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Pre-stimulus brain state predicts auditory pattern identification accuracy.

Natalie E Hansen1, Assaf Harel2, Nandini Iyer3

  • 1U.S. Air Force Research Laboratory, 45433, USA; Wright State University, 45435, USA.

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|May 27, 2019
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Summary
This summary is machine-generated.

Pre-stimulus electroencephalogram (EEG) phase, not power, predicts accuracy in complex auditory tasks. Specific 7-10 Hz EEG phase states approximately 200ms before sound onset correlate with identification accuracy.

Keywords:
AlphaAttentionInter-trial phase consistencyOscillationTime-frequency

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Cognitive Psychology

Background:

  • Pre-stimulus electroencephalogram (EEG) power and phase predict near-threshold stimulus detection accuracy.
  • Auditory modality results are mixed, especially for complex sound identification without background noise.
  • The role of pre-stimulus EEG phase in auditory tasks without induced oscillatory states is unclear.

Purpose of the Study:

  • To investigate the relationship between pre-stimulus EEG phase and accuracy in a complex auditory identification task.
  • To determine if pre-stimulus EEG power or phase predicts performance in a tone pattern identification task.
  • To examine pre-stimulus EEG effects in the absence of background sounds.

Main Methods:

  • Participants performed a tone pattern identification task involving triads of sinusoidal tones.
  • Pre-stimulus EEG data were recorded and analyzed using a phase opposition measure.
  • Inter-trial phase consistencies were used to assess pre-stimulus 7-10 Hz phase and power.

Main Results:

  • Pre-stimulus 7-10 Hz EEG phase, but not power, differed significantly between correct and incorrect trials.
  • Accuracy was lowest when pre-stimulus phase was approximately π relative to the most accurate phase.
  • These phase effects occurred approximately 200-100 ms before tone pattern onset.

Conclusions:

  • Pre-stimulus EEG phase is a significant predictor of accuracy in complex auditory identification tasks, even without background sounds.
  • Findings suggest a link between task complexity, auditory processing, and pre-stimulus oscillatory states.
  • The results highlight the importance of considering pre-stimulus neural dynamics in auditory perception research.