Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

Na Li; Bin Hu; Jing Chen; Hong Peng; Qinglin Zhao; Mingqi Zhao

doi:10.1007/978-3-642-42042-9_64

Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

Na Li, Bin Hu^*, Jing Chen, Hong Peng, Qinglin Zhao, Mingqi Zhao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.

Original language	English
Title of host publication	Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
Pages	512-521
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-42042-9_64
Publication status	Published - 2013
Externally published	Yes
Event	20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, Korea, Republic of Duration: 3 Nov 2013 → 7 Nov 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8227 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Neural Information Processing, ICONIP 2013
Country/Territory	Korea, Republic of
City	Daegu
Period	3/11/13 → 7/11/13

Keywords

Complexity
Electroencephalogram
Frontal asymmetry
Stress
Stressor

Access to Document

10.1007/978-3-642-42042-9_64

Cite this

Li, N., Hu, B., Chen, J., Peng, H., Zhao, Q., & Zhao, M. (2013). Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings (PART 2 ed., pp. 512-521). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8227 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-42042-9_64

Li, Na ; Hu, Bin ; Chen, Jing et al. / Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2. ed. 2013. pp. 512-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings",

abstract = "Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.",

keywords = "Complexity, Electroencephalogram, Frontal asymmetry, Stress, Stressor",

author = "Na Li and Bin Hu and Jing Chen and Hong Peng and Qinglin Zhao and Mingqi Zhao",

year = "2013",

doi = "10.1007/978-3-642-42042-9_64",

language = "English",

isbn = "9783642420412",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "512--521",

booktitle = "Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings",

edition = "PART 2",

note = "20th International Conference on Neural Information Processing, ICONIP 2013 ; Conference date: 03-11-2013 Through 07-11-2013",

}

Li, N, Hu, B, Chen, J, Peng, H, Zhao, Q & Zhao, M 2013, Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. in Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8227 LNCS, pp. 512-521, 20th International Conference on Neural Information Processing, ICONIP 2013, Daegu, Korea, Republic of, 3/11/13. https://doi.org/10.1007/978-3-642-42042-9_64

Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. / Li, Na; Hu, Bin; Chen, Jing et al.
Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2. ed. 2013. p. 512-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8227 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

AU - Li, Na

AU - Hu, Bin

AU - Chen, Jing

AU - Peng, Hong

AU - Zhao, Qinglin

AU - Zhao, Mingqi

PY - 2013

Y1 - 2013

N2 - Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.

AB - Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age.

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KW - Electroencephalogram

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Li N, Hu B, Chen J, Peng H, Zhao Q, Zhao M. Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 ed. 2013. p. 512-521. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-42042-9_64

Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings

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Keywords

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