Extrinsic variability but not intrinsic variability affects the search for synergies in de-novo motor learning

De-novo motor learning involves emergence of novel task-specific joint angle coordination patterns, called synergies, through structured change in joint angle variability, called search. Search implies variability in joint angles and task performance, but the understanding of the relationship between variability and learning is still unclear. This study examines the contributions of extrinsic variability - differing practice schedules in the task (blocked vs. random) and intrinsic variability - flexibility in individual's movements - on learning, search and synergy formation. Participants were first categorized based on their intrinsic variability (i.e., joint angle covariation in an adaptive reaching task). Learning was then evaluated on a virtual lateral interception task with a redundant mapping between joint angles and paddle position that necessitated forming new synergies. Overall, search reduced, and synergies emerged with practice. Intrinsic variability did not affect learning, search or synergy formation. Extrinsic variability increased search behaviour but did not interact with emergence of synergies. During practice, the variability orthogonal to the uncontrolled manifold (solution sub-space within the joint space) reduced rapidly in the initial phases while the change in variability along the uncontrolled manifold persisted over practice. We demonstrate search in joint space during learning is structured and extrinsic variability increases search behaviour.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-22
DOI
https://doi.org/10.1038/s41598-025-20895-w
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extrinsic variability but not intrinsic variability affects the search for synergies in de-novo motor learning

Joanne Smith, Ashish Mehta, David Travieso, Raoul M. Bongers
Scientific Reports
Motor Control and Adaptation
article

Extrinsic variability but not intrinsic variability affects the search for synergies in de-novo motor learning

Joanne Smith, Ashish Mehta, David Travieso, Raoul M. Bongers
article en

Abstract

De-novo motor learning involves emergence of novel task-specific joint angle coordination patterns, called synergies, through structured change in joint angle variability, called search. Search implies variability in joint angles and task performance, but the understanding of the relationship between variability and learning is still unclear. This study examines the contributions of extrinsic variability - differing practice schedules in the task (blocked vs. random) and intrinsic variability - flexibility in individual's movements - on learning, search and synergy formation. Participants were first categorized based on their intrinsic variability (i.e., joint angle covariation in an adaptive reaching task). Learning was then evaluated on a virtual lateral interception task with a redundant mapping between joint angles and paddle position that necessitated forming new synergies. Overall, search reduced, and synergies emerged with practice. Intrinsic variability did not affect learning, search or synergy formation. Extrinsic variability increased search behaviour but did not interact with emergence of synergies. During practice, the variability orthogonal to the uncontrolled manifold (solution sub-space within the joint space) reduced rapidly in the initial phases while the change in variability along the uncontrolled manifold persisted over practice. We demonstrate search in joint space during learning is structured and extrinsic variability increases search behaviour.

Scientific ReportsVol. 15(1)
University Medical Center Groningen (NL), University of Groningen (NL), Universidad Autónoma de Madrid (ES)
European Commission
Openalex Percentile: Top 70%
Motor Control and Adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Extrinsic variability but not intrinsic variability affects the search for synergies in de-novo motor learning — Joanne Smith, Ashish Mehta, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS