Variation in moment-to-moment brain state engagement follows a consistent trajectory during development.

IF 15 1区 医学 Q1 NEUROSCIENCES
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, Dustin Scheinost
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引用次数: 0

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 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.

在发展过程中,大脑每时每刻的状态变化遵循着一致的轨迹。
神经变异性,或大脑信号的变化,促进了大脑对持续需求的动态反应。这种灵活性在从童年到青年时期的发展过程中很重要,这一时期的特点是经验的迅速变化。然而,在发育过程中,大脑状态参与的可变性是如何变化的,我们所知甚少。这样的调查需要同时对多个大脑状态进行持续的评估。在这里,我们利用一个新的计算框架来描述状态参与可变性(SEV)的发展轨迹。在横断面和纵向数据集中,SEV随年龄变化的模式一致(N > 3,000)。SEV的发育轨迹在青春期中期左右稳定下来,时间因性别和大脑状态而异。SEV从一个独立的数据集成功地预测了年轻人的执行功能(EF)。SEV发展的偏差进一步与EF恶化有关。这些趋同的发现表明,SEV随着发育而变化,允许个体灵活地招募不同的大脑状态来满足不断变化的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuron
Neuron 医学-神经科学
CiteScore
24.50
自引率
3.10%
发文量
382
审稿时长
1 months
期刊介绍: Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.
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