Ayumi Muramatsu, Shohei Kobayashi, Y. Mizuno-Matsumoto
{"title":"Complex Network Analysis of the Electroencephalography Elicited by Emotional Stimuli Presented on the Smartphone","authors":"Ayumi Muramatsu, Shohei Kobayashi, Y. Mizuno-Matsumoto","doi":"10.5057/JJSKE.TJSKE-D-18-00080","DOIUrl":null,"url":null,"abstract":": This research aimed to investigate the effect that smartphones have on brain networks. The Subjects were 23 healthy adults (25.7 ± 5.64 years old). Five sessions with relax, pleasant, unpleasant, pleasant sentences, and unpleasant sentences, stimuli were conducted using a smartphone. The electroencephalography (EEG) was measured soon after the stimuli. The coherence analysis and the complex network analysis were conducted for EEG in the alpha2 wave band. In the stress-free group, the brain shows low network efficiency under relax or pleasant stimuli, and high network efficiency under unpleasant stimuli. In the stress group, there are no differences in network efficiency among any kinds of stimuli. In either group, the network efficiency under sentence stimuli is close to that under unpleasant stimuli. Our study using complex network analysis for the coherence value from EEG revealed that network efficiency of the brain depends on the category of emotional stimuli during smartphone operation.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of Japan Society of Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5057/JJSKE.TJSKE-D-18-00080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: This research aimed to investigate the effect that smartphones have on brain networks. The Subjects were 23 healthy adults (25.7 ± 5.64 years old). Five sessions with relax, pleasant, unpleasant, pleasant sentences, and unpleasant sentences, stimuli were conducted using a smartphone. The electroencephalography (EEG) was measured soon after the stimuli. The coherence analysis and the complex network analysis were conducted for EEG in the alpha2 wave band. In the stress-free group, the brain shows low network efficiency under relax or pleasant stimuli, and high network efficiency under unpleasant stimuli. In the stress group, there are no differences in network efficiency among any kinds of stimuli. In either group, the network efficiency under sentence stimuli is close to that under unpleasant stimuli. Our study using complex network analysis for the coherence value from EEG revealed that network efficiency of the brain depends on the category of emotional stimuli during smartphone operation.