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无任务事件相关范式在评估意识障碍患者神经认知功能方面的应用潜力。

Applied potential of task-free event-related paradigms for assessing neurocognitive functions in disorders of consciousness.

作者信息

Møller Marie Louise Holm, Højlund Andreas, Jensen Mads, Gansonre Christelle, Shtyrov Yury

机构信息

Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

出版信息

Brain Commun. 2020 Jun 30;2(2):fcaa087. doi: 10.1093/braincomms/fcaa087. eCollection 2020.

Abstract

Diagnosing patients with disorders of consciousness is immensely difficult and often results in misdiagnoses, which can have fatal consequences. Despite the severity of this well-known issue, a reliable assessment tool has not yet been developed and implemented in the clinic. The main aim of this focused review is to evaluate the various event-related potential paradigms, recorded using EEG, which may be used to improve the assessment of patients with disorders of consciousness; we also provide a brief comparison of these paradigms with other measures. Notably, most event-related potential studies on the topic have focused on testing a small set of components, or even just a single component. However, to be of practical use, we argue that an assessment should probe a range of cognitive and linguistic functions at once. We suggest a novel approach that combines a set of well-tested auditory event-related potential components: N100, mismatch negativity, P3a, N400, early left anterior negativity and lexical response enhancement. Combining these components in a single, task-free design will provide a multidimensional assessment of cognitive and linguistic processes, which may help physicians make a more precise diagnosis.

摘要

诊断意识障碍患者极具难度,且常常导致误诊,这可能会带来致命后果。尽管这个众所周知的问题很严重,但临床上尚未开发并应用可靠的评估工具。本聚焦综述的主要目的是评估通过脑电图(EEG)记录的各种事件相关电位范式,这些范式可能用于改善对意识障碍患者的评估;我们还简要比较了这些范式与其他测量方法。值得注意的是,关于该主题的大多数事件相关电位研究都集中在测试一小部分成分,甚至只是单个成分。然而,为了具有实际用途,我们认为评估应该同时探究一系列认知和语言功能。我们提出一种新颖的方法,该方法结合了一组经过充分测试的听觉事件相关电位成分:N100、失配负波、P3a、N400、早期左前负波和词汇反应增强。在单一的无任务设计中结合这些成分将提供对认知和语言过程的多维评估,这可能有助于医生做出更精确的诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dba7/7585695/9d0cc83a8715/fcaa087f2.jpg

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