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脑电图词汇效应可预测意识障碍患者的临床预后。

EEG lexicality effect predicts clinical outcome in disorders of consciousness.

机构信息

Paris Brain Institute (ICM), Sorbonne University, Paris, France.

Department of Neurophysiology, University Hospital group APHP-Sorbonne University, Pitié-Salpêtrière site, Paris, France.

出版信息

Ann Neurol. 2023 Apr;93(4):762-767. doi: 10.1002/ana.26614. Epub 2023 Feb 24.

Abstract

This study aimed at probing covert language processing in patients with disorders of consciousness. An auditory paradigm contrasting words to pronounceable pseudowords was designed, while recording bedside electroencephalogram and computing the two main correlates of lexicality: N400 and late positive component (LPC). Healthy volunteers and 19 patients, 10 in a minimally conscious state and 9 in a vegetative state (also coined unresponsive wakefulness syndrome), were recorded. N400 was present in all groups, whereas LPC was only present in the healthy volunteers and minimally conscious state groups. At the individual level, an unprecedented detection rate of N400 and LPC was reached, and LPC predicted overt cognitive improvement at 6 months. ANN NEUROL 2023;93:762-767.

摘要

本研究旨在探究意识障碍患者的隐性语言处理。设计了一个对比单词和可发音的假词的听觉范式,同时记录床边脑电图并计算词汇的两个主要相关物:N400 和晚期正成分 (LPC)。记录了 19 名健康志愿者和患者,其中 10 名处于最小意识状态,9 名处于植物状态(也称为无反应性觉醒综合征)。所有组均存在 N400,而仅在健康志愿者和最小意识状态组中存在 LPC。在个体水平上,达到了前所未有的 N400 和 LPC 检测率,并且 LPC 预测了 6 个月时的明显认知改善。ANN NEUROL 2023;93:762-767.

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