Eyes Closing and Drowsiness in Human Subjects Decrease Baseline Galvanic Skin Response and Active Palmar Sweating: Relationship Between Galvanic Skin and Palmar Perspiration Responses.

GSR amygdala drowsiness eyes closing palmar sweating perspiration ratemeter

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2020
Historique:
received: 01 05 2020
accepted: 16 10 2020
entrez: 28 12 2020
pubmed: 29 12 2020
medline: 29 12 2020
Statut: epublish

Résumé

We previously constructed a perspiration ratemeter for the measurement of palmar sweating in human subjects. Although galvanic skin response (GSR) has been used to evaluate emotional responses in human subjects, little is known about the relationships between the phasic and baseline components in GSR and active palmar sweating. From the aforementioned, we aimed to investigate the relationships in human subjects with handgrip exercise and eyes closing or opening. Fifteen healthy volunteers (mean age: 26.9 ± 8.7 years) participated in the present experiments. We investigated the effects of maximal handgrip exercise, eyes closing or opening, and self-awareness of drowsy on the GSR, active palmar sweating, R-R interval in electrocardiograph (ECG), and percentage of α wave in EEG. The faster phasic component in GSR completely agreed with the starting point of active palmar sweating. Handgrip exercise induced significantly faster spike in GSR, active palmar sweating, and decrease in R-R interval in ECG. Eyes closing produced significant decreases in baseline GSR and active palmar sweating in all human subjects. The percentage of α wave in electroencephalograph (EEG) also increased. In contrast, eyes opening increased significantly the baseline GSR and active palmar sweating. In the equivalent electrical model of human skin, the eyes closing-mediated time-dependent decrease in the baseline GSR completely agreed with the hypothesis that the palmar skin voltage only in the model decreased time dependently to 0.4 of the control during 6 min. The self-awareness of drowsy in mid-night working with computer produced similar decreases in baseline GSR and active palmar sweating to the responses with eyes closing in all human subjects. In conclusion, the faster spike in GSR completely agreed with the starting point of active palmar sweating. Eyes closing and opening or self-awareness of drowsy significantly produced changes in baseline GSR and active palmar sweating, which may become useful tools for evaluating clearness or drowsiness in human subjects.

Identifiants

pubmed: 33362571
doi: 10.3389/fphys.2020.558047
pmc: PMC7758350
doi:

Types de publication

Journal Article

Langues

eng

Pagination

558047

Informations de copyright

Copyright © 2020 Momose, Morimitsu, Ikeda, Kanai, Sakaguchi and Ohhashi.

Déclaration de conflit d'intérêts

HM was employed by company SKINOS Co., Ltd. NM and EI were employed by company Rubycon Co., Ltd. SK was employed by company NEC Solution Innovators Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Hideya Momose (H)

Department of Innovation of Medical and Health Sciences Research, Shinshu University School of Medicine, Matsumoto, Japan.

Norimasa Morimitsu (N)

Department of Innovation of Medical and Health Sciences Research, Shinshu University School of Medicine, Matsumoto, Japan.

Eiji Ikeda (E)

Department of Innovation of Medical and Health Sciences Research, Shinshu University School of Medicine, Matsumoto, Japan.

Shigeki Kanai (S)

Department of Innovation of Medical and Health Sciences Research, Shinshu University School of Medicine, Matsumoto, Japan.

Masao Sakaguchi (M)

Department of Innovation of Medical and Health Sciences Research, Shinshu University School of Medicine, Matsumoto, Japan.

Toshio Ohhashi (T)

Department of Innovation of Medical and Health Sciences Research, Shinshu University School of Medicine, Matsumoto, Japan.

Classifications MeSH