Chen Ran, Jiao Yun, Zhu Jun-Sa, Wang Xun-Heng, Zhao Mei-Ting
Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging and Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
Department of Radiology, Nanjing BenQ Medical Center, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China.
Front Hum Neurosci. 2024 Aug 9;18:1412572. doi: 10.3389/fnhum.2024.1412572. eCollection 2024.
Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in childhood. Numerous resting-state functional magnetic resonance imaging (rs-fMRI) studies in ADHD have been performed using traditional low-frequency bands (0.01-0.08 Hz). However, the neural activity patterns of frequency subbands in ADHD still require further investigation. The purpose of this study is to explore the frequency-dependent characteristics and neural activity patterns of ADHD subtypes. We selected the ADHD combined type (ADHD-C, = 25), ADHD inattentive type (ADHD-I, = 26) and typically developing (TD, = 28) children from the ADHD-200 Consortium. Based on the slow-5 band (0.01-0.027 Hz) and slow-4 band (0.027-0.073 Hz), we generated static and dynamic fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) maps for each participant. A flexible-factorial analysis of variance model was performed on static and temporal dynamic rs-fMRI measurements within two subbands. Results revealed that the orbital-frontal gyrus, precuneus, superior temporal gyrus and angular gyrus were found to have obvious frequency band and group interaction effects. The intrinsic neural activity differences among three groups were more prominent in the slow-5 frequency band compared to the slow-4 band. In addition, the indices of significant interaction regions showed correlations with the progression of the disease and the features in slow-5 showed an advantageous diagnostic performance compared with those in slow-4. The results suggested the intrinsic neural activities of ADHD subtypes were frequency-dependent. The frequency-specific analysis of static and dynamic brain activity may provide a deeper understanding of neurophysiological dysfunction patterns in ADHD subtypes and provide supplementary information for assessing ADHD subtypes.
注意缺陷多动障碍（ADHD）是儿童期最常见的神经发育障碍之一。众多针对ADHD的静息态功能磁共振成像（rs-fMRI）研究都使用了传统的低频波段（0.01 - 0.08 Hz）。然而，ADHD中频率子带的神经活动模式仍需进一步研究。本研究的目的是探索ADHD亚型的频率依赖性特征和神经活动模式。我们从ADHD - 200联盟中选取了ADHD混合型（ADHD - C，n = 25）、ADHD注意力不集中型（ADHD - I，n = 26）和发育正常（TD，n = 28）的儿童。基于慢5波段（0.01 - 0.027 Hz）和慢4波段（0.027 - 0.073 Hz），我们为每个参与者生成了低频波动分数振幅（fALFF）和局部一致性（ReHo）的静态和动态图谱。对两个子带内的静态和时间动态rs - fMRI测量值进行了灵活因子方差分析模型。结果显示，眶额回、楔前叶、颞上回和角回存在明显的频带和组间交互作用。与慢4波段相比，三组之间的内在神经活动差异在慢5波段更为显著。此外，显著交互区域的指标与疾病进展相关，且慢5波段的特征比慢4波段表现出更优的诊断性能。结果表明ADHD亚型的内在神经活动具有频率依赖性。对静态和动态脑活动的频率特异性分析可能有助于更深入地理解ADHD亚型的神经生理功能障碍模式，并为评估ADHD亚型提供补充信息。
