The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states.

Supplements to Clinical neurophysiology Pub Date : 2013-01-01 DOI:10.1016/b978-0-7020-5307-8.00005-3

Alexander A Fingelkurts, Andrew A Fingelkurts, Sergio Bagnato, Cristina Boccagni, Giuseppe Galardi

{"title":"The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states.","authors":"Alexander A Fingelkurts, Andrew A Fingelkurts, Sergio Bagnato, Cristina Boccagni, Giuseppe Galardi","doi":"10.1016/b978-0-7020-5307-8.00005-3","DOIUrl":null,"url":null,"abstract":"Objective: The value of spontaneous electroencephalography (EEG) oscillations in distinguishing patients in vegetative state (VS) and minimally conscious states (MCS) was studied.Methods: We quantified dynamic repertoire of EEG oscillations in resting condition with closed eyes in patients in VS and MCS. The exact composition of EEG oscillations was assessed by the probability-classification analysis of short-term EEG spectral patterns.Results: The probability of delta, theta, and slow-alpha oscillations occurrence was smaller for patients in MCS than for VS. Additionally, only patients in MCS demonstrated fast-alpha oscillation occurrence. Depending on the type and composition of EEG oscillations, the probability of their occurrence was either etiology dependent or independent. The probability of EEG oscillations occurrence differentiated brain injuries with different etiologies.Conclusions: Spontaneous EEG oscillations have a potential value in distinguishing patients in VS and MCS.Significance: This work may have implications for clinical care, rehabilitative programs, and medical-legal decisions in patients with impaired consciousness states following coma due to acute brain injuries.Highlights: The probability of delta, theta, and slow-alpha oscillations occurrence was smaller and the probability of fast-alpha oscillations occurrence was higher for patients in MCS than for patients in VS. The probability of EEG oscillations occurrence differentiated brain injuries with different etiologies. Spontaneous EEG has a potential value in distinguishing patients in VS and MCS.","PeriodicalId":85606,"journal":{"name":"Supplements to Clinical neurophysiology","volume":"62 ","pages":"81-99"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/b978-0-7020-5307-8.00005-3","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supplements to Clinical neurophysiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/b978-0-7020-5307-8.00005-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 36

Abstract

Objective: The value of spontaneous electroencephalography (EEG) oscillations in distinguishing patients in vegetative state (VS) and minimally conscious states (MCS) was studied.

Methods: We quantified dynamic repertoire of EEG oscillations in resting condition with closed eyes in patients in VS and MCS. The exact composition of EEG oscillations was assessed by the probability-classification analysis of short-term EEG spectral patterns.

Results: The probability of delta, theta, and slow-alpha oscillations occurrence was smaller for patients in MCS than for VS. Additionally, only patients in MCS demonstrated fast-alpha oscillation occurrence. Depending on the type and composition of EEG oscillations, the probability of their occurrence was either etiology dependent or independent. The probability of EEG oscillations occurrence differentiated brain injuries with different etiologies.

Conclusions: Spontaneous EEG oscillations have a potential value in distinguishing patients in VS and MCS.

Significance: This work may have implications for clinical care, rehabilitative programs, and medical-legal decisions in patients with impaired consciousness states following coma due to acute brain injuries.

Highlights: The probability of delta, theta, and slow-alpha oscillations occurrence was smaller and the probability of fast-alpha oscillations occurrence was higher for patients in MCS than for patients in VS. The probability of EEG oscillations occurrence differentiated brain injuries with different etiologies. Spontaneous EEG has a potential value in distinguishing patients in VS and MCS.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

自发性脑电图振荡在区分植物人与最低意识状态中的价值。

目的:探讨自发性脑电图(EEG)振荡在区分植物人状态(VS)和最低意识状态(MCS)中的价值。方法:定量分析VS和MCS患者闭眼静息状态下脑电图振荡动态库。通过短时脑电图谱图的概率分类分析，评估了脑电图振荡的确切组成。结果:与vs相比，MCS患者出现δ、θ和慢α振荡的概率更小。此外，只有MCS患者出现快速α振荡。根据脑电图振荡的类型和组成，其发生的概率要么依赖于病因，要么独立于病因。脑电图振荡发生的概率可区分不同病因的脑损伤。结论:自发性脑电图振荡对鉴别VS和MCS具有潜在价值。意义:这项工作可能对急性脑损伤昏迷后意识状态受损患者的临床护理、康复计划和医疗法律决策有指导意义。重点:与vs相比，MCS患者出现delta、theta和慢α振荡的概率更小，而出现快α振荡的概率更高。不同病因的脑损伤的脑电图振荡发生概率不同。自发性脑电图在区分VS和MCS患者方面具有潜在价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Supplements to Clinical neurophysiology

自引率

0.00%

发文量