Department of Pediatrics, University of Sherbrooke, Sherbrooke, Quebec, Canada.
Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Cereb Cortex. 2023 Feb 20;33(5):1895-1912. doi: 10.1093/cercor/bhac180.
Structural and functional magnetic resonance imaging (MRI) studies have suggested a neuroanatomical basis that may underly attention-deficit-hyperactivity disorder (ADHD), but the anatomical ground truth remains unknown. In addition, the role of the white matter (WM) microstructure related to attention and impulsivity in a general pediatric population is still not well understood. Using a state-of-the-art structural connectivity pipeline based on the Brainnetome atlas extracting WM connections and its subsections, we applied dimensionality reduction techniques to obtain biologically interpretable WM measures. We selected the top 10 connections-of-interests (located in frontal, parietal, occipital, and basal ganglia regions) with robust anatomical and statistical criteria. We correlated WM measures with psychometric test metrics (Conner's Continuous Performance Test 3) in 171 children (27 Dx ADHD, 3Dx ASD, 9-13 years old) from the population-based GESTation and Environment cohort. We found that children with lower microstructural complexity and lower axonal density show a higher impulsive behavior on these connections. When segmenting each connection in subsections, we report WM alterations localized in one or both endpoints reflecting a specific localization of WM alterations along each connection. These results provide new insight in understanding the neurophysiology of attention and impulsivity in a general population.
结构和功能磁共振成像(MRI)研究表明,注意缺陷多动障碍(ADHD)可能有神经解剖学基础,但解剖学的真实情况仍不清楚。此外,一般儿科人群中与注意力和冲动相关的白质(WM)微观结构的作用仍不清楚。我们使用基于脑网络图谱的最新结构连接管道提取 WM 连接及其子部分,应用降维技术获得具有生物学可解释性的 WM 测量值。我们根据可靠的解剖学和统计学标准,选择了前、顶、枕和基底节区域的前 10 个具有兴趣的连接。我们将 WM 测量值与基于人群的 GESTation 和环境队列中的 171 名儿童(27 名 ADHD 诊断,3 名 ASD 诊断,9-13 岁)的心理计量测试指标(康纳连续操作测试 3)进行相关分析。我们发现,微观结构复杂性较低和轴突密度较低的儿童在这些连接上表现出更高的冲动行为。当将每个连接分割成子部分时,我们报告了 WM 改变,这些改变定位于一个或两个端点,反映了每个连接上 WM 改变的特定定位。这些结果为理解一般人群中的注意力和冲动的神经生理学提供了新的见解。