Auditory and Nociceptive Stimuli Responses in the Electroencephalogram

U. Melia; M. Vallverdú; F. Clariá; J. Valls-Solé; P. Caminal

doi:10.3414/ME13-02-0044

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2015; 54(03): 209-214
DOI: 10.3414/ME13-02-0044

Focus Theme – Original Articles

Schattauer GmbH

Auditory and Nociceptive Stimuli Responses in the Electroencephalogram

A Non-linear Measures and Time-frequency Representation Based Analysis

U. Melia

¹Dept. ESAII, Centre for Biomedical Engineering Research, Universitat Politècnica de Catalunya, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain

,

M. Vallverdú

¹Dept. ESAII, Centre for Biomedical Engineering Research, Universitat Politècnica de Catalunya, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain

,

F. Clariá

²Dept. DIEI, Lleida University, Spain

,

J. Valls-Solé

³Dept. of Neurology, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona, Spain

,

P. Caminal

¹Dept. ESAII, Centre for Biomedical Engineering Research, Universitat Politècnica de Catalunya, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain

› Author Affiliations

Abstract

Summary

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Biosignal Interpretation: Advanced Methods for Neural Signals and Images“.

Objectives: An efficient way to investigate the neural basis of nociceptive responses is the analysis of the event-related brain potentials (ERPs). The main objective of this work was to study how adaptation and fatigue affect the ERPs to stimuli of different modalities, by characterizing the responses to infrequent and frequent stimulation in different recording periods.

Methods: In this work, series of averaged EEG epochs recorded after thermal, electrical and auditory stimulation were analyzed with time-frequency representation and non-linear measures as spectral entropy and auto-mutual information function. The study was performed by considering the traditional EEG frequency bands.

Results: The defined measures presented a statistical significance p-value < 0.01 and accuracy higher than 60% by differentiating windows of response to infrequent (I) and frequent (F) stimuli between the start and end of the EEG recording.

Conclusions: These measures permitted to observe some aspects of the subject’s adaptation and the nociceptive response.

Keywords

Non-linear dynamics - time-frequency analysis - EEG processing - evoked potential

Full Text

References

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