Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, NY 10065, USA.
Feil Family Brain and Mind Research Institute, Department of Neurology, Weill Cornell Medical College, New York, NY 10065, USA.
Curr Biol. 2018 Dec 3;28(23):3833-3839.e3. doi: 10.1016/j.cub.2018.10.057. Epub 2018 Nov 21.
Recent studies identify severely brain-injured patients with limited or no behavioral responses who successfully perform functional magnetic resonance imaging (fMRI) or electroencephalogram (EEG) mental imagery tasks [1-5]. Such tasks are cognitively demanding [1]; accordingly, recent studies support that fMRI command following in brain-injured patients associates with preserved cerebral metabolism and preserved sleep-wake EEG [5, 6]. We investigated the use of an EEG response that tracks the natural speech envelope (NSE) of spoken language [7-22] in healthy controls and brain-injured patients (vegetative state to emergence from minimally conscious state). As audition is typically preserved after brain injury, auditory paradigms may be preferred in searching for covert cognitive function [23-25]. NSE measures are obtained by cross-correlating EEG with the NSE. We compared NSE latencies and amplitudes with and without consideration of fMRI assessments. NSE latencies showed significant and progressive delay across diagnostic categories. Patients who could carry out fMRI-based mental imagery tasks showed no statistically significant difference in NSE latencies relative to healthy controls; this subgroup included patients without behavioral command following. The NSE may stratify patients with severe brain injuries and identify those patients demonstrating "cognitive motor dissociation" (CMD) [26] who show only covert evidence of command following utilizing neuroimaging or electrophysiological methods that demand high levels of cognitive function. Thus, the NSE is a passive measure that may provide a useful screening tool to improve detection of covert cognition with fMRI or other methods and improve stratification of patients with disorders of consciousness in research studies.
最近的研究发现,一些严重脑损伤的患者行为反应有限或没有,但他们成功地进行了功能性磁共振成像(fMRI)或脑电图(EEG)心理意象任务[1-5]。这些任务认知要求高[1];因此,最近的研究支持脑损伤患者的 fMRI 指令跟随与大脑代谢和睡眠-觉醒 EEG 的保存有关[5,6]。我们调查了使用跟踪口语自然语音包(NSE)的 EEG 反应[7-22]在健康对照和脑损伤患者(植物状态到最小意识状态出现)中的应用。由于听觉通常在脑损伤后保留,因此在寻找隐蔽认知功能时,听觉范式可能更受欢迎[23-25]。NSE 测量值是通过将 EEG 与 NSE 进行互相关获得的。我们比较了考虑和不考虑 fMRI 评估的 NSE 潜伏期和振幅。NSE 潜伏期在诊断类别中呈显著且逐渐延迟。可以进行 fMRI 基于心理意象任务的患者,其 NSE 潜伏期与健康对照组相比没有统计学上的显著差异;这个亚组包括没有行为指令跟随的患者。NSE 可能对严重脑损伤患者进行分层,并识别出那些表现出“认知运动分离”(CMD)[26]的患者,他们仅利用需要高水平认知功能的神经影像学或电生理方法显示出隐蔽的指令跟随证据。因此,NSE 是一种被动测量方法,可能为使用 fMRI 或其他方法提高隐蔽认知检测提供有用的筛选工具,并改善意识障碍患者在研究中的分层。