School of Psychology, Shenzhen University, Shenzhen, Guangdong 518060, China.
School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China.
Cereb Cortex. 2023 Jul 5;33(14):8849-8857. doi: 10.1093/cercor/bhad165.
Attention-deficit/hyperactivity disorder has increasingly been conceptualized as a disorder of abnormal brain connectivity. However, far less is known about the structural covariance in different subtypes of this disorder and how those differences may contribute to the symptomology of these subtypes. In this study, we used a combined volumetric-based methodology and structural covariance approach to investigate structural covariance of subcortical brain volume in attention-deficit/hyperactivity disorder-combined and attention-deficit/hyperactivity disorder-inattentive patients. In addition, a linear support vector machine was used to predict patient's attention-deficit/hyperactivity disorder symptoms. Results showed that compared with TD children, those with attention-deficit/hyperactivity disorder-combined exhibited decreased volume of both the left and right pallidum. Moreover, we found increased right hippocampal volume in attention-deficit/hyperactivity disorder-inattentive children. Furthermore and when compared with the TD group, both attention-deficit/hyperactivity disorder-combined and attention-deficit/hyperactivity disorder-inattentive groups showed greater nonhomologous inter-regional correlations. The abnormal structural covariance network in the attention-deficit/hyperactivity disorder-combined group was located in the left amygdala-left putamen/left pallidum/right pallidum and right pallidum-left pallidum; in the attention-deficit/hyperactivity disorder-inattentive group, this difference was noted in the left hippocampus-left amygdala/left putamen/right putamen and right hippocampus-left amygdala. Additionally, different combinations of abnormalities in subcortical structural covariance were predictive of symptom severity in different attention-deficit/hyperactivity disorder subtypes. Collectively, our findings demonstrated that structural covariance provided valuable diagnostic markers for attention-deficit/hyperactivity disorder subtypes.
注意缺陷多动障碍(ADHD)越来越被认为是一种异常脑连接的障碍。然而,对于这种障碍的不同亚型的结构协变以及这些差异如何导致这些亚型的症状,人们知之甚少。在这项研究中,我们使用了一种基于容积的综合方法和结构协变方法来研究注意缺陷多动障碍-混合型和注意缺陷多动障碍-不注意型患者的皮质下脑体积的结构协变。此外,我们还使用了线性支持向量机来预测患者的注意缺陷多动障碍症状。结果表明,与 TD 儿童相比,注意缺陷多动障碍-混合型儿童的左右苍白球体积均减小。此外,我们发现注意缺陷多动障碍-不注意型儿童的右海马体积增大。此外,与 TD 组相比,注意缺陷多动障碍-混合型和注意缺陷多动障碍-不注意型组的非同源区域间相关性更大。注意缺陷多动障碍-混合型组的异常结构协变网络位于左侧杏仁核-左侧壳核/左侧苍白球/右侧苍白球和右侧苍白球-左侧苍白球;而在注意缺陷多动障碍-不注意型组中,这种差异存在于左侧海马体-左侧杏仁核/左侧壳核/右侧壳核和右侧海马体-左侧杏仁核。此外,皮质下结构协变的不同异常组合可预测不同注意缺陷多动障碍亚型的症状严重程度。总之,我们的研究结果表明,结构协变提供了注意缺陷多动障碍亚型的有价值的诊断标志物。