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Atypical Head Movement during Face-to-Face Interaction in Children with Autism Spectrum Disorder / Z. ZHAO in Autism Research, 14-6 (June 2021)
[article]
Titre : Atypical Head Movement during Face-to-Face Interaction in Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Z. ZHAO, Auteur ; Z. ZHU, Auteur ; X. ZHANG, Auteur ; H. TANG, Auteur ; J. XING, Auteur ; X. HU, Auteur ; J. LU, Auteur ; Q. PENG, Auteur ; X. QU, Auteur Article en page(s) : p.1197-1208 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder Autistic Disorder Child Fixation, Ocular Head Movements Humans Stereotyped Behavior autism biomarker eye tracking head movement stereotypy Index. décimale : PER Périodiques Résumé : The present study implemented an objective head pose tracking technique-OpenFace 2.0 to quantify the three dimensional head movement. Children with autism spectrum disorder (ASD) and typical development (TD) were engaged in a structured conversation with an interlocutress while wearing an eye tracker. We computed the head movement stereotypy with multiscale entropy analysis. In addition, the head rotation range (RR) and the amount of rotation per minute (ARPM) were calculated to quantify the extent of head movement. Results demonstrated that the ASD group had significantly higher level of movement stereotypy, RR and ARPM in all the three directions of head movement. Further analyses revealed that the extent of head movement could be significantly explained by movement stereotypy, but not by the amount of visual fixation to the interlocutress. These results demonstrated the atypical head movement dynamics in children with ASD during live interaction. It is proposed that head movement might potentially provide novel objective biomarkers of ASD. LAY SUMMARY: Our study used an objective tool to quantify head movement in children with autism. Results showed that children with autism had more stereotyped and greater head movement. We suggest that head movement tracking technique be widely used in autism research. En ligne : http://dx.doi.org/10.1002/aur.2478 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449
in Autism Research > 14-6 (June 2021) . - p.1197-1208[article] Atypical Head Movement during Face-to-Face Interaction in Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Z. ZHAO, Auteur ; Z. ZHU, Auteur ; X. ZHANG, Auteur ; H. TANG, Auteur ; J. XING, Auteur ; X. HU, Auteur ; J. LU, Auteur ; Q. PENG, Auteur ; X. QU, Auteur . - p.1197-1208.
Langues : Anglais (eng)
in Autism Research > 14-6 (June 2021) . - p.1197-1208
Mots-clés : Autism Spectrum Disorder Autistic Disorder Child Fixation, Ocular Head Movements Humans Stereotyped Behavior autism biomarker eye tracking head movement stereotypy Index. décimale : PER Périodiques Résumé : The present study implemented an objective head pose tracking technique-OpenFace 2.0 to quantify the three dimensional head movement. Children with autism spectrum disorder (ASD) and typical development (TD) were engaged in a structured conversation with an interlocutress while wearing an eye tracker. We computed the head movement stereotypy with multiscale entropy analysis. In addition, the head rotation range (RR) and the amount of rotation per minute (ARPM) were calculated to quantify the extent of head movement. Results demonstrated that the ASD group had significantly higher level of movement stereotypy, RR and ARPM in all the three directions of head movement. Further analyses revealed that the extent of head movement could be significantly explained by movement stereotypy, but not by the amount of visual fixation to the interlocutress. These results demonstrated the atypical head movement dynamics in children with ASD during live interaction. It is proposed that head movement might potentially provide novel objective biomarkers of ASD. LAY SUMMARY: Our study used an objective tool to quantify head movement in children with autism. Results showed that children with autism had more stereotyped and greater head movement. We suggest that head movement tracking technique be widely used in autism research. En ligne : http://dx.doi.org/10.1002/aur.2478 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms / Zhong ZHAO in Journal of Autism and Developmental Disorders, 52-7 (July 2022)
[article]
