Individual differences in sensory detection and motor variability do not reliably predict visuomotor adaptation, showing weak cross-task predictive power¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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q3 i? A multivariate linear regression using eight predictors from the detection and motor variability tasks yielded non-significant predictor coefficients for all eight visuomotor adaptation outcomes. → Inmaculada Márquez & Mario Treviño 2025
q3 i? Pairwise correlations between detection performance and visuomotor responses, and between motor variability and visuomotor performance, were weak (below ±0.15 and r < ±0.01 respectively). → Inmaculada Márquez & Mario Treviño 2025 (2)
Evidence¶
Inmaculada Márquez & Mario Treviño 2025¶
Inmaculada Márquez & Mario Treviño. (2025). Dissociable sensory, motor, and visuomotor predictive functions. npj Science of Learning 10:85. https://doi.org/10.1038/s41539-025-00377-4
q3 · i? · associational · r2
Within-subject multivariate linear regression in 54 participants who completed all three tasks, predicting eight adaptation indices from eight predictors, with Benjamini–Hochberg FDR correction across 72 predictor–outcome combinations. Only one significant intercept emerged; the result "suggests weak cross-task pre- dictive power".
"However, all predictor coefficients were non-significant (white bars), indicating that individual differences in detection performance and motor variability did not reliably explain var- iation in visuomotor adaptation."
Inmaculada Márquez & Mario Treviño 2025 (2)¶
Inmaculada Márquez & Mario Treviño. (2025). Dissociable sensory, motor, and visuomotor predictive functions. npj Science of Learning 10:85. https://doi.org/10.1038/s41539-025-00377-4
q3 · i? · causal · r2
Pairwise correlations between matching detection and visuomotor discrepancy types in the same participants revealed "weak associations"; motor variability showed negligible correlation with visuomotor performance (average Pearson's r < ±0.01).
"These analyses revealed weak associations, with average Pearson correlation coefficients below ±0.15 (Supplementary Table 2)."
Discussion¶
Learner Variables¶
- Sensory Integration — predictor: learners who differ on it differ in outcomes
Related Claims¶
- Angular and speed perturbations in a visuomotor interception task engage distinct adaptive strategies: spatial correction for angular errors and velocity-based adjustment for speed errors — related
- Within-subject trial-to-trial variability exceeds between-subject variability across visuomotor, detection, and motor tasks — related
- Detection of motion discrepancies increases with both perturbation magnitude and duration, with response times decreasing with magnitude — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
weak-cross-task-predictive-power |
title |
Individual differences in sensory detection and motor variability do not reliably predict visuomotor adaptation, showing weak cross-task predictive power |
description |
Individual differences in sensory detection and motor variability do not reliably predict visuomotor adaptation, showing weak cross-task predictive power |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — inmaculada-márquez-mario-treviño-2025, inmaculada-márquez-mario-treviño-2025-2 |
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