Sethia Manan, Sahin Mesut
Biomedical Engineering Department, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
BMC Biomed Eng. 2022 Mar 21;4(1):3. doi: 10.1186/s42490-022-00060-4.
Electrocorticography (ECoG) arrays are commonly used to record the brain activity both in animal and human subjects. There is a lack of guidelines in the literature as to how the array geometry, particularly the via holes in the substrate, affects the recorded signals. A finite element (FE) model was developed to simulate the electric field generated by neurons located at different depths in the rat brain cortex and a micro ECoG array (μECoG) was placed on the pia surface for recording the neural signal. The array design chosen was a typical array of 8 × 8 circular (100 μm in diam.) contacts with 500 μm pitch. The size of the via holes between the recording contacts was varied to see the effect.
The results showed that recorded signal amplitudes were reduced if the substrate was smaller than about four times the depth of the neuron in the gray matter. The signal amplitude profiles had dips around the via holes and the amplitudes were also lower at the contact sites as compared to the design without the holes; an effect that increased with the hole size. Another noteworthy result is that the spatial selectivity of the multi-contact recordings could be improved or reduced by the selection of the via hole sizes, and the effect depended on the distance between the neuron pair targeted for selective recording and its depth.
The results suggest that the via-hole size clearly affects the recorded neural signal amplitudes and it can be leveraged as a parameter to reduce the inter-channel correlation and thus maximize the information content of neural signals with μECoG arrays.
皮质脑电图(ECoG)阵列常用于记录动物和人类受试者的大脑活动。关于阵列几何结构,特别是基板中的通孔如何影响记录信号,文献中缺乏相关指导原则。开发了一个有限元(FE)模型来模拟大鼠大脑皮层中不同深度神经元产生的电场,并将一个微型ECoG阵列(μECoG)放置在软脑膜表面以记录神经信号。所选的阵列设计是一个典型的8×8圆形(直径100μm)触点阵列,间距为500μm。改变记录触点之间通孔的尺寸以观察其效果。
结果表明,如果基板小于灰质中神经元深度的约四倍,则记录的信号幅度会降低。信号幅度分布在通孔周围有凹陷,并且与无孔设计相比,触点部位的幅度也较低;这种效应随着孔尺寸的增加而增强。另一个值得注意的结果是,通过选择通孔尺寸可以提高或降低多触点记录的空间选择性,并且该效应取决于用于选择性记录的神经元对之间的距离及其深度。
结果表明,通孔尺寸明显影响记录的神经信号幅度,并且可以将其作为一个参数来降低通道间相关性,从而通过μECoG阵列最大化神经信号的信息含量。