Spiegelberg Andreas, Boraschi Andrea, Karimi Fariba, Capstick Myles, Fallahi Arya, Neufeld Esra, Kuster Niels, Kurtcuoglu Vartan
IEEE Trans Biomed Eng. 2023 Jan;70(1):144-153. doi: 10.1109/TBME.2022.3186748. Epub 2022 Dec 26.
The clinical management of several neurological disorders benefits from the assessment of intracranial pressure and craniospinal compliance. However, the associated procedures are invasive in nature. Here, we aimed to assess whether naturally occurring periodic changes in the dielectric properties of the head could serve as the basis for deriving surrogates of craniospinal compliance noninvasively.
We designed a device and electrodes for noninvasive measurement of periodic changes of the dielectric properties of the human head. We characterized the properties of the device-electrode-head system by measurements on healthy volunteers, by computational modeling, and by electromechanical modeling. We then performed hyperventilation testing to assess whether the measured signal is of intracranial origin.
Signals obtained with the device on volunteers showed characteristic cardiac and respiratory modulations. Signal oscillations can be attributed primarily to changes in resistive properties of the head during cardiac and respiratory cycles. Reduction of end-tidal CO, through hyperventilation, resulted in a decrease in the signal amplitude associated with cardiovascular action.
Given the higher CO reactivity of intracranial vessels compared to extracranial ones, the results of hyperventilation testing suggest that the acquired signal is, in part, of intracranial origin.
If confirmed in larger cohorts, our observations suggest that noninvasive capacitive acquisition of changes in the dielectric properties of the head could be used to derive surrogates of craniospinal compliance.
几种神经系统疾病的临床管理受益于颅内压和颅脊髓顺应性的评估。然而,相关程序本质上是侵入性的。在此,我们旨在评估头部介电特性的自然周期性变化是否可作为无创推导颅脊髓顺应性替代指标的基础。
我们设计了一种用于无创测量人头介电特性周期性变化的装置和电极。我们通过对健康志愿者进行测量、通过计算建模以及通过机电建模来表征装置 - 电极 - 头部系统的特性。然后我们进行了过度通气测试,以评估所测量的信号是否源自颅内。
该装置在志愿者身上获得的信号显示出典型的心电和呼吸调制。信号振荡主要可归因于心电和呼吸周期中头部电阻特性的变化。通过过度通气降低呼气末二氧化碳分压导致与心血管活动相关的信号幅度减小。
鉴于颅内血管与颅外血管相比具有更高的二氧化碳反应性,过度通气测试结果表明所获取的信号部分源自颅内。
如果在更大的队列中得到证实,我们的观察结果表明,无创电容式获取头部介电特性的变化可用于推导颅脊髓顺应性的替代指标。