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A High-Density EEG Investigation into Steady State Binaural Beat Stimulation

Overview of attention for article published in PLOS ONE, April 2012
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Title
A High-Density EEG Investigation into Steady State Binaural Beat Stimulation
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034789
Pubmed ID
Authors

Peter Goodin, Joseph Ciorciari, Kate Baker, Anne-Marie Carrey, Michelle Harper, Jordy Kaufman

Abstract

Binaural beats are an auditory phenomenon that has been suggested to alter physiological and cognitive processes including vigilance and brainwave entrainment. Some personality traits measured by the NEO Five Factor Model have been found to alter entrainment using pulsing light stimuli, but as yet no studies have examined if this occurs using steady state presentation of binaural beats for a relatively short presentation of two minutes. This study aimed to examine if binaural beat stimulation altered vigilance or cortical frequencies and if personality traits were involved. Thirty-one participants were played binaural beat stimuli designed to elicit a response at either the Theta (7 Hz) or Beta (16 Hz) frequency bands while undertaking a zero-back vigilance task. EEG was recorded from a high-density electrode cap. No significant differences were found in vigilance or cortical frequency power during binaural beat stimulation compared to a white noise control period. Furthermore, no significant relationships were detected between the above and the Big Five personality traits. This suggests a short presentation of steady state binaural beats are not sufficient to alter vigilance or entrain cortical frequencies at the two bands examined and that certain personality traits were not more susceptible than others.

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The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Belgium 2 <1%
Spain 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Canada 1 <1%
Australia 1 <1%
Russia 1 <1%
Portugal 1 <1%
Other 2 <1%
Unknown 188 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 39 19%
Student > Master 32 16%
Student > Ph. D. Student 27 13%
Researcher 25 12%
Other 12 6%
Other 30 15%
Unknown 38 19%
Readers by discipline Count As %
Psychology 47 23%
Engineering 31 15%
Medicine and Dentistry 24 12%
Neuroscience 22 11%
Agricultural and Biological Sciences 13 6%
Other 23 11%
Unknown 43 21%