Włodarczyk Lidia, Cichon Natalia, Saluk-Bijak Joanna, Bijak Michal, Majos Agata, Miller Elzbieta
Department of Neurological Rehabilitation, Medical University of Lodz, Poland Milionowa 14, 93-113 Lodz, Poland.
Biohazard Prevention Centre, Faculty of Biology and Environmental Protection, University of Lodz, Pomorska, 141/143, 90-236 Lodz, Poland.
J Clin Med. 2022 Apr 28;11(9):2473. doi: 10.3390/jcm11092473.
Stroke as the most frequent cause of disability is a challenge for the healthcare system as well as an important socio-economic issue. Therefore, there are currently a lot of studies dedicated to stroke recovery. Stroke recovery processes include angiogenesis and neuroplasticity and advances in neuroimaging techniques may provide indirect description of this action and become quantifiable indicators of these processes as well as responses to the therapeutical interventions. This means that neuroimaging and neurophysiological methods can be used as biomarkers-to make a prognosis of the course of stroke recovery and define patients with great potential of improvement after treatment. This approach is most likely to lead to novel rehabilitation strategies based on categorizing individuals for personalized treatment. In this review article, we introduce neuroimaging techniques dedicated to stroke recovery analysis with reference to angiogenesis and neuroplasticity processes. The most beneficial for personalized rehabilitation are multimodal panels of stroke recovery biomarkers, including neuroimaging and neurophysiological, genetic-molecular and clinical scales.
中风作为导致残疾的最常见原因,对医疗保健系统而言是一项挑战,也是一个重要的社会经济问题。因此,目前有许多致力于中风恢复的研究。中风恢复过程包括血管生成和神经可塑性,神经成像技术的进步可能会提供对这一过程的间接描述,并成为这些过程以及对治疗干预反应的可量化指标。这意味着神经成像和神经生理学方法可以用作生物标志物,以预测中风恢复过程,并确定治疗后有很大改善潜力的患者。这种方法最有可能基于对个体进行分类以实现个性化治疗,从而产生新的康复策略。在这篇综述文章中,我们参考血管生成和神经可塑性过程,介绍了专门用于中风恢复分析的神经成像技术。对个性化康复最有益的是中风恢复生物标志物的多模态组合,包括神经成像和神经生理学、基因分子和临床量表。