Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation.

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Title: Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation.
Authors: Zhu, Junda (AUTHOR), Garin, Clément M. (AUTHOR), Qi, Xue-Lian (AUTHOR), Machado, Anna (AUTHOR), Wang, Zhengyang (AUTHOR), Ben Hamed, Suliann (AUTHOR), Stanford, Terrence R. (AUTHOR), Salinas, Emilio (AUTHOR), Whitlow, Christopher T. (AUTHOR), Anderson, Adam W. (AUTHOR), Zhou, Xin Maizie (AUTHOR), Calabro, Finnegan J. (AUTHOR), Luna, Beatriz (AUTHOR), Constantinidis, Christos (AUTHOR)
Source: Nature Neuroscience. Nov2025, Vol. 28 Issue 11, p2344-2355. 12p.
Abstract: In humans and other primates, adolescence is associated with improvement in cognitive abilities and with changes in brain structure and connectivity. However, how these changes affect neural activity underlying cognitive performance remains unknown. Here we conducted a multilevel, longitudinal study of monkey adolescent neurocognitive development by tracking behavior, neuronal activity and anatomical imaging measures. The trajectory of prefrontal neural activity accounted well for working memory improvements. Complex aspects of activity changed progressively during adolescence, but even simpler attributes, such as baseline rate and variability, had predictive power over behavior. Trajectories of neural activity and cognitive performance were well predicted by maturation of long-distance white matter tracts linking the frontal lobe with other brain areas but, surprisingly, not by decreases in brain volume and thickness, which underlie cognitive changes in humans. Our results link white matter maturation to neural activity changes in adolescent cognitive development. Working memory improves during adolescent brain development. Zhu et al. tracked monkeys through adolescence, revealing that maturation of white matter tracts and refinement of neural firing patterns sharpen working memory precision. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: In humans and other primates, adolescence is associated with improvement in cognitive abilities and with changes in brain structure and connectivity. However, how these changes affect neural activity underlying cognitive performance remains unknown. Here we conducted a multilevel, longitudinal study of monkey adolescent neurocognitive development by tracking behavior, neuronal activity and anatomical imaging measures. The trajectory of prefrontal neural activity accounted well for working memory improvements. Complex aspects of activity changed progressively during adolescence, but even simpler attributes, such as baseline rate and variability, had predictive power over behavior. Trajectories of neural activity and cognitive performance were well predicted by maturation of long-distance white matter tracts linking the frontal lobe with other brain areas but, surprisingly, not by decreases in brain volume and thickness, which underlie cognitive changes in humans. Our results link white matter maturation to neural activity changes in adolescent cognitive development. Working memory improves during adolescent brain development. Zhu et al. tracked monkeys through adolescence, revealing that maturation of white matter tracts and refinement of neural firing patterns sharpen working memory precision. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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