Evidence map›Paper›PMID 41676667›Full record

ArticlebioRxiv : the preprint server for biology2026

Cerebellar circuits anticipate dopamine rewards.

Benjamin A Filio, Amma Otchere, Subhiksha Srinivasan, Srijan Thota, Luke Drake, Lizmaylin Ramos, Philipp Maurus, Mark J Wagner

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Benjamin A FilioNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Amma OtchereNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Subhiksha SrinivasanNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Srijan ThotaNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Luke DrakeNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Lizmaylin RamosNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Philipp MaurusNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.
Mark J WagnerNational Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD 20894, USA.ORCID 0000-0003-1816-6407

Funding

Neocortex-cerebellum Circuitry Unit ZIANS009434 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI WAGNER, MARK · 2022 to 2025
$8.8M
Intramural NIH HHS ZIA NS009434
6 · The paper itself

Abstract

Predicting rewards is critical for learning. Although the cerebellum predicts rewards like water and food, it also famously coordinates physical actions like drinking and eating. To disentangle reward prediction from the movements to consume reward, we trained mice to push for delayed dopamine rewards delivered directly into the brain. Via two-photon imaging, we found that many cerebellar granule cells (GrCs) anticipated dopamine with sustained activity that terminated at reward delivery. GrC activity also "stretched" to match 1- or 2-s intervals before dopamine, thereby linking the action to the expected reward time. By contrast, most cerebellar climbing fibers (CFs) spiked just after dopamine delivery. GrC-CF activity also generalized between dopamine versus water rewards, both in individual mice and many individual neurons. Finally, naïve mice 'rewarded' only with CF stimulation also learned to execute a modest number of pushing movements, with similar predictive GrC activity. Thus, cerebellar circuits help animals learn to anticipate rewards even when no consummatory action is needed, suggesting deeper cerebellar integration in brain reward prediction networks.

Identifiers

PMID41676667
PMCPMC12889654

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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.