Mapping ADHD Heterogeneity and Biotypes through Topological Deviations in Morphometric Similarity Networks.

Nanfang Pan, Yajing Long, Kun Qin, Isaac Pope, Qiuxing Chen, Ziyu Zhu, Ying Cao, Lei Li, Manpreet K Singh, Robert K McNamara, Melissa P DelBello, Ying Chen, Alex Fornito, Qiyong Gong
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Abstract

Attention-deficit/hyperactivity disorder (ADHD) is characterized by considerable clinical heterogeneity. This study investigates whether normative modelling of topological properties derived from brain morphometry similarity networks can provide robust stratification markers for ADHD children. Leveraging multisite neurodevelopmental datasets (discovery: 446 ADHD, 708 controls; validation: 554 ADHD, 123 controls), we constructed morphometric similarity networks and developed normative models for three topological metrics: degree centrality, nodal efficiency, and participation coefficient. Through semi-supervised clustering, we delineated putative biotypes and examined their clinical profiles. We further contextualized brain profiles of these biotypes in terms of their neurochemical and functional correlates using large-scale databases, and assessed model generalizability in an independent cohort. ADHD exhibited atypical hub organization across all three topological metrics, with significant case-control differences primarily localized to a covarying multi-metric component in the orbitofrontal cortex. Three biotypes emerged: one characterized by severe overall symptoms and longitudinally persistent emotional dysregulation, accompanied by pronounced topological alterations in the medial prefrontal cortex and pallidum; a second by predominant hyperactivity/impulsivity accompanied by changes in the anterior cingulate cortex and pallidum; and a third by marked inattention with alterations in the superior frontal gyrus. These neural profiles of each biotype showed distinct neurochemical and functional correlates. Critically, the core findings were replicated in an independent validation cohort. Our comprehensive approach reveals three distinct ADHD biotypes with unique clinical-neural patterns, advancing our understanding of ADHD's neurobiological heterogeneity and laying the groundwork for personalized treatment.

通过形态相似性网络的拓扑偏差映射ADHD异质性和生物型。
注意缺陷/多动障碍(ADHD)具有相当大的临床异质性。本研究探讨了基于脑形态相似性网络的拓扑特性的规范建模是否可以为ADHD儿童提供可靠的分层标记。利用多位点神经发育数据集(发现:446例ADHD, 708例对照;验证:554名ADHD, 123名对照),我们构建了形态相似性网络,并为三个拓扑指标建立了规范模型:度中心性、节点效率和参与系数。通过半监督聚类,我们描绘了假定的生物型,并检查了他们的临床概况。我们进一步利用大规模数据库从神经化学和功能相关方面对这些生物型的大脑概况进行了背景化分析,并在一个独立的队列中评估了模型的普遍性。ADHD在所有三个拓扑指标上都表现出非典型的中枢组织,显著的病例对照差异主要局限于眼眶额叶皮层的共变多指标成分。出现了三种生物型:一种以严重的整体症状和纵向持续的情绪失调为特征,伴有内侧前额叶皮层和苍白球的明显拓扑改变;第二次是主要的多动/冲动,并伴有前扣带皮层和苍白球的变化;第三种是明显的注意力不集中,前额上回发生了变化。每种生物型的神经图谱显示出不同的神经化学和功能相关性。关键的是,核心发现在一个独立的验证队列中得到了重复。我们的综合方法揭示了具有独特临床-神经模式的三种不同的ADHD生物型,促进了我们对ADHD神经生物学异质性的理解,并为个性化治疗奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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