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Bridging the big (data) gap: levels of control in small- and large-scale cognitive neuroscience research

Tibon, Roni; Geerligs, Linda; Campbell, Karen

Bridging the big (data) gap: levels of control in small- and large-scale cognitive neuroscience research Thumbnail


Authors

RONI TIBON Roni.Tibon@nottingham.ac.uk
Assistant Professor in Psychology

Linda Geerligs

Karen Campbell



Abstract

Recently, cognitive neuroscience has experienced unprecedented growth in the availability of large-scale datasets. These developments hold great methodological and theoretical promise: they allow increased statistical power, the use of nonparametric and generative models, the examination of individual differences, and more. Nevertheless, unlike most ‘traditional’ cognitive neuroscience research, which uses controlled experimental designs, large-scale projects often collect neuroimaging data not directly related to a particular task (e.g., resting state). This creates a gap between small- and large-scale studies that is not solely due to differences in sample size. Measures obtained with large-scale studies might tap into different neurocognitive mechanisms and thus show little overlap with the mechanisms probed by small-scale studies. In this opinion article, we aim to address this gap and its potential implications for the interpretation of research findings in cognitive neuroscience.

Citation

Tibon, R., Geerligs, L., & Campbell, K. (2022). Bridging the big (data) gap: levels of control in small- and large-scale cognitive neuroscience research. Trends in Neurosciences, 45(7), 507-516. https://doi.org/10.1016/j.tins.2022.03.011

Journal Article Type Review
Acceptance Date Mar 29, 2022
Online Publication Date Apr 22, 2022
Publication Date Jul 1, 2022
Deposit Date May 4, 2022
Publicly Available Date May 6, 2022
Journal Trends in Neurosciences
Print ISSN 0166-2236
Electronic ISSN 1878-108X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 45
Issue 7
Pages 507-516
DOI https://doi.org/10.1016/j.tins.2022.03.011
Keywords General Neuroscience
Public URL https://nottingham-repository.worktribe.com/output/7952730
Publisher URL https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(22)00062-5
Related Public URLs https://www.sciencedirect.com/science/article/pii/S0166223622000625

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