O'Reilly Christian, Huberty Scott, van Noordt Stefon, Desjardins James, Wright Nicky, Scorah Julie, Webb Sara Jane, Elsabbagh Mayada
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA.
Artificial Intelligence Institute of South Carolina, University of South Carolina, Columbia, SC, USA.
Res Sq. 2023 May 15:rs.3.rs-2901872. doi: 10.21203/rs.3.rs-2901872/v1.
Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, relatively little is known about the development of these differences in infancy and on how trajectories may vary between sexes.
We used the International Infant EEG Platform (EEG-IP), a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6, 12, and 18 months of age at typical (N=97) or high familial risk for ASD (N=98), determined by the presence of an older sibling with a confirmed ASD diagnosis. We computed the functional connectivity between cortical EEG sources during video watching using the corrected imaginary part of phase-locking values.
Our findings showed low regional specificity for group differences in functional connectivity but revealed different sex-specific trajectories between females and males in the group of high-risk infants. Specifically, functional connectivity was negatively correlated with ADOS calibrated severity scores, particularly at 12 months for the social affect score for females and for the restrictive and repetitive behaviors for males.
This study has been limited mostly due to issues related to the relatively small effective sample size inherent in sibling studies, particularly for diagnostic group comparisons.
These results are consistent with sex differences in ASD observed in previous research and provide further insights into the role of functional connectivity in these differences.
许多研究报告称,自闭症谱系障碍(ASD)与非典型的结构和功能连接性有关。然而,对于这些差异在婴儿期的发展以及不同性别之间的轨迹可能如何变化,我们了解得相对较少。
我们使用国际婴儿脑电图平台(EEG-IP),这是一个从两个独立的婴儿同胞队列汇总而来的高密度脑电图(EEG)数据集,以表征生命最初几年中的此类神经发育偏差。根据是否有一个确诊为ASD的年长同胞,将婴儿分为典型发育组(N = 97)或ASD高家族风险组(N = 98),并在6、12和18个月龄时记录脑电图。我们使用锁相值的校正虚部计算了观看视频期间皮质脑电图源之间的功能连接性。
我们的研究结果表明,功能连接性的组间差异区域特异性较低,但揭示了高风险婴儿组中女性和男性之间不同的性别特异性轨迹。具体而言,功能连接性与ADOS校准严重程度评分呈负相关,特别是在12个月时,对于女性的社交情感评分和男性的限制性和重复行为评分。
本研究主要受到同胞研究中固有的相对较小有效样本量相关问题的限制,特别是在诊断组比较方面。
这些结果与先前研究中观察到的ASD性别差异一致,并为功能连接性在这些差异中的作用提供了进一步的见解。