Chowdhury Muhammad E H, Khandakar Amith, Mullinger Karen J, Al-Emadi Nasser, Bowtell Richard
Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar.
Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.
Front Neurosci. 2019 Jul 10;13:690. doi: 10.3389/fnins.2019.00690. eCollection 2019.
Electroencephalography (EEG) data recorded during simultaneous EEG-fMRI experiments are contaminated by large gradient artifacts (GA). The amplitude of the GA depends on the area of the wire loops formed by the EEG leads, as well as on the rate of switching of the magnetic field gradients, which are essential for MR imaging. Average artifact subtraction (AAS), the most commonly used method for GA correction, relies on the EEG amplifier having a large enough dynamic range to characterize the artifact voltages. Low-pass filtering (250 Hz cut-off) is generally used to attenuate the high-frequency voltage fluctuations of the GA, but even with this precaution channel saturation can occur, particularly during acquisition of high spatial resolution MRI data. Previous work has shown that the ribbon cable, used to connect the EEG cap and amplifier, makes a significant contribution to the GA, since the cable geometry produces large effective wire-loop areas. However, by appropriately connecting the wires of the ribbon cable to the EEG cap it should be possible to minimize the overall range and root mean square (RMS) amplitude of the GA by producing partial cancelation of the cap and cable contributions. Here by modifying the connections of the EEG cap to a 1 m ribbon cable we were able to reduce the range of the GA for a high-resolution coronal echo planar Imaging (EPI) acquisition by a factor of ∼ 1.6 and by a factor of ∼ 1.15 for a standard axial EPI acquisition. These changes could potentially be translated into a reduction in the required dynamic range, an increase in the EEG bandwidth or an increase in the achievable image resolution without saturation, all of which could be beneficially exploited in EEG-fMRI studies. The re-wiring could also prevent the system from saturating when small subject movements occur using the standard recording bandwidth.
在同步脑电图-功能磁共振成像(EEG-fMRI)实验中记录的脑电图(EEG)数据会受到大梯度伪影(GA)的污染。GA的幅度取决于EEG导联形成的导线环面积,以及对磁共振成像至关重要的磁场梯度切换速率。平均伪影减法(AAS)是最常用的GA校正方法,它依赖于EEG放大器具有足够大的动态范围来表征伪影电压。通常使用低通滤波(截止频率250Hz)来衰减GA的高频电压波动,但即使采取了这种预防措施,通道饱和仍可能发生,尤其是在采集高空间分辨率MRI数据期间。先前的工作表明,用于连接EEG帽和放大器的带状电缆对GA有重大贡献,因为电缆的几何形状会产生较大的有效导线环面积。然而,通过将带状电缆的导线适当地连接到EEG帽,应该可以通过部分抵消帽和电缆的贡献来最小化GA的整体范围和均方根(RMS)幅度。在这里,通过修改EEG帽与1m带状电缆的连接,我们能够将高分辨率冠状面回波平面成像(EPI)采集的GA范围降低约1.6倍,将标准轴向EPI采集的GA范围降低约1.15倍。这些变化有可能转化为所需动态范围的减小、EEG带宽的增加或在不饱和情况下可实现的图像分辨率的提高,所有这些在EEG-fMRI研究中都可能得到有益的利用。重新布线还可以防止系统在使用标准记录带宽时因小的受试者运动而饱和。