The human brain exhibits significant regional variability at molecular, anatomical, and physiological levels. To address how this diversity impacts neuronal dynamics involving multiple brain regions, a computational model has been created, integrating structural connectivity and the regional distribution of muscarinic receptors related to neuronal excitability.
Simulations using this model, ranging from wakefulness-like patterns to sleep-specific dynamics, have shown that the spatial distribution of these receptors helps organize the coordination between brain regions and the transmission of information within the neural network.
“"Our results indicate that molecular heterogeneity is not just biological noise. The way wiring and different receptors are distributed in the brain is fundamental for generating efficient communication patterns and facilitating transitions between different brain states."
The study also indicates that this spatial organization favors information flow between regions and contributes to phenomena such as localized slow brain waves, observed during sleep or in situations associated with lapses in attention or brain injuries.
“"This work shows that one of the challenges in understanding brain function is integration across different scales, from the molecular information characterizing each brain region to the functional and anatomical connectivity at a macroscopic scale that we can measure clinically. Computational models of the brain are fundamental to achieving this."
Although the results do not have immediate clinical applications, the model offers a new conceptual framework for better understanding phenomena observed in patients, such as cognitive deficits after brain injury or alterations in consciousness. It represents an important step towards developing personalized computational models that integrate both the connectome and the neurochemical profile of each patient.
