Variation in moment-to-moment brain state engagement follows a consistent trajectory during development
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 mome...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
November 19, 2025
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| In: |
Neuron
Year: 2025, Jahrgang: 113, Heft: 22, Pages: 3863-3875, 1-6 |
| ISSN: | 1097-4199 |
| DOI: | 10.1016/j.neuron.2025.08.020 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neuron.2025.08.020 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0896627325006294 
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| Verfasserangaben: | Jean Ye, Link Tejavibulya, Wei Dai, Lora M. Cope, Jillian E. Hardee, Mary M. Heitzeg, Sarah Lichenstein, Sarah W. Yip, Tobias Banaschewski, Gareth J. Baker, Arun L.W. Bokde, Rüdiger Brühl, Sylvane Desrivières, Herta Flor, Penny Gowland, Antoine Grigis, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Christian Baeuchl, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Hugh Garavan, Bader Chaarani, Dylan G. Gee, Arielle Baskin-Sommers, B.J. Casey, and Dustin Scheinost, IMAGEN Consortium, Dustin Scheinost |
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| 245 | 1 | 0 | |a Variation in moment-to-moment brain state engagement follows a consistent trajectory during development |c Jean Ye, Link Tejavibulya, Wei Dai, Lora M. Cope, Jillian E. Hardee, Mary M. Heitzeg, Sarah Lichenstein, Sarah W. Yip, Tobias Banaschewski, Gareth J. Baker, Arun L.W. Bokde, Rüdiger Brühl, Sylvane Desrivières, Herta Flor, Penny Gowland, Antoine Grigis, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Christian Baeuchl, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Hugh Garavan, Bader Chaarani, Dylan G. Gee, Arielle Baskin-Sommers, B.J. Casey, and Dustin Scheinost, IMAGEN Consortium, Dustin Scheinost |
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| 520 | |a 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 moment-to-moment brain state engagement changes during development. Such investigations would require the continuous assessment of multiple brain states concurrently. Here, we leverage a new computational framework to characterize the state engagement variability (SEV) developmental trajectory. A consistent pattern of SEV changing with age is identified across cross-sectional and longitudinal datasets (N > 3,000). The SEV developmental trajectory stabilizes around mid-adolescence, with timing varying by sex and brain state. SEV successfully predicts executive function (EF) in youth from an independent dataset. Deviations in SEV development are further linked to worse EF. These converging findings suggest that SEV changes over development, allowing individuals to flexibly recruit various brain states to meet evolving needs. | ||
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| 650 | 4 | |a executive function | |
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| 650 | 4 | |a neural variability | |
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