Evidence map›Paper›PMID 29325701›Full record

ReviewDevelopmental cognitive neuroscience2018

Developmental cognitive neuroscience using latent change score models: A tutorial and applications.

Rogier A Kievit, Andreas M Brandmaier, Gabriel Ziegler, Anne-Laura van Harmelen, Susanne M M de Mooij, Michael Moutoussis, Ian M Goodyer, Ed Bullmore, Peter B Jones, Peter Fonagy and 3 more

Abstract readReview
In one paragraph

Review in Developmental cognitive neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

214 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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154 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Rogier A KievitMax Planck Centre for Computational Psychiatry and Ageing Research, London/Berlin; MRC Cognition and Brain Sciences Unit University of Cambridge, Cambridge, 15 Chaucer Rd, Cambridge CB2 7EF. Electronic address: rogier.kievit@mrc-cbu.cam.ac.uk.
Andreas M BrandmaierMax Planck Centre for Computational Psychiatry and Ageing Research, London/Berlin; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Gabriel ZieglerInstitute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Anne-Laura van HarmelenDepartment of Psychiatry, University of Cambridge, United Kingdom.
Susanne M M de MooijDepartment of Psychological Methods, University of Amsterdam.
Michael MoutoussisMax Planck Centre for Computational Psychiatry and Ageing Research, London/Berlin; The Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3BG, United Kingdom.
Ian M GoodyerDepartment of Psychiatry, University of Cambridge, United Kingdom.
Ed BullmoreDepartment of Psychiatry, University of Cambridge, United Kingdom; Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, CB21 5EF, United Kingdom; ImmunoPsychiatry, GlaxoSmithKline Research and Development, Stevenage SG1 2NY, United Kingdom; Medical Research Council/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge.
Peter B JonesDepartment of Psychiatry, University of Cambridge, United Kingdom; Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, CB21 5EF, United Kingdom.
Peter FonagyResearch Department of Clinical, Educational and Health Psychology, University College London.
NSPN ConsortiumSee supplementary information for a full list of contributors.
Ulman LindenbergerMax Planck Centre for Computational Psychiatry and Ageing Research, London/Berlin; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; European University Institute, San Domenico di Fiesole (FI), Italy.
Raymond J DolanMax Planck Centre for Computational Psychiatry and Ageing Research, London/Berlin; The Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3BG, United Kingdom.

Funding

Medical Research Council MC-A060-5PR61Medical Research Council MC_UP_1401/1Medical Research Council MC_UU_00005/9MRF_ MRF-160-0007-ELP-VANHAWellcome Trust 107392/Z/15/Z
6 · The paper itself

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).

Indexed as

Cognitive NeuroscienceCross-Sectional StudiesHumansModels, StatisticalAdolescenceDevelopmentIndividual differencesLatent change scoresLongitudinal modellingStructural equation modelling

Identifiers

PMID29325701
PMCPMC6614039

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.