Evidence map›Paper›PMID 26378199›Full record

ArticleJournal of neurophysiology2015

Neuromuscular adjustments of gait associated with unstable conditions.

G Martino, Y P Ivanenko, A d'Avella, M Serrao, A Ranavolo, F Draicchio, G Cappellini, C Casali, F Lacquaniti

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
30.0field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 134 citations in OpenAlex.

  1. Trial
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  3. Age-dependent synergistic control of sit-to-stand motion.European journal of applied physiology · 2026
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  20. Consensus Paper: Ataxic Gait.Cerebellum (London, England) · 2023
    Article

14 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

G MartinoCentre of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy; Laboratory of Neuromotor Physiology, Istituto di Ricovero e Cura a Carattere Scientifico, Santa Lucia Foundation, Rome, Italy; g.martino@hsantalucia.it.
Y P IvanenkoLaboratory of Neuromotor Physiology, Istituto di Ricovero e Cura a Carattere Scientifico, Santa Lucia Foundation, Rome, Italy;
A d'AvellaLaboratory of Neuromotor Physiology, Istituto di Ricovero e Cura a Carattere Scientifico, Santa Lucia Foundation, Rome, Italy; Department of Biomedical Sciences and Morphological and Functional Images, University of Messina, Messina, Italy;
M SerraoRehabilitation Centre Policlinico Italia, Rome, Italy; Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy;
A RanavoloIstituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Monte Porzio Catone, Rome, Italy; and.
F DraicchioIstituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Monte Porzio Catone, Rome, Italy; and.
G CappelliniCentre of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy;
C CasaliDepartment of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy;
F LacquanitiCentre of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy; Laboratory of Neuromotor Physiology, Istituto di Ricovero e Cura a Carattere Scientifico, Santa Lucia Foundation, Rome, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Fondazione Santa Lucia · ITIstituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro · ITSapienza University of Rome · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A compact description of coordinated muscle activity is provided by the factorization of electromyographic (EMG) signals. With the use of this approach, it has consistently been shown that multimuscle activity during human locomotion can be accounted for by four to five modules, each one comprised of a basic pattern timed at a different phase of gait cycle and the weighting coefficients of synergistic muscle activations. These modules are flexible, in so far as the timing of patterns and the amplitude of weightings can change as a function of gait speed and mode. Here we consider the adjustments of the locomotor modules related to unstable walking conditions. We compared three different conditions, i.e., locomotion of healthy subjects on slippery ground (SL) and on narrow beam (NB) and of cerebellar ataxic (CA) patients on normal ground. Motor modules were computed from the EMG signals of 12 muscles of the right lower limb using non-negative matrix factorization. The unstable gait of SL, NB, and CA showed significant changes compared with controls in the stride length, stride width, range of angular motion, and trunk oscillations. In most subjects of all three unstable conditions, >70% of the overall variation of EMG waveforms was accounted for by four modules that were characterized by a widening of muscle activity patterns. This suggests that the nervous system adopts the strategy of prolonging the duration of basic muscle activity patterns to cope with unstable conditions resulting from either slippery ground, reduced support surface, or pathology.

Indexed as

GaitLocomotionAdultAgedBiomechanical PhenomenaCerebellar AtaxiaElectromyographyFemaleHumansLower ExtremityMaleMiddle AgedMuscle, Skeletalcentral pattern generatorcerebellar ataxiamuscle synergiesslippery surfaceunstable conditions

Identifiers

PMID26378199
PMCPMC4737426
OpenAlexW2211353644

What OpenQuestion 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 OpenQuestion graph.