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Verbal fluency in children with autism spectrum disorders: Clustering and switching strategies / Sander BEGEER in Autism, 18-8 (November 2014)
[article]
Titre : Verbal fluency in children with autism spectrum disorders: Clustering and switching strategies Type de document : Texte imprimé et/ou numérique Auteurs : Sander BEGEER, Auteur ; Marlies WIERDA, Auteur ; Anke M. SCHEEREN, Auteur ; Jan-Pieter TEUNISSE, Auteur ; Hans M. KOOT, Auteur ; Hilde M. GEURTS, Auteur Article en page(s) : p.1014-1018 Langues : Anglais (eng) Mots-clés : autism spectrum disorders clustering cognitive flexibility fluency switching Index. décimale : PER Périodiques Résumé : This study highlights differences in cognitive strategies in children and adolescents with and without autism spectrum disorders (n = 52) on a verbal fluency task (naming as many words as possible (e.g. animals) within 60 s). The ability to form clusters of words (e.g. farm animals like “cow–horse–goat”) or to switch between unrelated words (e.g. “snake” and “cat”) was analyzed using a coding method that more stringently differentiates between these strategies. Results indicated that children and adolescents with autism spectrum disorders switched less frequently, but produced slightly larger clusters than the comparison group, resulting in equal numbers of total words produced. The currently used measures of cognitive flexibility suggest atypical, but possibly equally efficient, fluency styles used by individuals with autism spectrum disorders. En ligne : http://dx.doi.org/10.1177/1362361313500381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=242
in Autism > 18-8 (November 2014) . - p.1014-1018[article] Verbal fluency in children with autism spectrum disorders: Clustering and switching strategies [Texte imprimé et/ou numérique] / Sander BEGEER, Auteur ; Marlies WIERDA, Auteur ; Anke M. SCHEEREN, Auteur ; Jan-Pieter TEUNISSE, Auteur ; Hans M. KOOT, Auteur ; Hilde M. GEURTS, Auteur . - p.1014-1018.
Langues : Anglais (eng)
in Autism > 18-8 (November 2014) . - p.1014-1018
Mots-clés : autism spectrum disorders clustering cognitive flexibility fluency switching Index. décimale : PER Périodiques Résumé : This study highlights differences in cognitive strategies in children and adolescents with and without autism spectrum disorders (n = 52) on a verbal fluency task (naming as many words as possible (e.g. animals) within 60 s). The ability to form clusters of words (e.g. farm animals like “cow–horse–goat”) or to switch between unrelated words (e.g. “snake” and “cat”) was analyzed using a coding method that more stringently differentiates between these strategies. Results indicated that children and adolescents with autism spectrum disorders switched less frequently, but produced slightly larger clusters than the comparison group, resulting in equal numbers of total words produced. The currently used measures of cognitive flexibility suggest atypical, but possibly equally efficient, fluency styles used by individuals with autism spectrum disorders. En ligne : http://dx.doi.org/10.1177/1362361313500381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=242 Deep phenotyping reveals movement phenotypes in mouse neurodevelopmental models / Ugne KLIBAITE in Molecular Autism, 13 (2022)
[article]
Titre : Deep phenotyping reveals movement phenotypes in mouse neurodevelopmental models Type de document : Texte imprimé et/ou numérique Auteurs : Ugne KLIBAITE, Auteur ; Mikhail KISLIN, Auteur ; Jessica L. VERPEUT, Auteur ; Silke BERGELER, Auteur ; Xiaoting SUN, Auteur ; Joshua W. SHAEVITZ, Auteur ; Samuel S.-H. WANG, Auteur Article en page(s) : 12 p. Langues : Anglais (eng) Mots-clés : Animals Autism Spectrum Disorder/genetics Disease Models, Animal Female Male Membrane Proteins/genetics Mice Mice, Inbred C57BL Mice, Knockout Nerve Tissue Proteins/genetics Phenotype Tuberous Sclerosis Complex 1 Protein/genetics Autism Behavior Cerebellum Clustering Mouse Pose estimation Index. décimale : PER Périodiques Résumé : BACKGROUND: Repetitive action, resistance to environmental change and fine motor disruptions are hallmarks of autism spectrum disorder (ASD) and other neurodevelopmental disorders, and vary considerably from individual to individual. In animal models, conventional behavioral phenotyping captures such fine-scale variations incompletely. Here we observed male and female C57BL/6J mice to methodically catalog adaptive movement over multiple days and examined two rodent models of developmental disorders against this dynamic baseline. We then investigated the behavioral consequences of a cerebellum-specific deletion in Tsc1 protein and a whole-brain knockout in Cntnap2 protein in mice. Both of these mutations are found in clinical conditions and have been associated with ASD. METHODS: We used advances in computer vision and deep learning, namely a generalized form of high-dimensional statistical analysis, to develop a framework for characterizing mouse movement on multiple timescales using a single popular behavioral assay, the open-field test. The pipeline takes virtual markers from pose estimation to find behavior clusters and generate wavelet signatures of behavior classes. We measured spatial and temporal habituation to a new environment across minutes and days, different types of self-grooming, locomotion and gait. RESULTS: Both Cntnap2 knockouts and L7-Tsc1 mutants showed forelimb lag during gait. L7-Tsc1 mutants and Cntnap2 knockouts showed complex defects in multi-day adaptation, lacking the tendency of wild-type mice to spend progressively more time in corners of the arena. In L7-Tsc1 mutant mice, failure to adapt took the form of maintained ambling, turning and locomotion, and an overall decrease in grooming. However, adaptation in these traits was similar between wild-type mice and Cntnap2 knockouts. L7-Tsc1 mutant and Cntnap2 knockout mouse models showed different patterns of behavioral state occupancy. LIMITATIONS: Genetic risk factors for autism are numerous, and we tested only two. Our pipeline was only done under conditions of free behavior. Testing under task or social conditions would reveal more information about behavioral dynamics and variability. CONCLUSIONS: Our automated pipeline for deep phenotyping successfully captures model-specific deviations in adaptation and movement as well as differences in the detailed structure of behavioral dynamics. The reported deficits indicate that deep phenotyping constitutes a robust set of ASD symptoms that may be considered for implementation in clinical settings as quantitative diagnosis criteria. En ligne : http://dx.doi.org/10.1186/s13229-022-00492-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Molecular Autism > 13 (2022) . - 12 p.[article] Deep phenotyping reveals movement phenotypes in mouse neurodevelopmental models [Texte imprimé et/ou numérique] / Ugne KLIBAITE, Auteur ; Mikhail KISLIN, Auteur ; Jessica L. VERPEUT, Auteur ; Silke BERGELER, Auteur ; Xiaoting SUN, Auteur ; Joshua W. SHAEVITZ, Auteur ; Samuel S.-H. WANG, Auteur . - 12 p.
