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Visual perception affected by motivation and alertness controlled by a noninvasive brain-computer interface.

Vladimir A Maksimenko1, Anastasia E Runnova1, Maksim O Zhuravlev1

  • 1Yuri Gagarin Technical State University of Saratov, Politehnicheskaya, 77, 410054 Saratov, Russia.

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Summary

Motivation enhances alertness during visual perception tasks. Increased alertness in motivated individuals alters brain activity patterns, specifically in alpha and beta rhythms, aiding in real-time alertness monitoring.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Brain-Computer Interfaces

Background:

  • Visual perception involves complex brain activity.
  • Motivation and alertness are known to influence cognitive processes.
  • Ambiguous stimuli, like the Necker cube, are useful for studying perceptual decision-making.

Purpose of the Study:

  • To investigate the influence of motivation and alertness on brain activity during visual perception.
  • To identify distinct electroencephalogram (EEG) patterns associated with different perceptual scenarios.
  • To develop a brain-computer interface (BCI) for real-time alertness monitoring.

Main Methods:

  • Experimentally used the Necker cube with controlled ambiguity.
  • Recorded multichannel electroencephalograms (EEG).
  • Applied wavelet analysis to EEG data to analyze alpha and beta wave activity.

Main Results:

  • Identified two distinct EEG scenarios during ambiguous stimulus processing.
  • Scenario 1: Alpha rhythm suppression and increased beta activity, prevalent in motivated subjects and with higher stimulus ambiguity.
  • Scenario 2: Unchanged alpha activity and less pronounced beta activity, observed in less motivated subjects.

Conclusions:

  • Motivation enhances alertness, leading to specific changes in EEG patterns (alpha and beta rhythms).
  • These findings suggest potential applications in monitoring and controlling human alertness in attention-demanding situations.
  • A BCI was developed to estimate and control alertness levels in real time based on these results.