Neuroscience, Brain connectivity and Machine Learning
Neuroscience, Brain connectivity and Machine Learning

Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures

I. Diez, F. Garcia-Moreno, N. Carral-Sainz, S. Stramaglia, A. Nieto-Reyes, M. D’Amato, J.M. Cortes, P. Bonifazi. Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures. Nat Comm. In press, 2026 [pdf] bioRxiv: [2022.04.01.48654]

Understanding the architectural principles that shape human brain networks is a major challenge for systems neuroscience. We hypothesize that the centrality of the different brain circuits in the human connectome is a product of their embryogenic age, such that early-born nodes should become stronger hubs than those born later. Using a human brain segmentation based on embryogenic age, we observed that nodes’ structural centrality correlated with their embryogenic age, supporting our hypothesis. An opposite trend was found at functional level. The difference in embryonic age between nodes inversely correlated with the probability of existence of links and their weights. Brain transcriptomic analysis revealed strong associations between embryonic age, structure-function centrality, and the expression of genes related to nervous system development, synapse regulation and human neurological diseases. Our results highlight two key principles regarding the wiring of the human brain: older-get-richer rule, whereby earlier-born regions become network hubs, and a preferential-age-attachment rule, whereby regions preferentially connect to others with similar neurogenic timing.

This website uses its own cookies for its proper functioning and better user experience. By navigating this website and/or clicking the Accept button, you agree to the use of these technologies and the processing of your data for these purposes. More information    Privacy policy
Privacidad