Mikyung Choe, Yunhee Choi, Jii Kwon, Hee-Pyoung Park, Seung-Hyun Jin, June Sic Kim, Seokhyun Lee, Chun Kee Chung
{"title":"异丙酚诱导的无意识中增加的全球和区域连通性:人类颅内脑电图研究。","authors":"Mikyung Choe, Yunhee Choi, Jii Kwon, Hee-Pyoung Park, Seung-Hyun Jin, June Sic Kim, Seokhyun Lee, Chun Kee Chung","doi":"10.1097/ALN.0000000000005479","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity changes in unconscious state have been inconsistent. These inconsistencies could arise from unclear definition of unconsciousness, spatial and temporal limitations of neuroimaging modalities, and estimating only single connectivity measure. Here, we investigated global and regional changes in amplitude and phase based functional connectivity in propofol-induced unconsciousness, which is widely recognized as unconsciousness.</p><p><strong>Methods: </strong>We calculated amplitude and phase based functional connectivity using amplitude envelope correlation (AEC), weighted phase lag index (wPLI), and magnitude squared coherence (MSC) from intracranial electroencephalography data of 73 patients. Global changes in connectivity, complexity, and network efficiency were estimated. Regional connectivity changes between Brodmann areas, between 7 cortical lobes, and between resting state networks were assessed across all frequency bands. Additionally, we employed machine learning analysis to identify specific regions in classifying conscious and unconscious states.</p><p><strong>Results: </strong>In the unconscious state, global connectivity increased across all frequency bands, while global complexity and efficiency decreased, accompanied by increased delta and decreased high gamma power spectral density. Regional connectivity increased between entire cortical regions across all frequency bands. Machine learning analysis revealed that posterior connectivity was the most influential in classifying consciousness. Amplitude-based connectivity predominantly increased in the delta and theta bands, while phase-based connectivity predominantly increased from the beta to high gamma bands.</p><p><strong>Conclusions: </strong>Propofol anesthesia suppresses cortical activity and induces oscillatory changes characterized by increased delta power and decreased high gamma power. These changes are accompanied by increased functional connectivity and reduced network complexity and efficiency. These changes limit the brain's ability to generate a diverse repertoire of activity, ultimately leading to unconsciousness. Posterior connectivity, which showed high accuracy in predicting conscious states, would be crucial for sustaining consciousness.</p>","PeriodicalId":7970,"journal":{"name":"Anesthesiology","volume":" ","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Increased global and regional connectivity in propofol-induced unconsciousness: human intracranial electroencephalography study.\",\"authors\":\"Mikyung Choe, Yunhee Choi, Jii Kwon, Hee-Pyoung Park, Seung-Hyun Jin, June Sic Kim, Seokhyun Lee, Chun Kee Chung\",\"doi\":\"10.1097/ALN.0000000000005479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity changes in unconscious state have been inconsistent. These inconsistencies could arise from unclear definition of unconsciousness, spatial and temporal limitations of neuroimaging modalities, and estimating only single connectivity measure. Here, we investigated global and regional changes in amplitude and phase based functional connectivity in propofol-induced unconsciousness, which is widely recognized as unconsciousness.</p><p><strong>Methods: </strong>We calculated amplitude and phase based functional connectivity using amplitude envelope correlation (AEC), weighted phase lag index (wPLI), and magnitude squared coherence (MSC) from intracranial electroencephalography data of 73 patients. Global changes in connectivity, complexity, and network efficiency were estimated. Regional connectivity changes between Brodmann areas, between 7 cortical lobes, and between resting state networks were assessed across all frequency bands. Additionally, we employed machine learning analysis to identify specific regions in classifying conscious and unconscious states.</p><p><strong>Results: </strong>In the unconscious state, global connectivity increased across all frequency bands, while global complexity and efficiency decreased, accompanied by increased delta and decreased high gamma power spectral density. Regional connectivity increased between entire cortical regions across all frequency bands. Machine learning analysis revealed that posterior connectivity was the most influential in classifying consciousness. Amplitude-based connectivity predominantly increased in the delta and theta bands, while phase-based connectivity predominantly increased from the beta to high gamma bands.</p><p><strong>Conclusions: </strong>Propofol anesthesia suppresses cortical activity and induces oscillatory changes characterized by increased delta power and decreased high gamma power. These changes are accompanied by increased functional connectivity and reduced network complexity and efficiency. These changes limit the brain's ability to generate a diverse repertoire of activity, ultimately leading to unconsciousness. Posterior connectivity, which showed high accuracy in predicting conscious states, would be crucial for sustaining consciousness.</p>\",\"PeriodicalId\":7970,\"journal\":{\"name\":\"Anesthesiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anesthesiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/ALN.0000000000005479\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANESTHESIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anesthesiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/ALN.0000000000005479","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
Increased global and regional connectivity in propofol-induced unconsciousness: human intracranial electroencephalography study.
Background: The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity changes in unconscious state have been inconsistent. These inconsistencies could arise from unclear definition of unconsciousness, spatial and temporal limitations of neuroimaging modalities, and estimating only single connectivity measure. Here, we investigated global and regional changes in amplitude and phase based functional connectivity in propofol-induced unconsciousness, which is widely recognized as unconsciousness.
Methods: We calculated amplitude and phase based functional connectivity using amplitude envelope correlation (AEC), weighted phase lag index (wPLI), and magnitude squared coherence (MSC) from intracranial electroencephalography data of 73 patients. Global changes in connectivity, complexity, and network efficiency were estimated. Regional connectivity changes between Brodmann areas, between 7 cortical lobes, and between resting state networks were assessed across all frequency bands. Additionally, we employed machine learning analysis to identify specific regions in classifying conscious and unconscious states.
Results: In the unconscious state, global connectivity increased across all frequency bands, while global complexity and efficiency decreased, accompanied by increased delta and decreased high gamma power spectral density. Regional connectivity increased between entire cortical regions across all frequency bands. Machine learning analysis revealed that posterior connectivity was the most influential in classifying consciousness. Amplitude-based connectivity predominantly increased in the delta and theta bands, while phase-based connectivity predominantly increased from the beta to high gamma bands.
Conclusions: Propofol anesthesia suppresses cortical activity and induces oscillatory changes characterized by increased delta power and decreased high gamma power. These changes are accompanied by increased functional connectivity and reduced network complexity and efficiency. These changes limit the brain's ability to generate a diverse repertoire of activity, ultimately leading to unconsciousness. Posterior connectivity, which showed high accuracy in predicting conscious states, would be crucial for sustaining consciousness.
期刊介绍:
With its establishment in 1940, Anesthesiology has emerged as a prominent leader in the field of anesthesiology, encompassing perioperative, critical care, and pain medicine. As the esteemed journal of the American Society of Anesthesiologists, Anesthesiology operates independently with full editorial freedom. Its distinguished Editorial Board, comprising renowned professionals from across the globe, drives the advancement of the specialty by presenting innovative research through immediate open access to select articles and granting free access to all published articles after a six-month period. Furthermore, Anesthesiology actively promotes groundbreaking studies through an influential press release program. The journal's unwavering commitment lies in the dissemination of exemplary work that enhances clinical practice and revolutionizes the practice of medicine within our discipline.