Ray Bhaskar, Jensen Dawn, Suresh Pranav, Thapaliya Bishal, Sapkota Ram, Farahdel Britny, Fu Zening, Chen Jiayu, Calhoun Vince D, Liu Jingyu
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.
Department of Computer Science, Georgia State University, Atlanta, GA, United States.
Front Neuroimaging. 2024 Nov 19;3:1390409. doi: 10.3389/fnimg.2024.1390409. eCollection 2024.
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 ( = 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.
人类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。我们利用脑龄估计来评估个体脑老化情况,将青少年大脑与认知发展(ABCD)队列中的个体(n = 7435,9 - 10岁)分为脑成熟加速或延迟的组,其中脑成熟加速组相比脑成熟延迟组还表现出认知能力增强。一项四路多集典型相关分析将脑指标的三种模式(灰质密度、脑形态测量和功能网络连通性)与九个环境因素相结合,揭示了神经特征、空气污染、地区犯罪和人口密度的关联模式之间存在显著的四路典型相关。三种脑模式之间的相关性尤为强烈(范围从0.65至0.77),将颞中回和楔前叶灰质密度降低与左侧眶额内侧皮质体积减小联系起来,同时右侧缘上回和双侧枕叶区域皮质厚度增加,以及枕叶亚区域功能连通性增强。与脑成熟延迟组相比,这些特定的脑特征在脑老化加速组中更为明显。此外,这些脑区与空气污染、地区犯罪和人口密度存在显著关联,其中空气污染较低以及地区犯罪率和人口密度较高与脑老化加速组中的脑变化关联更为突出。