Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 May;6(5):508-517. doi: 10.1016/j.bpsc.2020.09.008. Epub 2020 Sep 17.
Previous research from the Adolescent Brain Cognitive Development (ABCD) Study delineated and validated a hierarchical 5-factor structure with a general psychopathology (p) factor at the apex and 5 specific factors (internalizing, somatoform, detachment, neurodevelopmental, externalizing) using parent-reported child symptoms. The present study is the first to examine associations between dimensions from a hierarchical structure and resting-state functional connectivity (RSFC) networks.
Using 9- to 11-year-old children from the ABCD Study baseline sample, we examined the variance explained by each hierarchical structure level (p-factor, 2-factor, 3-factor, 4-factor, and 5-factor models) in associations with RSFC. Analyses were first conducted in a discovery dataset (n = 3790), and significant associations were examined in a replication dataset (n = 3791).
There were robust associations between the p-factor and lower connectivity within the default mode network, although stronger effects emerged for the neurodevelopmental factor. Neurodevelopmental impairments were also related to variation in RSFC networks associated with attention to internal states and external stimuli. Analyses revealed robust associations between the neurodevelopmental dimension and several RSFC metrics, including within the default mode network, between the default mode network with cingulo-opercular and "Other" (unassigned) networks, and between the dorsal attention network with the Other network.
The hierarchical structure of psychopathology showed replicable links to RSFC associations in middle childhood. The specific neurodevelopmental dimension showed robust associations with multiple RSFC metrics. These results show the utility of examining associations between intrinsic brain architecture and specific dimensions of psychopathology, revealing associations especially with neurodevelopmental impairments.
先前的《青少年大脑认知发展研究》(ABCD 研究)使用家长报告的儿童症状,描绘并验证了一个具有一般精神病理学(p)因子的五因素分层结构,该因子位于顶端,还有 5 个特定因子(内化、躯体形式、分离、神经发育、外化)。本研究首次探讨了分层结构的维度与静息态功能连接(RSFC)网络之间的关联。
使用 ABCD 研究基线样本中的 9 至 11 岁儿童,我们研究了每个分层结构水平(p 因子、双因素、三因素、四因素和五因素模型)在与 RSFC 相关联中的解释方差。分析首先在发现数据集(n=3790)中进行,然后在复制数据集(n=3791)中检验显著关联。
p 因子与默认模式网络内的连接性降低之间存在稳健关联,尽管神经发育因子的影响更强。神经发育障碍也与与内部状态和外部刺激注意相关的 RSFC 网络的变化有关。分析表明,神经发育维度与几个 RSFC 指标之间存在稳健关联,包括默认模式网络内、默认模式网络与扣带回-脑岛和“其他”(未分配)网络之间,以及背侧注意网络与其他网络之间。
精神病理学的分层结构显示出与儿童中期 RSFC 关联的可复制联系。特定的神经发育维度与多个 RSFC 指标存在稳健关联。这些结果表明,检查内在大脑结构与精神病理学特定维度之间的关联具有实用性,显示出与神经发育障碍的关联。