Adams Eryn J, Scott Molly E, Amarante Melina, Ramírez Chanel A, Rowley Stephanie J, Noble Kimberly G, Troller-Renfree Sonya V
Department of Psychology, University of New Orleans, New Orleans, LA, 70148, USA.
Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, 10027, USA.
NPJ Sci Learn. 2024 Apr 2;9(1):27. doi: 10.1038/s41539-024-00240-y.
The past two decades have seen a rapid increase in neuroscientific evidence being used to characterize how contextual, structural, and societal factors shape cognition and school readiness. Measures of functional brain activity are increasingly viewed as markers of child development and biomarkers that could be employed to track the impact of interventions. While electroencephalography (EEG) provides a promising tool to understand educational inequities, traditional EEG data acquisition is commonly limited in some racial and ethnic groups due to hair types and styles. This ultimately constitutes unintentional systemic racism by disproportionately excluding participants from certain racial and ethnic groups from participation and representation in neuroscience research. Here, we provide a comprehensive review of how cultural considerations surrounding hair density, texture, and styling consistently skew samples to be less representative by disproportionately excluding Black and Latinx participants. We also provide recommendations and materials to promote best practices.
在过去二十年中,越来越多的神经科学证据被用于描述情境、结构和社会因素如何塑造认知和入学准备。功能性脑活动测量越来越被视为儿童发育的标志和生物标志物,可用于追踪干预措施的影响。虽然脑电图(EEG)为理解教育不平等提供了一个有前景的工具,但由于发型和发质的原因,传统的EEG数据采集在一些种族和族裔群体中通常受到限制。这最终构成了无意的系统性种族主义,因为某些种族和族裔群体的参与者被不成比例地排除在神经科学研究的参与和代表性之外。在这里,我们全面回顾了围绕头发密度、质地和造型的文化因素如何持续地使样本产生偏差,使其代表性降低,因为黑人与拉丁裔参与者被不成比例地排除在外。我们还提供了促进最佳实践的建议和材料。