Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

被引:119
作者
Paulus, Martin P. [1 ,2 ]
Squeglia, Lindsay M. [3 ]
Bagot, Kara [2 ]
Jacobus, Joanna [2 ]
Kuplicki, Rayus [1 ]
Breslin, Florence J. [1 ]
Bodurka, Jerzy [1 ]
Morris, Amanda Sheffield [1 ,5 ]
Thompson, Wesley K. [4 ]
Bartsch, Hauke [6 ]
Tapert, Susan F. [2 ]
机构
[1] Laureate Inst Brain Res, 6655 S Yale Ave, Tulsa, OK 74136 USA
[2] Univ Calif San Diego, Dept Psychiat, La Jolla, CA 92093 USA
[3] Med Univ South Carolina, Dept Psychiat & Behav Sci, Addict Sci Div, Charleston, SC 29425 USA
[4] Univ Calif San Diego, Dept Family Med & Publ Hlth, Div Biostat, La Jolla, CA 92093 USA
[5] Oklahoma State Univ, Coll Human Dev & Family Sci, Stillwater, OK 74078 USA
[6] Univ Calif San Diego, Dept Radiol, La Jolla, CA 92093 USA
基金
美国国家卫生研究院;
关键词
SURFACE-BASED ANALYSIS; HUMAN CEREBRAL-CORTEX; CORTICAL THICKNESS; UNITED-STATES; MENTAL-HEALTH; ASSOCIATIONS; ADOLESCENTS; COVARIANCE; CHILDREN; PATTERNS;
D O I
10.1016/j.neuroimage.2018.10.040
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:140 / 153
页数:14
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