Langues : Anglais (eng)
in Molecular Autism > 13 (2022) . - 12 p.
Mots-clés : Animals Autism Spectrum Disorder/genetics Disease Models, Animal Female Male Membrane Proteins/genetics Mice Mice, Inbred C57BL Mice, Knockout Nerve Tissue Proteins/genetics Phenotype Tuberous Sclerosis Complex 1 Protein/genetics Autism Behavior Cerebellum Clustering Mouse Pose estimation Index. décimale : PER Périodiques Résumé : BACKGROUND: Repetitive action, resistance to environmental change and fine motor disruptions are hallmarks of autism spectrum disorder (ASD) and other neurodevelopmental disorders, and vary considerably from individual to individual. In animal models, conventional behavioral phenotyping captures such fine-scale variations incompletely. Here we observed male and female C57BL/6J mice to methodically catalog adaptive movement over multiple days and examined two rodent models of developmental disorders against this dynamic baseline. We then investigated the behavioral consequences of a cerebellum-specific deletion in Tsc1 protein and a whole-brain knockout in Cntnap2 protein in mice. Both of these mutations are found in clinical conditions and have been associated with ASD. METHODS: We used advances in computer vision and deep learning, namely a generalized form of high-dimensional statistical analysis, to develop a framework for characterizing mouse movement on multiple timescales using a single popular behavioral assay, the open-field test. The pipeline takes virtual markers from pose estimation to find behavior clusters and generate wavelet signatures of behavior classes. We measured spatial and temporal habituation to a new environment across minutes and days, different types of self-grooming, locomotion and gait. RESULTS: Both Cntnap2 knockouts and L7-Tsc1 mutants showed forelimb lag during gait. L7-Tsc1 mutants and Cntnap2 knockouts showed complex defects in multi-day adaptation, lacking the tendency of wild-type mice to spend progressively more time in corners of the arena. In L7-Tsc1 mutant mice, failure to adapt took the form of maintained ambling, turning and locomotion, and an overall decrease in grooming. However, adaptation in these traits was similar between wild-type mice and Cntnap2 knockouts. L7-Tsc1 mutant and Cntnap2 knockout mouse models showed different patterns of behavioral state occupancy. LIMITATIONS: Genetic risk factors for autism are numerous, and we tested only two. Our pipeline was only done under conditions of free behavior. Testing under task or social conditions would reveal more information about behavioral dynamics and variability. CONCLUSIONS: Our automated pipeline for deep phenotyping successfully captures model-specific deviations in adaptation and movement as well as differences in the detailed structure of behavioral dynamics. The reported deficits indicate that deep phenotyping constitutes a robust set of ASD symptoms that may be considered for implementation in clinical settings as quantitative diagnosis criteria. En ligne : http://dx.doi.org/10.1186/s13229-022-00492-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 Finding Endophenotypes for Autism Spectrum Disorders (ASD): cDNA Microarrays and Brain Transcripts / Patrice BOURGEOIS
Titre : Finding Endophenotypes for Autism Spectrum Disorders (ASD): cDNA Microarrays and Brain Transcripts Type de document : Texte imprimé et/ou numérique Auteurs : Patrice BOURGEOIS, Auteur ; Pierre L. ROUBERTOUX, Auteur Année de publication : 2015 Importance : p.217-238 Langues : Anglais (eng) Mots-clés : cDNA microarrays Transcripts Brain Endophenotype cDNA microarray technique Oligonucleotide “probes” RNA extraction Labeling cDNA Hybridizing Reliability Clustering Gene expression Index. décimale : AUT-B AUT-B - L'Autisme - Ouvrages généraux et scientifiques Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=265 Finding Endophenotypes for Autism Spectrum Disorders (ASD): cDNA Microarrays and Brain Transcripts [Texte imprimé et/ou numérique] / Patrice BOURGEOIS, Auteur ; Pierre L. ROUBERTOUX, Auteur . - 2015 . - p.217-238.
Langues : Anglais (eng)
Mots-clés : cDNA microarrays Transcripts Brain Endophenotype cDNA microarray technique Oligonucleotide “probes” RNA extraction Labeling cDNA Hybridizing Reliability Clustering Gene expression Index. décimale : AUT-B AUT-B - L'Autisme - Ouvrages généraux et scientifiques Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=265 Exemplaires
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