Opportunities for increased reproducibility and replicability of developmental neuroimaging.

Opportunities for increased reproducibility and replicability of developmental neuroimaging.
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DOI:
10.1016/j.dcn.2020.100902
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发表时间:
2021-03
影响因子:
4.7
通讯作者:
Mills KL
Mills KL
中科院分区:
医学1区
文献类型:
--
作者:
Klapwijk ET;van den Bos W;Tamnes CK;Raschle NM;Mills KL

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已经提出了许多旨在提高研究成果的可重复性和可复制性的工作流程和工具。在这篇综述中,我们讨论了这些努力为发展认知神经科学领域提供的机会,特别是发展神经影像学。我们专注于与统计能力以及数据分析的灵活性和透明度广泛相关的问题。与统计能力有关的关键考虑因素包括招募和测试年轻人的挑战,如何提高小样本研究的价值,以及与大规模数据集有关的机遇和挑战。发展研究涉及的挑战,如年龄组的选择,寿命建模,纵向变化的分析,以及可以以多种方式处理和分析的数据。因此,数据采集、分析和描述的灵活性可能会对结果产生很大影响。我们讨论了提高发育神经影像学透明度的方法,以及预配准如何提高方法的严谨性。在概述数据收集之前、期间和之后可能出现的挑战和问题的同时,强调了有助于克服其中一些挑战和问题的解决方案和资源。由于有用的工具和技术的数量不断增加,我们强调的事实是,许多做法可以逐步实施。
Many workflows and tools that aim to increase the reproducibility and replicability of research findings have been suggested. In this review, we discuss the opportunities that these efforts offer for the field of developmental cognitive neuroscience, in particular developmental neuroimaging. We focus on issues broadly related to statistical power and to flexibility and transparency in data analyses. Critical considerations relating to statistical power include challenges in recruitment and testing of young populations, how to increase the value of studies with small samples, and the opportunities and challenges related to working with large-scale datasets. Developmental studies involve challenges such as choices about age groupings, lifespan modelling, analyses of longitudinal changes, and data that can be processed and analyzed in a multitude of ways. Flexibility in data acquisition, analyses and description may thereby greatly impact results. We discuss methods for improving transparency in developmental neuroimaging, and how preregistration can improve methodological rigor. While outlining challenges and issues that may arise before, during, and after data collection, solutions and resources are highlighted aiding to overcome some of these. Since the number of useful tools and techniques is ever-growing, we highlight the fact that many practices can be implemented stepwise.
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