功能中枢中断强调严重脑外伤患者的意识恢复

Lydia Oujamaa, C. Delon-Martin, Chloé Jaroszynski, Maite Termenon, Stein Silva, Jean-François Payen, S. Achard
{"title":"功能中枢中断强调严重脑外伤患者的意识恢复","authors":"Lydia Oujamaa, C. Delon-Martin, Chloé Jaroszynski, Maite Termenon, Stein Silva, Jean-François Payen, S. Achard","doi":"10.1093/braincomms/fcad319","DOIUrl":null,"url":null,"abstract":"Severe traumatic brain injury can lead to transient or even chronic disorder of consciousness. To increase diagnosis and prognosis accuracy of disorder of consciousness, functional neuroimaging is recommended one month post injury. Here, we investigated brain networks remodelling on longitudinal data between one- and three-months post severe traumatic brain injury related to change of consciousness. Thirty-four severe traumatic brain injured patients were included in a cross sectional and longitudinal clinical study and their MRI data were compared to those of twenty healthy subjects. Long duration resting-state functional MRI were acquired in minimally conscious and conscious patients at two time points after their brain injury. The first time corresponds to the exit from Intensive Care Unit and the second one to the discharge from post intensive care rehabilitation ward. Brain networks data were extracted using graph analysis and metrics at each node quantifying local (Clustering) and global (Degree) connectivity characteristics. Comparison with brain networks of healthy subjects revealed patterns of hyper- and hypo- connectivity that characterize brain networks reorganization through the hub disruption index, a value quantifying the functional disruption in each individual severe traumatic brain injury graph. At discharge from intensive care unit, twenty-four patients’ graphs (nine minimally conscious and fifteen conscious) were fully analysed and demonstrated significant network disruption. Clustering and Degree nodal metrics, respectively related to segregation and integration properties of the network, were relevant to distinguish minimally conscious and conscious groups. At discharge from post intensive care rehabilitation unit, fifteen patients’ graphs (two minimally conscious, thirteen conscious) were fully analysed. The conscious-group still presented a significant difference with healthy subjects. Using mixed effects models, we showed that consciousness state, rather than time, explained the Hub disruption index differences between minimally conscious and conscious-groups. While severe traumatic brain injured patients recovered full consciousness, regional functional connectivity evolved towards a healthy pattern. More specifically the restoration of a healthy brain functional segregation could be necessary for consciousness recovery after severe traumatic brain injury. For the first time, extracting the Hub disruption index directly from each patient’s graph, we were able to track the clinical alteration and subsequent recovery of consciousness during the first three months following a severe traumatic brain injury.","PeriodicalId":9318,"journal":{"name":"Brain Communications","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury\",\"authors\":\"Lydia Oujamaa, C. Delon-Martin, Chloé Jaroszynski, Maite Termenon, Stein Silva, Jean-François Payen, S. Achard\",\"doi\":\"10.1093/braincomms/fcad319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Severe traumatic brain injury can lead to transient or even chronic disorder of consciousness. To increase diagnosis and prognosis accuracy of disorder of consciousness, functional neuroimaging is recommended one month post injury. Here, we investigated brain networks remodelling on longitudinal data between one- and three-months post severe traumatic brain injury related to change of consciousness. Thirty-four severe traumatic brain injured patients were included in a cross sectional and longitudinal clinical study and their MRI data were compared to those of twenty healthy subjects. Long duration resting-state functional MRI were acquired in minimally conscious and conscious patients at two time points after their brain injury. The first time corresponds to the exit from Intensive Care Unit and the second one to the discharge from post intensive care rehabilitation ward. Brain networks data were extracted using graph analysis and metrics at each node quantifying local (Clustering) and global (Degree) connectivity characteristics. Comparison with brain networks of healthy subjects revealed patterns of hyper- and hypo- connectivity that characterize brain networks reorganization through the hub disruption index, a value quantifying the functional disruption in each individual severe traumatic brain injury graph. At discharge from intensive care unit, twenty-four patients’ graphs (nine minimally conscious and fifteen conscious) were fully analysed and demonstrated significant network disruption. Clustering and