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本文引用的文献

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Establishment of Best Practices for Evidence for Prediction: A Review.建立最佳实践证据预测:综述。
JAMA Psychiatry. 2020 May 1;77(5):534-540. doi: 10.1001/jamapsychiatry.2019.3671.
2
Burden of Cause-Specific Mortality Associated With PM2.5 Air Pollution in the United States.美国 PM2.5 空气污染所致特定原因死亡率负担。
JAMA Netw Open. 2019 Nov 1;2(11):e1915834. doi: 10.1001/jamanetworkopen.2019.15834.
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Common brain disorders are associated with heritable patterns of apparent aging of the brain.常见的脑部疾病与大脑明显衰老的遗传模式有关。
Nat Neurosci. 2019 Oct;22(10):1617-1623. doi: 10.1038/s41593-019-0471-7. Epub 2019 Sep 24.
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Apparent thinning of human visual cortex during childhood is associated with myelination.儿童时期人类视觉皮层的明显变薄与髓鞘形成有关。
Proc Natl Acad Sci U S A. 2019 Oct 8;116(41):20750-20759. doi: 10.1073/pnas.1904931116. Epub 2019 Sep 23.
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Ten Years of as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?作为脑老化神经影像生物标志物的十年:我们获得了哪些见解?
Front Neurol. 2019 Aug 14;10:789. doi: 10.3389/fneur.2019.00789. eCollection 2019.
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A global overview of pleiotropy and genetic architecture in complex traits.复杂性状中的多效性和遗传结构的全球概述。
Nat Genet. 2019 Sep;51(9):1339-1348. doi: 10.1038/s41588-019-0481-0. Epub 2019 Aug 19.
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Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.青少年大脑认知发展研究的图像处理与分析方法
Neuroimage. 2019 Nov 15;202:116091. doi: 10.1016/j.neuroimage.2019.116091. Epub 2019 Aug 12.
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Inter-individual differences in human brain structure and morphology link to variation in demographics and behavior.个体间人脑结构和形态的差异与人口统计学和行为的变化有关。
Elife. 2019 Jul 3;8:e44443. doi: 10.7554/eLife.44443.
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Genomic prediction of cognitive traits in childhood and adolescence.儿童和青少年认知特征的基因组预测。
Mol Psychiatry. 2019 Jun;24(6):819-827. doi: 10.1038/s41380-019-0394-4. Epub 2019 Apr 11.
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The Challenges and Opportunities of Small Effects: The New Normal in Academic Psychiatry.微小效应的挑战与机遇:学术精神病学的新常态
JAMA Psychiatry. 2019 Apr 1;76(4):353-354. doi: 10.1001/jamapsychiatry.2018.4540.

社会认知分层模式与儿童大脑围产期风险。

Patterns of sociocognitive stratification and perinatal risk in the child brain.

机构信息

Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;

Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway.

出版信息

Proc Natl Acad Sci U S A. 2020 Jun 2;117(22):12419-12427. doi: 10.1073/pnas.2001517117. Epub 2020 May 14.

DOI:10.1073/pnas.2001517117
PMID:32409600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7275714/
Abstract

The expanding behavioral repertoire of the developing brain during childhood and adolescence is shaped by complex brain-environment interactions and flavored by unique life experiences. The transition into young adulthood offers opportunities for adaptation and growth but also increased susceptibility to environmental perturbations, such as the characteristics of social relationships, family environment, quality of schools and activities, financial security, urbanization and pollution, drugs, cultural practices, and values, that all act in concert with our genetic architecture and biology. Our multivariate brain-behavior mapping in 7,577 children aged 9 to 11 y across 585 brain imaging phenotypes and 617 cognitive, behavioral, psychosocial, and socioeconomic measures revealed three population modes of brain covariation, which were robust as assessed by cross-validation and permutation testing, taking into account siblings and twins, identified using genetic data. The first mode revealed traces of perinatal complications, including preterm and twin birth, eclampsia and toxemia, shorter period of breastfeeding, and lower cognitive scores, with higher cortical thickness and lower cortical areas and volumes. The second mode reflected a pattern of sociocognitive stratification, linking lower cognitive ability and socioeconomic status to lower cortical thickness, area, and volumes. The third mode captured a pattern related to urbanicity, with particulate matter pollution (PM) inversely related to home value, walkability, and population density, associated with diffusion properties of white matter tracts. These results underscore the importance of a multidimensional and interdisciplinary understanding, integrating social, psychological, and biological sciences, to map the constituents of healthy development and to identify factors that may precede maladjustment and mental illness.

摘要

儿童和青少年期大脑发育过程中行为范围不断扩大,这是复杂的大脑-环境相互作用的结果,并受到独特的生活经历的影响。进入青年期为适应和成长提供了机会,但也增加了对环境干扰的敏感性,例如社交关系、家庭环境、学校和活动质量、经济保障、城市化和污染、药物、文化习俗和价值观等特征,所有这些都与我们的遗传结构和生物学相互作用。我们对 585 种大脑影像表现型和 617 项认知、行为、心理社会和社会经济指标进行了 7577 名 9 至 11 岁儿童的多元大脑-行为映射,发现了三种大脑共变的人群模式,这些模式通过交叉验证和置换检验得到了很好的验证,考虑到兄弟姐妹和双胞胎,使用遗传数据进行了识别。第一种模式揭示了围产期并发症的痕迹,包括早产和双胞胎出生、子痫和毒血症、母乳喂养时间较短以及认知评分较低,同时伴随着较高的皮质厚度和较低的皮质面积和体积。第二种模式反映了一种社会认知分层模式,将较低的认知能力和社会经济地位与较低的皮质厚度、面积和体积联系起来。第三种模式捕捉到与城市化有关的模式,与人口密度有关,其中颗粒物污染 (PM) 与家庭价值、可步行性和人口密度呈负相关,与白质束的扩散特性有关。这些结果强调了多维和跨学科理解的重要性,整合社会、心理和生物学科学,以绘制健康发展的构成要素,并确定可能导致适应不良和精神疾病的因素。