Suppr超能文献

脑电图功率谱与皮质下病变在慢性意识障碍中的表现。

EEG Power spectra and subcortical pathology in chronic disorders of consciousness.

机构信息

Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA.

Brain Injury Research Center (BIRC), Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

出版信息

Psychol Med. 2022 Jun;52(8):1491-1500. doi: 10.1017/S003329172000330X. Epub 2020 Sep 23.

Abstract

BACKGROUND

Despite a growing understanding of disorders of consciousness following severe brain injury, the association between long-term impairment of consciousness, spontaneous brain oscillations, and underlying subcortical damage, and the ability of such information to aid patient diagnosis, remains incomplete.

METHODS

Cross-sectional observational sample of 116 patients with a disorder of consciousness secondary to brain injury, collected prospectively at a tertiary center between 2011 and 2013. Multimodal analyses relating clinical measures of impairment, electroencephalographic measures of spontaneous brain activity, and magnetic resonance imaging data of subcortical atrophy were conducted in 2018.

RESULTS

In the final analyzed sample of 61 patients, systematic associations were found between electroencephalographic power spectra and subcortical damage. Specifically, the ratio of beta-to-delta relative power was negatively associated with greater atrophy in regions of the bilateral thalamus and globus pallidus (both left right) previously shown to be preferentially atrophied in chronic disorders of consciousness. Power spectrum total density was also negatively associated with widespread atrophy in regions of the left globus pallidus, right caudate, and in the brainstem. Furthermore, we showed that the combination of demographics, encephalographic, and imaging data in an analytic framework can be employed to aid behavioral diagnosis.

CONCLUSIONS

These results ground, for the first time, electroencephalographic presentation detected with routine clinical techniques in the underlying brain pathology of disorders of consciousness and demonstrate how multimodal combination of clinical, electroencephalographic, and imaging data can be employed in potentially mitigating the high rates of misdiagnosis typical of this patient cohort.

摘要

背景

尽管人们对严重脑损伤后意识障碍的了解不断增加,但意识长期受损、自发性脑振荡以及潜在的皮质下损伤之间的关联,以及这些信息对辅助患者诊断的能力,仍然不完整。

方法

这是一项在 2011 年至 2013 年期间在一个三级中心前瞻性收集的 116 例脑损伤后意识障碍患者的横断面观察性样本。在 2018 年进行了与临床损伤测量、自发性脑活动脑电图测量和皮质下萎缩磁共振成像数据相关的多模态分析。

结果

在最终分析的 61 例患者样本中,脑电图功率谱与皮质下损伤之间存在系统关联。具体而言,β与δ相对功率的比值与双侧丘脑和苍白球(左右两侧)的萎缩程度呈负相关,这些区域先前在慢性意识障碍中被证明优先萎缩。总功率谱密度也与左侧苍白球、右侧尾状核和脑干的广泛萎缩呈负相关。此外,我们还表明,在分析框架中结合人口统计学、脑电图和影像学数据可以辅助行为诊断。

结论

这些结果首次将常规临床技术检测到的脑电图表现与意识障碍的潜在脑病理学联系起来,并展示了如何结合临床、脑电图和影像学数据的多模态组合,可以在减轻这一患者群体中典型的高误诊率方面发挥作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验