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迈向更具包容性和公平性的发展认知神经科学。

Towards a more inclusive and equitable developmental cognitive neuroscience.

机构信息

Department of Cognitive, Linguistic & Psychological Sciences, Brown University, United States; Department of Psychology, Columbia University, United States.

Department of Psychology, Columbia University, United States.

出版信息

Dev Cogn Neurosci. 2021 Dec;52:101014. doi: 10.1016/j.dcn.2021.101014. Epub 2021 Sep 20.

DOI:10.1016/j.dcn.2021.101014
PMID:34571453
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8476647/
Abstract

Brain and cognitive development is a burgeoning area of scientific inquiry, with tremendous potential to better the lives of children. Large scale longitudinal neuroimaging studies offer opportunities for significant scientific advances in our understanding of developing brain structure and function. The proposed manuscript will focus on the scientific potential of the HEALthy Brain and Cognitive Development (HBCD) Study, highlighting what questions these data can and what they cannot answer about child development. Specifically, we caution against the misuse of these data for advancing de-contextualized and scientifically questionable narratives about the development of children from marginalized communities. We will focus on building and organizing a framework for interpreting HBCD data through the lens of sampling, cultural context, measurement, and developmental science theory. Our goal is to thoughtfully offer the scientific community opportunities to use the large scale and collaborative nature of HBCD to collectively revise practices in developmental science that to-date have not carefully considered their own role in perpetuating narratives that support systemic injustice.

摘要

大脑与认知发展是科学研究中一个新兴的领域,具有极大的潜力可以改善儿童的生活。大规模的纵向神经影像学研究为我们理解大脑结构和功能的发展提供了重大的科学进展机会。本研究将集中探讨 HEALthy 大脑与认知发展(HBCD)研究的科学潜力,重点介绍这些数据可以回答哪些关于儿童发展的问题,以及不能回答哪些问题。具体来说,我们要警惕这些数据被错误地用于推进那些关于来自边缘化社区的儿童发展的去语境化和科学上有疑问的叙述。我们将专注于通过抽样、文化背景、测量和发展科学理论的视角,构建和组织解释 HBCD 数据的框架。我们的目标是为科学界提供机会,利用 HBCD 的大规模和协作性质,共同修订发展科学中的实践,这些实践迄今为止没有仔细考虑自己在延续支持系统性不公正的叙述中的作用。

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