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额顶连接的发展可预测自闭症谱系障碍青少年的纵向症状变化。

Development of frontoparietal connectivity predicts longitudinal symptom changes in young people with autism spectrum disorder.

机构信息

Department of Psychiatry, National Taiwan University Hospital, and College of Medicine, Taipei, Taiwan.

Systems Neuroscience Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.

出版信息

Transl Psychiatry. 2019 Feb 12;9(1):86. doi: 10.1038/s41398-019-0418-5.

Abstract

Structural neuroimaging studies suggest altered brain maturation in autism spectrum disorder (ASD) compared with typically developing controls (TDC). However, the prognostic value of whole-brain structural connectivity analysis in ASD has not been established. Diffusion magnetic imaging data were acquired in 27 high-functioning young ASD participants (2 females) and 29 age-matched TDC (12 females; age 8-18 years) at baseline and again following 3-7 years. Whole-brain structural connectomes were reconstructed from these data and analyzed using a longitudinal statistical model. We identified distinct patterns of widespread brain connections that exhibited either significant increases or decreases in connectivity over time (p < 0.001). There was a significant interaction between diagnosis and time in brain development (p < 0.001). This was expressed by a decrease in structural connectivity within the frontoparietal network-and its broader connectivity-in ASD during adolescence and early adulthood. Conversely, these connections increased with time in TDC. Crucially, stronger baseline connectivity in this subnetwork predicted a lower symptom load at follow-up (p = 0.048), independent of the expression of symptoms at baseline. Our findings suggest a clinically meaningful relationship between the atypical development of frontoparietal structural connections and the dynamics of the autism phenotype through early adulthood. These results highlight a potential marker of future outcome.

摘要

结构神经影像学研究表明,与典型发育对照组(TDC)相比,自闭症谱系障碍(ASD)患者的大脑成熟度存在差异。然而,全脑结构连接分析在 ASD 中的预后价值尚未确定。在基线和 3-7 年后,对 27 名高功能 ASD 参与者(2 名女性)和 29 名年龄匹配的 TDC(12 名女性;年龄 8-18 岁)进行了扩散磁共振成像数据采集。从这些数据中重建了全脑结构连接组,并使用纵向统计模型进行了分析。我们确定了广泛的大脑连接的不同模式,这些连接在时间上表现出显著的增加或减少(p<0.001)。在大脑发育方面,诊断和时间之间存在显著的相互作用(p<0.001)。这表现为 ASD 患者在青春期和成年早期,额顶网络及其更广泛的连接的结构连接性下降。相反,这些连接在 TDC 中随时间增加。至关重要的是,该子网中更强的基线连接性预示着随访时的症状负荷较低(p=0.048),与基线时的症状表达无关。我们的发现表明,额顶叶结构连接的异常发育与自闭症表型的动力学在整个成年早期存在临床意义上的关系。这些结果突出了未来结果的潜在标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b320/6372645/39548182c226/41398_2019_418_Fig1_HTML.jpg

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