Background: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit competing, models provide predictions on such neurophenotypic convergence. These two models are testable with neuroimaging. Specifically, the Extreme Male Brain (EMB) model predicts that ASD is associated with enhanced brain maleness in both males and females with ASD (i.e., a shift-towards-maleness). In contrast, the Gender Incoherence (GI) model predicts a shift-towards-maleness in females, yet a shift-towards-femaleness in males with ASD. Methods: To clarify whether either model applies to the intrinsic functional properties of the brain in males with ASD, we measured the statistical overlap between typical sex differences and ASD-related atypicalities in resting-state fMRI (R-fMRI) datasets largely available in males. Main analyses focused on two large-scale R-fMRI samples: 357 neurotypical (NT) males and 471 NT females from the 1000 Functional Connectome Project and 360 males with ASD and 403 NT males from the Autism Brain Imaging Data Exchange. Results: Across all R-fMRI metrics, results revealed coexisting, but network-specific, shift-towards-maleness and shift-towards-femaleness in males with ASD. A shift-towards-maleness mostly involved the default network, while a shift-towards-femaleness mostly occurred in the somatomotor network. Explorations of the associated cognitive processes using available cognitive ontology maps indicated that higher-order social cognitive functions corresponded to the shift-towards-maleness, while lower-order sensory motor processes corresponded to the shift-towards-femaleness. Conclusions: The present findings suggest that atypical intrinsic brain properties in males with ASD partly reflect mechanisms involved in sexual differentiation. A model based on network-dependent atypical sex mosaicism can synthesize prior competing theories on factors involved in sex differentiation in ASD. En ligne : http://dx.doi.org/10.1186/s13229-018-0192-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=354 [article] Network-specific sex differentiation of intrinsic brain function in males with autism [Texte imprimé et/ou numérique] / D. L. FLORIS, Auteur ; Meng-Chuan LAI, Auteur ; T. NATH, Auteur ; M. P. MILHAM, Auteur ; Adriana DI MARTINO, Auteur . - 17p. Langues : Anglais (eng) in Molecular Autism > 9 (2018) . - 17p. Mots-clés : Autism spectrum disorder  Extreme Male Brain  Gender Incoherence  Resting-state fMRI  Sex differentiation  Sex mosaicism Index. décimale : PER Périodiques Résumé : Background: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit competing, models provide predictions on such neurophenotypic convergence. These two models are testable with neuroimaging. Specifically, the Extreme Male Brain (EMB) model predicts that ASD is associated with enhanced brain maleness in both males and females with ASD (i.e., a shift-towards-maleness). In contrast, the Gender Incoherence (GI) model predicts a shift-towards-maleness in females, yet a shift-towards-femaleness in males with ASD. Methods: To clarify whether either model applies to the intrinsic functional properties of the brain in males with ASD, we measured the statistical overlap between typical sex differences and ASD-related atypicalities in resting-state fMRI (R-fMRI) datasets largely available in males. Main analyses focused on two large-scale R-fMRI samples: 357 neurotypical (NT) males and 471 NT females from the 1000 Functional Connectome Project and 360 males with ASD and 403 NT males from the Autism Brain Imaging Data Exchange. Results: Across all R-fMRI metrics, results revealed coexisting, but network-specific, shift-towards-maleness and shift-towards-femaleness in males with ASD. A shift-towards-maleness mostly involved the default network, while a shift-towards-femaleness mostly occurred in the somatomotor network. Explorations of the associated cognitive processes using available cognitive ontology maps indicated that higher-order social cognitive functions corresponded to the shift-towards-maleness, while lower-order sensory motor processes corresponded to the shift-towards-femaleness. Conclusions: The present findings suggest that atypical intrinsic brain properties in males with ASD partly reflect mechanisms involved in sexual differentiation. A model based on network-dependent atypical sex mosaicism can synthesize prior competing theories on factors involved in sex differentiation in ASD. En ligne : http://dx.doi.org/10.1186/s13229-018-0192-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=354

Towards robust and replicable sex differences in the intrinsic brain function of autism / D. L. FLORIS in Molecular Autism, 12 (2021)  

