New paper from the lab:
www.nature.com/articles/s41...
A brief thread (1/10)

Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation - Nature Neuroscience
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 s...
Oct 27, 2025 13:28The prefrontal cortex, a brain area critical for executive functioning, has not reached its fully mature state yet in adolescence. Impulsivity, poor decision-making, sensation seeking are hallmarks of adolescent behavior (2/10)
It has been well known that improvement of cognitive performance in adolescence coincides with a number of structural changes in the brain, including volume and surface of the prefrontal cortex and maturation of white matter tracts (3/10)
However the brain alterations responsible for the changes in neural firing rate, which is ultimately altering the maturing cognitive functions, have remained elusive (4/10)
Tracking monkeys from late childhood to adulthood, we combined behavior, MRI, and single-neuron recordings. Our overarching result was that working memory improved as frontal lobe structural connectivity strengthened (5/10)
Prefrontal neuron firing rate generally increased through adolescence, while variability declined, and dimensionality of responses increased, supporting flexible coding and distractor resistance (6/10)
Unlike prior emphasis on gray matter thinning (e.g. due to pruning of unwanted synapses), our study shows cortical volume & thickness poorly predict cognitive maturation. White matter maturation was the key driver (7/10)
Long-distance tracts, including the superior fronto-occipital fasciculus and anterior cingulum, best predicted working memory precision and speed (8/10)
Because rhesus macaque brain development parallels human trajectories, these findings illuminate mechanisms of adolescent cognition and why connectivity disruptions may underlie psychiatric risk (9/10)
Many thanks to the interdisciplinary team that made this study possible - and to my trainees Junda Zhu and Clement Garin who saw it to completion (10/10)