Wang Dan, Wang Jie, Zhao Hongbo, Liang Yahui, Zhang Wenyue, Li Mingxi, Liu Hua, Hu Di, Zhang Sibin, Xing Enlong, Su Ying, Yu Wanchen, Sun Jinyan, Yang Aoran
Department of Traditional Chinese Medicine, Beijing Rehabilitation Hospital of Capital Medical University, Beijing, China.
School of Medicine, Foshan University, Foshan, China.
Brain Res. 2023 Apr 15;1805:148269. doi: 10.1016/j.brainres.2023.148269. Epub 2023 Feb 1.
With the ageing of the world population, the incidence of stroke has been increasing annually, becoming a public health problem affecting adult health. Limb motor dysfunction is one of the common complications of stroke and an important factor in disability. Therefore, restoring limb function is an important task in current rehabilitation. Accurate assessment of motor function in stroke patients is the basis for formulating effective rehabilitation strategies. With the development of neuroimaging technology, scholars have begun to study objective evaluation methods for limb motor dysfunction in stroke to determine reliable neural biomarkers to accurately identify brain functional activity and its relationship with limb motor function. The prefrontal cortex (PFC) plays an important role in motor control and in response to motor state changes. Our previous study found that the PFC network characteristics of stroke patients are related to their motor function status and the topological properties of the PFC network under resting state can predict the motor function of stroke patients to some extent. Therefore, this study used functional near-infrared spectroscopy (fNIRS) to evaluate prefrontal neuroplasticity markers and the relationships between such neural markers and limb motor function in stroke patients with limb motor dysfunction, which could be helpful to further clarify the relationship between brain neuroplasticity and cerebral haemodynamics. At the same time, through accurate and objective means of evaluation, it could be helpful for clinicians to formulate and optimize individualized rehabilitation treatment plans and accurately determine the rehabilitation efficacy and prognosis.
This study recruited 17 S patients with limb motor dysfunction and 9 healthy subjects. fNIRS was used to collect 22 channels of cerebral blood oxygen signals in the PFC in the resting state. The differences in prefrontal oxygenated haemoglobin (HbO) and deoxygenated haemoglobin (HbR) concentrations were analysed between stroke patients and healthy subjects, and the lateralization index (LI) of HbO in stroke patients was also calculated. Pearson's correlation analysis was performed between the LI and the scores of the Fugl-Meyer Assessment Scale (FMA) of motor function in stroke patients.
The results found that the prefrontal HbO concentration was significantly decreased in stroke patients with limb motor dysfunction compared with healthy subjects, and there was a significant, positive correlation between the LI of the PFC and FMA scores in stroke patients.
These study results showed that stroke can cause cerebral haemodynamic changes in the PFC, and the functional imbalance of the left and right PFC in the resting state is correlated with the severity of limb motor dysfunction. Furthermore, we emphasize that the cerebral haemodynamic activity reflected by fNIRS could be used as a reliable neural biomarker for assessing limb motor dysfunction in stroke.
随着世界人口老龄化,中风的发病率逐年上升,成为影响成年人健康的公共卫生问题。肢体运动功能障碍是中风常见的并发症之一,也是导致残疾的重要因素。因此,恢复肢体功能是当前康复工作的一项重要任务。准确评估中风患者的运动功能是制定有效康复策略的基础。随着神经影像学技术的发展,学者们开始研究中风后肢体运动功能障碍的客观评估方法,以确定可靠的神经生物标志物,从而准确识别脑功能活动及其与肢体运动功能的关系。前额叶皮质(PFC)在运动控制及对运动状态变化的反应中发挥着重要作用。我们之前的研究发现,中风患者的PFC网络特征与其运动功能状态相关,静息状态下PFC网络的拓扑特性在一定程度上可以预测中风患者的运动功能。因此,本研究采用功能近红外光谱技术(fNIRS)评估肢体运动功能障碍的中风患者前额叶神经可塑性标志物,以及此类神经标志物与肢体运动功能之间的关系,这有助于进一步阐明脑可塑性与脑血流动力学之间的关系。同时,通过准确、客观的评估手段,有助于临床医生制定和优化个体化康复治疗方案,并准确判断康复疗效及预后。
本研究招募了17例有肢体运动功能障碍的中风患者和9名健康受试者。采用fNIRS在静息状态下采集PFC区域22个通道的脑血氧信号。分析中风患者与健康受试者前额叶氧合血红蛋白(HbO)和脱氧血红蛋白(HbR)浓度的差异,并计算中风患者HbO的偏侧化指数(LI)。对中风患者的LI与Fugl-Meyer运动功能评估量表(FMA)评分进行Pearson相关性分析。
结果发现,有肢体运动功能障碍的中风患者前额叶HbO浓度显著低于健康受试者,中风患者PFC的LI与FMA评分之间存在显著正相关。
这些研究结果表明,中风可导致PFC脑血流动力学变化,静息状态下左右PFC功能失衡与肢体运动功能障碍的严重程度相关。此外,我们强调fNIRS反映的脑血流动力学活动可作为评估中风患者肢体运动功能障碍的可靠神经生物标志物。