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EEG Brain Activity At Various Cycling Intensities

EEG Brain Activity During A Progressive Cycling Protocol

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04734808
Enrollment
20
Registered
2021-02-02
Start date
2021-02-01
Completion date
2021-08-15
Last updated
2021-04-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Keywords

EEG, Brain Imaging, Brain Waves, Cycling, Intensity

Brief summary

The aim of this study is to investigate brain activity with EEG during incremental cycling at various cycling intensities.

Detailed description

Increases in EEG power spectra have been found during graded cycling to fatigue linking brain activity to exercise intensity. Additionally, to the activation of the classical motor control regions (e.g.: motor, somatosensory, premotor and supplementary motor cortices and cerebellum), the activation of the regions associated with autonomic regulation (i.e.: insular cortex) during exercise, as well as reduced activation of cognitive-related areas (i.e.: prefrontal cortex), an effect that increased at higher perceived intensities of cycling has been observed. Furthermore, the precentral gyrus and cerebellar vermis, as well as brain areas (e.g.: posterior cingulate cortex (PCC) and precuneus) have been associated with higher levels of perceived exertion as well. Although the results were assessed sing a specially designed compatible fMRI cycling ergometer (Fontes et al., 2020), due to which the brain imaging techniques were limited to static (and horizontal) measurement conditions during cycling, we believe that the present study clearly distinguishes between claims proposed by different theoretical frameworks on brain responses during exercise. Therefore, the aim of this study is to examine the brain activity with EEG during the same incremental protocol, which will allow us to investigate the functioning of surface electrocortical activation patterns during progressive cycling exercise. Furthermore, using the advanced brain image analysis (machine learning techniques and standardized low-resolution electromagnetic tomography - sLORETA) helped us determine the frequency spectrum of brain activity in the same brain areas.

Interventions

DIAGNOSTIC_TESTElectroencephalography

Electroencephalography is an electrophysiological monitoring method to record electrical activity of the brain.

DIAGNOSTIC_TESTElectromyography

Electromyography is an electrodiagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. We will use the hdEMG version.

Sponsors

University Maribor
CollaboratorOTHER
University of Geneva, Switzerland
CollaboratorOTHER
Science and Research Centre Koper
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
MALE
Age
22 Years to 40 Years
Healthy volunteers
Yes

Inclusion criteria

* Heathy and recreationaly active men * No significant muscular, skeleton or nervous system damage * Cycloergometry test (positive)

Exclusion criteria

* Nervous system disorders * Cardiovascular disorders (e.g.: high blood pressure, arrhythmia...) * Asthma

Design outcomes

Primary

MeasureTime frameDescription
Beta band suppressionDuring the interventionReduction of beta is one of the cortical markers which is usually obtained from the central electrodes and occurs with movement initiation.

Secondary

MeasureTime frameDescription
Brain mappingDuring the interventionAnalyzing the change in (de)activated regions of interest (ROI) of the brain between cycling during increasing exercise conditions

Countries

Slovenia

Contacts

Primary ContactTeja Ličen, MsC
teja.licen@um.si+38656637700
Backup ContactUros Marusic, PhD
uros.marusic@zrs-kp.si+38656637700

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026