Evidence map›Paper›PMID 27203839›Full record

ArticlePLoS computational biology2016

Evaluation of the Phase-Dependent Rhythm Control of Human Walking Using Phase Response Curves.

Tetsuro Funato, Yuki Yamamoto, Shinya Aoi, Takashi Imai, Toshio Aoyagi, Nozomi Tomita, Kazuo Tsuchiya

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

7 authors.

Tetsuro FunatoDepartment of Mechanical Engineering and Intelligent Systems, The University of Electro-communications, Chofu, Tokyo, Japan.ORCID 0000-0003-2964-5227
Yuki YamamotoDepartment of Energy and Mechanical Engineering, Doshisha University, Kyotanabe-shi, Kyoto, Japan.
Shinya AoiJapan Science and Technology Agency (JST), CREST, Chiyoda-ku, Tokyo, Japan.
Takashi ImaiDepartment of Applied Analysis and Complex Dynamical Systems, Kyoto University, Sakyo-ku, Kyoto, Japan.
Toshio AoyagiJapan Science and Technology Agency (JST), CREST, Chiyoda-ku, Tokyo, Japan.
Nozomi TomitaJapan Science and Technology Agency (JST), CREST, Chiyoda-ku, Tokyo, Japan.
Kazuo TsuchiyaJapan Science and Technology Agency (JST), CREST, Chiyoda-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans and animals control their walking rhythms to maintain motion in a variable environment. The neural mechanism for controlling rhythm has been investigated in many studies using mechanical and electrical stimulation. However, quantitative evaluation of rhythm variation in response to perturbation at various timings has rarely been investigated. Such a characteristic of rhythm is described by the phase response curve (PRC). Dynamical simulations of human skeletal models with changing walking rhythms (phase reset) described a relation between the effective phase reset on stability and PRC, and phase reset around touch-down was shown to improve stability. A PRC of human walking was estimated by pulling the swing leg, but such perturbations hardly influenced the stance leg, so the relation between the PRC and walking events was difficult to discuss. This research thus examines human response to variations in floor velocity. Such perturbation yields another problem, in that the swing leg is indirectly (and weakly) perturbed, so the precision of PRC decreases. To solve this problem, this research adopts the weighted spike-triggered average (WSTA) method. In the WSTA method, a sequential pulsed perturbation is used for stimulation. This is in contrast with the conventional impulse method, which applies an intermittent impulsive perturbation. The WSTA method can be used to analyze responses to a large number of perturbations for each sequence. In the experiment, perturbations are applied to walking subjects by rapidly accelerating and decelerating a treadmill belt, and measured data are analyzed by the WSTA and impulse methods. The PRC obtained by the WSTA method had clear and stable waveforms with a higher temporal resolution than those obtained by the impulse method. By investigation of the rhythm transition for each phase of walking using the obtained PRC, a rhythm change that extends the touch-down and mid-single support phases is found to occur.

Indexed as

Models, BiologicalAccelerationBiomechanical PhenomenaComputational BiologyGaitHumansLegMaleMuscle, SkeletalPeriodicityWalkingYoung Adult

Identifiers

PMID27203839
PMCPMC4874544

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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.