Evidence map›Paper›PMID 32655400›Full record

SynthesisFrontiers in physiology2020

Assessing the Temporal Organization of Walking Variability: A Systematic Review and Consensus Guidelines on Detrended Fluctuation Analysis.

Deepak K Ravi, Vivien Marmelat, William R Taylor, Karl M Newell, Nick Stergiou, Navrag B Singh

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.0field-weighted citation impact, top 3% of its field
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

37 citing papers in PubMed, 54 citations in OpenAlex.

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  4. Subtle to significant: Enhancing heaviness perception with stochastic resonance.Journal of experimental psychology. Human perception and performance · 2026
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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

6 authors at 4 institutions in 2 countries.

Deepak K RaviInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Vivien MarmelatDepartment of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, United States.
William R TaylorInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Karl M NewellDepartment of Kinesiology, University of Georgia, Athens, GA, United States.
Nick StergiouDepartment of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, United States.
Navrag B SinghInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
ETH Zurich · CHUniversity of Nebraska at Omaha · USInstitute for Biomedical Engineering · CHUniversity of Georgia · US

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI KNARR, BRIAN ANDREW · 2014 to 2023
$20.5M
The influence of 3D printed prostheses on neural activation patterns of the primary motor cortex in children with unilateral congenital upper-limb reductionsR01NS114282 · NINDS · UNIVERSITY OF NEBRASKA OMAHA · PI KNARR, BRIAN ANDREW, ZUNIGA, JORGE M · 2020 to 2023
$1.5M
MECHANISMS OF FALL RESISTANCE TO DIVERSE SLIPPING CONDITIONSR15AG063106 · NIA · UNIVERSITY OF NEBRASKA OMAHA · PI HUNT, NATHANIEL H · 2019 to 2019
$420k
NIA NIH HHS R15 AG063106NIGMS NIH HHS P20 GM109090NINDS NIH HHS R01 NS114282
6 · The paper itself

Abstract

Human physiological signals are inherently rhythmic and have a hallmark feature in that even distant intrasignal measurements are related to each other. This relationship is termed long-range correlation and has been recognized as an indicator of the optimal state of the observed physiological systems, among which the locomotor system. Loss of long-range correlations has been found as a result of aging as well as disease, which can be evaluated with detrended fluctuation analysis (DFA). Recently, DFA and the scaling exponent α have been employed for understanding the degeneration of temporal regulation of human walking biorhythms in, for example, Parkinson disease (PD). However, heterogeneous evidence on scaling exponent α values reported in the literature across different population groups has put into question what constitutes a healthy physiological pattern. Therefore, the purpose of this systematic review was to investigate the functional thresholds of scaling exponent α in young vs. older adults, as well as between patients with PD and age-matched asymptomatic controls. Aging and PD exhibited a negative effect size (i.e., led to decreased long-range correlations) of -0.20 and -0.53, respectively. Our meta-analysis based on 14 studies provides evidence that a mean scaling exponent α threshold of 0.86 [2 standard error (0.76, 0.96)] is able to optimally discriminate temporal organization of stride interval between young and old, whereas 0.82 (0.72, 0.92) differentiates patients with PD and age-matched asymptomatic controls. The optimal thresholds presented in this review together with the consensus guidelines for using DFA might allow a more sensitive and reliable application of this metric for understanding human walking physiology than has been achieved to date.

Indexed as

agingdetrended fluctuation analysisfractal fluctuationsfractal temporal structuresgait variabilitylong-range correlationsParkinson diseasestride interval variability

Identifiers

PMID32655400
PMCPMC7324754
OpenAlexW3035852874

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.