Bögli Stefan Yu, Olakorede Ihsane, Beqiri Erta, Cucciolini Giada, Motroni Virginia, Smith Claudia Ann, Cherchi Marina Sandra, O'Leary Ronan, Smielewski Peter
Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Department of Neurology and Neurocritical Care Unit, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Physiol Rep. 2025 Apr;13(8):e70332. doi: 10.14814/phy2.70332.
Cerebrovascular autoregulation (CAR) maintains stable cerebral perfusion by adjusting arteriole diameters in response to slow pressure fluctuations. Various CAR correlation coefficients-PRx (based on intracranial pressure-ICP), Mx (based on transcranial doppler-TCD), and COx/THx (based on near-infrared spectroscopy-NIRS)-are used interchangeably despite fundamental differences. 566 hours of ICP, NIRS, and TCD data from 38 traumatic brain injury (TBI) patients were assessed. The intercorrelation between CAR correlation coefficients was compared in relation to: (1) The impact of different filtering methods (to minimize noise); (2) The impact of slow wave power (i.e., magnitude of incoming trigger); (3) The impact of coherence (i.e., to what extent can the power of slow waves explain the change in power within the cerebral biosignal). Only coherence stratification consistently increased the metric intercorrelation to PRx (high vs. low) when evaluating Mx (0.43 vs. 0.08, p < 0.01) and THx (0.36 vs. 0.05, p < 0.01). Additionally, high coherence and ABP power were associated with fewer correlation coefficients around 0. Coherence increases the intercorrelation between the different CAR metrics. These sections might be regarded as more reliable, since they are derived from different biosignals that are all affected by CAR through different mechanisms.
脑血管自动调节（CAR）通过响应缓慢的压力波动来调节小动脉直径，从而维持稳定的脑灌注。尽管存在根本差异，但各种CAR相关系数——PRx（基于颅内压-ICP）、Mx（基于经颅多普勒-TCD）和COx/THx（基于近红外光谱-NIRS）仍可互换使用。对38名创伤性脑损伤（TBI）患者的566小时ICP、NIRS和TCD数据进行了评估。比较了CAR相关系数之间的相互关系，涉及：（1）不同滤波方法（以最小化噪声）的影响；（2）慢波功率的影响（即传入触发信号的幅度）；（3）相干性的影响（即慢波功率在多大程度上可以解释脑生物信号内功率的变化）。在评估Mx（0.43对0.08，p<0.01）和THx（0.36对0.05，p<0.01）时，只有相干性分层持续增加了与PRx的指标相互关系（高对低）。此外，高相干性和ABP功率与0附近较少的相关系数相关。相干性增加了不同CAR指标之间的相互关系。这些部分可能被认为更可靠，因为它们来自不同的生物信号，这些生物信号都通过不同的机制受到CAR的影响。
