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Entropy, Information Theory and the Contribution of Posturography to Cognitive and Socioaffective Neuroscience

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 1382

Special Issue Editors

UR-UPJV 4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, UFR de Médecine, Université de Picardie Jules Verne, 80000 Amiens, France
Interests: neuroscience; neuroimaging; brain imaging; functional neuroimaging; cognitive neuroscience; emotion; motivation
Faculty of Rehabilitation, The Józef Piłsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland
Interests: biomechanics; gait analysis; kinematics; kinetics; postural control; Motion Capture; muscle force distribution; simulation of human motion

Special Issue Information

Dear Colleagues,

The interrelation between motor functions and other cognitive and affective processes in the central and peripheral neural systems has been widely documented for decades within the scientific literature. Recently, a relatively new direction of research to explore this interrelation has been represented by the study of the posturographic correlates of the processes in question. An interesting classical question is to explore the differential modulation of the body’s posture in the anteroposterior and mediolateral directions across different experimental conditions. However, other researchers have used innovative analysis approaches integrating entropy and information theory to understand the link between these correlates and the underlying mechanisms in more detail. This Special Issue welcome any research or review paper presenting new directions in the analysis of the motor correlates of cognition and emotion broadly speaking and, in particular, posturography.

Prof. Dr. Harold Mouras
Dr. Michalina Błażkiewicz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • affective neuroscience
  • motivation
  • motor correlates
  • posturography
  • entropy
  • information theory

Published Papers (1 paper)

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Research

14 pages, 1445 KiB  
Article
Dynamical Analyses Show That Professional Archers Exhibit Tighter, Finer and More Fluid Dynamical Control Than Neophytes
by Hesam Azadjou, Michalina Błażkiewicz, Andrew Erwin and Francisco J. Valero-Cuevas
Entropy 2023, 25(10), 1414; https://doi.org/10.3390/e25101414 - 04 Oct 2023
Viewed by 998
Abstract
Quantifying the dynamical features of discrete tasks is essential to understanding athletic performance for many sports that are not repetitive or cyclical. We compared three dynamical features of the (i) bow hand, (ii) drawing hand, and (iii) center of mass during a single [...] Read more.
Quantifying the dynamical features of discrete tasks is essential to understanding athletic performance for many sports that are not repetitive or cyclical. We compared three dynamical features of the (i) bow hand, (ii) drawing hand, and (iii) center of mass during a single bow-draw movement between professional and neophyte archers: dispersion (convex hull volume of their phase portraits), persistence (tendency to continue a trend as per Hurst exponents), and regularity (sample entropy). Although differences in the two groups are expected due to their differences in skill, our results demonstrate we can quantify these differences. The center of mass of professional athletes exhibits tighter movements compared to neophyte archers (6.3 < 11.2 convex hull volume), which are nevertheless less persistent (0.82 < 0.86 Hurst exponent) and less regular (0.035 > 0.025 sample entropy). In particular, the movements of the bow hand and center of mass differed more between groups in Hurst exponent analysis, and the drawing hand and center of mass were more different in sample entropy analysis. This suggests tighter neuromuscular control over the more fluid dynamics of the movement that exhibits more active corrections that are more individualized. Our work, therefore, provides proof of principle of how well-established dynamical analysis techniques can be used to quantify the nature and features of neuromuscular expertise for discrete movements in elite athletes. Full article
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