Opportunities for increased reproducibility and replicability of developmental neuroimaging
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 focu...
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doaj-cbc72a0c2a6c41da89d88c0ac1f13cf32021-01-22T04:49:36ZengElsevierDevelopmental Cognitive Neuroscience1878-92932021-02-0147100902Opportunities for increased reproducibility and replicability of developmental neuroimagingEduard T. Klapwijk0Wouter van den Bos1Christian K. Tamnes2Nora M. Raschle3Kathryn L. Mills4Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, the Netherlands; Institute of Psychology, Leiden University, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden, the Netherlands; Corresponding author at: Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA Rotterdam, the Netherlands.Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands; Max Planck Institute for Human Development, Center for Adaptive Rationality, Berlin, GermanyPROMENTA Research Center, Department of Psychology, University of Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatry, Diakonhjemmet Hospital, Oslo, NorwayJacobs Center for Productive Youth Development at the University of Zurich, Zurich, SwitzerlandPROMENTA Research Center, Department of Psychology, University of Oslo, Norway; Department of Psychology, University of Oregon, Eugene, OR, USAMany 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.http://www.sciencedirect.com/science/article/pii/S1878929320301511DevelopmentOpen scienceSample sizeCognitive neuroscienceTransparencyPreregistration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eduard T. Klapwijk Wouter van den Bos Christian K. Tamnes Nora M. Raschle Kathryn L. Mills |
spellingShingle |
Eduard T. Klapwijk Wouter van den Bos Christian K. Tamnes Nora M. Raschle Kathryn L. Mills Opportunities for increased reproducibility and replicability of developmental neuroimaging Developmental Cognitive Neuroscience Development Open science Sample size Cognitive neuroscience Transparency Preregistration |
author_facet |
Eduard T. Klapwijk Wouter van den Bos Christian K. Tamnes Nora M. Raschle Kathryn L. Mills |
author_sort |
Eduard T. Klapwijk |
title |
Opportunities for increased reproducibility and replicability of developmental neuroimaging |
title_short |
Opportunities for increased reproducibility and replicability of developmental neuroimaging |
title_full |
Opportunities for increased reproducibility and replicability of developmental neuroimaging |
title_fullStr |
Opportunities for increased reproducibility and replicability of developmental neuroimaging |
title_full_unstemmed |
Opportunities for increased reproducibility and replicability of developmental neuroimaging |
title_sort |
opportunities for increased reproducibility and replicability of developmental neuroimaging |
publisher |
Elsevier |
series |
Developmental Cognitive Neuroscience |
issn |
1878-9293 |
publishDate |
2021-02-01 |
description |
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. |
topic |
Development Open science Sample size Cognitive neuroscience Transparency Preregistration |
url |
http://www.sciencedirect.com/science/article/pii/S1878929320301511 |
work_keys_str_mv |
AT eduardtklapwijk opportunitiesforincreasedreproducibilityandreplicabilityofdevelopmentalneuroimaging AT woutervandenbos opportunitiesforincreasedreproducibilityandreplicabilityofdevelopmentalneuroimaging AT christianktamnes opportunitiesforincreasedreproducibilityandreplicabilityofdevelopmentalneuroimaging AT noramraschle opportunitiesforincreasedreproducibilityandreplicabilityofdevelopmentalneuroimaging AT kathrynlmills opportunitiesforincreasedreproducibilityandreplicabilityofdevelopmentalneuroimaging |
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1724328716961579008 |