Stress assessment based on EEG univariate features and functional connectivity measures


Por: Alonso, JF, Romero, S, Ballester, MR, Antonijoan, RM, Mananas, MA

Publicada: 1 jul 2015
Resumen:
The biological response to stress originates in the brain but involves different biochemical and physiological effects. Many common clinical methods to assess stress are based on the presence of specific hormones and on features extracted from different signals, including electrocardiogram, blood pressure, skin temperature, or galvanic skin response. The aim of this paper was to assess stress using EEG-based variables obtained from univariate analysis and functional connectivity evaluation. Two different stressors, the Stroop test and sleep deprivation, were applied to 30 volunteers to find common EEG patterns related to stress effects. Results showed a decrease of the high alpha power (11 to 12 Hz), an increase in the high beta band (23 to 36 Hz, considered a busy brain indicator), and a decrease in the approximate entropy. Moreover, connectivity showed that the high beta coherence and the interhemispheric nonlinear couplings, measured by the cross mutual information function, increased significantly for both stressors, suggesting that useful stress indexes may be obtained from EEG-based features.

Filiaciones:
Alonso, JF:
 Univ Politecn Cataluna, Biomed Engn Res Ctr, Dept Automat Control ESAII, Barcelona, Spain

 UPC, Barcelona Coll Ind Engn EUETIB, Barcelona, Spain

 Biomed Res Networking Ctr Bioengn Biomat & Nanome, Vitoria, Spain

Romero, S:
 Univ Politecn Cataluna, Biomed Engn Res Ctr, Dept Automat Control ESAII, Barcelona, Spain

 Biomed Res Networking Ctr Bioengn Biomat & Nanome, Vitoria, Spain

Ballester, MR:
 Drug Res Ctr CIM, Inst Biomed Res IIB, RI, Barcelona, Spain

 Hosp Santa Creu & Sant Pau, Barcelona, Spain

 Univ Autonoma Barcelona, Dept Pharmacol & Therapeut, E-08193 Barcelona, Spain

Antonijoan, RM:
 Drug Res Ctr CIM, Inst Biomed Res IIB, RI, Barcelona, Spain

 Hosp Santa Creu & Sant Pau, Barcelona, Spain

 Univ Autonoma Barcelona, Dept Pharmacol & Therapeut, E-08193 Barcelona, Spain

 Biomed Res Networking Ctr Mental Hlth CIBERSAM, Vitoria, Spain

Mananas, MA:
 Univ Politecn Cataluna, Biomed Engn Res Ctr, Dept Automat Control ESAII, Barcelona, Spain

 UPC, Barcelona Coll Ind Engn EUETIB, Barcelona, Spain

 Biomed Res Networking Ctr Bioengn Biomat & Nanome, Vitoria, Spain
ISSN: 09673334





PHYSIOLOGICAL MEASUREMENT
Editorial
IOP PUBLISHING LTD, TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 36 Número: 7
Páginas: 1351-1365
WOS Id: 000357422800003
ID de PubMed: 26015439
imagen Open Access

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