Developmental cognitive neuroscience using latent change score models: A tutorial and applications.
View / Open Files
Authors
Brandmaier, Andreas M
Ziegler, Gabriel
de Mooij, Susanne MM
Moutoussis, Michael
NSPN Consortium,
Lindenberger, Ulman
Dolan, Raymond J
Publication Date
2018-10Journal Title
Developmental cognitive neuroscience
ISSN
1878-9293
Publisher
Elsevier
Volume
33
Pages
99-117
Language
eng
Type
Article
This Version
VoR
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Kievit, R., Brandmaier, A. M., Ziegler, G., van Harmelen, A., de Mooij, S. M., Moutoussis, M., Goodyer, I., et al. (2018). Developmental cognitive neuroscience using latent change score models: A tutorial and applications.. Developmental cognitive neuroscience, 33 99-117. https://doi.org/10.1016/j.dcn.2017.11.007
Abstract
Assessing and analysing individual differences in change over time is of central scientific importance to developmental neuroscience. However, the extant literature is based largely on cross-sectional comparisons, which reflect a variety of influences and cannot directly represent change. We advocate using latent change score (LCS) models in longitudinal samples as a statistical framework to tease apart the complex processes underlying lifespan development in brain and behaviour using longitudinal data. LCS models provide a flexible framework that naturally accommodates key developmental questions as model parameters and can even be used, with some limitations, in cases with only two measurement occasions. We illustrate the use of LCS models with two empirical examples. In a lifespan cognitive training study (COGITO, N=204, two waves) we observe correlated change in brain and behaviour in the context of a high-intensity training intervention. In an adolescent development cohort (NSPN, N=176, two waves) we find greater variability in cortical thinning in males than in females. To facilitate the adoption of LCS by the developmental community, we provide analysis code that can be adapted by other researchers and basic primers in two freely available SEM software packages (lavaan and Ωnyx).
Keywords
NSPN Consortium, Humans, Models, Statistical, Cross-Sectional Studies, Cognitive Neuroscience
Sponsorship
Royal Society (DH150176)
Wellcome Trust (107392/Z/15/Z)
European Commission Horizon 2020 (H2020) ERC (732592)
Medical Research Council (MC_UP_1401/1)
Wellcome Trust (095844/Z/11/Z)
Identifiers
External DOI: https://doi.org/10.1016/j.dcn.2017.11.007
This record's URL: https://www.repository.cam.ac.uk/handle/1810/277222
Recommended or similar items
The following licence files are associated with this item: