Evidence map›Paper›PMID 39042677›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Pink noise promotes sooner state transitions during bimanual coordination.

Kolby J Brink, Seung Kyeom Kim, Joel H Sommerfeld, Polemnia G Amazeen, Nikolaos Stergiou, Aaron D Likens

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Kolby J BrinkDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182.ORCID 0000-0003-3255-7252
Seung Kyeom KimDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182.ORCID 0000-0001-5059-6867
Joel H SommerfeldDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182.ORCID 0000-0002-4972-0872
Polemnia G AmazeenDepartment of Psychology, Arizona State University, Tempe, AZ 85287.ORCID 0000-0002-8777-3377
Nikolaos StergiouDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182.ORCID 0000-0002-9737-9939
Aaron D LikensDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182.

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI STERGIOU, NIKOLAOS · 2014 to 2023
$20.5M
Graduate Research and Creative Activity Grant 0HHS | National Institutes of Health (NIH) P20GM109090National Science Foundation (NSF) 2124918National Strategic Research Institute U2-20-F0101NIGMS NIH HHS P20 GM109090UN Collaborative Initiative 0
6 · The paper itself

Abstract

The seemingly straightforward task of tying one's shoes requires a sophisticated interplay of joints, muscles, and neural pathways, posing a formidable challenge for researchers studying the intricacies of coordination. A widely accepted framework for measuring coordinated behavior is the Haken-Kelso-Bunz (HKB) model. However, a significant limitation of this model is its lack of accounting for the diverse variability structures inherent in the coordinated systems it frequently models. Variability is a pervasive phenomenon across various biological and physical systems, and it changes in healthy adults, older adults, and pathological populations. Here, we show, both empirically and with simulations, that manipulating the variability in coordinated movements significantly impacts the ability to change coordination patterns-a fundamental feature of the HKB model. Our results demonstrate that synchronized bimanual coordination, mirroring a state of healthy variability, instigates earlier transitions of coordinated movements compared to other variability conditions. This suggests a heightened adaptability when movements possess a healthy variability. We anticipate our study to show the necessity of adapting the HKB model to encompass variability, particularly in predictive applications such as neuroimaging, cognition, skill development, biomechanics, and beyond.

Indexed as

MovementPsychomotor PerformanceAdultBiomechanical PhenomenaFemaleHandHumansMaleYoung AdultcoordinationHaken–Kelso–Bunz modelhemodynamicsvariability

Identifiers

PMID39042677
PMCPMC11294992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.