Evidence map›Paper›PMID 42006324›Full record

ArticleiScience2026

Much higher covariation with foveation timing by superior colliculus than primary visual cortical neuronal activity.

Carlotta Trottenberg, Yue Yu, Tong Zhang, Matthias P Baumann, Tatiana Malevich, Shweta Prasad, Ziad M Hafed

Abstract read
In one paragraph

Article in iScience, 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

7 authors.

Carlotta TrottenbergWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Yue YuWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Tong ZhangWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Matthias P BaumannWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Tatiana MalevichWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Shweta PrasadWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Ziad M HafedWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The superior colliculus (SC) is a potent driver for orienting movements, but it also possesses short-latency visual responses. Even though such responses largely derive from direct primary visual cortical (V1) input, their relationship to V1 activity has never been analyzed with the same experimental subjects and stimuli. Here, we revisited pioneering observations that trial-by-trial variability in either SC or V1 visual responses may predict eye movement timing variability. We found that V1 covariation with behavioral variability was virtually non-existent in comparison to the SC, whether with respect to visual response onset latency, visual response strength, or pre-stimulus state. By far, our largest predictor of behavioral variability was visual response strength in SC visual-motor neurons. These results suggest that the SC reformats its sensory inputs for exploitation of the SC's proximity to the motor periphery; V1 aids in jumpstarting the sensing process, but the SC much more directly supports visually driven orienting.

Indexed as

behavioral neurosciencecognitive neuroscienceneurosciencesensory neuroscience

Identifiers

PMID42006324
PMCPMC13084408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.