Caruso Angela, Gila Letizia, Fulceri Francesca, Salvitti Tommaso, Micai Martina, Baccinelli Walter, Bulgheroni Maria, Scattoni Maria Luisa
Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.
Ab.Acus srl, Milano, via F. Caracciolo 77, 20155 Milano, Italy.
Brain Sci. 2020 Jun 16;10(6):379. doi: 10.3390/brainsci10060379.
Atypical motor patterns are potential early markers and predictors of later diagnosis of Autism Spectrum Disorder (ASD). This study aimed to investigate the early motor trajectories of infants at high-risk (HR) of ASD through MOVIDEA, a semi-automatic software developed to analyze 2D and 3D videos and provide objective kinematic features of their movements. MOVIDEA was developed within the Italian Network for early detection of Autism Spectrum Disorder (NIDA Network), which is currently coordinating the most extensive surveillance program for infants at risk for neurodevelopmental disorders (NDDs). MOVIDEA was applied to video recordings of 53 low-risk (LR; siblings of typically developing children) and 50 HR infants' spontaneous movements collected at 10 days and 6, 12, 18, and 24 weeks. Participants were grouped based on their clinical outcome (18 HR received an NDD diagnosis, 32 HR and 53 LR were typically developing). Results revealed that early developmental trajectories of specific motor parameters were different in HR infants later diagnosed with NDDs from those of infants developing typically. Since MOVIDEA was useful in the association of quantitative measures with specific early motor patterns, it should be applied to the early detection of ASD/NDD markers.
非典型运动模式是自闭症谱系障碍(ASD)后期诊断的潜在早期标志物和预测指标。本研究旨在通过MOVIDEA来调查ASD高危(HR)婴儿的早期运动轨迹,MOVIDEA是一款半自动软件,用于分析二维和三维视频,并提供其运动的客观运动学特征。MOVIDEA是在意大利自闭症谱系障碍早期检测网络(NIDA网络)内开发的,该网络目前正在协调针对神经发育障碍(NDD)高危婴儿的最广泛监测项目。MOVIDEA应用于53名低危(LR;正常发育儿童的兄弟姐妹)和50名HR婴儿在出生10天以及6、12、18和24周时采集的自发运动视频记录。参与者根据其临床结果进行分组(18名HR婴儿被诊断为NDD,32名HR婴儿和53名LR婴儿发育正常)。结果显示,后期被诊断为NDD的HR婴儿特定运动参数的早期发育轨迹与正常发育婴儿的不同。由于MOVIDEA有助于将定量测量与特定早期运动模式相关联,因此应将其应用于ASD/NDD标志物的早期检测。