Titre : Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms Type de document : Texte imprimé et/ou numérique Auteurs : Zhong ZHAO, Auteur ; Zhipeng ZHU, Auteur ; Xiaobin ZHANG, Auteur ; Haiming TANG, Auteur ; Jiayi XING, Auteur ; Xinyao HU, Auteur ; Jianping LU, Auteur ; Xingda QU, Auteur Article en page(s) : p.3038-3049 Langues : Anglais (eng) Mots-clés : Algorithms Autism Spectrum Disorder/diagnosis Autistic Disorder Child Head Movements Humans Machine Learning Autism Biomarkers Diagnosis Head movement Index. décimale : PER Périodiques Résumé : Our study investigated the feasibility of using head movement features to identify individuals with autism spectrum disorder (ASD). Children with ASD and typical development (TD) were required to answer ten yes-no questions, and they were encouraged to nod/shake head while doing so. The head rotation range (RR) and the amount of rotation per minute (ARPM) in the pitch (head nodding direction), yaw (head shaking direction) and roll (lateral head inclination) directions were computed, and further fed into machine learning classifiers as the input features. The maximum classification accuracy of 92.11% was achieved with the decision tree classifier with two features (i.e., RR_Pitch and ARPM_Yaw). Our study suggests that head movement dynamics contain objective biomarkers that could identify ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05179-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Journal of Autism and Developmental Disorders > 52-7 (July 2022) . - p.3038-3049[article] Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms [Texte imprimé et/ou numérique] / Zhong ZHAO, Auteur ; Zhipeng ZHU, Auteur ; Xiaobin ZHANG, Auteur ; Haiming TANG, Auteur ; Jiayi XING, Auteur ; Xinyao HU, Auteur ; Jianping LU, Auteur ; Xingda QU, Auteur . - p.3038-3049.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-7 (July 2022) . - p.3038-3049
Mots-clés : Algorithms Autism Spectrum Disorder/diagnosis Autistic Disorder Child Head Movements Humans Machine Learning Autism Biomarkers Diagnosis Head movement Index. décimale : PER Périodiques Résumé : Our study investigated the feasibility of using head movement features to identify individuals with autism spectrum disorder (ASD). Children with ASD and typical development (TD) were required to answer ten yes-no questions, and they were encouraged to nod/shake head while doing so. The head rotation range (RR) and the amount of rotation per minute (ARPM) in the pitch (head nodding direction), yaw (head shaking direction) and roll (lateral head inclination) directions were computed, and further fed into machine learning classifiers as the input features. The maximum classification accuracy of 92.11% was achieved with the decision tree classifier with two features (i.e., RR_Pitch and ARPM_Yaw). Our study suggests that head movement dynamics contain objective biomarkers that could identify ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05179-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 Objective measurement of head movement differences in children with and without autism spectrum disorder / K. B. MARTIN in Molecular Autism, 9 (2018)
[article]
Titre : Objective measurement of head movement differences in children with and without autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : K. B. MARTIN, Auteur ; Z. HAMMAL, Auteur ; G. REN, Auteur ; Jeffrey F. COHN, Auteur ; J. CASSELL, Auteur ; M. OGIHARA, Auteur ; Jennifer C. BRITTON, Auteur ; A. GUTIERREZ, Auteur ; D. S. MESSINGER, Auteur Article en page(s) : 14p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Head movement Motor movement Social processing Index. décimale : PER Périodiques Résumé : Background: Deficits in motor movement in children with autism spectrum disorder (ASD) have typically been characterized qualitatively by human observers. Although clinicians have noted the importance of atypical head positioning (e.g. social peering and repetitive head banging) when diagnosing children with ASD, a quantitative understanding of head movement in ASD is lacking. Here, we conduct a quantitative comparison of head movement dynamics in children with and without ASD using automated, person-independent computer-vision based head tracking (Zface). Because children with ASD often exhibit preferential attention to nonsocial versus social stimuli, we investigated whether children with and without ASD differed in their head movement dynamics depending on stimulus sociality. Methods: The current study examined differences in head movement dynamics in children with (n = 21) and