Key Laboratory of Child Development and Learning Science of Ministry of Education, School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, Jiangsu, China.
College of Preschool Education, Nanjing Xiaozhuang University, Nanjing, Jiangsu, China.
Neuroimage Clin. 2018 Aug 9;20:424-432. doi: 10.1016/j.nicl.2018.08.012. eCollection 2018.
Although autism spectrum disorder (ASD) was previously found to be associated with aberrant brain structure, neuronal amplitudes and spatial neuronal interactions, surprisingly little is known about the temporal dynamics of neuronal oscillations in this disease. Here, the hemoglobin concentration signals (i.e., oxy-Hb and deoxy-Hb) of young children with ASD and typically developing (TD) children were recorded via functional near infrared spectroscopy (fNIRS) when they were watching a cartoon. The long-range temporal correlations (LRTCs) of hemoglobin concentration signals were quantified using detrended fluctuation analysis (DFA). Compared with TD group, the DFA exponents of young children with ASD were significantly smaller over left temporal region for oxy-Hb signal, and over bilateral temporo-occipital regions for deoxy-Hb signals, indicating a shift-to-randomness of brain oscillations in the children with ASD. Testing the relationship between age and DFA exponents revealed that this association could be modulated by autism. The correlation coefficients between age and DFA exponents were significantly more positive in TD group, compared to those in ASD group over several brain regions. Furthermore, the DFA exponents of oxy-Hb in left temporal region were negatively correlated with autistic symptom severity. These results suggest that the decreased DFA exponent of hemoglobin concentration signals may be one of the pathologic changes in ASD, and studying the temporal structure of brain activity via fNIRS technique may provide physiological indicators for autism.
尽管自闭症谱系障碍 (ASD) 先前被发现与大脑结构异常、神经元幅度和空间神经元相互作用有关,但令人惊讶的是,对于这种疾病中神经元振荡的时间动态,人们知之甚少。在这里,当患有 ASD 和典型发育 (TD) 的儿童观看卡通片时,通过功能近红外光谱 (fNIRS) 记录他们的血红蛋白浓度信号 (即氧合血红蛋白和脱氧血红蛋白)。使用去趋势波动分析 (DFA) 量化血红蛋白浓度信号的长程时间相关性 (LRTC)。与 TD 组相比,ASD 组儿童的左颞区氧合血红蛋白信号和双侧颞枕区脱氧血红蛋白信号的 DFA 指数显著较小,表明 ASD 儿童的脑振荡发生了从有序到随机的转变。测试年龄与 DFA 指数之间的关系表明,这种关联可以通过自闭症来调节。与 ASD 组相比,TD 组大脑多个区域的年龄与 DFA 指数之间的相关系数明显更正。此外,左颞区氧合血红蛋白的 DFA 指数与自闭症症状严重程度呈负相关。这些结果表明,血红蛋白浓度信号的 DFA 指数降低可能是 ASD 的病理变化之一,通过 fNIRS 技术研究脑活动的时间结构可能为自闭症提供生理指标。