Evidence map›Paper›PMID 39143119›Full record

ArticleScientific reports2024

Exploring motor skill acquisition in bimanual coordination: insights from navigating a novel maze task.

Miguel Cienfuegos, Jonathan Maycock, Abdeldjallil Naceri, Tobias Düsterhus, Risto Kõiva, Thomas Schack, Helge Ritter

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Miguel CienfuegosNeurocognition and Action - Biomechanics Group, Bielefeld University, 33615, Bielefeld, Germany. miguel.cienfuegos@uni-bielefeld.de.
Jonathan MaycockMargin UG, 33602, Bielefeld, Germany.
Abdeldjallil NaceriMunich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 80992, Munich, Germany.
Tobias DüsterhusNeuroinformatics Group, Bielefeld University, 33619, Bielefeld, Germany.
Risto KõivaNeuroinformatics Group, Bielefeld University, 33619, Bielefeld, Germany.
Thomas SchackNeurocognition and Action - Biomechanics Group, Bielefeld University, 33615, Bielefeld, Germany.
Helge RitterNeuroinformatics Group, Bielefeld University, 33619, Bielefeld, Germany.

Funding

Center for Cognitive Interaction Technology, Bielefeld University 277
6 · The paper itself

Abstract

In this study, we introduce a novel maze task designed to investigate naturalistic motor learning in bimanual coordination. We developed and validated an extended set of movement primitives tailored to capture the full spectrum of scenarios encountered in a maze game. Over a 3-day training period, we evaluated participants' performance using these primitives and a custom-developed software, enabling precise quantification of performance. Our methodology integrated the primitives with in-depth kinematic analyses and thorough thumb pressure assessments, charting the trajectory of participants' progression from novice to proficient stages. Results demonstrated consistent improvement in maze performance and significant adaptive changes in joint behaviors and strategic recalibrations in thumb pressure distribution. These findings highlight the central nervous system's adaptability in orchestrating sophisticated motor strategies and the crucial role of tactile feedback in precision tasks. The maze platform and setup emerge as a valuable foundation for future experiments, providing a tool for the exploration of motor learning and coordination dynamics. This research underscores the complexity of bimanual motor learning in naturalistic environments, enhancing our understanding of skill acquisition and task efficiency while emphasizing the necessity for further exploration and deeper investigation into these adaptive mechanisms.

Indexed as

Motor SkillsAdultBiomechanical PhenomenaFemaleHumansLearningMaleMaze LearningPsychomotor PerformanceYoung AdultBimanual coordinationKinematic dynamicsMazeMotor learningTactile feedback

Identifiers

PMID39143119
PMCPMC11324764

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.