Song Hang, Chen Ruoyu, Ren Liyuan, Sun Junfeng, Tong Shanbao
School of Biomedical Engineering, Shanghai Jiao Tong University, No.1954 Huashan Road, Shanghai, 200030, Shanghai, China.
Med Biol Eng Comput. 2025 Jun;63(6):1797-1808. doi: 10.1007/s11517-025-03290-5. Epub 2025 Jan 28.
Previous studies reported baseline state-dependent effects on neural and hemodynamic responses to transcranial ultrasound stimulation. However, due to neurovascular coupling, neither neural nor hemodynamic baseline alone can fully explain the ultrasound-induced responses. In this study, using a general linear model, we aimed to investigate the roles of both neural and hemodynamic baseline status as well as their interactions in ultrasound-induced responses. Thirty Sprague-Dawley rats were randomly assigned to Hypoxia, Hyperoxia, and Normoxia groups. The baseline states were altered by changing the oxygen concentrations. Micro-electrode and laser speckle contrast imaging were used to record local field potentials and cerebral blood flow during resting, before, and after ultrasound stimulation, respectively. We found that baseline neural activity played a positive role in neural response (Coefficient = 0.634, t = 1.748, p = 0.096, = 0.133), but a negative role in hemodynamic response (Coefficient = 0.060, t = 1.996, p = 0.060, = 0.166). Baseline hemodynamic activity also had a significantly negative correlation with the hemodynamic response (Coefficient = 0.760, t = 3.947, p 0.001, = 0.438). This study enriched our understanding of state-dependent effects underlying the neurovascular activation by ultrasound stimulation.
先前的研究报道了基线状态依赖对经颅超声刺激的神经和血流动力学反应的影响。然而，由于神经血管耦合，单独的神经或血流动力学基线都不能完全解释超声诱导的反应。在本研究中，我们使用一般线性模型，旨在研究神经和血流动力学基线状态及其相互作用在超声诱导反应中的作用。将30只Sprague-Dawley大鼠随机分为低氧组、高氧组和常氧组。通过改变氧浓度来改变基线状态。分别使用微电极和激光散斑对比成像在静息状态、超声刺激前和刺激后记录局部场电位和脑血流。我们发现基线神经活动对神经反应起积极作用（系数 = 0.634，t = 1.748，p = 0.096， = 0.133），但对血流动力学反应起消极作用（系数 = 0.060，t = 1.996，p = 0.060， = 0.166）。基线血流动力学活动与血流动力学反应也有显著的负相关（系数 = 0.760，t = 3.947，p < 0.001， = 0.438）。本研究丰富了我们对超声刺激引起的神经血管激活背后的状态依赖效应的理解。
