2 recherche sur le mot-clé 'Biomechanical Phenomena'

Differences in the production and perception of communicative kinematics in autism / James P. TRUJILLO in Autism Research, 14-12 (December 2021)  

Public ISBD [article]  inAutism Research > 14-12 (December 2021) . - p.2640-2653 Titre : Differences in the production and perception of communicative kinematics in autism Type de document : texte imprimé Auteurs : James P. TRUJILLO, Auteur ; Asli ÖZYÃœREK, Auteur ; Cornelis C. KAN, Auteur ; Irina SHEFTEL-SIMANOVA, Auteur ; Harold BEKKERING, Auteur Article en page(s) : p.2640-2653 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder  Autistic Disorder  Biomechanical Phenomena  Gestures  Humans  Perception  autism  gesture  kinematics  motion tracking  movement Index. décimale : PER Périodiques Résumé : In human communication, social intentions and meaning are often revealed in the way we move. In this study, we investigate the flexibility of human communication in terms of kinematic modulation in a clinical population, namely, autistic individuals. The aim of this study was twofold: to assess (a) whether communicatively relevant kinematic features of gestures differ between autistic and neurotypical individuals, and (b) if autistic individuals use communicative kinematic modulation to support gesture recognition. We tested autistic and neurotypical individuals on a silent gesture production task and a gesture comprehension task. We measured movement during the gesture production task using a Kinect motion tracking device in order to determine if autistic individuals differed from neurotypical individuals in their gesture kinematics. For the gesture comprehension task, we assessed whether autistic individuals used communicatively relevant kinematic cues to support recognition. This was done by using stick-light figures as stimuli and testing for a correlation between the kinematics of these videos and recognition performance. We found that (a) silent gestures produced by autistic and neurotypical individuals differ in communicatively relevant kinematic features, such as the number of meaningful holds between movements, and (b) while autistic individuals are overall unimpaired at recognizing gestures, they processed repetition and complexity, measured as the amount of submovements perceived, differently than neurotypicals do. These findings highlight how subtle aspects of neurotypical behavior can be experienced differently by autistic individuals. They further demonstrate the relationship between movement kinematics and social interaction in high-functioning autistic individuals. LAY SUMMARY: Hand gestures are an important part of how we communicate, and the way that we move when gesturing can influence how easy a gesture is to understand. We studied how autistic and typical individuals produce and recognize hand gestures, and how this relates to movement characteristics. We found that autistic individuals moved differently when gesturing compared to typical individuals. In addition, while autistic individuals were not worse at recognizing gestures, they differed from typical individuals in how they interpreted certain movement characteristics. En ligne : http://dx.doi.org/10.1002/aur.2611 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Differences in the production and perception of communicative kinematics in autism [texte imprimé] / James P. TRUJILLO, Auteur ; Asli ÖZYÃœREK, Auteur ; Cornelis C. KAN, Auteur ; Irina SHEFTEL-SIMANOVA, Auteur ; Harold BEKKERING, Auteur . - p.2640-2653. Langues : Anglais (eng) in Autism Research > 14-12 (December 2021) . - p.2640-2653 Mots-clés : Autism Spectrum Disorder  Autistic Disorder  Biomechanical Phenomena  Gestures  Humans  Perception  autism  gesture  kinematics  motion tracking  movement Index. décimale : PER Périodiques Résumé : In human communication, social intentions and meaning are often revealed in the way we move. In this study, we investigate the flexibility of human communication in terms of kinematic modulation in a clinical population, namely, autistic individuals. The aim of this study was twofold: to assess (a) whether communicatively relevant kinematic features of gestures differ between autistic and neurotypical individuals, and (b) if autistic individuals use communicative kinematic modulation to support gesture recognition. We tested autistic and neurotypical individuals on a silent gesture production task and a gesture comprehension task. We measured movement during the gesture production task using a Kinect motion tracking device in order to determine if autistic individuals differed from neurotypical individuals in their gesture kinematics. For the gesture comprehension task, we assessed whether autistic individuals used communicatively relevant kinematic cues to support recognition. This was done by using stick-light figures as stimuli and testing for a correlation between the kinematics of these videos and recognition performance. We found that (a) silent gestures produced by autistic and neurotypical individuals differ in communicatively relevant kinematic features, such as the number of meaningful holds between movements, and (b) while autistic individuals are overall unimpaired at recognizing gestures, they processed repetition and complexity, measured as the amount of submovements perceived, differently than neurotypicals do. These findings highlight how subtle aspects of neurotypical behavior can be experienced differently by autistic individuals. They further demonstrate the relationship between movement kinematics and social interaction in high-functioning autistic individuals. LAY SUMMARY: Hand gestures are an important part of how we communicate, and the way that we move when gesturing can influence how easy a gesture is to understand. We studied how autistic and typical individuals produce and recognize hand gestures, and how this relates to movement characteristics. We found that autistic individuals moved differently when gesturing compared to typical individuals. In addition, while autistic individuals were not worse at recognizing gestures, they differed from typical individuals in how they interpreted certain movement characteristics. En ligne : http://dx.doi.org/10.1002/aur.2611 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

