Evidence map›Paper›PMID 41714143›Full record

ArticleeNeuro2026

Automatic, But Not Autonomous: Implicit Adaptation Is Modulated by Goal-Directed Attentional Demands.

Joshua Liddy, Sean R O'Bryan, Alexander Daskalopoulos, Joo-Hyun Song

Abstract read
In one paragraph

Article in eNeuro, 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. Benefits of Dual-Tasking on Implicit Sensorimotor Adaptation.The European journal of neuroscience · 2026
    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

4 authors.

Joshua LiddyDepartment of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003 jliddy@umass.edu.ORCID 0000-0002-2081-4648
Sean R O'BryanDepartment of Cognitive and Psychological Sciences, Brown University, Providence, Rhode Island 02906.
Alexander DaskalopoulosDepartment of Cognitive and Psychological Sciences, Brown University, Providence, Rhode Island 02906.
Joo-Hyun SongDepartment of Cognitive and Psychological Sciences, Brown University, Providence, Rhode Island 02906.ORCID 0000-0001-6303-3801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implicit adaptation recalibrates movements based on sensory prediction errors. It is often characterized as automatic and resource-independent, suggesting that it is insulated from cognitive influence. Here, we asked whether implicit adaptation is sensitive to goal-directed attentional demands imposed by a concurrent visual task. Across two experiments, we used clamped visual feedback to measure implicit adaptation while human adults (49 females, 23 males) monitored a rapidly changing visual stream for targets. In Experiment 1, participants performing the visual task showed modest early enhancement in implicit adaptation relative to a single-task control condition. In Experiment 2, adding response-contingent feedback to the visual task led to stronger and more sustained enhancement. Visual task accuracy and implicit adaptation were uncorrelated, arguing against resource competition. Model-based analyses revealed elevated error sensitivity under dual-task conditions, with individual differences reflecting an inverse relationship between error sensitivity and retention. These patterns are compatible with arousal-mediated modulation of cerebellar error processing and hierarchical models of cerebellar learning. Together, these findings suggest that implicit adaptation is automatic but not autonomous: while it operates outside voluntary control, it appears open to the physiological states in which errors are experienced.

Indexed as

Adaptation, PhysiologicalAttentionGoalsPsychomotor PerformanceVisual PerceptionAdultDual-Task TestsFeedback, SensoryFemaleHumansMalePhotic StimulationReaction TimeYoung Adultdual taskgoal-directed attentionimplicit adaptationmotor learningsensory prediction errorstate-space model

Identifiers

PMID41714143
PMCPMC13002316

What OpenQuestion holds

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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.