Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2022 Apr;7(4):352-361. doi: 10.1016/j.bpsc.2021.02.013. Epub 2021 Mar 9.
Regardless of the precise mechanism, all neurodevelopmental models of risk assume that, at the population level, there exist subgroups of individuals that share similar patterns of neural function and development-and that these subgroups somehow relate to psychiatric risk. However, the existence of multiple neurodevelopmental subgroups at the population level has not been assessed previously.
In the current study, cross-validated latent profile analysis was used to test for the presence of empirically derived, brain-based developmental subgroups using functional magnetic resonance imaging data from 6758 individuals (49.4% female; mean age = 9.94 years) in the Adolescent Brain and Cognitive Development (ABCD) study wave 1 release. Data were randomly split into training and testing samples.
Analyses in the training sample (n = 3379) identified a seven-profile solution (entropy = 0.880) that was replicated in the held-out testing data (n = 3379, entropy = 0.890). Identified subgroups included a moderate group (66.8%), high reward (4.3%) and low reward (4.0%) groups, high inhibition (9.8%) and low inhibition (6.7%) groups, and high emotion regulation (4.0%) and low emotion regulation (4.3%) groups. Relative to the moderate group, other subgroups were characterized by more males (χ = 24.10, p = .0005), higher proportions of individuals from lower-income households (χ = 122.17, p < .0001), poorer cognitive performance (ps < .0001), more screen time (F = 6.80, p < .0001), heightened impulsivity (ps < .006), and higher rates of neurodevelopmental disorders (χ = 26.20, p = .0002).
These data demonstrate the existence of multiple, distinct neurodevelopmental subgroups at the population level. They indicate that these empirically derived, brain-based developmental profiles relate to differences in clinical features, even at a young age, and prior to the peak period of risk for the development of psychopathology.
无论确切的机制如何,所有神经发育风险模型都假设,在人群层面上,存在具有相似神经功能和发育模式的个体亚组——这些亚组与精神风险有关。然而,以前尚未评估人群层面上是否存在多个神经发育亚组。
在当前的研究中,使用交叉验证潜在剖面分析,使用来自青少年大脑与认知发展(ABCD)研究波 1 发布的 6758 个人(49.4%为女性;平均年龄为 9.94 岁)的功能磁共振成像数据,来检验基于大脑的发展亚组的存在。数据随机分为训练和测试样本。
在训练样本(n=3379)中的分析确定了一个七组解决方案(熵=0.880),该解决方案在保留的测试数据(n=3379,熵=0.890)中得到了复制。确定的亚组包括一个中等组(66.8%)、高奖励(4.3%)和低奖励(4.0%)组、高抑制(9.8%)和低抑制(6.7%)组以及高情绪调节(4.0%)和低情绪调节(4.3%)组。与中等组相比,其他亚组的特点是男性比例更高(χ²=24.10,p=0.0005)、来自低收入家庭的个体比例更高(χ²=122.17,p<0.0001)、认知表现更差(p<0.0001)、屏幕时间更长(F=6.80,p<0.0001)、冲动性更高(p<0.006)以及神经发育障碍发生率更高(χ²=26.20,p=0.0002)。
这些数据表明,在人群层面上存在多个不同的神经发育亚组。它们表明,这些基于经验的、基于大脑的发育模式与临床特征的差异有关,甚至在年轻时,并且在精神病理学发展的风险高峰期之前就有关联。