{"title":"广角成像显示麻醉引起的无意识过程中明显的全皮质动力学。","authors":"Muchao Xia,Chengyu Wang,Ling Jiang,Kai Wang,Changhong Miao,Chao Liang","doi":"10.1213/ane.0000000000007649","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nAnesthesia-induced loss of consciousness (LOC) is associated with alterations in cortical synchronization and desynchronization in various cortical regions. However, the precise spatiotemporal dynamics across the entire cortex and their role in the LOC remain unclear. This study utilized advanced imaging techniques to investigate these cortical dynamics under the action of different anesthetics.\r\n\r\nMETHODS\r\nWe used Thy1-GCaMP6s mice with surgically prepared transparent skulls to observe cortical Ca2+ signals using widefield microscopy. Functional connectivity analysis was performed, and the primary spatial representations of the different frequency signal components were examined under anesthesia induced by ketamine, propofol, and isoflurane.\r\n\r\nRESULTS\r\nAll drugs enhanced 1.5 to 2.5 Hz signal oscillations in the retrosplenial cortex (RSC), making the 1.5 to 2.5 Hz signal oscillation power in the retrosplenial cortex significantly higher than that in other cortical regions (ketamine (mean ± SD: 1. 58 ± 0.06 vs 0. 27 ± 0.10, -0. 44 ± 0.02 and -0. 36 ± 0.06 for the retrosplenial cortex (RSC) vs the primary motor cortex (MOp), the primary somatosensory cortex (SSp) and the primary visual cortex (VISp), P< .001; propofol: 1. 36 ± 0.06 vs 0. 50 ± 0.09, -0. 34 ± 0.04 and -0. 20 ± 0.11 isoflurane: 1. 39 ± 0.12 vs 0. 30 ± 0.07, -0. 14 ± 0.19 and -0. 20 ± 0.14). Moreover, ketamine and isoflurane was associated with a structured signaling pattern.\r\n\r\nCONCLUSIONS\r\nThe general anesthetics induced unique cortical signal patterns, with the RSC emerging as a key region in which specific oscillatory patterns manifested. The observed 1.5 to 2.5 Hz oscillations in the RSC under different anesthetic conditions suggest a common underlying mechanism for anesthesia-induced LOC. Understanding these spatiotemporal patterns can help improve the monitoring and management of anesthesia.","PeriodicalId":7799,"journal":{"name":"Anesthesia & Analgesia","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Widefield Imaging Reveals Distinct Whole-Cortex Dynamics During Anesthetic-Induced Unconsciousness.\",\"authors\":\"Muchao Xia,Chengyu Wang,Ling Jiang,Kai Wang,Changhong Miao,Chao Liang\",\"doi\":\"10.1213/ane.0000000000007649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nAnesthesia-induced loss of consciousness (LOC) is associated with alterations in cortical synchronization and desynchronization in various cortical regions. However, the precise spatiotemporal dynamics across the entire cortex and their role in the LOC remain unclear. This study utilized advanced imaging techniques to investigate these cortical dynamics under the action of different anesthetics.\\r\\n\\r\\nMETHODS\\r\\nWe used Thy1-GCaMP6s mice with surgically prepared transparent skulls to observe cortical Ca2+ signals using widefield microscopy. Functional connectivity analysis was performed, and the primary spatial representations of the different frequency signal components were examined under anesthesia induced by ketamine, propofol, and isoflurane.\\r\\n\\r\\nRESULTS\\r\\nAll drugs enhanced 1.5 to 2.5 Hz signal oscillations in the retrosplenial cortex (RSC), making the 1.5 to 2.5 Hz signal oscillation power in the retrosplenial cortex significantly higher than that in other cortical regions (ketamine (mean ± SD: 1. 58 ± 0.06 vs 0. 27 ± 0.10, -0. 44 ± 0.02 and -0. 36 ± 0.06 for the retrosplenial cortex (RSC) vs the primary motor cortex (MOp), the primary somatosensory cortex (SSp) and the primary visual cortex (VISp), P< .001; propofol: 1. 