Shinnosuke Yoshiiwa, H. Takano, Keisuke Ido, Ken-ichi Morishige
{"title":"N-Back工作记忆任务中脑电信号皮层电流的估计","authors":"Shinnosuke Yoshiiwa, H. Takano, Keisuke Ido, Ken-ichi Morishige","doi":"10.1109/ICMLC56445.2022.9941314","DOIUrl":null,"url":null,"abstract":"Electroencephalography studies of working memory have demonstrated cortical activities and oscillatory representations without clarifying what kind of information is stored in memory representations. To answer this question, we measured scalp EEG and fMRI data while participants performed a N-back working memory task. We calculated the current intensities from the estimated cortical currents. To investigate the representation of working memory in the cortical regions, we classified information about its contents using the power spectrum during a retention period. These results indicate that our method classified (to some extent) the oscillatory representations of EEG cortical currents over multiple regions.","PeriodicalId":117829,"journal":{"name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation Of Cortical Currents From Eeg Signals During N-Back Working Memory Tasks\",\"authors\":\"Shinnosuke Yoshiiwa, H. Takano, Keisuke Ido, Ken-ichi Morishige\",\"doi\":\"10.1109/ICMLC56445.2022.9941314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electroencephalography studies of working memory have demonstrated cortical activities and oscillatory representations without clarifying what kind of information is stored in memory representations. To answer this question, we measured scalp EEG and fMRI data while participants performed a N-back working memory task. We calculated the current intensities from the estimated cortical currents. To investigate the representation of working memory in the cortical regions, we classified information about its contents using the power spectrum during a retention period. These results indicate that our method classified (to some extent) the oscillatory representations of EEG cortical currents over multiple regions.\",\"PeriodicalId\":117829,\"journal\":{\"name\":\"2022 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC56445.2022.9941314\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC56445.2022.9941314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation Of Cortical Currents From Eeg Signals During N-Back Working Memory Tasks
Electroencephalography studies of working memory have demonstrated cortical activities and oscillatory representations without clarifying what kind of information is stored in memory representations. To answer this question, we measured scalp EEG and fMRI data while participants performed a N-back working memory task. We calculated the current intensities from the estimated cortical currents. To investigate the representation of working memory in the cortical regions, we classified information about its contents using the power spectrum during a retention period. These results indicate that our method classified (to some extent) the oscillatory representations of EEG cortical currents over multiple regions.