Brown Benjamin R, Hund Samuel J, Easley Kirk A, Singer Eric L, Shuttleworth C William, Carlson Andrew P, Jones Stephen C
CerebroScope, the dba entity of SciencePlusPlease LLC, 4165 Blair St., Pittsburgh, PA 15207-1508, USA.
Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
medRxiv. 2025 Feb 1:2024.11.12.24311133. doi: 10.1101/2024.11.12.24311133.
BACKGROUND/OBJECTIVE: Cortical spreading depolarization (SD) is increasingly recognized as a major contributor to secondary brain injury. Noninvasive SD monitoring would enable the institution of SD-based therapeutics. Our primary objective is to establish proof-of-concept validation that scalp DC-potentials can provide noninvasive SD detection by comparing scalp direct-current (DC)-shifts from a high-density electrode array to SDs detected by gold-standard electrocorticography (ECoG). Our secondary objective is to assess usability and artifact tolerance.
An 83×58 mm thermoplastic elastomer array with 29 6-mm diameter Ag/AgCl 1-cm spaced electrodes, the CerebroPatch Proof-of-Concept Prototype, was adhesively placed on the forehead with an intervening electrode gel interface to record DC-electroencephalography in normal volunteers and severe acute brain injury patients in the neuro-intensive care unit some with and some without invasive ECoG electrodes. The scalp and ECoG voltages were collected by a Moberg Advanced ICU Amplifier. Artifacts were visually identified and usability issues were recorded. SD was scored on ECoG based on DC-shifts with associated high-frequency suppression and propagation. A six-parameter Gaussian plus quadratic baseline model was used to estimate ECoG and scalp electrode time-courses and scalp-voltage heat-map movies. The similarity of the noninvasive scalp and invasive ECoG DC-shift time-courses was compared via the Gaussian fit parameters and confirmed if the Coefficient-of-Determination was >0.80.
Usability and artifact issues obscured most scalp Prototype device data of the 140 ECoG-coded SDs during 11 days in one sub-arachnoid hemorrhage patient. Twenty-six of these DC-shifts were in readable, artifact-free portions of scalp recordings and 24 of these had a >0.80 Coefficient-of-Determination (0.98[0.02], median[IQR]) between invasive ECoG and noninvasive Prototype device DC-shifts. Reconstructed heat-map movies of the scalp DC-potentials showed a 5-cm extent, -460 μV peak region that persisted for ~70 sec. These data suggest that these scalp DC-shifts (peak -457±69 μV [mean±StD], full-width-half maximum 70.9±5.92 sec, area 18.7±2.76 cm) depicted in the heat-map movies represent noninvasively detected SDs.
These results using 26 SDs as the observational units suggest that noninvasive SD detection is possible using scalp DC-potential signals with a high spatial resolution EEG array. Although the high artifact burden data and low usability records were limiting, negative results, they serve as an important entrepreneurial recipe for a future, re-designed device that would reduce artifacts and improve usability for DC-EEG SD detection needed to enable multi-modal monitoring for secondary brain injury.
背景/目的:皮层扩散性抑制(SD)日益被认为是继发性脑损伤的主要原因。无创性SD监测将有助于开展基于SD的治疗。我们的主要目标是通过比较高密度电极阵列记录的头皮直流(DC)电位变化与金标准皮层脑电图(ECoG)检测到的SD,来建立头皮DC电位可提供无创性SD检测的概念验证。我们的次要目标是评估其可用性和伪迹耐受性。
将一个83×58毫米的热塑性弹性体阵列,带有29个直径6毫米、间距1厘米的Ag/AgCl电极,即脑电贴片概念验证原型,通过中间的电极凝胶界面粘贴在前额,用于记录正常志愿者以及神经重症监护病房中重度急性脑损伤患者的DC脑电图,其中一些患者有有创ECoG电极,一些没有。头皮和ECoG电压由莫伯格高级重症监护放大器采集。通过视觉识别伪迹并记录可用性问题。基于伴有高频抑制和传播的DC电位变化,在ECoG上对SD进行评分。使用六参数高斯加二次基线模型来估计ECoG和头皮电极的时间进程以及头皮电压热图电影。通过高斯拟合参数比较无创头皮和有创ECoG的DC电位变化时间进程的相似性,并在决定系数>0.80时进行确认。
在一名蛛网膜下腔出血患者的11天内,140次ECoG编码的SD中,可用性和伪迹问题使大多数头皮原型设备数据变得模糊。其中26次DC电位变化出现在头皮记录的可读且无伪迹部分,其中24次在有创ECoG和无创原型设备的DC电位变化之间的决定系数>0.80(中位数[四分位间距]为0.98[0.02])。重建的头皮DC电位热图电影显示,其范围为5厘米,峰值区域为-460μV,持续约70秒。这些数据表明,热图电影中描绘的这些头皮DC电位变化(峰值-457±69μV[平均值±标准差],半高宽70.9±5.92秒,面积18.7±2.76平方厘米)代表了无创检测到的SD。
以26次SD作为观察单位得出的这些结果表明,使用具有高空间分辨率的脑电图阵列的头皮DC电位信号进行无创性SD检测是可行的。尽管高伪迹负担数据和低可用性记录具有局限性且为阴性结果,但它们为未来重新设计的设备提供了重要的经验,该设备将减少伪迹并提高DC脑电图SD检测的可用性,以实现继发性脑损伤的多模态监测。