Eye-Hand Coordination in Children with High Functioning Autism and Asperger’s Disorder Using a Gap-Overlap Paradigm / Alessandro CRIPPA in Journal of Autism and Developmental Disorders, 43-4 (April 2013)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 43-4 (April 2013) . - p.841-850 Titre : Eye-Hand Coordination in Children with High Functioning Autism and Asperger’s Disorder Using a Gap-Overlap Paradigm Type de document : Texte imprimé et/ou numérique Auteurs : Alessandro CRIPPA, Auteur ; Sara FORTI, Auteur ; Paolo PEREGO, Auteur ; Massimo MOLTENI, Auteur Article en page(s) : p.841-850 Langues : Anglais (eng) Mots-clés : Autism  Eye hand coordination  Gap effect  Oculomotor control Index. décimale : PER Périodiques Résumé : We investigated eye-hand coordination in children with autism spectrum disorders (ASD) in comparison with age-matched normally developing peers. The eye-hand correlation was measured by putting fixation latencies in relation with pointing and key pressing responses in visual detection tasks where a gap-overlap paradigm was used and compared to fixation latencies in absence of manual response. ASD patients showed less efficient eye-hand coordination, which was particularly evident when pointing towards a target was being fixated. The data of normally developing participants confirmed that manual gap effects are more likely for more complex hand movements. An important discrepancy was discovered in participants with ASD: beside normal eye gap effects, they showed no concurrent hand gap effects when pointing to targets. This result has been interpreted as a further sign of inefficient eye-hand coordination in this patient population. En ligne : http://dx.doi.org/10.1007/s10803-012-1623-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=194 [article] Eye-Hand Coordination in Children with High Functioning Autism and Asperger’s Disorder Using a Gap-Overlap Paradigm [Texte imprimé et/ou numérique] / Alessandro CRIPPA, Auteur ; Sara FORTI, Auteur ; Paolo PEREGO, Auteur ; Massimo MOLTENI, Auteur . - p.841-850. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 43-4 (April 2013) . - p.841-850 Mots-clés : Autism  Eye hand coordination  Gap effect  Oculomotor control Index. décimale : PER Périodiques Résumé : We investigated eye-hand coordination in children with autism spectrum disorders (ASD) in comparison with age-matched normally developing peers. The eye-hand correlation was measured by putting fixation latencies in relation with pointing and key pressing responses in visual detection tasks where a gap-overlap paradigm was used and compared to fixation latencies in absence of manual response. ASD patients showed less efficient eye-hand coordination, which was particularly evident when pointing towards a target was being fixated. The data of normally developing participants confirmed that manual gap effects are more likely for more complex hand movements. An important discrepancy was discovered in participants with ASD: beside normal eye gap effects, they showed no concurrent hand gap effects when pointing to targets. This result has been interpreted as a further sign of inefficient eye-hand coordination in this patient population. En ligne : http://dx.doi.org/10.1007/s10803-012-1623-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=194

Further evidence of complex motor dysfunction in drug naïve children with autism using automatic motion analysis of gait / Maria NOBILE in Autism, 15-3 (May 2011)  

