Evidence map›Paper›PMID 41279252›Full record

ArticlebioRxiv : the preprint server for biology2025

Tachykinin 1-expressing neurons in the lateral habenula signal negative reward prediction error.

Kana E Suzuki, Tharusha A Seagoe, Blake Holcomb, Jackie R Kuyat, Emily L Sylwestrak

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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
–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

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

5 authors.

Kana E SuzukiDepartment of Biology, University of Oregon, Eugene, OR.ORCID 0000-0001-5754-3792
Tharusha A SeagoeInstitute of Neuroscience, University of Oregon, Eugene, OR.
Blake HolcombInstitute of Neuroscience, University of Oregon, Eugene, OR.ORCID 0000-0003-3315-595X
Jackie R KuyatDepartment of Biology, University of Oregon, Eugene, OR.
Emily L SylwestrakDepartment of Biology, University of Oregon, Eugene, OR.ORCID 0000-0002-1172-6523

Funding

Peptidergic neurons in error computations and behavioral flexibilityRF1NS132914 · NINDS · UNIVERSITY OF OREGON · PI SYLWESTRAK, EMILY L · 2023 to 2023
$1.8M
Functional role of tachykinin 1-expressing lateral habenula neurons in flexible reward-guided behaviorF31MH135679 · NIMH · UNIVERSITY OF OREGON · PI SUZUKI, KANA · 2023 to 2025
$146k
NIMH NIH HHS F31 MH135679NINDS NIH HHS RF1 NS132914
6 · The paper itself

Abstract

Evaluating outcomes to accurately predict which actions lead to reward is crucial for survival. Discrepancies between expected and realized outcomes, termed reward prediction errors (RPEs), serve as a teaching signal to update subsequent predictions and promote adaptive behavior. Neural correlates of RPEs have been identified in several brain regions, including the lateral habenula (LHb), which contains a subpopulation of neurons encoding negative reward prediction error (nRPE) that are excited by worse-than-expected outcomes and inhibited by better-than-expected outcomes. LHb projections to the midbrain shape firing in dopaminergic neurons and play a well-established role in reward learning and decision-making. However, the LHb engages in a wide variety of behaviors beyond reward processing, and it remains unclear whether these diverse functions are mediated by specific transcriptionally defined cell types. Little is known about the transcriptomic identity of nRPE-encoding neurons, limiting our understanding of the specific role of these signals in outcome valuation. Using cell type-specific recording in mice performing reward-guided tasks, we demonstrate neurons expressing the neuropeptide gene

Identifiers

PMID41279252
PMCPMC12632853

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.