4 recherche sur le mot-clé 'stereotypic behavior'

The Effect of Tai Chi Chuan Training on Stereotypic Behavior of Children with Autism Spectrum Disorder / Roza TABESHIAN in Journal of Autism and Developmental Disorders, 52-5 (May 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-5 (May 2022) . - p.2180-2186 Titre : The Effect of Tai Chi Chuan Training on Stereotypic Behavior of Children with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Roza TABESHIAN, Auteur ; Maryam NEZAKAT-ALHOSSEINI, Auteur ; Ahmadreza MOVAHEDI, Auteur ; E. Paul ZEHR, Auteur ; Salar FARAMARZI, Auteur Article en page(s) : p.2180-2186 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/therapy  Child  Humans  Stereotyped Behavior  Tai Ji  Autism  Exercise  Stereotypic behavior  Tai Chi Chuan Index. décimale : PER Périodiques Résumé : This quasi-experimental study investigated effects of Tai Chi Chuan training on stereotypic behavior of children with autism spectrum disorder. Twenty-three participants (mean age=9.60+1.40 years) were assigned to experimental (N=12) and control (N=11) groups. The experimental group received 12 weeks of Tai Chi training and all participants had pre, post, and one-month follow-up assessments. Stereotypic behavior measured using Gilliam Autism Rating Scale 2 Scores, was significantly altered by?~ 25% in the Tai Chi Chuan group. Behavioral change was maintained at follow up since there was no significant difference between that and the posttest. In conclusion, Tai Chi Chuan training is a useful and appropriate intervention to modulate behavior in individuals with autism spectrum disorder. En ligne : http://dx.doi.org/10.1007/s10803-021-05090-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] The Effect of Tai Chi Chuan Training on Stereotypic Behavior of Children with Autism Spectrum Disorder [texte imprimé] / Roza TABESHIAN, Auteur ; Maryam NEZAKAT-ALHOSSEINI, Auteur ; Ahmadreza MOVAHEDI, Auteur ; E. Paul ZEHR, Auteur ; Salar FARAMARZI, Auteur . - p.2180-2186. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-5 (May 2022) . - p.2180-2186 Mots-clés : Autism Spectrum Disorder/therapy  Child  Humans  Stereotyped Behavior  Tai Ji  Autism  Exercise  Stereotypic behavior  Tai Chi Chuan Index. décimale : PER Périodiques Résumé : This quasi-experimental study investigated effects of Tai Chi Chuan training on stereotypic behavior of children with autism spectrum disorder. Twenty-three participants (mean age=9.60+1.40 years) were assigned to experimental (N=12) and control (N=11) groups. The experimental group received 12 weeks of Tai Chi training and all participants had pre, post, and one-month follow-up assessments. Stereotypic behavior measured using Gilliam Autism Rating Scale 2 Scores, was significantly altered by?~ 25% in the Tai Chi Chuan group. Behavioral change was maintained at follow up since there was no significant difference between that and the posttest. In conclusion, Tai Chi Chuan training is a useful and appropriate intervention to modulate behavior in individuals with autism spectrum disorder. En ligne : http://dx.doi.org/10.1007/s10803-021-05090-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Use of a Self-monitoring Application to Reduce Stereotypic Behavior in Adolescents with Autism: A Preliminary Investigation of I-Connect / Stephen A. CRUTCHFIELD in Journal of Autism and Developmental Disorders, 45-5 (May 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1146-1155 Titre : Use of a Self-monitoring Application to Reduce Stereotypic Behavior in Adolescents with Autism: A Preliminary Investigation of I-Connect Type de document : texte imprimé Auteurs : Stephen A. CRUTCHFIELD, Auteur ; Rose A. MASON, Auteur ; Angela CHAMBERS, Auteur ; Howard P. WILLS, Auteur ; Benjamin A. MASON, Auteur Article en page(s) : p.1146-1155 Langues : Anglais (eng) Mots-clés : Autism  Self-monitoring  Stereotypic behavior  Technology-based application Index. décimale : PER Périodiques Résumé : Many students with autism engage in a variety of complex stereotypic behaviors, impacting task completion and interfering with social opportunities. Self-monitoring is an intervention with empirical support for individuals with ASD to increase behavioral repertoires and decrease behaviors that are incompatible with successful outcomes. However, there is limited evidence for its utility for decreasing stereotypy, particularly for adolescents in school settings. This study evaluated the functional relationship between I-Connect, a technology-delivered self-monitoring program, and decreases in the level of stereotypy for two students with ASD in