Wang Rong, Fan Yongchen, Wu Ying, Zang Yu-Feng, Zhou Changsong
State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong.
iScience. 2022 Jun 26;25(7):104673. doi: 10.1016/j.isci.2022.104673. eCollection 2022 Jul 15.
Attention-deficit/hyperactivity disorder (ADHD) is increasingly being diagnosed in both children and adults, but the neural mechanisms that underlie its distinct symptoms and whether children and adults share the same mechanism remain poorly understood. Here, we used a nested-spectral partition approach to study resting-state brain networks of ADHD patients (n = 97) and healthy controls (HCs, n = 97) across the lifespan (7-50 years). Compared to the linear lifespan associations of brain segregation and integration with age in HCs, ADHD patients have a quadratic association in the whole-brain and in most functional systems, whereas the limbic system dominantly affected by ADHD has a linear association. Furthermore, the limbic system better predicts hyperactivity, and the salient attention system better predicts inattention. These predictions are shared in children and adults with ADHD. Our findings reveal a lifespan association of brain networks with ADHD and provide potential shared neural bases of distinct ADHD symptoms in children and adults.
注意缺陷多动障碍（ADHD）在儿童和成人中被诊断出的情况越来越多，但对于其不同症状背后的神经机制以及儿童和成人是否共享相同机制，我们仍知之甚少。在此，我们采用嵌套光谱划分方法，研究了不同年龄段（7至50岁）的ADHD患者（n = 97）和健康对照者（HCs，n = 97）的静息态脑网络。与健康对照者大脑分离和整合与年龄的线性寿命关联相比，ADHD患者在全脑和大多数功能系统中呈现二次关联，而受ADHD主要影响的边缘系统则呈现线性关联。此外，边缘系统能更好地预测多动，而突显注意系统能更好地预测注意力不集中。这些预测在患有ADHD的儿童和成人中都存在。我们的研究结果揭示了脑网络与ADHD的寿命关联，并为儿童和成人ADHD不同症状提供了潜在的共享神经基础。
