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Differences in motivation during the bench press movement with progressive loads using EEG analysis.

Adam Maszczyk1, Paweł Dobrakowski2, Marcin Żak1

  • 1Department of Methodology, Statistics and Informatics, The Jerzy Kukuczka Academy of Physical Education in Katowice, Poland.

Biology of Sport
|January 16, 2020
PubMed
Summary

This study explored brain activity differences in novice versus elite powerlifters using electroencephalography (EEG) during the bench press. Results indicated potential motivation-related brain patterns, but movement artifacts limit current EEG applications in dynamic sports.

Keywords:
Bench pressBrain activityEEGMotivation

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Area of Science:

  • Neuroscience
  • Sports Science
  • Kinesiology

Background:

  • Preliminary electroencephalography (EEG) research suggests motivation differences between novice and elite powerlifters.
  • Frontal alpha asymmetry (FAA) is a potential neural correlate of motivation and emotional states.
  • Understanding brain activity during resistance training can inform performance enhancement strategies.

Purpose of the Study:

  • To investigate differences in frontal alpha asymmetry (FAA) patterns between novice and elite powerlifters during the flat bench press.
  • To analyze alpha frequency band activity (alpha motivation values) across varying intensities (35-100% 1RM) of the bench press exercise.
  • To explore the relationship between brain activity, motivation, and resistance training experience.

Main Methods:

  • Recruited ten novice and ten elite powerlifters with distinct training experience levels.
  • Recorded EEG signals from frontal electrodes (F3, F4) in the 8-12 Hz alpha band during flat bench press at 35%, 50%, 75%, and 100% of 1RM.
  • Assessed participants' emotional states pre-testing and recorded electromyographic (EMG) signals from the trapezius muscle.

Main Results:

  • EEG successfully captured brain activity patterns before, during, and after cognitive and motor tasks.
  • Observed differences in brain activity related to varying intensities of the bench press exercise.
  • Identified challenges with movement artifacts in EEG recordings during dynamic movements like weightlifting.

Conclusions:

  • Preliminary findings suggest potential differences in motivation-related brain activity between novice and elite powerlifters.
  • The study highlights the need for further research to validate these findings and refine EEG methodologies for dynamic sports.
  • Current EEG measurement limitations restrict its application to relatively motionless exercises, necessitating methodological advancements for broader use in sports science.