Enhanced motor noise in an autism subtype with poor motor skills / Veronica MANDELLI in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 36p. Titre : Enhanced motor noise in an autism subtype with poor motor skills Type de document : texte imprimé Auteurs : Veronica MANDELLI, Auteur ; Isotta LANDI, Auteur ; Silvia Busti CECCARELLI, Auteur ; Massimo MOLTENI, Auteur ; Maria NOBILE, Auteur ; Alessandro D'AUSILIO, Auteur ; Luciano FADIGA, Auteur ; Alessandro CRIPPA, Auteur ; Michael V. LOMBARDO, Auteur Article en page(s) : 36p. Langues : Anglais (eng) Mots-clés : Humans  Child  Male  Female  Adolescent  Motor Skills  Autistic Disorder/physiopathology  Child, Preschool  Biomechanical Phenomena  Clustering  Kinematics  Motor  Stratification  Subtypes  competing interests to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Motor difficulties are common in many, but not all, autistic individuals. These difficulties can co-occur with other problems, such as delays in language, intellectual, and adaptive functioning. Biological mechanisms underpinning such difficulties are less well understood. Poor motor skills tend to be more common in individuals carrying highly penetrant rare genetic mutations. Such mechanisms may have downstream consequences of altering neurophysiological excitation-inhibition balance and lead to enhanced behavioral motor noise. METHODS: This study combined publicly available and in-house datasets of autistic (n = 156), typically-developing (TD, n = 149), and developmental coordination disorder (DCD, n = 23) children (age 3-16 years). Autism motor subtypes were identified based on patterns of motor abilities measured from the Movement Assessment Battery for Children 2nd edition. Stability-based relative clustering validation was used to identify autism motor subtypes and evaluate generalization accuracy in held-out data. Autism motor subtypes were tested for differences in motor noise, operationalized as the degree of dissimilarity between repeated motor kinematic trajectories recorded during a simple reach-to-drop task. RESULTS: Relatively 'high' (n = 87) versus 'low' (n = 69) autism motor subtypes could be detected and which generalize with 89% accuracy in held-out data. The relatively 'low' subtype was lower in general intellectual ability and older at age of independent walking, but did not differ in age at first words or autistic traits or symptomatology. Motor noise was considerably higher in the 'low' subtype compared to 'high' (Cohen's d = 0.77) or TD children (Cohen's d = 0.85), but similar between autism 'high' and TD children (Cohen's d = 0.08). Enhanced motor noise in the 'low' subtype was also most pronounced during the feedforward phase of reaching actions. LIMITATIONS: The sample size of this work is limited. Future work in larger samples along with independent replication is important. Motor noise was measured only on one specific motor task. Thus, a more comprehensive assessment of motor noise on many other motor tasks is needed. CONCLUSIONS: Autism can be split into at least two discrete motor subtypes that are characterized by differing levels of motor noise. This suggests that autism motor subtypes may be underpinned by different biological mechanisms. En ligne : https://dx.doi.org/10.1186/s13229-024-00618-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Enhanced motor noise in an autism subtype with poor motor skills [texte imprimé] / Veronica MANDELLI, Auteur ; Isotta LANDI, Auteur ; Silvia Busti CECCARELLI, Auteur ; Massimo MOLTENI, Auteur ; Maria NOBILE, Auteur ; Alessandro D'AUSILIO, Auteur ; Luciano FADIGA, Auteur ; Alessandro CRIPPA, Auteur ; Michael V. LOMBARDO, Auteur . - 36p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 36p. Mots-clés : Humans  Child  Male  Female  Adolescent  Motor Skills  Autistic Disorder/physiopathology  Child, Preschool  Biomechanical Phenomena  Clustering  Kinematics  Motor  Stratification  Subtypes  competing interests to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Motor difficulties are common in many, but not all, autistic individuals. These difficulties can co-occur with other problems, such as delays in language, intellectual, and adaptive functioning. Biological mechanisms underpinning such difficulties are less well understood. Poor motor skills tend to be more common in individuals carrying highly penetrant rare genetic mutations. Such mechanisms may have downstream consequences of altering neurophysiological excitation-inhibition balance and lead to enhanced behavioral motor noise. METHODS: This study combined publicly available and in-house datasets of autistic (n = 156), typically-developing (TD, n = 149), and developmental coordination disorder (DCD, n = 23) children (age 3-16 years). Autism motor subtypes were identified based on patterns of motor abilities measured from the Movement Assessment Battery for Children 2nd edition. Stability-based relative clustering validation was used to identify autism motor subtypes and evaluate generalization accuracy in held-out data. Autism motor subtypes were tested for differences in motor noise, operationalized as the degree of dissimilarity between repeated motor kinematic trajectories recorded during a simple reach-to-drop task. RESULTS: Relatively 'high' (n = 87) versus 'low' (n = 69) autism motor subtypes could be detected and which generalize with 89% accuracy in held-out data. The relatively 'low' subtype was lower in general intellectual ability and older at age of independent walking, but did not differ in age at first words or autistic traits or symptomatology. Motor noise was considerably higher in the 'low' subtype compared to 'high' (Cohen's d = 0.77) or TD children (Cohen's d = 0.85), but similar between autism 'high' and TD children (Cohen's d = 0.08). Enhanced motor noise in the 'low' subtype was also most pronounced during the feedforward phase of reaching actions. LIMITATIONS: The sample size of this work is limited. Future work in larger samples along with independent replication is important. Motor noise was measured only on one specific motor task. Thus, a more comprehensive assessment of motor noise on many other motor tasks is needed. CONCLUSIONS: Autism can be split into at least two discrete motor subtypes that are characterized by differing levels of motor noise. This suggests that autism motor subtypes may be underpinned by different biological mechanisms. En ligne : https://dx.doi.org/10.1186/s13229-024-00618-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538