Ghosh Hajra Sujoy, Liu Careesa C, Song Xiaowei, Fickling Shaun, Liu Luke E, Pawlowski Gabriela, Jorgensen Janelle K, Smith Aynsley M, Schnaider-Beeri Michal, Van Den Broek Rudi, Rizzotti Rowena, Fisher Kirk, D'Arcy Ryan C N
Faculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada.
Faculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada; Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health AuthoritySurrey, BC, Canada.
Front Neurosci. 2016 May 12;10:211. doi: 10.3389/fnins.2016.00211. eCollection 2016.
Clinical assessment of brain function relies heavily on indirect behavior-based tests. Unfortunately, behavior-based assessments are subjective and therefore susceptible to several confounding factors. Event-related brain potentials (ERPs), derived from electroencephalography (EEG), are often used to provide objective, physiological measures of brain function. Historically, ERPs have been characterized extensively within research settings, with limited but growing clinical applications. Over the past 20 years, we have developed clinical ERP applications for the evaluation of functional status following serious injury and/or disease. This work has identified an important gap: the need for a clinically accessible framework to evaluate ERP measures. Crucially, this enables baseline measures before brain dysfunction occurs, and might enable the routine collection of brain function metrics in the future much like blood pressure measures today. Here, we propose such a framework for extracting specific ERPs as potential "brain vital signs." This framework enabled the translation/transformation of complex ERP data into accessible metrics of brain function for wider clinical utilization. To formalize the framework, three essential ERPs were selected as initial indicators: (1) the auditory N100 (Auditory sensation); (2) the auditory oddball P300 (Basic attention); and (3) the auditory speech processing N400 (Cognitive processing). First step validation was conducted on healthy younger and older adults (age range: 22-82 years). Results confirmed specific ERPs at the individual level (86.81-98.96%), verified predictable age-related differences (P300 latency delays in older adults, p < 0.05), and demonstrated successful linear transformation into the proposed brain vital sign (BVS) framework (basic attention latency sub-component of BVS framework reflects delays in older adults, p < 0.05). The findings represent an initial critical step in developing, extracting, and characterizing ERPs as vital signs, critical for subsequent evaluation of dysfunction in conditions like concussion and/or dementia.
脑功能的临床评估严重依赖基于间接行为的测试。不幸的是,基于行为的评估具有主观性,因此容易受到多种混杂因素的影响。源自脑电图(EEG)的事件相关脑电位(ERP)常被用于提供脑功能的客观生理指标。从历史上看,ERP在研究环境中已得到广泛表征,临床应用有限但在不断增加。在过去20年里,我们开发了临床ERP应用,用于评估严重损伤和/或疾病后的功能状态。这项工作发现了一个重要差距:需要一个临床可用的框架来评估ERP指标。至关重要的是,这能够在脑功能障碍发生之前进行基线测量,并且未来可能会像如今测量血压一样实现脑功能指标的常规收集。在此,我们提出这样一个框架,用于提取特定的ERP作为潜在的“脑生命体征”。该框架能够将复杂的ERP数据转化为可用于临床广泛应用的脑功能可及指标。为了使该框架形式化,选择了三个基本ERP作为初始指标:(1)听觉N100(听觉感觉);(2)听觉失匹配负波P300(基本注意力);以及(3)听觉言语处理N400(认知处理)。在健康的年轻人和老年人(年龄范围:22 - 82岁)中进行了第一步验证。结果在个体水平上确认了特定的ERP(86.81 - 98.96%),验证了可预测的年龄相关差异(老年人P300潜伏期延迟,p < 0.05),并证明成功线性转化为所提出的脑生命体征(BVS)框架(BVS框架的基本注意力潜伏期子成分反映了老年人的延迟,p < 0.05)。这些发现代表了将ERP开发、提取并表征为生命体征的关键第一步,这对于后续评估脑震荡和/或痴呆等病症中的功能障碍至关重要。