36 ± 0.06 vs 0. 50 ± 0.09, -0. 34 ± 0.04 and -0. 20 ± 0.11 isoflurane: 1. 39 ± 0.12 vs 0. 30 ± 0.07, -0. 14 ± 0.19 and -0. 20 ± 0.14). Moreover, ketamine and isoflurane was associated with a structured signaling pattern.\\r\\n\\r\\nCONCLUSIONS\\r\\nThe general anesthetics induced unique cortical signal patterns, with the RSC emerging as a key region in which specific oscillatory patterns manifested. The observed 1.5 to 2.5 Hz oscillations in the RSC under different anesthetic conditions suggest a common underlying mechanism for anesthesia-induced LOC. Understanding these spatiotemporal patterns can help improve the monitoring and management of anesthesia.\",\"PeriodicalId\":7799,\"journal\":{\"name\":\"Anesthesia & Analgesia\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anesthesia & Analgesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1213/ane.0000000000007649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anesthesia & Analgesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1213/ane.0000000000007649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:感觉诱发的意识丧失(LOC)与皮层各区域同步和非同步的改变有关。然而,整个皮层的精确时空动态及其在LOC中的作用仍不清楚。本研究利用先进的成像技术来研究不同麻醉剂作用下的皮质动力学。方法采用手术制备透明颅骨的Thy1-GCaMP6s小鼠,用广角显微镜观察皮质Ca2+信号。在氯胺酮、异丙酚和异氟醚麻醉下,进行功能连通性分析,并检测不同频率信号成分的主要空间表征。结果所有药物均能增强脾后皮层(RSC) 1.5 ~ 2.5 Hz的信号振荡,使脾后皮层1.5 ~ 2.5 Hz的信号振荡功率显著高于其他皮质区域(氯胺酮)(平均±SD: 1。58±0.06 vs 0。27±0.10,-0。44±0.02和-0。脾后皮质(RSC)与初级运动皮质(MOp)、初级体感皮质(SSp)和初级视觉皮质(VISp)的差异为36±0.06,P< 0.001;异丙酚:1。36±0.06 vs 0。50±0.09,-0。34±0.04和-0。20±0.11异氟烷:1。39±0.12 vs 0。30±0.07,-0。14±0.19和-0。20±0.14)。此外,氯胺酮和异氟烷与一个结构化的信号模式有关。结论全身麻醉诱导了独特的皮层信号模式,其中RSC是表现出特定振荡模式的关键区域。在不同麻醉条件下,RSC中观察到的1.5 ~ 2.5 Hz振荡提示了麻醉诱导LOC的共同潜在机制。了解这些时空模式有助于改善麻醉的监测和管理。
Widefield Imaging Reveals Distinct Whole-Cortex Dynamics During Anesthetic-Induced Unconsciousness.
BACKGROUND
Anesthesia-induced loss of consciousness (LOC) is associated with alterations in cortical synchronization and desynchronization in various cortical regions. However, the precise spatiotemporal dynamics across the entire cortex and their role in the LOC remain unclear. This study utilized advanced imaging techniques to investigate these cortical dynamics under the action of different anesthetics.
METHODS
We used Thy1-GCaMP6s mice with surgically prepared transparent skulls to observe cortical Ca2+ signals using widefield microscopy. Functional connectivity analysis was performed, and the primary spatial representations of the different frequency signal components were examined under anesthesia induced by ketamine, propofol, and isoflurane.
RESULTS
All drugs enhanced 1.5 to 2.5 Hz signal oscillations in the retrosplenial cortex (RSC), making the 1.5 to 2.5 Hz signal oscillation power in the retrosplenial cortex significantly higher than that in other cortical regions (ketamine (mean ± SD: 1. 58 ± 0.06 vs 0. 27 ± 0.10, -0. 44 ± 0.02 and -0. 36 ± 0.06 for the retrosplenial cortex (RSC) vs the primary motor cortex (MOp), the primary somatosensory cortex (SSp) and the primary visual cortex (VISp), P< .001; propofol: 1. 36 ± 0.06 vs 0. 50 ± 0.09, -0. 34 ± 0.04 and -0. 20 ± 0.11 isoflurane: 1. 39 ± 0.12 vs 0. 30 ± 0.07, -0. 14 ± 0.19 and -0. 20 ± 0.14). Moreover, ketamine and isoflurane was associated with a structured signaling pattern.
CONCLUSIONS
The general anesthetics induced unique cortical signal patterns, with the RSC emerging as a key region in which specific oscillatory patterns manifested. The observed 1.5 to 2.5 Hz oscillations in the RSC under different anesthetic conditions suggest a common underlying mechanism for anesthesia-induced LOC. Understanding these spatiotemporal patterns can help improve the monitoring and management of anesthesia.