Public ISBD [article]  inAutism > 15-3 (May 2011) . - p.263-283 Titre : Further evidence of complex motor dysfunction in drug naïve children with autism using automatic motion analysis of gait Type de document : Texte imprimé et/ou numérique Auteurs : Maria NOBILE, Auteur ; Paolo PEREGO, Auteur ; Luigi PICCININI, Auteur ; Elisa MANI, Auteur ; Agnese ROSSI, Auteur ; Monica BELLINA, Auteur ; Massimo MOLTENI, Auteur Année de publication : 2011 Article en page(s) : p.263-283 Langues : Anglais (eng) Mots-clés : autism  gait analysis  jerk  locomotion system  motor dysfunction Index. décimale : PER Périodiques Résumé : In order to increase the knowledge of locomotor disturbances in children with autism, and of the mechanism underlying them, the objective of this exploratory study was to reliably and quantitatively evaluate linear gait parameters (spatio-temporal and kinematic parameters), upper body kinematic parameters, walk orientation and smoothness using an automatic motion analyser (ELITE systems) in drug naïve children with Autistic Disorder (AD) and healthy controls. The children with AD showed a stiffer gait in which the usual fluidity of walking was lost, trunk postural abnormalities, highly significant difficulties to maintain a straight line and a marked loss of smoothness (increase of jerk index), compared to the healthy controls. As a whole, these data suggest a complex motor dysfunction involving both the cortical and the subcortical area or, maybe, a possible deficit in the integration of sensory-motor information within motor networks (i.e., anomalous connections within the fronto-cerebello-thalamo-frontal network). Although the underlying neural structures involved remain to be better defined, these data may contribute to highlighting the central role of motor impairment in autism and suggest the usefulness of taking into account motor difficulties when developing new diagnostic and rehabilitation programs. En ligne : http://dx.doi.org/10.1177/1362361309356929 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=130 [article] Further evidence of complex motor dysfunction in drug naïve children with autism using automatic motion analysis of gait [Texte imprimé et/ou numérique] / Maria NOBILE, Auteur ; Paolo PEREGO, Auteur ; Luigi PICCININI, Auteur ; Elisa MANI, Auteur ; Agnese ROSSI, Auteur ; Monica BELLINA, Auteur ; Massimo MOLTENI, Auteur . - 2011 . - p.263-283. Langues : Anglais (eng) in Autism > 15-3 (May 2011) . - p.263-283 Mots-clés : autism  gait analysis  jerk  locomotion system  motor dysfunction Index. décimale : PER Périodiques Résumé : In order to increase the knowledge of locomotor disturbances in children with autism, and of the mechanism underlying them, the objective of this exploratory study was to reliably and quantitatively evaluate linear gait parameters (spatio-temporal and kinematic parameters), upper body kinematic parameters, walk orientation and smoothness using an automatic motion analyser (ELITE systems) in drug naïve children with Autistic Disorder (AD) and healthy controls. The children with AD showed a stiffer gait in which the usual fluidity of walking was lost, trunk postural abnormalities, highly significant difficulties to maintain a straight line and a marked loss of smoothness (increase of jerk index), compared to the healthy controls. As a whole, these data suggest a complex motor dysfunction involving both the cortical and the subcortical area or, maybe, a possible deficit in the integration of sensory-motor information within motor networks (i.e., anomalous connections within the fronto-cerebello-thalamo-frontal network). Although the underlying neural structures involved remain to be better defined, these data may contribute to highlighting the central role of motor impairment in autism and suggest the usefulness of taking into account motor difficulties when developing new diagnostic and rehabilitation programs. En ligne : http://dx.doi.org/10.1177/1362361309356929 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=130

Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities / Alessandro CRIPPA in Journal of Autism and Developmental Disorders, 45-7 (July 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.2146-2156 Titre : Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities Type de document : Texte imprimé et/ou numérique Auteurs : Alessandro CRIPPA, Auteur ; Christian SALVATORE, Auteur ; Paolo PEREGO, Auteur ; Sara FORTI, Auteur ; Maria NOBILE, Auteur ; Massimo MOLTENI, Auteur ; Isabella CASTIGLIONI, Auteur Année de publication : 2015 Article en page(s) : p.2146-2156 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Kinematics  Classification  Machine learning  Support vector machines Index. décimale : PER Périodiques Résumé : In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2–4. To answer this question, we developed a supervised machine-learning method to correctly discriminate 15 preschool children with ASD from 15 typically developing children by means of kinematic analysis of a simple reach-to-drop task. Our method reached a maximum classification accuracy of 96.7 % with seven features related to the goal-oriented part of the movement. These preliminary findings offer insight into a possible motor signature of ASD that may be potentially useful in identifying a well-defined subset of patients, reducing the clinical heterogeneity within the broad behavioral phenotype. En ligne : http://dx.doi.org/10.1007/s10803-015-2379-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261 [article] Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities [Texte imprimé et/ou numérique] / Alessandro CRIPPA, Auteur ; Christian SALVATORE, Auteur ; Paolo PEREGO, Auteur ; Sara FORTI, Auteur ; Maria NOBILE, Auteur ; Massimo MOLTENI, Auteur ; Isabella CASTIGLIONI, Auteur . - 2015 . - p.2146-2156. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.2146-2156 Mots-clés : Autism spectrum disorder  Kinematics  Classification  Machine learning  Support vector machines Index. décimale : PER Périodiques Résumé : In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2–4. To answer this question, we developed a supervised machine-learning method to correctly discriminate 15 preschool children with ASD from 15 typically developing children by means of kinematic analysis of a simple reach-to-drop task. Our method reached a maximum classification accuracy of 96.7 % with seven features related to the goal-oriented part of the movement. These preliminary findings offer insight into a possible motor signature of ASD that may be potentially useful in identifying a well-defined subset of patients, reducing the clinical heterogeneity within the broad behavioral phenotype. En ligne : http://dx.doi.org/10.1007/s10803-015-2379-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261

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