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Functional associations at global brain level during perception of an auditory illusion by applying maximal information coefficient

Bhattacharya, Joydeep; Pereda, Ernesto and Ioannaou, Christos I. 2018. Functional associations at global brain level during perception of an auditory illusion by applying maximal information coefficient. Physica A, 491, pp. 708-715. ISSN 0378-4371 [Article]

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Abstract or Description

Maximal information coefficient (MIC) is a recently introduced information-theoretic measure of functional association with a promising potential of application to high dimensional complex data sets. Here, we applied MIC to reveal the nature of the functional associations between different brain regions during the perception of binaural beat (BB); BB is an auditory illusion occurring when two sinusoidal tones of slightly different frequency are presented separately to each ear and an illusory beat at the different frequency is perceived. We recorded sixty-four channels EEG from two groups of participants, musicians and non-musicians, during the presentation of BB, and systematically varied the frequency difference from 1 Hz to 48 Hz. Participants were also presented non-binuaral beat (NBB) stimuli, in which same frequencies were presented to both ears. Across groups, as compared to NBB, (i) BB conditions produced the most robust changes in the MIC values at the whole brain level when the frequency differences were in the classical alpha range (8-12 Hz), and (ii) the number of electrode pairs showing nonlinear associations decreased gradually with increasing frequency difference. Between groups, significant effects were found for BBs in the broad gamma frequency range (34-48 Hz), but such effects were not observed between groups during NBB. Altogether, these results revealed the nature of functional associations at the whole brain level during the binaural beat perception and demonstrated the usefulness of MIC in characterizing interregional neural dependencies.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1016/j.physa.2017.09.037

Keywords:

EEG, Binaural beat, Network, Maximal information coefficient, Mutual information, Musician

Departments, Centres and Research Units:

Psychology

Dates:

DateEvent
1 February 2018Published
5 October 2017Published Online
19 September 2017Accepted
7 August 2016Submitted

Item ID:

21872

Date Deposited:

10 Oct 2017 12:23

Last Modified:

20 Mar 2018 15:04

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/21872

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