Degree nodal metrics, respectively related to segregation and integration properties of the network, were relevant to distinguish minimally conscious and conscious groups. At discharge from post intensive care rehabilitation unit, fifteen patients’ graphs (two minimally conscious, thirteen conscious) were fully analysed. The conscious-group still presented a significant difference with healthy subjects. Using mixed effects models, we showed that consciousness state, rather than time, explained the Hub disruption index differences between minimally conscious and conscious-groups. While severe traumatic brain injured patients recovered full consciousness, regional functional connectivity evolved towards a healthy pattern. More specifically the restoration of a healthy brain functional segregation could be necessary for consciousness recovery after severe traumatic brain injury. For the first time, extracting the Hub disruption index directly from each patient’s graph, we were able to track the clinical alteration and subsequent recovery of consciousness during the first three months following a severe traumatic brain injury.\",\"PeriodicalId\":9318,\"journal\":{\"name\":\"Brain Communications\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/braincomms/fcad319\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/braincomms/fcad319","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

严重的脑外伤可导致短暂甚至慢性的意识障碍。为了提高意识障碍的诊断和预后准确性,建议在受伤后一个月进行功能神经成像。在此,我们研究了严重创伤性脑损伤后一个月至三个月期间与意识改变相关的脑网络重塑纵向数据。一项横断面和纵向临床研究纳入了 34 名严重脑外伤患者,并将他们的磁共振成像数据与 20 名健康受试者的数据进行了比较。研究人员在脑损伤后的两个时间点采集了微清醒和清醒患者的长时间静息状态功能磁共振成像。第一个时间点是重症监护室出院时,第二个时间点是重症监护后康复病房出院时。使用图分析和每个节点的量化局部(聚类)和全局(度数)连接特征的指标提取脑网络数据。通过与健康受试者的大脑网络进行比较,发现了连接性过高和过低的模式,这些模式通过中枢中断指数来描述大脑网络重组的特征,中枢中断指数是量化每个严重创伤性脑损伤图中功能中断的数值。在重症监护室出院时,对 24 名患者(9 名意识不清,15 名意识清醒)的图谱进行了全面分析,结果表明这些图谱存在明显的网络中断。聚类指标和度节点指标分别与网络的隔离和整合特性有关,可用于区分意识微弱组和意识清醒组。从重症监护后康复病房出院时,对 15 名患者(2 名微弱清醒,13 名清醒)的图形进行了全面分析。有意识组与健康组仍有显著差异。通过混合效应模型,我们发现意识状态而非时间可以解释微清醒组和清醒组之间的中枢干扰指数差异。 在严重脑外伤患者完全恢复意识的同时,区域功能连接向健康模式发展。更具体地说,恢复健康的大脑功能分隔可能是严重脑外伤后意识恢复的必要条件。 通过直接从每位患者的图表中提取 Hub 干扰指数,我们首次追踪了严重脑外伤后头三个月的临床改变和随后的意识恢复情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury
Severe traumatic brain injury can lead to transient or even chronic disorder of consciousness. To increase diagnosis and prognosis accuracy of disorder of consciousness, functional neuroimaging is recommended one month post injury. Here, we investigated brain networks remodelling on longitudinal data between one- and three-months post severe traumatic brain injury related to change of consciousness. Thirty-four severe traumatic brain injured patients were included in a cross sectional and longitudinal clinical study and their MRI data were compared to those of twenty healthy subjects. Long duration resting-state functional MRI were acquired in minimally conscious and conscious patients at two time points after their brain injury. The first time corresponds to the exit from Intensive Care Unit and the second one to the discharge from post intensive care rehabilitation ward. Brain networks data were extracted using graph analysis and metrics at each node quantifying local (Clustering) and global (Degree) connectivity characteristics. Comparison with brain networks of healthy subjects revealed patterns of hyper- and hypo- connectivity that characterize brain networks reorganization through the hub disruption index, a value quantifying the functional disruption in each individual severe traumatic brain injury graph. At discharge from intensive care unit, twenty-four patients’ graphs (nine minimally conscious and fifteen conscious) were fully analysed and demonstrated significant network disruption. Clustering and Degree nodal metrics, respectively related to segregation and integration properties of the network, were relevant to distinguish minimally conscious and conscious groups. At discharge from post intensive care rehabilitation unit, fifteen patients’ graphs (two minimally conscious, thirteen conscious) were fully analysed. The conscious-group still presented a significant difference with healthy subjects. Using mixed effects models, we showed that consciousness state, rather than time, explained the Hub disruption index differences between minimally conscious and conscious-groups. While severe traumatic brain injured patients recovered full consciousness, regional functional connectivity evolved towards a healthy pattern. More specifically the restoration of a healthy brain functional segregation could be necessary for consciousness recovery after severe traumatic brain injury. For the first time, extracting the Hub disruption index directly from each patient’s graph, we were able to track the clinical alteration and subsequent recovery of consciousness during the first three months following a severe traumatic brain injury.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信