the school setting utilizing a withdrawal design with an embedded multiple baseline across participants. Both students demonstrated a marked decrease in stereotypy with the introduction of the self-monitoring application. Results and implications for practice and future research will be discussed. En ligne : http://dx.doi.org/10.1007/s10803-014-2272-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 [article] Use of a Self-monitoring Application to Reduce Stereotypic Behavior in Adolescents with Autism: A Preliminary Investigation of I-Connect [texte imprimé] / Stephen A. CRUTCHFIELD, Auteur ; Rose A. MASON, Auteur ; Angela CHAMBERS, Auteur ; Howard P. WILLS, Auteur ; Benjamin A. MASON, Auteur . - p.1146-1155. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1146-1155 Mots-clés : Autism  Self-monitoring  Stereotypic behavior  Technology-based application Index. décimale : PER Périodiques Résumé : Many students with autism engage in a variety of complex stereotypic behaviors, impacting task completion and interfering with social opportunities. Self-monitoring is an intervention with empirical support for individuals with ASD to increase behavioral repertoires and decrease behaviors that are incompatible with successful outcomes. However, there is limited evidence for its utility for decreasing stereotypy, particularly for adolescents in school settings. This study evaluated the functional relationship between I-Connect, a technology-delivered self-monitoring program, and decreases in the level of stereotypy for two students with ASD in the school setting utilizing a withdrawal design with an embedded multiple baseline across participants. Both students demonstrated a marked decrease in stereotypy with the introduction of the self-monitoring application. Results and implications for practice and future research will be discussed. En ligne : http://dx.doi.org/10.1007/s10803-014-2272-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259

Shank3 deficiency elicits autistic-like behaviors by activating p38? in hypothalamic AgRP neurons / Shanshan WU in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 14p. Titre : Shank3 deficiency elicits autistic-like behaviors by activating p38? in hypothalamic AgRP neurons Type de document : texte imprimé Auteurs : Shanshan WU, Auteur ; Jing WANG, Auteur ; Zicheng ZHANG, Auteur ; Xinchen JIN, Auteur ; Yang XU, Auteur ; Youwen SI, Auteur ; Yixiao LIANG, Auteur ; Yueping GE, Auteur ; Huidong ZHAN, Auteur ; Li PENG, Auteur ; Wenkai BI, Auteur ; Dandan LUO, Auteur ; Mengzhu LI, Auteur ; Bo MENG, Auteur ; Qingbo GUAN, Auteur ; Jiajun ZHAO, Auteur ; Ling GAO, Auteur ; Zhao HE, Auteur Article en page(s) : 14p. Langues : Anglais (eng) Mots-clés : Animals  Mice  Agouti-Related Protein/genetics/metabolism  Arcuate Nucleus of Hypothalamus/metabolism  Autistic Disorder/genetics/metabolism  Hypothalamus/metabolism  Microfilament Proteins/metabolism  Nerve Tissue Proteins/genetics/metabolism  Neurons/metabolism  Mitogen-Activated Protein Kinase 14/metabolism  AgRP  Autism  Shank3  Sociability  Stereotypic behavior  p38? Index. décimale : PER Périodiques Résumé : BACKGROUND: SH3 and multiple ankyrin repeat domains protein 3 (SHANK3) monogenic mutations or deficiency leads to excessive stereotypic behavior and impaired sociability, which frequently occur in autism cases. To date, the underlying mechanisms by which Shank3 mutation or deletion causes autism and the part of the brain in which Shank3 mutation leads to the autistic phenotypes are understudied. The hypothalamus is associated with stereotypic behavior and sociability. p38 , a mediator of inflammatory responses in the brain, has been postulated as a potential gene for certain cases of autism occurrence. However, it is unclear whether hypothalamus and p38 are involved in the development of autism caused by Shank3 mutations or deficiency. METHODS: Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and immunoblotting were used to assess alternated signaling pathways in the hypothalamus of Shank3 knockout (Shank3(-/-)) mice. Home-Cage real-time monitoring test was performed to record stereotypic behavior and three-chamber test was used to monitor the sociability of mice. Adeno-associated viruses 9 (AAV9) were used to express p38 in the arcuate nucleus (ARC) or agouti-related peptide (AgRP) neurons. D176A and F327S mutations expressed constitutively active p38 . T180A and Y182F mutations expressed inactive p38 . RESULTS: We found that Shank3 controls stereotypic behavior and sociability by regulating p38 activity in AgRP neurons. Phosphorylated p38 level in