Hermes Dora, Miller Kai J
Department of Neurology & Neurosurgery, UMC Utrecht Brain Center, University Medical Center, Utrecht, The Netherlands; Department of Physiology & Biomedical Engineering, Mayo Clinic, Rochester, MN, United States.
Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States.
Handb Clin Neurol. 2020;168:263-277. doi: 10.1016/B978-0-444-63934-9.00019-6.
Intracranial electroencephalography (iEEG) is measured from electrodes placed in or on the brain. These measurements have an excellent signal-to-noise ratio and iEEG signals have often been used to decode brain activity or drive brain-computer interfaces (BCIs). iEEG recordings are typically done for seizure monitoring in epilepsy patients who have these electrodes placed for a clinical purpose: to localize both brain regions that are essential for function and others where seizures start. Brain regions not involved in epilepsy are thought to function normally and provide a unique opportunity to learn about human neurophysiology. Intracranial electrodes measure the aggregate activity of large neuronal populations and recorded signals contain many features. Different features are extracted by analyzing these signals in the time and frequency domain. The time domain may reveal an evoked potential at a particular time after the onset of an event. Decomposition into the frequency domain may show narrowband peaks in the spectrum at specific frequencies or broadband signal changes that span a wide range of frequencies. Broadband power increases are generally observed when a brain region is active while most other features are highly specific to brain regions, inputs, and tasks. Here we describe the spatiotemporal dynamics of several iEEG signals that have often been used to decode brain activity and drive BCIs.
颅内脑电图(iEEG)是通过放置在脑内或脑表面的电极进行测量的。这些测量具有出色的信噪比,iEEG信号常被用于解码大脑活动或驱动脑机接口(BCI)。iEEG记录通常用于癫痫患者的癫痫发作监测,这些患者出于临床目的放置了这些电极:以定位对功能至关重要的脑区以及癫痫发作起始的其他脑区。未参与癫痫发作的脑区被认为功能正常,为了解人类神经生理学提供了独特的机会。颅内电极测量大量神经元群体的总体活动,记录的信号包含许多特征。通过在时域和频域中分析这些信号来提取不同的特征。时域可能会揭示事件发生后特定时间的诱发电位。分解到频域可能会显示频谱中特定频率处的窄带峰值或跨越广泛频率范围的宽带信号变化。当脑区活跃时,通常会观察到宽带功率增加,而大多数其他特征对脑区、输入和任务具有高度特异性。在这里,我们描述了几种常用于解码大脑活动和驱动BCI的iEEG信号的时空动态。