ZFIN ID: ZDB-PUB-200121-1
Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level
Lin, Q., Manley, J., Helmreich, M., Schlumm, F., Li, J.M., Robson, D.N., Engert, F., Schier, A., Nöbauer, T., Vaziri, A.
Date: 2020
Source: Cell   180(3): 536-551.e17 (Journal)
Registered Authors: Engert, Florian, Robson, Drew, Schier, Alexander
Keywords: Cerebellum, Light field microscopy, action selection, decision making, demixed principal component analysis, motor planning, operant learning, population ramping activity, whole-brain calcium imaging, zebrafish
MeSH Terms:
  • Animals
  • Behavior, Animal/physiology
  • Brain Mapping/methods
  • Cerebellum/physiology*
  • Cerebrum/physiology
  • Cognition/physiology
  • Conditioning, Operant/physiology
  • Decision Making/physiology*
  • Goals
  • Habenula/physiology
  • Hot Temperature
  • Larva/physiology
  • Motor Activity/physiology
  • Movement
  • Neurons/physiology
  • Psychomotor Performance/physiology
  • Reaction Time/physiology*
  • Rhombencephalon/physiology
  • Zebrafish/physiology*
PubMed: 31955849 Full text @ Cell
Goal-directed behavior requires the interaction of multiple brain regions. How these regions and their interactions with brain-wide activity drive action selection is less understood. We have investigated this question by combining whole-brain volumetric calcium imaging using light-field microscopy and an operant-conditioning task in larval zebrafish. We find global, recurring dynamics of brain states to exhibit pre-motor bifurcations toward mutually exclusive decision outcomes. These dynamics arise from a distributed network displaying trial-by-trial functional connectivity changes, especially between cerebellum and habenula, which correlate with decision outcome. Within this network the cerebellum shows particularly strong and predictive pre-motor activity (>10 s before movement initiation), mainly within the granule cells. Turn directions are determined by the difference neuroactivity between the ipsilateral and contralateral hemispheres, while the rate of bi-hemispheric population ramping quantitatively predicts decision time on the trial-by-trial level. Our results highlight a cognitive role of the cerebellum and its importance in motor planning.