Acute Effects of Various Movement Noise in Differential Learning of Rope Skipping on Brain and Heart Recovery Analyzed by Means of Multiscale Fuzzy Measure Entropy

Abstract

In search of more detailed explanations for body-mind interactions in physical activity, neural and physiological effects, especially regarding more strenuous sports activities, increasingly attract interest. Little is known about the underlying manifold (neuro-)physiological impacts induced by different motor learning approaches. The various influences on brain or cardiac function are usually studied separately and modeled linearly. Limitations of these models have recently led to a rapidly growing application of nonlinear models. This study aimed to investigate the acute effects of various sequences of rope skipping on irregularity of the electrocardiography (ECG) and electroencephalography (EEG) signals as well as their interaction and whether these depend on different levels of active movement noise, within the framework of differential learning theory. Thirty-two males were randomly and equally distributed to one of four rope skipping conditions with similar cardiovascular but varying coordinative demand. ECG and EEG were measured simultaneously at rest before and immediately after rope skipping for 25 mins. Signal irregularity of ECG and EEG was calculated via the multiscale fuzzy measure entropy (MSFME). Statistically significant ECG and EEG brain area specific changes in MSFME were found with different pace of occurrence depending on the level of active movement noise of the particular rope skipping condition. Interaction analysis of ECG and EEG MSFME specifically revealed an involvement of the frontal, central, and parietal lobe in the interplay with the heart. In addition, the number of interaction effects indicated an inverted U-shaped trend presenting the interaction level of ECG and EEG MSFME dependent on the level of active movement noise. In summary, conducting rope skipping with varying degrees of movement variation appears to affect the irregularity of cardiac and brain signals and their interaction during the recovery phase differently. These findings provide enough incentives to foster further constructive nonlinear research in exercise-recovery relationship and to reconsider the philosophy of classical endurance training.

Autoren

Alexander Thomas John
Anna Barthel
Johanna Wind
Nikolas Rizzi
Wolfgang Immanuel Schöllhorn

DOI

10.3389/fnbeh.2022.816334

eISSN

1662-5153

Zeitschrift

Frontiers in Behavioral Neuroscience

Online publication date

2022

Status

Published online

Herausgeber

Frontiers Media SA

Herausgeber URL

http://dx.doi.org/10.3389/fnbeh.2022.816334

Datum der Datenerfassung

2022

Titel

Acute Effects of Various Movement Noise in Differential Learning of Rope Skipping on Brain and Heart Recovery Analyzed by Means of Multiscale Fuzzy Measure Entropy

Ausgabe der Zeitschrift

16

Data source: Crossref

Abstract

In search of more detailed explanations for body-mind interactions in physical activity, neural and physiological effects, especially regarding more strenuous sports activities, increasingly attract interest. Little is known about the underlying manifold (neuro-)physiological impacts induced by different motor learning approaches. The various influences on brain or cardiac function are usually studied separately and modeled linearly. Limitations of these models have recently led to a rapidly growing application of nonlinear models. This study aimed to investigate the acute effects of various sequences of rope skipping on irregularity of the electrocardiography (ECG) and electroencephalography (EEG) signals as well as their interaction and whether these depend on different levels of active movement noise, within the framework of differential learning theory. Thirty-two males were randomly and equally distributed to one of four rope skipping conditions with similar cardiovascular but varying coordinative demand. ECG and EEG were measured simultaneously at rest before and immediately after rope skipping for 25 mins. Signal irregularity of ECG and EEG was calculated via the multiscale fuzzy measure entropy (MSFME). Statistically significant ECG and EEG brain area specific changes in MSFME were found with different pace of occurrence depending on the level of active movement noise of the particular rope skipping condition. Interaction analysis of ECG and EEG MSFME specifically revealed an involvement of the frontal, central, and parietal lobe in the interplay with the heart. In addition, the number of interaction effects indicated an inverted U-shaped trend presenting the interaction level of ECG and EEG MSFME dependent on the level of active movement noise. In summary, conducting rope skipping with varying degrees of movement variation appears to affect the irregularity of cardiac and brain signals and their interaction during the recovery phase differently. These findings provide enough incentives to foster further constructive nonlinear research in exercise-recovery relationship and to reconsider the philosophy of classical endurance training.

Addresses

Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University, Mainz, Germany.

Autoren

Alexander Thomas John
Anna Barthel
Johanna Wind
Nikolas Rizzi
Wolfgang Immanuel Schöllhorn

DOI

10.3389/fnbeh.2022.816334

eISSN

1662-5153

Externe Identifier

PubMed Identifier: 35283739
PubMed Central ID: PMC8914377

Open access

true

ISSN

1662-5153

Zeitschrift

Frontiers in behavioral neuroscience

Sprache

eng

Medium

Electronic-eCollection

Online publication date

2022

Open access status

Open Access

Paginierung

816334

Datum der Veröffentlichung

2022

Status

Published

Publisher licence

CC BY

Datum der Datenerfassung

2022

Titel

Acute Effects of Various Movement Noise in Differential Learning of Rope Skipping on Brain and Heart Recovery Analyzed by Means of Multiscale Fuzzy Measure Entropy.

