Evidence map›Paper›PMID 31955849›Full record

ArticleCell2020

Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level.

Qian Lin, Jason Manley, Magdalena Helmreich, Friederike Schlumm, Jennifer M Li, Drew N Robson, Florian Engert, Alexander Schier, Tobias Nöbauer, Alipasha Vaziri

Abstract read
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Article
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  7. Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026
    Review
  8. Article
  9. Review
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  11. Review
  12. Article
  13. Article
  14. Article
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  19. Article
  20. Cerebellar Purkinje Cells Control Posture in Larval Zebrafish (bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Qian LinLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA.
Jason ManleyLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA.
Magdalena HelmreichResearch Institute of Molecular Pathology, 1030 Vienna, Austria.
Friederike SchlummResearch Institute of Molecular Pathology, 1030 Vienna, Austria.
Jennifer M LiRowland Institute, Harvard University, Cambridge, MA 02142, USA.
Drew N RobsonRowland Institute, Harvard University, Cambridge, MA 02142, USA.
Florian EngertDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
Alexander SchierDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA; Biozentrum, University of Basel, 4056 Basel, Switzerland.
Tobias NöbauerLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA.
Alipasha VaziriLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA; Research Institute of Molecular Pathology, 1030 Vienna, Austria; The Kavli Neural Systems Institute, The Rockefeller University, New York, NY 10065, USA. Electronic address: vaziri@rockefeller.edu.

Funding

Zooming into the fish's brain-What is really going on! Connectomics analysis of larval zebrafish.U19NS104653 · NINDS · HARVARD UNIVERSITY · PI MARK C FISHMAN · 2017 to 2026
$39.4M
DNA-mediated recording of cellular historyDP1HD094764 · NICHD · HARVARD UNIVERSITY · PI SCHIER, ALEXANDER F · 2017 to 2019
$3.5M
Parallelized Imaging and Automated Analysis of Zebrafish Assays with a Gigapixel MicroscopeR44OD024879 · OD · RAMONA OPTICS, INC. · PI HARFOUCHE, MARK · 2018 to 2022
$3.5M
Lensless, high-speed and multi-region volumetric Ca2+ imaging of up to 1cm2 brain surface across model animalsRF1NS110501 · NINDS · ROCKEFELLER UNIVERSITY · PI ROBINSON, JACOB T., VAZIRI, ALIPASHA · 2019 to 2019
$2.8M
Cortex-wide volumetric imaging of neuronal activity.U01NS103488 · NINDS · ROCKEFELLER UNIVERSITY · PI VAZIRI, ALIPASHA · 2017 to 2019
$2.7M
In vivo Imaging of Neuroactivity in the Deep Forward Scattering Regime Using Speckle Identification and Demixing (SPID) MicroscopyRF1NS113251 · NINDS · ROCKEFELLER UNIVERSITY · PI GIGAN, SYLVAIN, VAZIRI, ALIPASHA · 2019 to 2019
$2.1M
KITP Interdisciplinary Biology InitiativeR25GM067110 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SHRAIMAN, BORIS I · 2003 to 2018
$1.8M
MOLECULAR GENETICS OF SENSORY GANGLIA DEVELOPMENTR01NS049319 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SCHIER, ALEXANDER F · 2004 to 2007
$1.2M
Transgenic zebrafish for neurobiologyR24NS086601 · NINDS · HARVARD UNIVERSITY · PI ENGERT, FLORIAN · 2014 to 2017
$1.2M
High-Resolution, Parallelized Imaging of Freely Swimming Zebrafish with a Gigapixel MicroscopeR43OD024879 · OD · RAMONA OPTICS, INC. · PI HARFOUCHE, MARK, HORSTMEYER, ROARKE · 2017 to 2017
$225k
NICHD NIH HHS DP1 HD094764NIGMS NIH HHS R25 GM067110NIH HHS R43 OD024879NIH HHS R44 OD024879NINDS NIH HHS R01 NS049319NINDS NIH HHS R24 NS086601NINDS NIH HHS RF1 NS110501NINDS NIH HHS RF1 NS113251NINDS NIH HHS U01 NS103488NINDS NIH HHS U19 NS104653
6 · The paper itself

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.

Indexed as

AnimalsBehavior, AnimalBrain MappingCerebellumCerebrumCognitionConditioning, OperantDecision MakingGoalsHabenulaHot TemperatureLarvaMotor ActivityMovementNeuronsPsychomotor Performanceaction selectionCerebellumdecision makingdemixed principal component analysisLight field microscopymotor planningoperant learningpopulation ramping activitywhole-brain calcium imagingzebrafish

Identifiers

PMID31955849
PMCPMC7299501

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.