Evidence map›Paper›PMID 32946493›Full record

ArticlePloS one2020

Behavioral and physiological correlates of kinetically tracking a chaotic target.

Atsushi Takagi, Ryoga Furuta, Supat Saetia, Natsue Yoshimura, Yasuharu Koike, Ludovico Minati

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Information Rate in Humans during Visuomotor Tracking.Entropy (Basel, Switzerland) · 2021
    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 at 1 institution in 2 countries.

Atsushi TakagiNTT Communication Science Laboratories, Atsugi, Japan.ORCID 0000-0003-4733-7471
Ryoga FurutaDepartment of Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology, Yokohama, Japan.
Supat SaetiaInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Natsue YoshimuraInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Yasuharu KoikeInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Ludovico MinatiInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Tokyo Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans can innately track a moving target by anticipating its future position from a brief history of observations. While ballistic trajectories can be readily extrapolated, many natural and artificial systems are governed by more general nonlinear dynamics and, therefore, can produce highly irregular motion. Yet, relatively little is known regarding the behavioral and physiological underpinnings of prediction and tracking in the presence of chaos. Here, we investigated in lab settings whether participants could manually follow the orbit of a paradigmatic chaotic system, the Rössler equations, on the (x,y) plane under different settings of a control parameter, which determined the prominence of transients in the target position. Tracking accuracy was negatively related to the level of unpredictability and folding. Nevertheless, while participants initially reacted to the transients, they gradually learned to anticipate it. This was accompanied by a decrease in muscular co-contraction, alongside enhanced activity in the theta and beta EEG bands for the highest levels of chaoticity. Furthermore, greater phase synchronization of breathing was observed. Taken together, these findings point to the possible ability of the nervous system to implicitly learn topological regularities even in the context of highly irregular motion, reflecting in multiple observables at the physiological level.

Indexed as

Nonlinear DynamicsTask Performance and AnalysisAdultAutonomic Nervous SystemBiomechanical PhenomenaElectroencephalographyElectromyographyHand StrengthHumansKineticsLearningMotionMuscle ContractionYoung Adult

Identifiers

PMID32946493
PMCPMC7500904
OpenAlexW3087423340

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.