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Evaluating Autonomic Parameters: The Role of Sleep ‎Duration in Emotional Responses to Music ‎

Objective: It has been recognized that sleep has an important effect on emotion processing. The aim ‎of this study was to investigate the effect of previous night sleep duration on autonomic ‎responses to musical stimuli in different emotional contexts.‎ Method: A frequency based measure of GSR, PR...

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Detalles Bibliográficos
Autores principales: Goshvarpour‎, Atefeh, Abbasi, Ataollah, Goshvarpour‎, Ateke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Psychiatry & Psychology Research Center, Tehran University of Medical Sciences 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888142/
https://www.ncbi.nlm.nih.gov/pubmed/27252770
Descripción
Sumario:Objective: It has been recognized that sleep has an important effect on emotion processing. The aim ‎of this study was to investigate the effect of previous night sleep duration on autonomic ‎responses to musical stimuli in different emotional contexts.‎ Method: A frequency based measure of GSR, PR and ECG signals were examined in 35 healthy ‎students in three groups of oversleeping, lack of sleep and normal sleep. ‎ Results: The results of this study revealed that regardless of the emotional context of the musical ‎stimuli (happy, relax, fear, and sadness), there was an increase in the maximum power of ‎GSR, ECG and PR during the music time compared to the rest time in all the three ‎groups. In addition, the higher value of these measures was achieved while the ‎participants listened to relaxing music. Statistical analysis of the extracted features ‎between each pair of emotional states revealed that the most significant differences ‎were attained for ECG signals. These differences were more obvious in the participants ‎with normal sleeping (p<10-18). The higher value of the indices has been shown, ‎comparing long sleep duration with the normal one.‎ Conclusion: There was a strong relation between emotion and sleep duration, and this association can ‎be observed by means of the ECG signals.‎