在这项工作中，该课题组将649个变量映射到儿童的大脑中，并将得到的BWAS图谱彼此之间以及与神经生物学参考模式进行比较。社会经济地位（SES）显示出最强的全脑关联。SES关联在运动和感觉区域最强，而不是认知区域，这种模式在许多BWAS地图上共享，包括智商（IQ）。单一的、共同的BWAS大脑模式存在于各种变量中，最能反映儿童的社会经济状况。SES的调整削弱了脑智商的关联，消除了BWAS的运动和感觉模式。在高社会经济地位的子样本上进行训练时，大脑与智商的关联也没有普遍化。其中，儿童的大脑与SES变化最大，可能是由于SES依赖的睡眠剥夺和压力。
据介绍，先前的全脑关联研究（BWAS）已经将特定的环境和行为变量与大脑变异性联系起来。
附：英文原文
Title: Patterns of brain-wide associations reflect socioeconomics
Author: Scott Marek, Meghan Rose Donohue, Nicole R. Karcher, Caroline P. Hoyniak, Roselyne J. Chauvin, Ashley C. Meyer, John Miller, Andrew N. Van, Anxu Wang, Noah J. Baden, Vahdeta Suljic, Kristen M. Scheidter, Julia Monk, Forrest I. Whiting, Nadeshka J. Ramirez-Perez, Samuel R. Krimmel, Athanasia Metoki, Sarah E. Paul, Aaron J. Gorelik, Timothy J. Hendrickson, Stephen M. Malone, Rebecca F. Schwarzlose, Carlos Cardenas-Iniguez, Megan M. Herting, Steven E. Petersen, Joan Luby, Anita C. Randolph, Michael J. Shanahan, Eric Turkheimer, Benjamin P. Kay, Evan M. Gordon, Timothy O. Laumann, Deanna M. Barch, Damien A. Fair, Brenden Tervo-Clemmens, Nico U. F. Dosenbach
Issue&Volume: 2026-06-11
Abstract: Previous brain-wide association studies (BWAS) have linked specific environmental and behavioral variables to brain variability. In this work, we mapped 649 variables to children’s brains and compared the resultant BWAS maps with each other and with neurobiological reference patterns. Socioeconomic status (SES) showed the strongest brain-wide associations. The SES associations were strongest in motor and sensory but not cognitive regions, a pattern shared across many BWAS maps, including intelligence quotient (IQ). A single, common BWAS brain pattern existed across variables that was most reflective of a child’s socioeconomics. Adjusting for SES weakened brain-IQ associations, eliminating the BWAS motor and sensory pattern. Brain-with-IQ associations also did not generalize when trained on higher-SES subsamples. Thus, children’s brains vary the most with SES, potentially through SES-dependent sleep deprivation and stress.
DOI: aee6213
Source: https://www.science.org/doi/10.1126/science.aee6213