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bioRxiv · 10.1101/2022.06.14.494674

Distinct trajectories in low-dimensional neural oscillation state space track dynamic decision-making in humans

Thiery, T.·Rainville, P.·Cisek, P.·Jerbi, K.
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Abstract

The brain evolved to govern behavior in a dynamic world, in which pertinent information about choices is often in flux. Thus, the commitment to an action choice must reflect a balance between monitoring that information and the necessity to act before opportunities are lost. Here, we investigate the mechanisms of dynamic decision-making in humans using low dimensional space representation of brain wide magnetoencephalography recordings. We show that the principal components (PCs) of alpha (9-13 Hz) and beta power (16-24 Hz) are involved in tracking sensory information evolving over time in the sensorimotor and visual cortex. We also found that alpha PCs reflect the commitment to a particular choice, while beta PCs reflect motor execution. Finally, higher frequency components in subcortical areas reflect the adjustment of speed- accuracy tradeoff policies. These results provide a new detailed characterization of the distributed oscillatory brain processes underlying dynamic decision-making in humans.

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Thiery, T., Rainville, P., Cisek, P., Jerbi, K.. 2022-06-16. Distinct trajectories in low-dimensional neural oscillation state space track dynamic decision-making in humans. https://doi.org/10.1101/2022.06.14.494674

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