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bioRxiv
BIORXIV
bioRxiv
2692-8205
Cold Spring Harbor Laboratory

10.1101/2024.09.06.611627
preprint
1
Article
Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive function
Ye Jean
Tejavibulya Link
Dai Wei
Cope Lora M.
Hardee Jillian E.
Heitzeg Mary M.
Lichenstein Sarah
Yip Sarah W.
Banaschewski Tobias
Baker Gareth J.
Bokde Arun L.W.
Brühl Rüdiger
Desrivières Sylvane
Flor Herta
Gowland Penny
Grigis Antoine
Heinz Andreas
Martinot Jean-Luc
Paillère Martinot Marie-Laure
Artiges Eric
Nees Frauke
Orfanos Dimitri Papadopoulos
Poustka Luise
Hohmann Sarah
Holz Nathalie
Baeuchl Christian
Smolka Michael N.
Vaidya Nilakshi
Walter Henrik
Whelan Robert
Schumann Gunter
Garavan Hugh
Chaarani Bader
Gee Dylan G.
Baskin-Sommers Arielle
Casey BJ
IMAGEN consortium
Scheinost Dustin
11 9 2024
2024.09.06.611627https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
http://biorxiv.org/lookup/doi/10.1101/2024.09.06.611627
nihpp-2024.09.06.611627.pdf
Abstract

Neural variability, or variation in brain signals, facilitates dynamic brain responses to ongoing demands. This flexibility is important during development from childhood to young adulthood, a period characterized by rapid changes in experience. However, little is known about how variability in the engagement of recurring brain states changes during development. Such investigations would require the continuous assessment of multiple brain states concurrently. Here, we leverage a new computational framework to study state engagement variability (SEV) during development. A consistent pattern of SEV changing with age was identified across cross-sectional and longitudinal datasets (N>3000). SEV developmental trajectories stabilize around mid-adolescence, with timing varying by sex and brain state. SEV successfully predicts executive function (EF) in youths from an independent dataset. Worse EF is further linked to alterations in SEV development. These converging findings suggest SEV changes over development, allowing individuals to flexibly recruit various brain states to meet evolving needs.
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