hypothalamus is significantly enhanced in Shank3(-/-) mice. Consistently, overexpression of p38 in ARC or AgRP neurons elicits excessive stereotypic behavior and impairs sociability in wild-type (WT) mice. Notably, activated p38 in AgRP neurons increases stereotypic behavior and impairs sociability. Conversely, inactivated p38 in AgRP neurons significantly ameliorates autistic behaviors of Shank3(-/-) mice. In contrast, activated p38 in pro-opiomelanocortin (POMC) neurons does not affect stereotypic behavior and sociability in mice. LIMITATIONS: We demonstrated that SHANK3 regulates the phosphorylated p38 level in the hypothalamus and inactivated p38 in AgRP neurons significantly ameliorates autistic behaviors of Shank3(-/-) mice. However, we did not clarify the biochemical mechanism of SHANK3 inhibiting p38 in AgRP neurons. CONCLUSIONS: These results demonstrate that the Shank3 deficiency caused autistic-like behaviors by activating p38 signaling in AgRP neurons, suggesting that p38 signaling in AgRP neurons is a potential therapeutic target for Shank3 mutant-related autism. En ligne : https://dx.doi.org/10.1186/s13229-024-00595-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Shank3 deficiency elicits autistic-like behaviors by activating p38? in hypothalamic AgRP neurons [texte imprimé] / Shanshan WU, Auteur ; Jing WANG, Auteur ; Zicheng ZHANG, Auteur ; Xinchen JIN, Auteur ; Yang XU, Auteur ; Youwen SI, Auteur ; Yixiao LIANG, Auteur ; Yueping GE, Auteur ; Huidong ZHAN, Auteur ; Li PENG, Auteur ; Wenkai BI, Auteur ; Dandan LUO, Auteur ; Mengzhu LI, Auteur ; Bo MENG, Auteur ; Qingbo GUAN, Auteur ; Jiajun ZHAO, Auteur ; Ling GAO, Auteur ; Zhao HE, Auteur . - 14p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 14p. Mots-clés : Animals  Mice  Agouti-Related Protein/genetics/metabolism  Arcuate Nucleus of Hypothalamus/metabolism  Autistic Disorder/genetics/metabolism  Hypothalamus/metabolism  Microfilament Proteins/metabolism  Nerve Tissue Proteins/genetics/metabolism  Neurons/metabolism  Mitogen-Activated Protein Kinase 14/metabolism  AgRP  Autism  Shank3  Sociability  Stereotypic behavior  p38? Index. décimale : PER Périodiques Résumé : BACKGROUND: SH3 and multiple ankyrin repeat domains protein 3 (SHANK3) monogenic mutations or deficiency leads to excessive stereotypic behavior and impaired sociability, which frequently occur in autism cases. To date, the underlying mechanisms by which Shank3 mutation or deletion causes autism and the part of the brain in which Shank3 mutation leads to the autistic phenotypes are understudied. The hypothalamus is associated with stereotypic behavior and sociability. p38 , a mediator of inflammatory responses in the brain, has been postulated as a potential gene for certain cases of autism occurrence. However, it is unclear whether hypothalamus and p38 are involved in the development of autism caused by Shank3 mutations or deficiency. METHODS: Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and immunoblotting were used to assess alternated signaling pathways in the hypothalamus of Shank3 knockout (Shank3(-/-)) mice. Home-Cage real-time monitoring test was performed to record stereotypic behavior and three-chamber test was used to monitor the sociability of mice. Adeno-associated viruses 9 (AAV9) were used to express p38 in the arcuate nucleus (ARC) or agouti-related peptide (AgRP) neurons. D176A and F327S mutations expressed constitutively active p38 . T180A and Y182F mutations expressed inactive p38 . RESULTS: We found that Shank3 controls stereotypic behavior and sociability by regulating p38 activity in AgRP neurons. Phosphorylated p38 level in hypothalamus is significantly enhanced in Shank3(-/-) mice. Consistently, overexpression of p38 in ARC or AgRP neurons elicits excessive stereotypic behavior and impairs sociability in wild-type (WT) mice. Notably, activated p38 in AgRP neurons increases stereotypic behavior and impairs sociability. Conversely, inactivated p38 in AgRP neurons significantly ameliorates autistic behaviors of Shank3(-/-) mice. In contrast, activated p38 in pro-opiomelanocortin (POMC) neurons does not affect stereotypic behavior and sociability in mice. LIMITATIONS: We demonstrated that SHANK3 regulates the phosphorylated p38 level in the hypothalamus and inactivated p38 in AgRP neurons significantly ameliorates autistic behaviors of Shank3(-/-) mice. However, we did not clarify the biochemical mechanism of SHANK3 inhibiting p38 in AgRP neurons. CONCLUSIONS: These results demonstrate that the Shank3 deficiency caused autistic-like behaviors by activating p38 signaling in AgRP neurons, suggesting that p38 signaling in AgRP neurons is a potential therapeutic target for Shank3 mutant-related autism. En ligne : https://dx.doi.org/10.1186/s13229-024-00595-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking / Solvejg K. KLEBER ; Leonie POLZER ; Naisan RAJI ; Janina KITZEROW-CLEVEN ; Ziyon KIM ; Simeon PLATTE ; Christine M. FREITAG ; Nico BAST in Autism Research, 18-4 (April 2025)  

