Imperial College London
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ProfessorDaniloMandic

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tonoyan:2017:10.1371/journal.pone.0186916,
author = {Tonoyan, Y and Chanwimalueang, T and Mandic, DP and Van, Hulle MM},
doi = {10.1371/journal.pone.0186916},
journal = {PLOS One},
title = {Discrimination of emotional states from scalp- and intracranial EEG using multiscale Renyi entropy},
url = {http://dx.doi.org/10.1371/journal.pone.0186916},
volume = {12},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A data-adaptive, multiscale version of Rényi’s quadratic entropy (RQE) is introduced for emotional state discrimination from EEG recordings. The algorithm is applied to scalp EEG recordings of 30 participants watching 4 emotionally-charged video clips taken from a validated public database. Krippendorff’s inter-rater statistic reveals that multiscale RQE of the mid-frontal scalp electrodes best discriminates between five emotional states. Multiscale RQE is also applied to joint scalp EEG, amygdala- and occipital pole intracranial recordings of an implanted patient watching a neutral and an emotionally charged video clip. Unlike for the neutral video clip, the RQEs of the mid-frontal scalp electrodes and the amygdala-implanted electrodes are observed to coincide in the time range where the crux of the emotionally-charged video clip is revealed. In addition, also during this time range, phase synchrony between the amygdala and mid-frontal recordings is maximal, as well as our 30 participants’ inter-rater agreement on the same video clip. A source reconstruction exercise using intracranial recordings supports our assertion that amygdala could contribute to mid-frontal scalp EEG. On the contrary, no such contribution was observed for the occipital pole’s intracranial recordings. Our results suggest that emotional states discriminated from mid-frontal scalp EEG are likely to be mirrored by differences in amygdala activations in particular when recorded in response to emotionally-charged scenes.
AU  - Tonoyan,Y
AU  - Chanwimalueang,T
AU  - Mandic,DP
AU  - Van,Hulle MM
DO  - 10.1371/journal.pone.0186916
PY  - 2017///
SN  - 1932-6203
TI  - Discrimination of emotional states from scalp- and intracranial EEG using multiscale Renyi entropy
T2  - PLOS One
UR  - http://dx.doi.org/10.1371/journal.pone.0186916
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000414377900011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/56222
VL  - 12
ER  -
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