Department of Neurology, University of Michigan, Ann Arbor, Michigan 48109-5036, USA.
Epilepsia. 2013 Aug;54(8):1391-401. doi: 10.1111/epi.12202. Epub 2013 May 3.
Recent studies in epilepsy, cognition, and brain machine interfaces have shown the utility of recording intracranial electroencephalography (iEEG) with greater spatial resolution. Many of these studies utilize microelectrodes connected to specialized amplifiers that are optimized for such recordings. We recently measured the impedances of several commercial microelectrodes and demonstrated that they will distort iEEG signals if connected to clinical EEG amplifiers commonly used in most centers. In this study we demonstrate the clinical implications of this effect and identify some of the potential difficulties in using microelectrodes.
Human iEEG data were digitally filtered to simulate the signal recorded by a hybrid grid (two macroelectrodes and eight microelectrodes) connected to a standard EEG amplifier. The filtered iEEG data were read by three trained epileptologists, and high frequency oscillations (HFOs) were detected with a well-known algorithm. The filtering method was verified experimentally by recording an injected EEG signal in a saline bath with the same physical acquisition system used to generate the model. Several electrodes underwent scanning electron microscopy (SEM).
Macroelectrode recordings were unaltered compared to the source iEEG signal, but microelectrodes attenuated low frequencies. The attenuated signals were difficult to interpret: all three clinicians changed their clinical scoring of slowing and seizures when presented with the same data recorded on different sized electrodes. The HFO detection algorithm was oversensitive with microelectrodes, classifying many more HFOs than when the same data were recorded with macroelectrodes. In addition, during experimental recordings the microelectrodes produced much greater noise as well as large baseline fluctuations, creating sharply contoured transients, and superimposed "false" HFOs. SEM of these microelectrodes demonstrated marked variability in exposed electrode surface area, lead fractures, and sharp edges.
Microelectrodes should not be used with low impedance (<1 GΩ) amplifiers due to severe signal attenuation and variability that changes clinical interpretations. The current method of preparing microelectrodes can leave sharp edges and nonuniform amounts of exposed wire. Even when recorded with higher impedance amplifiers, microelectrode data are highly prone to artifacts that are difficult to interpret. Great care must be taken when analyzing iEEG from high impedance microelectrodes.
最近在癫痫、认知和脑机接口方面的研究表明,记录颅内脑电图(iEEG)具有更高的空间分辨率是有用的。这些研究中的许多研究都使用了与专门的放大器相连的微电极,这些放大器经过优化可用于此类记录。我们最近测量了几种商业微电极的阻抗,并证明如果将它们连接到大多数中心常用的临床 EEG 放大器,将它们将使 iEEG 信号失真。在这项研究中,我们证明了这种效应的临床意义,并确定了使用微电极可能存在的一些潜在困难。
使用数字滤波器对人类 iEEG 数据进行滤波,以模拟连接到标准 EEG 放大器的混合栅格(两个宏观电极和八个微电极)记录的信号。滤波后的 iEEG 数据由三位训练有素的癫痫学家读取,并使用一种知名算法检测高频振荡(HFO)。通过在盐水浴中记录注入的 EEG 信号并用生成模型的相同物理采集系统进行实验验证了滤波方法。几个电极进行了扫描电子显微镜(SEM)检查。
与源 iEEG 信号相比,宏观电极记录没有变化,但微电极衰减了低频信号。衰减后的信号难以解释:当向三位临床医生展示使用不同尺寸的电极记录的相同数据时,他们都改变了对减速和癫痫发作的临床评分。HFO 检测算法对微电极过于敏感,将更多的 HFO 分类为与使用宏观电极记录的相同数据。此外,在实验记录过程中,微电极产生的噪声更大,基线波动更大,产生急剧轮廓的瞬变,并叠加“假”HFO。这些微电极的 SEM 显示出暴露的电极表面积、引线断裂和尖锐边缘的明显变化。
由于信号衰减和严重变化,微电极不应与低阻抗(<1GΩ)放大器一起使用,这会改变临床解释。微电极的制备方法会留下尖锐的边缘和不均匀的暴露金属丝数量。即使使用更高阻抗的放大器进行记录,微电极数据也非常容易受到难以解释的伪影的影响。在分析来自高阻抗微电极的 iEEG 时,必须格外小心。