Public ISBD [article]  inAutism Research > 18-4 (April 2025) . - p.833-844 Titre : Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking Type de document : texte imprimé Auteurs : Solvejg K. KLEBER, Auteur ; Leonie POLZER, Auteur ; Naisan RAJI, Auteur ; Janina KITZEROW-CLEVEN, Auteur ; Ziyon KIM, Auteur ; Simeon PLATTE, Auteur ; Christine M. FREITAG, Auteur ; Nico BAST, Auteur Article en page(s) : p.833-844 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  machine learning  mannerisms  multi-label classification  stereotypic behavior Index. décimale : PER Périodiques Résumé : ABSTRACT Mannerisms describe repetitive or unconventional body movements like arm flapping. These movements are early markers of restricted and repetitive behaviors (RRBs) in autism spectrum disorder (ASD). However, assessing mannerisms reliably is challenging. Even after extensive training in behavioral observations, inter-rater agreements for mannerism items remain insufficient. The current study used machine learning (ML) to classify mannerisms from videotaped behavioral observations in children with ASD. We developed a classification scheme for mannerisms as ground truth and applied it to videotaped behavioral observations from an early intervention study. ML was used in two steps: First, the OpenPose algorithm post hoc extracted features based on body movements in the videos. Second, a long short-term memory (LSTM) neural network classified the features in a multi-label approach to distinguish between the absence of mannerisms, flapping, jumping, and both flapping + jumping. The trained models achieved 70.2% accuracy (F1 score: 31.8%) using nested cross-validation. The analysis improves on previous videotaped ML classification studies by splitting training and test data subject-wise, highlighting its clinical applicability. The LSTM models are made publicly available for use with other video datasets. Our results show that ML-based classification of mannerisms is a promising tool for enhancing objective diagnostic methods of behavioral observations. En ligne : https://doi.org/10.1002/aur.70020 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking [texte imprimé] / Solvejg K. KLEBER, Auteur ; Leonie POLZER, Auteur ; Naisan RAJI, Auteur ; Janina KITZEROW-CLEVEN, Auteur ; Ziyon KIM, Auteur ; Simeon PLATTE, Auteur ; Christine M. FREITAG, Auteur ; Nico BAST, Auteur . - p.833-844. Langues : Anglais (eng) in Autism Research > 18-4 (April 2025) . - p.833-844 Mots-clés : autism spectrum disorder  machine learning  mannerisms  multi-label classification  stereotypic behavior Index. décimale : PER Périodiques Résumé : ABSTRACT Mannerisms describe repetitive or unconventional body movements like arm flapping. These movements are early markers of restricted and repetitive behaviors (RRBs) in autism spectrum disorder (ASD). However, assessing mannerisms reliably is challenging. Even after extensive training in behavioral observations, inter-rater agreements for mannerism items remain insufficient. The current study used machine learning (ML) to classify mannerisms from videotaped behavioral observations in children with ASD. We developed a classification scheme for mannerisms as ground truth and applied it to videotaped behavioral observations from an early intervention study. ML was used in two steps: First, the OpenPose algorithm post hoc extracted features based on body movements in the videos. Second, a long short-term memory (LSTM) neural network classified the features in a multi-label approach to distinguish between the absence of mannerisms, flapping, jumping, and both flapping + jumping. The trained models achieved 70.2% accuracy (F1 score: 31.8%) using nested cross-validation. The analysis improves on previous videotaped ML classification studies by splitting training and test data subject-wise, highlighting its clinical applicability. The LSTM models are made publicly available for use with other video datasets. Our results show that ML-based classification of mannerisms is a promising tool for enhancing objective diagnostic methods of behavioral observations. En ligne : https://doi.org/10.1002/aur.70020 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554