How to capture developmental brain dynamics: gaps and solutions

Nienke van Atteveldt*, Maaike Vandermosten, Wouter Weeda, Milene Bonte

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


Capturing developmental and learning-induced brain dynamicsis extremely challenging as changes occur interactively acrossmultiple levels and emerging functions. Different levels include the (social) environment, cognitive and behavioral levels,structural and functional brain changes, and genetics, while functions include domains such as math, reading, and executivefunction. Here, we report the insights that emerged from the workshop“Capturing Developmental Brain Dynamics”,organizedto bring together multidisciplinary approaches to integrate data on development and learning across different levels, functions,and time points. During the workshop, current main gaps in our knowledge and tools were identified including the need for: (1)common frameworks, (2) longitudinal, large-scale, multisite studies using representative participant samples, (3) understandinginterindividual variability, (4) explicit distinction of understanding versus predicting, and (5) reproducible research. Afterillustrating interactions across levels and functions during development, we discuss the identified gaps and provide solutions toadvance the capturing of developmental brain dynamics
Original languageEnglish
Article number10
Pages (from-to)1-7
Number of pages7
JournalNPJ Science of learning
Issue number1
Early online date3 May 2021
Publication statusPublished - Dec 2021

Bibliographical note

Funding Information:
The workshop “Capturing Developmental Brain Dynamics”, which was the basis for this article, was supported by the NIAS-Lorentz center, KNAW congressubsidiefonds, BrainProducts, MedCat, Maastricht University, research institute Learn! (Vrije Universiteit Amsterdam), the Leiden University Fund (LUF), and Leiden University (Methodology and Statistics Unit, Department of Psychology). N.v.A. was supported by a Starting grant from the European Research Council (ERC, grant #716736) and M.B. by a Vidi grant from The Netherlands Organization for Scientific Research (NWO, grant #452-16-004).

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