Electrophysiological impact of mental fatigue on brain activity during a bike task: a wavelet analysis approach.

Beta Band Cognitive Fatigue Continuous Wavelet Transformation Electroencephalography Ratings of Perceived Exertion

Journal

Physiology & behavior
ISSN: 1873-507X
Titre abrégé: Physiol Behav
Pays: United States
ID NLM: 0151504

Informations de publication

Date de publication:
17 May 2024
Historique:
received: 21 02 2024
revised: 29 04 2024
accepted: 16 05 2024
medline: 20 5 2024
pubmed: 20 5 2024
entrez: 19 5 2024
Statut: aheadofprint

Résumé

This study explored how mental fatigue affects brain activity during a low-intensity bike task utilising a continuous wavelet transformation in electroencephalography (EEG) analysis. The aim was to examine changes in brain activity potentially linked to central motor commands and to investigate their relationship with ratings of perceived exertion (RPE). In this study, sixteen participants (age: 21 ± 6 y, 7 females, 9 males) underwent one familiarization and two experimental trials in a randomised, blinded, cross-over study design. Participants executed a low-intensity bike task (9 min; 45 rpm; intensity (W): 10% below aerobic threshold) after performing a mentally fatiguing (individualized 60-min Stroop task) or a control (documentary) task. Physiological (heart rate, EEG) and subjective measures (self-reported feeling of mental fatigue, RPE, cognitive load, motivation) were assessed prior, during and after the bike task. Post-Stroop, self-reported feeling of mental fatigue was higher in the intervention group (EXP) (74 ± 16) than in the control group (CON) (37 ± 17; p<0.001). No significant differences in RPE during the bike task were observed between conditions. EEG analysis revealed significant differences (p<0.05) in beta frequency (13 - 30 Hz) during the bike task, with EXP exhibiting more desynchronization during the pedal push phase and synchronization during the pedal release phase. These results suggest that mental fatigue, confirmed by both subjective and neurophysiological markers, did not significantly impact RPE during the bike task, possibly due to the use of the CR100 scale or absence of a performance outcome. However, EEG data did reveal significant beta band alterations during the task, indicating increased neural effort under mental fatigue. These findings reveal, for the first time, how motor-related brain activity at the motor cortex is impacted during a low-intensity bike task when mentally fatigued.

Identifiants

pubmed: 38763379
pii: S0031-9384(24)00131-8
doi: 10.1016/j.physbeh.2024.114586
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114586

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of comepting interest This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. No conflict of interest is declared by the authors. The results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The results of the present study do not constitute endorsement by the American College of Sports Medicine.

Auteurs

Matthias Proost (M)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium.

Sander De Bock (S)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium; BruBotics, Vrije Universiteit Brussel, Brussels, Belgium.

Jelle Habay (J)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium; Vital signs and performance monitoring research Unit, LIFE Department, Royal Military Academy, Belgium; Research Foundation Flanders (FWO), Brussels, Belgium.

Guy Nagels (G)

AIMS Lab, Center for Neurosciences, Vrije Universiteit Brussel, Ke.2.13, Pleinlaan 2, 1050, Elsene, Brussels, Belgium.

Kevin De Pauw (K)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium; BruBotics, Vrije Universiteit Brussel, Brussels, Belgium.

Romain Meeusen (R)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium; BruBotics, Vrije Universiteit Brussel, Brussels, Belgium.

Bart Roelands (B)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium; BruBotics, Vrije Universiteit Brussel, Brussels, Belgium. Electronic address: bart.roelands@vub.be.

Jeroen Van Cutsem (J)

Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium; Research Foundation Flanders (FWO), Brussels, Belgium.

Classifications MeSH