Li Fenghua, Zheng Yi, Smith Stephanie D, Shic Frederick, Moore Christina C, Zheng Xixi, Qi Yanjie, Liu Zhengkui, Leckman James F
Key Lab of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 218 South Block, #16 Lincui Road, Chaoyang District, Beijing, 100101 People's Republic of China.
University of Chinese Academy of Sciences, Beijing, People's Republic of China.
Child Adolesc Psychiatry Ment Health. 2016 Dec 12;10:47. doi: 10.1186/s13034-016-0135-2. eCollection 2016.
At present, there are no well-validated biomarkers for attention-deficit/hyperactivity disorder (ADHD). The present study used an infrared motion tracking system to monitor and record the movement intensity of children and to determine its diagnostic precision for ADHD and its possible associations with ratings of ADHD symptom severity.
A Microsoft motion sensing camera recorded the movement of children during a modified Go/No-Go Task. Movement intensity measures extracted from these data included a composite measure of total movement intensity (TMI measure) and a movement intensity distribution (MID measure) measure across 15 frequency bands (FB measures). In phase 1 of the study, 30 children diagnosed with ADHD or at subthreshold for ADHD and 30 matched healthy controls were compared to determine if measures of movement intensity successfully distinguished children with ADHD from healthy control children. In phase 2, associations between measures of movement intensity and clinician-rated ADHD symptom severity (Clinical Global Impression Scale [CGI] and the ADHD-Rating Scale IV [ADHD-RS]) were examined in a subset of children with ADHD (n = 14) from the phase I sample.
Both measures of movement intensity were able to distinguish children with ADHD from healthy controls. However, only the measures linked to the 15 pre-determined 1 Hz frequency bands were significantly correlated with both the CGI scores and ADHD-RS total scores.
Preliminary findings suggest that measures of movement intensity, particularly measures linked to the 10-11 and 12-13 Hz frequency bands, have the potential to become valid biomarkers for ADHD.
目前,注意力缺陷多动障碍(ADHD)尚无经过充分验证的生物标志物。本研究使用红外运动跟踪系统监测并记录儿童的运动强度,以确定其对ADHD的诊断精度及其与ADHD症状严重程度评分的可能关联。
一台微软运动感应摄像头记录了儿童在改良的“是/否”任务中的运动情况。从这些数据中提取的运动强度测量指标包括总运动强度的综合测量指标(TMI指标)以及15个频段的运动强度分布指标(MID指标)(FB指标)。在研究的第一阶段,对30名被诊断为ADHD或处于ADHD亚阈值的儿童与30名匹配的健康对照儿童进行比较,以确定运动强度测量指标是否能成功区分ADHD儿童与健康对照儿童。在第二阶段,在第一阶段样本中选取一部分ADHD儿童(n = 14),研究运动强度测量指标与临床医生评定的ADHD症状严重程度(临床总体印象量表[CGI]和ADHD评定量表第四版[ADHD-RS])之间的关联。
两种运动强度测量指标均能区分ADHD儿童与健康对照儿童。然而,只有与15个预先确定的1赫兹频段相关的测量指标与CGI评分和ADHD-RS总分均显著相关。
初步研究结果表明,运动强度测量指标,尤其是与10 - 11赫兹和/或12 - 13赫兹频段相关的测量指标,有可能成为ADHD的有效生物标志物。 (注:原文中“10-11 and 12-13 Hz frequency bands”这里的“and”可能存在信息不完整,推测可能是“10 - 11赫兹和/或12 - 13赫兹频段”,翻译时补充了使语义更完整的内容)