Adolescent brain maturation associated with environmental factors: a multivariate analysis.

Frontiers in neuroimaging Pub Date : 2024-11-19 eCollection Date: 2024-01-01 DOI:10.3389/fnimg.2024.1390409
Bhaskar Ray, Dawn Jensen, Pranav Suresh, Bishal Thapaliya, Ram Sapkota, Britny Farahdel, Zening Fu, Jiayu Chen, Vince D Calhoun, Jingyu Liu
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Abstract

Human adolescence marks a crucial phase of extensive brain development, highly susceptible to environmental influences. Employing brain age estimation to assess individual brain aging, we categorized individuals (N = 7,435, aged 9-10 years old) from the Adolescent Brain and Cognitive Development (ABCD) cohort into groups exhibiting either accelerated or delayed brain maturation, where the accelerated group also displayed increased cognitive performance compared to their delayed counterparts. A 4-way multi-set canonical correlation analysis integrating three modalities of brain metrics (gray matter density, brain morphological measures, and functional network connectivity) with nine environmental factors unveiled a significant 4-way canonical correlation between linked patterns of neural features, air pollution, area crime, and population density. Correlations among the three brain modalities were notably strong (ranging from 0.65 to 0.77), linking reduced gray matter density in the middle temporal gyrus and precuneus to decreased volumes in the left medial orbitofrontal cortex paired with increased cortical thickness in the right supramarginal and bilateral occipital regions, as well as increased functional connectivity in occipital sub-regions. These specific brain characteristics were significantly more pronounced in the accelerated brain aging group compared to the delayed group. Additionally, these brain regions exhibited significant associations with air pollution, area crime, and population density, where lower air pollution and higher area crime and population density were correlated to brain variations more prominently in the accelerated brain aging group.

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青少年大脑成熟与环境因素的关系:多变量分析。
人类的青春期标志着大脑广泛发育的关键阶段,极易受到环境影响。采用脑年龄估计来评估个体脑老化,我们将来自青少年大脑和认知发展(ABCD)队列的个体(N = 7,435,年龄9-10岁)分为大脑成熟加速或延迟的两组,其中加速组与延迟组相比,认知能力也有所提高。一项将脑指标(灰质密度、脑形态测量和功能网络连接)的三种模式与九种环境因素整合在一起的四向多集典型相关分析揭示了神经特征关联模式、空气污染、区域犯罪和人口密度之间显著的四向典型相关。三种大脑模式之间的相关性非常强(范围从0.65到0.77),将颞中回和楔前叶灰质密度的降低与左侧内侧眶额皮质体积的减少联系起来,并伴随着右侧边缘上和双侧枕区皮质厚度的增加,以及枕亚区功能连通性的增加。与延迟衰老组相比,大脑加速衰老组的这些特定大脑特征明显更为明显。此外,这些大脑区域与空气污染、区域犯罪和人口密度有显著关联,其中在脑加速衰老组中,较低的空气污染、较高的区域犯罪和人口密度与大脑变化的相关性更为显著。
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