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The aim of this study is to investigate brain activity with EEG during incremental cycling at various cycling intensities.
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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.
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Teja Ličen, MsC; Uros Marusic, PhD
Data sourced from clinicaltrials.gov
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