Evidence map›Paper›PMID 41298484›Full record

ArticleNPJ science of learning2025

Dissociable sensory, motor, and visuomotor predictive functions.

Inmaculada Márquez, Mario Treviño

Abstract read
In one paragraph

Article in NPJ science of learning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Predictive interception across speed profiles.Frontiers in neural circuits · 2026
    Article
  4. Article
  5. 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

2 authors.

Inmaculada MárquezLaboratorio de Plasticidad Cortical y Aprendizaje Perceptual, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, Jalisco, México.
Mario TreviñoLaboratorio de Plasticidad Cortical y Aprendizaje Perceptual, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, Jalisco, México. mario.trevino@academicos.udg.mx.

Funding

CONAHCYT CF-2023-G-107
6 · The paper itself

Abstract

The visual system continuously generates predictions to guide behavior, yet how visuomotor adaptation relates to sensory detection and motor variability remains unclear. We addressed this question using joystick-based tasks: a visuomotor interception task with angular or speed perturbations, a sensory detection task, and a no-feedback motor variability task. Participants showed robust within-task responses, with angular discrepancies engaging both external (target-based) and self-referential control, while speed discrepancies primarily involved self-referential strategies. Gaze behavior reflected distinct tracking modes depending on perturbation type. However, cross-task regression analyses revealed weak associations between detection, variability, and adaptation. These dissociations were not due to noise or low power but reflected consistent performance patterns. Notably, within-subject variability exceeded between-subject variability across all tasks, highlighting trial-to-trial fluctuations as key drivers of behavior. Together, these findings support the view that predictive control relies on specialized, context-dependent mechanisms, in which task-specific computations adaptively integrate context and internal state dynamics.

Identifiers

PMID41298484
PMCPMC12658261

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.