ABSTRACT
Objective:To compare the differences in exploratory behaviors between infants with high-risk autism spectrum disorder (HR-ASD) and normal development (TD) infants, and to explore the relationship between exploratory behaviors and the severity of ASD symptoms.Methods:A total of 31 infants aged 6-23 months with HR-ASD in the Pediatric Clinic, the Affiliated Brain Hospital of Nanjing Medical University from January 2019 to August 2020 were retrospectively recruited in the HR-ASD group, and 37 TD infants aged from 6 to 23 months in Nanjing were selected as the TD group.The development level of the 2 groups was evaluated by Gesell development scale, and the depth and breadth of exploratory behaviors were measured in free play.Autism Diagnostic Observation Schedule (ADOS) was used to evaluate the severity of ASD symptoms in HR-ASD group.Differences in exploratory behaviors between the 2 groups were analyzed by the independent sample t-test and Chi- square test. Pearson′ s correlation analysis was performed to explore the correlation between exploratory behaviors and symptom severity in HR-ASD group.Binary Logistic regression analysis was used to explore the discrimination efficiency of sexual behavior in the 2 groups. Results:Compared with TD group, the depth and breadth of exploratory behaviors in HR-ASD group were significantly lower (55.06±25.73 vs.132.78±44.69, 4.42±2.20 vs.8.78±3.28)( t=-8.95, -6.53, all P<0.01), and atypical exploratory behavior and avoidance withdrawal behavior were significantly worse [18 cases(58.06%) vs.6 cases(16.22%), 10 cases(32.26%) vs.3 cases(8.11%)]( χ2=15.30, 6.36, all P<0.05). Significant differences in the frequency and duration of object exploration, environmental exploration and social exploration were detected between HR-ASD group and TD group (3 vs. 0 vs. 0, 45 vs. 0 vs. 0)(all P<0.01). Pearson correlation analysis showed that, the frequency of object exploratory behavior was positively correlated with the dimension of ADOS in HR-AD group ( r=0.40, P<0.05); while the duration of object exploratory behavior, the complexity of object explo-ratory behavior and the depth of exploratory behavior were negatively correlated with CARS score ( r=-0.45, -0.47, -0.42, all P<0.05). The depth of exploratory behavior was negatively correlated with the stereotyped dimension of ADOS ( r=-0.40, P<0.05). Binary Logistic regression analysis showed that the depth of exploratory behavior had a discrimination effect ( P<0.01). Conclusions:The characteristics of exploratory behaviors in HR-ASD infants are abnormal, especially the distinguishing effect on the depth of exploratory behaviors, which can be used as a candidate behavioral index for early screening of ASD.
ABSTRACT
Objective:In this study, a gait acquisition and analysis system is developed to provide a cheap, easy-to-use solution for quantitative recording and analysis of patients' gaits.Methods:From April 2017 to October 2018, we collected the gait data of 19 patients with knee osteoarthritis and 19 healthy volunteers in the orthopaedic outpatient department. Among 19 patients, there were 9 males and 10 females, aged 50.1±9.4 years old. Among 19 healthy volunteers, there were 8 males and 11 females, aged 50.7±10.3 years old. Then, from the collected gait data, the static gait features such as gait speed, step length, stride, and dynamic gait features were automatically calculated, and the statistical difference analysis was finished to determine the correlation between these quantitative gait features and knee osteoarthritis.Results:Firstly, the gait data collected by the depth camera was compared with the data from the multi infrared camera-based motion analysis system (gold standard). The average angle error of the collected knee joint angle was 0.98 degrees, which proved the correctness of the gait data recorded by the depth camera. The statistical difference analysis of gait characteristics between the patient group and the healthy group showed that the gait characteristics with P<0.05 included: gait speed ( r=-0.922, P<0.001), step length ( r=-0.897, P=0.004), stride ( r=-0.914 , P<0.001), dynamic characteristics of angle of knee joint ( r=0.775, P=0.001). Conclusion:The gait acquisition and analysis system based on the depth camera can accurately record and store the gait data of the patients with knee osteoarthritis. Moreover, the extracted quantitative gait features have statistical differences between the patients and the healthy group, which is helpful for the gait analysis of bone joint.
ABSTRACT
Objective:To explore the significance of empathy and executive function indexes in the diagnosis and classification of autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD).Methods:According to DSM-Ⅴ diagnostic criteria, 33 children with ASD, 30 children with ADHD and 39 typical development (TD) children and adolescents were enrolled as the research subjects.The empathy and executive function characteristics were compared and analyzed in the subjects.Based on empathy and executive function indicators, the three groups of subjects were diagnosed and classified by machine learning method.Results:The total score of Griffith empathy measure parent ratings(GEM-PR)(ASD: (0.67±0.64), ADHD: (1.00±0.79), TD: (0.98±0.73)) and each factor score ( F=3.595-10.363, all P<0.05) and the total score of behavior rating inventory of executive function(BRIEF)(ASD: (62.79±7.45), ADHD: (59.47±8.77), TD: (49.08±7.91)) and each factor score of the three groups were different ( F=6.557-33.205, all P<0.01). Among them, the scores of empathy and executive function in ASD and ADHD groups were generally higher than those in TD children (all P<0.05). When combined with BRIEF scale and GEM scale, the classification accuracy of the three groups reached 62.75%. Conclusion:Both ASD and ADHD children have damages in empathy and executive function.Combining empathy and executive function indexes are more helpful for diagnosis and classification than single index.