Evidence map›Paper›PMID 42098111›Full record

ArticleNature communications2026

An inhibitory brainstem pathway reduces visual detection during background motion.

Xiao-Lin Chou, Milena Russo, Yingtian He, Loridee De Villa, Sabrina Amato, Bao-Hua Liu

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Xiao-Lin Chou *Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada.ORCID http://orcid.org/0000-0002-9718-2730
Milena Russo *Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada.
Yingtian HeDepartment of Biology, University of Toronto Mississauga, Mississauga, ON, Canada.
Loridee De VillaDepartment of Biology, University of Toronto Mississauga, Mississauga, ON, Canada.
Sabrina AmatoDepartment of Biology, University of Toronto Mississauga, Mississauga, ON, Canada.
Bao-Hua LiuDepartment of Biology, University of Toronto Mississauga, Mississauga, ON, Canada. baohua.liu@utoronto.ca.ORCID http://orcid.org/0000-0003-0284-0102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moving backgrounds profoundly impact object perception, a crucial process for parsing complex visual scenes. This motion-induced modulation has traditionally been attributed to visual cortical circuits. However, recent evidence that brainstem activity is also influenced by background motion raises the intriguing question of whether subcortical circuits play a role in this perceptual phenomenon. Here, we demonstrate that inhibitory projections from mouse nucleus of the optic tract (NOT)-a brainstem structure mediating reflexive behaviors-impair superior colliculus (SC)-dependent visual detection during background motion. Specifically, the inhibitory NOT projections to SC are selectively activated by global, but not local, background motion to suppress SC activity. Remarkably, silencing this NOT-SC pathway relieves the suppression of SC activity in such motional context and alleviates the motion-induced impairments in visual detection. Our findings reveal that motion-sensitive brainstem circuits suppress subcortical processing to shape visual perception, underscoring the underappreciated role of the brainstem in visual cognition.

Indexed as

Brain StemMotion PerceptionSuperior ColliculiVisual PathwaysVisual PerceptionAnimalsMaleMiceMice, Inbred C57BLOptic TractPhotic StimulationVisual Cortex

Identifiers

PMID42098111
PMCPMC13365429

What OpenQuestion holds

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LicenceCC BY
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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.