Falahpour Maryam, Thompson Wesley K, Abbott Angela E, Jahedi Afrooz, Mulvey Mark E, Datko Michael, Liu Thomas T, Müller Ralph-Axel
1 Center for Functional MRI, Department of Radiology, University of California , San Diego, California.
2 Department of Psychiatry, University of California , San Diego, California.
Brain Connect. 2016 Jun;6(5):403-14. doi: 10.1089/brain.2015.0389. Epub 2016 Apr 22.
Autism spectrum disorder (ASD) is characterized by core sociocommunicative impairments. Atypical intrinsic functional connectivity (iFC) has been reported in numerous studies of ASD. A majority of findings has indicated long-distance underconnectivity. However, fMRI studies have thus far exclusively examined static iFC across several minutes of scanning. We examined temporal variability of iFC, using sliding window analyses in selected high-quality (low-motion) consortium datasets from 76 ASD and 76 matched typically developing (TD) participants (Study 1) and in-house data from 32 ASD and 32 TD participants. Mean iFC and standard deviation of the sliding window correlation (SD-iFC) were computed for regions of interest (ROIs) from default mode and salience networks, as well as amygdala and thalamus. In both studies, ROI pairings with significant underconnectivity (ASD<TD) were identified. Mediation analyses showed that decreased mean iFC in the ASD groups was significantly affected by increased SD-iFC. Our study is the first to identify temporal variability across time as a significant contributing factor to the common finding of static underconnectivity in ASD. Since peak connectivity across time was not significantly reduced in ASD, static underconnectivity findings may have to be reinterpreted, suggesting that connections are not actually "broken" in ASD, but subject to greater intra-individual variability across time. Our findings indicate the need for dynamic approaches to iFC in clinical functional connectivity MRI (fcMRI) investigations.
自闭症谱系障碍(ASD)的特征是存在核心社交沟通障碍。在众多关于ASD的研究中均报告了非典型的内在功能连接(iFC)。大多数研究结果表明存在长距离连接不足。然而,迄今为止,功能磁共振成像(fMRI)研究仅在数分钟的扫描过程中对静态iFC进行了检查。我们使用滑动窗口分析,在来自76名ASD患者和76名匹配的正常发育(TD)参与者的高质量(低运动)联合数据集中(研究1)以及来自32名ASD患者和32名TD参与者的内部数据中,研究了iFC的时间变异性。计算了默认模式网络、突显网络以及杏仁核和丘脑等感兴趣区域(ROI)的平均iFC和滑动窗口相关性的标准差(SD-iFC)。在两项研究中,均识别出了连接显著不足(ASD<TD)的ROI配对。中介分析表明,ASD组中平均iFC的降低受到SD-iFC增加的显著影响。我们的研究首次将随时间的变化识别为导致ASD中静态连接不足这一常见发现的重要因素。由于ASD患者随时间的峰值连接并未显著降低,因此可能需要重新解释静态连接不足的研究结果,这表明在ASD中连接实际上并未“中断”,而是在个体内部随时间存在更大的变异性。我们的研究结果表明,在临床功能连接磁共振成像(fcMRI)研究中,需要采用动态方法来研究iFC。