Santra Romila, Pacheco Carolina, Crocetti Deana, Vidal René, Mostofsky Stewart H, Tunçgenç Bahar
Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Mathematical Institute for Data Science, Johns Hopkins University, Maryland, USA; and Department of Biomedical Engineering, Johns Hopkins University, Maryland, USA.
Br J Psychiatry. 2025 Jan 28:1-8. doi: 10.1192/bjp.2024.235.
Reliable and specific biomarkers that can distinguish autism spectrum disorders (ASDs) from commonly co-occurring attention-deficit/hyperactivity disorder (ADHD) are lacking, causing misses and delays in diagnosis, and reducing access to interventions and quality of life.
To examine whether an innovative, brief (1-min), videogame method called Computerised Assessment of Motor Imitation (CAMI), can identify ASD-specific imitation differences compared with neurotypical children and children with ADHD.
This cross-sectional study used CAMI alongside standardised parent-report (Social Responsiveness Scale, Second Edition) and observational measures of autism (Autism Diagnostic Observation Schedule-Second Edition; ADOS-2), ADHD (Conners) and motor ability (Physical and Neurological Examination for Soft Signs). The sample comprised 183 children aged 7-13 years, with ADHD (without ASD), with ASD (with and without ADHD) and who were neurotypical.
Regardless of co-occurring ADHD, children with ASD showed poorer CAMI performance than neurotypical children ( < 0.0001; adjusted = 0.28), whereas children with ADHD and neurotypical children showed similar CAMI performance. Receiver operating curve and support vector machine analyses showed that CAMI distinguishes ASD from both neurotypical children (80% true positive rate) and children with ADHD (70% true positive rate), with a high success rate significantly above chance. Among children with ASD, poor CAMI performance was associated with increased autism traits, particularly ADOS-2 measures of social affect and restricted and repetitive behaviours (adjusted = 0.23), but not with ADHD traits or motor ability.
Four levels of analyses confirm that poor imitation measured by the low-cost and scalable CAMI method specifically distinguishes ASD not only from neurotypical development, but also from commonly co-occurring ADHD.
目前缺乏可靠且特异的生物标志物来区分自闭症谱系障碍(ASD)与常见的共病注意缺陷多动障碍(ADHD),这导致诊断失误和延误,减少了获得干预措施的机会并降低了生活质量。
研究一种名为计算机化运动模仿评估(CAMI)的创新型简短(1分钟)视频游戏方法,能否识别出自闭症谱系障碍患儿与神经典型儿童及注意缺陷多动障碍患儿相比在模仿方面的特异性差异。
这项横断面研究将CAMI与标准化的家长报告(《社会反应量表》第二版)以及自闭症(《自闭症诊断观察量表》第二版;ADOS - 2)、注意缺陷多动障碍(康纳斯量表)和运动能力(软体征体格和神经学检查)的观察性测量方法相结合。样本包括183名7 - 13岁的儿童,分别患有注意缺陷多动障碍(无自闭症谱系障碍)、患有自闭症谱系障碍(有或无注意缺陷多动障碍)以及神经典型儿童。
无论是否共病注意缺陷多动障碍,自闭症谱系障碍患儿的CAMI表现均比神经典型儿童差(<0.0001;校正后 = 0.28),而注意缺陷多动障碍患儿和神经典型儿童的CAMI表现相似。受试者工作特征曲线和支持向量机分析表明,CAMI能够将自闭症谱系障碍患儿与神经典型儿童(真阳性率80%)以及注意缺陷多动障碍患儿(真阳性率70%)区分开来,成功率显著高于随机水平。在自闭症谱系障碍患儿中,CAMI表现不佳与自闭症特征增加有关,尤其是ADOS - 2中社会情感以及局限和重复行为的测量指标(校正后 = 0.23),但与注意缺陷多动障碍特征或运动能力无关。
四个层面的分析证实,通过低成本且可扩展的CAMI方法测量的模仿能力差不仅能将自闭症谱系障碍与神经典型发育区分开来,还能将其与常见的共病注意缺陷多动障碍区分开来。