Sub types

research-article
Journal Article

Ausgabe der Zeitschrift

16

Files

https://www.frontiersin.org/articles/10.3389/fnbeh.2022.816334/pdf https://europepmc.org/articles/PMC8914377?pdf=render

Data source: Europe PubMed Central

Abstract

In search of more detailed explanations for body-mind interactions in physical activity, neural and physiological effects, especially regarding more strenuous sports activities, increasingly attract interest. Little is known about the underlying manifold (neuro-)physiological impacts induced by different motor learning approaches. The various influences on brain or cardiac function are usually studied separately and modeled linearly. Limitations of these models have recently led to a rapidly growing application of nonlinear models. This study aimed to investigate the acute effects of various sequences of rope skipping on irregularity of the electrocardiography (ECG) and electroencephalography (EEG) signals as well as their interaction and whether these depend on different levels of active movement noise, within the framework of differential learning theory. Thirty-two males were randomly and equally distributed to one of four rope skipping conditions with similar cardiovascular but varying coordinative demand. ECG and EEG were measured simultaneously at rest before and immediately after rope skipping for 25 mins. Signal irregularity of ECG and EEG was calculated via the multiscale fuzzy measure entropy (MSFME). Statistically significant ECG and EEG brain area specific changes in MSFME were found with different pace of occurrence depending on the level of active movement noise of the particular rope skipping condition. Interaction analysis of ECG and EEG MSFME specifically revealed an involvement of the frontal, central, and parietal lobe in the interplay with the heart. In addition, the number of interaction effects indicated an inverted U-shaped trend presenting the interaction level of ECG and EEG MSFME dependent on the level of active movement noise. In summary, conducting rope skipping with varying degrees of movement variation appears to affect the irregularity of cardiac and brain signals and their interaction during the recovery phase differently. These findings provide enough incentives to foster further constructive nonlinear research in exercise-recovery relationship and to reconsider the philosophy of classical endurance training.

Date of acceptance

2022

Autoren

Alexander Thomas John
Anna Barthel
Johanna Wind
Nikolas Rizzi
Wolfgang Immanuel Schöllhorn

Autoren-URL

https://www.ncbi.nlm.nih.gov/pubmed/35283739

DOI

10.3389/fnbeh.2022.816334

Externe Identifier

PubMed Central ID: PMC8914377

ISSN

1662-5153

Zeitschrift

Front Behav Neurosci

Schlüsselwörter

ECG
EEG
differential learning
entropy
interaction
motor learning
physical activity
recovery

Sprache

eng

Country

Switzerland

Paginierung

816334

Datum der Veröffentlichung

2022

Status

Published online

Titel

Acute Effects of Various Movement Noise in Differential Learning of Rope Skipping on Brain and Heart Recovery Analyzed by Means of Multiscale Fuzzy Measure Entropy.

Sub types

Journal Article

Ausgabe der Zeitschrift

16

Data source: PubMed

Author's licence

CC-BY

Autoren

Alexander Thomas John
Anna Barthel
Johanna Wind
Nikolas Rizzi
Wolfgang Immanuel Schöllhorn

Hosting institution

Universitätsbibliothek Mainz

Sammlungen

DFG-491381577-G

Resource version

Published version

DOI

10.3389/fnbeh.2022.816334

Funding acknowledgements

Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577

File(s) embargoed

false

Open access

true

ISSN

1662-5153

Zeitschrift

Frontiers in behavioral neuroscience

Schlüsselwörter

150 Psychologie
150 Psychology

Sprache

eng

Open access status

Open Access

Paginierung

816334

Datum der Veröffentlichung

2022

Public URL

https://openscience.ub.uni-mainz.de/handle/20.500.12030/8120

Herausgeber

Frontiers Research Foundation

Herausgeber URL

https://www.frontiersin.org/articles/10.3389/fnbeh.2022.816334/full

Datum der Datenerfassung

2022

Datum, an dem der Datensatz öffentlich gemacht wurde

2022

Zugang

Public

Titel

Acute effects of various movement noise in differential learning of rope skipping on brain and heart recovery analyzed by means of multiscale fuzzy measure entropy

Ausgabe der Zeitschrift

16

Files

acute_effects_of_various_move-20221019124537048.pdf

Data source: OPENSCIENCE.UB

Acute Effects of Various Movement Noise in Differential Learning of Rope Skipping on Brain and Heart Recovery Analyzed by Means of Multiscale Fuzzy Measure Entropy

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