Cycling reduces the entropy of neuronal activity in the human adult cortex

Iara Beatriz Silva Ferré; Gilberto Corso; Gustavo Zampier dos Santos Lima; Sergio  Roberto Lopes; Mario Andre Leocadio-Miguel; Lucas G. S. Franca; Thiago de Lima Prado; John Fontenele Araujo

doi:10.1371/journal.pone.0298703

Cycling reduces the entropy of neuronal activity in the human adult cortex

Iara Beatriz Silva Ferré, Gilberto Corso, Gustavo Zampier dos Santos Lima, Sergio Roberto Lopes, Mario Andre Leocadio-Miguel^*, Lucas G. S. Franca, Thiago de Lima Prado, John Fontenele Araujo

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

49 Downloads (Pure)

Abstract

Brain Complexity (BC) have successfully been applied to study the brain electroencephalographic signal (EEG) in health and disease. In this study, we employed recurrence entropy to quantify BC associated with the neurophysiology of movement by comparing BC in both resting state and cycling movement. We measured EEG in 24 healthy adults and placed the electrodes on occipital, parietal, temporal and frontal sites on both the right and left sides of the brain. We computed the recurrence entropy from EEG measurements during cycling and resting states. Entropy is higher in the resting state than in the cycling state for all brain regions analysed. This reduction in complexity is a result of the repetitive movements that occur during cycling. These movements lead to continuous sensorial feedback, resulting in reduced entropy and sensorimotor processing.

Original language	English
Article number	e0298703
Number of pages	10
Journal	PLoS One
Volume	19
Issue number	10
DOIs	https://doi.org/10.1371/journal.pone.0298703
Publication status	Published - 2 Oct 2024

Access to Document

10.1371/journal.pone.0298703Licence: CC BY

Cycling_PLoS_One_rev1Accepted author manuscript, 1.64 MBLicence: CC BY
journal.pone.0298703Final published version, 1.6 MBLicence: CC BY

Cite this

@article{f7035701435248c39990884585fd36d2,

title = "Cycling reduces the entropy of neuronal activity in the human adult cortex",

abstract = "Brain Complexity (BC) have successfully been applied to study the brain electroencephalographic signal (EEG) in health and disease. In this study, we employed recurrence entropy to quantify BC associated with the neurophysiology of movement by comparing BC in both resting state and cycling movement. We measured EEG in 24 healthy adults and placed the electrodes on occipital, parietal, temporal and frontal sites on both the right and left sides of the brain. We computed the recurrence entropy from EEG measurements during cycling and resting states. Entropy is higher in the resting state than in the cycling state for all brain regions analysed. This reduction in complexity is a result of the repetitive movements that occur during cycling. These movements lead to continuous sensorial feedback, resulting in reduced entropy and sensorimotor processing.",

author = "Ferr{\'e}, \{Iara Beatriz Silva\} and Gilberto Corso and \{dos Santos Lima\}, \{Gustavo Zampier\} and Lopes, \{Sergio Roberto\} and Leocadio-Miguel, \{Mario Andre\} and Franca, \{Lucas G. S.\} and Prado, \{Thiago de Lima\} and \{Fontenele Araujo\}, John",

year = "2024",

month = oct,

day = "2",

doi = "10.1371/journal.pone.0298703",

language = "English",

volume = "19",

journal = "PLoS One",

issn = "1932-6203",

publisher = "Public Library of Science",

number = "10",

}

TY - JOUR

T1 - Cycling reduces the entropy of neuronal activity in the human adult cortex

AU - Ferré, Iara Beatriz Silva

AU - Corso, Gilberto

AU - dos Santos Lima, Gustavo Zampier

AU - Lopes, Sergio Roberto

AU - Leocadio-Miguel, Mario Andre

AU - Franca, Lucas G. S.

AU - Prado, Thiago de Lima

AU - Fontenele Araujo, John

PY - 2024/10/2

Y1 - 2024/10/2

N2 - Brain Complexity (BC) have successfully been applied to study the brain electroencephalographic signal (EEG) in health and disease. In this study, we employed recurrence entropy to quantify BC associated with the neurophysiology of movement by comparing BC in both resting state and cycling movement. We measured EEG in 24 healthy adults and placed the electrodes on occipital, parietal, temporal and frontal sites on both the right and left sides of the brain. We computed the recurrence entropy from EEG measurements during cycling and resting states. Entropy is higher in the resting state than in the cycling state for all brain regions analysed. This reduction in complexity is a result of the repetitive movements that occur during cycling. These movements lead to continuous sensorial feedback, resulting in reduced entropy and sensorimotor processing.

AB - Brain Complexity (BC) have successfully been applied to study the brain electroencephalographic signal (EEG) in health and disease. In this study, we employed recurrence entropy to quantify BC associated with the neurophysiology of movement by comparing BC in both resting state and cycling movement. We measured EEG in 24 healthy adults and placed the electrodes on occipital, parietal, temporal and frontal sites on both the right and left sides of the brain. We computed the recurrence entropy from EEG measurements during cycling and resting states. Entropy is higher in the resting state than in the cycling state for all brain regions analysed. This reduction in complexity is a result of the repetitive movements that occur during cycling. These movements lead to continuous sensorial feedback, resulting in reduced entropy and sensorimotor processing.

UR - https://www.scopus.com/pages/publications/85205527359

U2 - 10.1371/journal.pone.0298703

DO - 10.1371/journal.pone.0298703

M3 - Article

SN - 1932-6203

VL - 19

JO - PLoS One

JF - PLoS One

IS - 10

M1 - e0298703

ER -

Cycling reduces the entropy of neuronal activity in the human adult cortex

Abstract

Access to Document

Other files and links

Fingerprint

Cycling reduces the entropy of neuronal activity in the human adult cortex

Cite this