Evidence map›Paper›PMID 39904365›Full record

ArticleJournal of the Royal Society, Interface2025

Angular distribution of fractal temporal correlations supports adaptive responses to wobble board instability.

Brian Schlattmann, Ken Kiyono, Damian G Kelty-Stephen, Madhur Mangalam

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Brian SchlattmannDepartment of Biomechanics, Center for Research in Human Movement Variability, Division of Biomechanics and Research Development, University of Nebraska at Omaha, Omaha, NE 68182, USA.ORCID 0009-0007-2440-1238
Ken KiyonoGraduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan.ORCID 0000-0001-5433-7002
Damian G Kelty-StephenDepartment of Psychology, State University of New York at New Paltz, New Paltz, NY 12561, USA.ORCID 0000-0001-7332-8486
Madhur MangalamDepartment of Biomechanics, Center for Research in Human Movement Variability, Division of Biomechanics and Research Development, University of Nebraska at Omaha, Omaha, NE 68182, USA.ORCID 0000-0001-6369-0414

Funding

NIGMS NIH HHS
6 · The paper itself

Abstract

Contemporary dynamical models of human postural control propose an intermittent controller regulating the postural centre of pressure (CoP) about a stable saddle-shaped manifold along anatomical anteroposterior (AP) and mediolateral (ML) axes, releasing CoP in an outwards spiral when inactive. Experimental manipulations can evoke this saddle-type topology in fractal temporal correlations along the AP axis and reducing correlations along the ML axis. However, true effects of task demands may often manifest within angular space between anatomical AP and ML axes-a space not typically modelled explicitly. We tested how instability and attentional load influence postural control across the full angular range of fractal variability along the two-dimensional (2D) support surface. Forty-eight healthy young adults performed a suprapostural Trail Making Test (TMT) while standing on a wobble board, inducing continuous perturbations along the ML axis. Stable, quiet standing exhibited classic saddle-like topology, with stronger fractal temporal correlations in CoP displacements along AP axes. The attentional demand of the TMT did not affect angular variation or strength of fractal temporal correlations across the 2Dsupport surface. However, maintaining upright balance on the wobble board reshaped and reoriented the angular distribution of fractal temporal correlations, accentuating saddle-like angular variation and rotating the strongest fractal temporal correlations predominantly along the ML axis. Stabilizing posture in the face of wobble board instability prompted the saddle-type angular distribution of fractal temporal correlations. These findings challenge the traditional dependence of postural control theories exclusively on external force-plate axes and underscore the significance of multifractality in defining control parameters that govern postural stability across the full angular range of the 2D support surface.

Indexed as

FractalsModels, BiologicalPostural BalancePostureAdultFemaleHumansMaleYoung Adultbalancecentre of pressurecoordinationmultifractalitypostural swaytopology

Identifiers

PMID39904365
PMCPMC11793983

What Socratic holds

Textmetadata
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 Socratic graph.