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Developmental cognitive neuroscience using Latent Change Score models: A tutorial and applications

Kievit, RA; Brandmaier, AM; Ziegler, G; Van Harmelen, AL; De Mooij, SMM; Moutoussis, M; Goodyer, IM; ... Dolan, RJ; + view all (2018) Developmental cognitive neuroscience using Latent Change Score models: A tutorial and applications. Developmental Cognitive Neuroscience , 33 pp. 99-117. 10.1016/j.dcn.2017.11.007. Green open access

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Abstract

Assessing and analysing individual differences in change over time is of central scientific importance to developmental neuroscience. However, the 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 (N = 32 imaging) on 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).

Type: Article
Title: Developmental cognitive neuroscience using Latent Change Score models: A tutorial and applications
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.dcn.2017.11.007
Publisher version: https://doi.org/10.1016/j.dcn.2017.11.007
Language: English
Additional information: Copyright © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Keywords: Latent change scores, longitudinal modelling, development, individual differences, structural equation modelling, adolescence
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10038063
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