without ASD (n = 21). Children were video-recorded while watching a 16-min video of social and nonsocial stimuli. Three dimensions of rigid head movement-pitch (head nods), yaw (head turns), and roll (lateral head inclinations)-were tracked using Zface. The root mean square of pitch, yaw, and roll was calculated to index the magnitude of head angular displacement (quantity of head movement) and angular velocity (speed). Results: Compared with children without ASD, children with ASD exhibited greater yaw displacement, indicating greater head turning, and greater velocity of yaw and roll, indicating faster head turning and inclination. Follow-up analyses indicated that differences in head movement dynamics were specific to the social rather than the nonsocial stimulus condition. Conclusions: Head movement dynamics (displacement and velocity) were greater in children with ASD than in children without ASD, providing a quantitative foundation for previous clinical reports. Head movement differences were evident in lateral (yaw and roll) but not vertical (pitch) movement and were specific to a social rather than nonsocial condition. When presented with social stimuli, children with ASD had higher levels of head movement and moved their heads more quickly than children without ASD. Children with ASD may use head movement to modulate their perception of social scenes. En ligne : http://dx.doi.org/10.1186/s13229-018-0198-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=354
in Molecular Autism > 9 (2018) . - 14p.[article] Objective measurement of head movement differences in children with and without autism spectrum disorder [Texte imprimé et/ou numérique] / K. B. MARTIN, Auteur ; Z. HAMMAL, Auteur ; G. REN, Auteur ; Jeffrey F. COHN, Auteur ; J. CASSELL, Auteur ; M. OGIHARA, Auteur ; Jennifer C. BRITTON, Auteur ; A. GUTIERREZ, Auteur ; D. S. MESSINGER, Auteur . - 14p.
Langues : Anglais (eng)
in Molecular Autism > 9 (2018) . - 14p.
Mots-clés : Autism spectrum disorder Head movement Motor movement Social processing Index. décimale : PER Périodiques Résumé : Background: Deficits in motor movement in children with autism spectrum disorder (ASD) have typically been characterized qualitatively by human observers. Although clinicians have noted the importance of atypical head positioning (e.g. social peering and repetitive head banging) when diagnosing children with ASD, a quantitative understanding of head movement in ASD is lacking. Here, we conduct a quantitative comparison of head movement dynamics in children with and without ASD using automated, person-independent computer-vision based head tracking (Zface). Because children with ASD often exhibit preferential attention to nonsocial versus social stimuli, we investigated whether children with and without ASD differed in their head movement dynamics depending on stimulus sociality. Methods: The current study examined differences in head movement dynamics in children with (n = 21) and without ASD (n = 21). Children were video-recorded while watching a 16-min video of social and nonsocial stimuli. Three dimensions of rigid head movement-pitch (head nods), yaw (head turns), and roll (lateral head inclinations)-were tracked using Zface. The root mean square of pitch, yaw, and roll was calculated to index the magnitude of head angular displacement (quantity of head movement) and angular velocity (speed). Results: Compared with children without ASD, children with ASD exhibited greater yaw displacement, indicating greater head turning, and greater velocity of yaw and roll, indicating faster head turning and inclination. Follow-up analyses indicated that differences in head movement dynamics were specific to the social rather than the nonsocial stimulus condition. Conclusions: Head movement dynamics (displacement and velocity) were greater in children with ASD than in children without ASD, providing a quantitative foundation for previous clinical reports. Head movement differences were evident in lateral (yaw and roll) but not vertical (pitch) movement and were specific to a social rather than nonsocial condition. When presented with social stimuli, children with ASD had higher levels of head movement and moved their heads more quickly than children without ASD. Children with ASD may use head movement to modulate their perception of social scenes. En ligne : http://dx.doi.org/10.1186/s13229-018-0198-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=354