{"title":"脑电图皮层 Theta、Beta 和 Gamma 频率源协调视听互动。","authors":"Manisha Dubey, Vinay Chitturi, Prashant Tayade, Ratna Sharma, Simran Kaur","doi":"10.1177/09727531241262193","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The fascinating ability of brain to integrate information from multiple sensory inputs has intrigued many researchers. Audio-visual (AV) interaction is a form of multisensory integration which we encounter to form meaningful representations of the environment around us. There is limited literature related to the underlying neural mechanisms.</p><p><strong>Purpose: </strong>Quantitative EEG (QEEG), a tool with high temporal resolution can be used to understand cortical sources of AV interactions.</p><p><strong>Methods: </strong>EEG data was recorded using 128 channels from 30 healthy subjects using audio, visual and AV stimuli in 'object detection task'. Electrical source imaging was performed using s-LORETA across seven frequency bands (lower alpha 1, lower alpha 2, upper alpha, beta, delta, gamma, theta) during AV versus unimodal conditions across 66 gyri.</p><p><strong>Results: </strong>The cortical sources were activated in the theta, beta, and gamma bands in cross modal versus unimodal conditions, which we propose, reflect neural communication for AV interaction network. The cortical sources constituted areas involved with visual processing, auditory processing, established multisensory (frontotemporal cortex, parietal cortex, middle temporal gyrus, superior frontal gyrus, inferior frontal gyrus, precentral gyrus) and potential multisensory areas (paracentral, postcentral and subcallosal).</p><p><strong>Conclusion: </strong>Together, these results offer an integrative view of cortical areas in frequency oscillations during AV interactions.</p>","PeriodicalId":7921,"journal":{"name":"Annals of Neurosciences","volume":" ","pages":"09727531241262193"},"PeriodicalIF":1.8000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561918/pdf/","citationCount":"0","resultStr":"{\"title\":\"EEG Cortical Sources of Theta, Beta and \\u2028Gamma Frequencies Orchestrate \\u2028Audio-Visual Interactions.\",\"authors\":\"Manisha Dubey, Vinay Chitturi, Prashant Tayade, Ratna Sharma, Simran Kaur\",\"doi\":\"10.1177/09727531241262193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The fascinating ability of brain to integrate information from multiple sensory inputs has intrigued many researchers. Audio-visual (AV) interaction is a form of multisensory integration which we encounter to form meaningful representations of the environment around us. There is limited literature related to the underlying neural mechanisms.</p><p><strong>Purpose: </strong>Quantitative EEG (QEEG), a tool with high temporal resolution can be used to understand cortical sources of AV interactions.</p><p><strong>Methods: </strong>EEG data was recorded using 128 channels from 30 healthy subjects using audio, visual and AV stimuli in 'object detection task'. Electrical source imaging was performed using s-LORETA across seven frequency bands (lower alpha 1, lower alpha 2, upper alpha, beta, delta, gamma, theta) during AV versus unimodal conditions across 66 gyri.</p><p><strong>Results: </strong>The cortical sources were activated in the theta, beta, and gamma bands in cross modal versus unimodal conditions, which we propose, reflect neural communication for AV interaction network. The cortical sources constituted areas involved with visual processing, auditory processing, established multisensory (frontotemporal cortex, parietal cortex, middle temporal gyrus, superior frontal gyrus, inferior frontal gyrus, precentral gyrus) and potential multisensory areas (paracentral, postcentral and subcallosal).</p><p><strong>Conclusion: </strong>Together, these results offer an integrative view of cortical areas in frequency oscillations during AV interactions.</p>\",\"PeriodicalId\":7921,\"journal\":{\"name\":\"Annals of Neurosciences\",\"volume\":\" \",\"pages\":\"09727531241262193\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561918/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Neurosciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09727531241262193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Neurosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09727531241262193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
EEG Cortical Sources of Theta, Beta and Gamma Frequencies Orchestrate Audio-Visual Interactions.
Background: The fascinating ability of brain to integrate information from multiple sensory inputs has intrigued many researchers. Audio-visual (AV) interaction is a form of multisensory integration which we encounter to form meaningful representations of the environment around us. There is limited literature related to the underlying neural mechanisms.
Purpose: Quantitative EEG (QEEG), a tool with high temporal resolution can be used to understand cortical sources of AV interactions.
Methods: EEG data was recorded using 128 channels from 30 healthy subjects using audio, visual and AV stimuli in 'object detection task'. Electrical source imaging was performed using s-LORETA across seven frequency bands (lower alpha 1, lower alpha 2, upper alpha, beta, delta, gamma, theta) during AV versus unimodal conditions across 66 gyri.
Results: The cortical sources were activated in the theta, beta, and gamma bands in cross modal versus unimodal conditions, which we propose, reflect neural communication for AV interaction network. The cortical sources constituted areas involved with visual processing, auditory processing, established multisensory (frontotemporal cortex, parietal cortex, middle temporal gyrus, superior frontal gyrus, inferior frontal gyrus, precentral gyrus) and potential multisensory areas (paracentral, postcentral and subcallosal).
Conclusion: Together, these results offer an integrative view of cortical areas in frequency oscillations during AV interactions.