Public ISBD [article]  inMolecular Autism > 12 (2021) . - 19 p. Titre : Towards robust and replicable sex differences in the intrinsic brain function of autism Type de document : Texte imprimé et/ou numérique Auteurs : D. L. FLORIS, Auteur ; J. O. A. FILHO, Auteur ; Meng-Chuan LAI, Auteur ; S. GIAVASIS, Auteur ; M. OLDEHINKEL, Auteur ; M. MENNES, Auteur ; Tony CHARMAN, Auteur ; J. TILLMANN, Auteur ; G. DUMAS, Auteur ; C. ECKER, Auteur ; F. DELL'ACQUA, Auteur ; Tobias BANASCHEWSKI, Auteur ; C. MOESSNANG, Auteur ; Simon BARON-COHEN, Auteur ; S. DURSTON, Auteur ; E. LOTH, Auteur ; D. G. M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur ; M. P. MILHAM, Auteur ; Adriana DI MARTINO, Auteur Article en page(s) : 19 p. Langues : Anglais (eng) Mots-clés : Adolescent  Autistic Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Child  Female  Humans  Magnetic Resonance Imaging  Male  Sex Characteristics  Autism spectrum disorder  Replication  Resting-state functional connectivity  Robustness  Sex differences  Voxel-mirrored homotopic connectivity  Responsiveness Scale—Child Version by Organization Speciali, Italy. JKB has been a  consultant to, advisory board member of, and a speaker for Takeda/Shire, Medice,  Roche, and Servier. He is not an employee of any of these companies and not a stock  shareholder of any of these companies. He has no other financial or material  support, including expert testimony, patents, or royalties. CFB is director and  shareholder in SBGneuro Ltd. TC has received consultancy from Roche and Servier and  received book royalties from Guildford Press and Sage. DM has been a consultant to,  and advisory board member, for Roche and Servier. He is not an employee of any of  these companies, and not a stock shareholder of any of these companies. TB served in  an advisory or consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals,  Oberberg GmbH, Shire, and Infectopharm. He received conference support or speaker’s  fee by Lilly, Medice, and Shire. He received royalties from Hogrefe, Kohlhammer, CIP  Medien, Oxford University Press  the present work is unrelated to these  relationships. JT is a consultant to Roche. The remaining authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Marked sex differences in autism prevalence accentuate the need to understand the role of biological sex-related factors in autism. Efforts to unravel sex differences in the brain organization of autism have, however, been challenged by the limited availability of female data. METHODS: We addressed this gap by using a large sample of males and females with autism and neurotypical (NT) control individuals (ABIDE; Autism: 362 males, 82 females; NT: 409 males, 166 females; 7-18 years). Discovery analyses examined main effects of diagnosis, sex and their interaction across five resting-state fMRI (R-fMRI) metrics (voxel-level Z?>?3.1, cluster-level P? En ligne : http://dx.doi.org/10.1186/s13229-021-00415-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459 [article] Towards robust and replicable sex differences in the intrinsic brain function of autism [Texte imprimé et/ou numérique] / D. L. FLORIS, Auteur ; J. O. A. FILHO, Auteur ; Meng-Chuan LAI, Auteur ; S. GIAVASIS, Auteur ; M. OLDEHINKEL, Auteur ; M. MENNES, Auteur ; Tony CHARMAN, Auteur ; J. TILLMANN, Auteur ; G. DUMAS, Auteur ; C. ECKER, Auteur ; F. DELL'ACQUA, Auteur ; Tobias BANASCHEWSKI, Auteur ; C. MOESSNANG, Auteur ; Simon BARON-COHEN, Auteur ; S. DURSTON, Auteur ; E. LOTH, Auteur ; D. G. M. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Christian F. BECKMANN, Auteur ; M. P. MILHAM, Auteur ; Adriana DI MARTINO, Auteur . - 19 p. Langues : Anglais (eng) in Molecular Autism > 12 (2021) . - 19 p. Mots-clés : Adolescent  Autistic Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Child  Female  Humans  Magnetic Resonance Imaging  Male  Sex Characteristics  Autism spectrum disorder  Replication  Resting-state functional connectivity  Robustness  Sex differences  Voxel-mirrored homotopic connectivity  Responsiveness Scale—Child Version by Organization Speciali, Italy. JKB has been a  consultant to, advisory board member of, and a speaker for Takeda/Shire, Medice,  Roche, and Servier. He is not an employee of any of these companies and not a stock  shareholder of any of these companies. He has no other financial or material  support, including expert testimony, patents, or royalties. CFB is director and  shareholder in SBGneuro Ltd. TC has received consultancy from Roche and Servier and  received book royalties from Guildford Press and Sage. DM has been a consultant to,  and advisory board member, for Roche and Servier. He is not an employee of any of  these companies, and not a stock shareholder of any of these companies. TB served in  an advisory or consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals,  Oberberg GmbH, Shire, and Infectopharm. He received conference support or speaker’s  fee by Lilly, Medice, and Shire. He received royalties from Hogrefe, Kohlhammer, CIP  Medien, Oxford University Press  the present work is unrelated to these  relationships. JT is a consultant to Roche. The remaining authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Marked sex differences in autism prevalence accentuate the need to understand the role of biological sex-related factors in autism. Efforts to unravel sex differences in the brain organization of autism have, however, been challenged by the limited availability of female data. METHODS: We addressed this gap by using a large sample of males and females with autism and neurotypical (NT) control individuals (ABIDE; Autism: 362 males, 82 females; NT: 409 males, 166 females; 7-18 years). Discovery analyses examined main effects of diagnosis, sex and their interaction across five resting-state fMRI (R-fMRI) metrics (voxel-level Z?>?3.1, cluster-level P? En ligne : http://dx.doi.org/10.1186/s13229-021-00415-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459

---

1 (1 - 3 / 3)