Laureate Institute for Brain Research, Tulsa, OK, USA; University of California San Diego, Department of Psychiatry, USA.
Medical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, USA.
Neuroimage. 2019 Jan 15;185:140-153. doi: 10.1016/j.neuroimage.2018.10.040. Epub 2018 Oct 16.
The adolescent brain undergoes profound structural changes which is influenced by many factors. Screen media activity (SMA; e.g., watching television or videos, playing video games, or using social media) is a common recreational activity in children and adolescents; however, its effect on brain structure is not well understood. A multivariate approach with the first cross-sectional data release from the Adolescent Brain Cognitive Development (ABCD) study was used to test the maturational coupling hypothesis, i.e. the notion that coordinated patterns of structural change related to specific behaviors. Moreover, the utility of this approach was tested by determining the association between these structural correlation networks and psychopathology or cognition. ABCD participants with usable structural imaging and SMA data (N = 4277 of 4524) were subjected to a Group Factor Analysis (GFA) to identify latent variables that relate SMA to cortical thickness, sulcal depth, and gray matter volume. Subject scores from these latent variables were used in generalized linear mixed-effect models to investigate associations between SMA and internalizing and externalizing psychopathology, as well as fluid and crystalized intelligence. Four SMA-related GFAs explained 37% of the variance between SMA and structural brain indices. SMA-related GFAs correlated with brain areas that support homologous functions. Some but not all SMA-related factors corresponded with higher externalizing (Cohen's d effect size (ES) 0.06-0.1) but not internalizing psychopathology and lower crystalized (ES: 0.08-0.1) and fluid intelligence (ES: 0.04-0.09). Taken together, these findings support the notion of SMA related maturational coupling or structural correlation networks in the brain and provides evidence that individual differences of these networks have mixed consequences for psychopathology and cognitive performance.
青少年大脑会发生深刻的结构变化,这受到许多因素的影响。屏幕媒体活动(SMA;例如,看电视或视频、玩视频游戏或使用社交媒体)是儿童和青少年常见的娱乐活动;然而,其对大脑结构的影响尚不清楚。采用多变量方法,结合青少年大脑认知发育(ABCD)研究的首次横断面数据发布,来检验成熟耦合假说,即协调的结构变化模式与特定行为相关的观点。此外,通过确定这些结构相关网络与精神病理学或认知之间的关联,来检验这种方法的实用性。ABCD 研究中具有可用结构成像和 SMA 数据的参与者(4524 名中的 4277 名)接受了群组因素分析(GFA),以确定与皮质厚度、脑沟深度和灰质体积相关的 SMA 的潜在变量。从这些潜在变量中获得的受试者分数被用于广义线性混合效应模型,以研究 SMA 与内化和外化精神病理学以及流体和晶体智力之间的关联。四个与 SMA 相关的 GFA 解释了 SMA 与结构脑指数之间 37%的方差。与 SMA 相关的 GFA 与支持同源功能的大脑区域相关。与 SMA 相关的一些因素(Cohen's d 效应量(ES)为 0.06-0.1),但不是所有因素,都与较高的外化(ES:0.06-0.1)和较低的晶体智力(ES:0.08-0.1)和流体智力(ES:0.04-0.09)相关。综上所述,这些发现支持 SMA 相关成熟耦合或大脑中结构相关网络的观点,并为这些网络的个体差异对精神病理学和认知表现有混合影响提供了证据。