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Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4615725
Author(s) Lin, Qian; Manley, Jason; Helmreich, Magdalena; Schlumm, Friederike; Li, Jennifer M.; Robson, Drew N.; Engert, Florian; Schier, Alexander; Nöbauer, Tobias; Vaziri, Alipasha
Author(s) at UniBasel Schier, Alexander
Year 2020
Title Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level
Journal Cell
Volume 180
Number 3
Pages / Article-Number 536-551.e17
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
Abstract 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.
Publisher Elsevier
ISSN/ISBN 1097-4172
edoc-URL https://edoc.unibas.ch/81817/
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.cell.2019.12.018
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/31955849
Document type (ISI) Journal Article
 
   

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