Title: Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level
Author: Qian Lin, Jason Manley, Magdalena Helmreich, Friederike Schlumm, Jennifer M. Li, Drew N. Robson, Florian Engert, Alexander Schier, Tobias Nbauer, Alipasha Vaziri
Issue&Volume: January 16, 2020
Abstract: Goal-directed behavior requires the interaction of multiple brain regions. How theseregions and their interactions with brain-wide activity drive action selection isless understood. We have investigated this question by combining whole-brain volumetriccalcium imaging using light-field microscopy and an operant-conditioning task in larvalzebrafish. We find global, recurring dynamics of brain states to exhibit pre-motorbifurcations toward mutually exclusive decision outcomes. These dynamics arise froma distributed network displaying trial-by-trial functional connectivity changes, especiallybetween cerebellum and habenula, which correlate with decision outcome. Within thisnetwork the cerebellum shows particularly strong and predictive pre-motor activity(>10 s before movement initiation), mainly within the granule cells. Turn directionsare determined by the difference neuroactivity between the ipsilateral and contralateralhemispheres, while the rate of bi-hemispheric population ramping quantitatively predictsdecision time on the trial-by-trial level. Our results highlight a cognitive roleof the cerebellum and its importance in motor planning.