Xu Mengru, Qian Linze, Wang Sujie, Cai Huaying, Sun Yi, Thakor Nitish, Qi Xuchen, Sun Yu
Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Aging Neurosci. 2023 Jul 6;15:1193292. doi: 10.3389/fnagi.2023.1193292. eCollection 2023.
Although consistent evidence has revealed that cognitive impairment is a common sequela in patients with mild stroke, few studies have focused on it, nor the impact of lesion location on cognitive function. Evidence on the neural mechanisms underlying the effects of mild stroke and lesion location on cognitive function is limited. This prompted us to conduct a comprehensive and quantitative study of functional brain network properties in mild stroke patients with different lesion locations. Specifically, an empirical approach was introduced in the present work to explore the impact of mild stroke-induced cognitive alterations on functional brain network reorganization during cognitive tasks (i.e., visual and auditory oddball). Electroencephalogram functional connectivity was estimated from three groups (i.e., 40 patients with cortical infarctions, 48 patients with subcortical infarctions, and 50 healthy controls). Using graph theoretical analysis, we quantitatively investigated the topological reorganization of functional brain networks at both global and nodal levels. Results showed that both patient groups had significantly worse behavioral performance on both tasks, with significantly longer reaction times and reduced response accuracy. Furthermore, decreased global and local efficiency were found in both patient groups, indicating a mild stroke-related disruption in information processing efficiency that is independent of lesion location. Regarding the nodal level, both divergent and convergent node strength distribution patterns were revealed between both patient groups, implying that mild stroke with different lesion locations would lead to complex regional alterations during visual and auditory information processing, while certain robust cognitive processes were independent of lesion location. These findings provide some of the first quantitative insights into the complex neural mechanisms of mild stroke-induced cognitive impairment and extend our understanding of underlying alterations in cognition-related brain networks induced by different lesion locations, which may help to promote post-stroke management and rehabilitation.
尽管一致的证据表明认知障碍是轻度中风患者常见的后遗症,但很少有研究关注这一问题,也很少研究病变位置对认知功能的影响。关于轻度中风及其病变位置对认知功能影响的神经机制的证据有限。这促使我们对不同病变位置的轻度中风患者的功能性脑网络特性进行全面定量研究。具体而言,本研究引入了一种实证方法,以探讨轻度中风引起的认知改变对认知任务(即视觉和听觉oddball任务)期间功能性脑网络重组的影响。通过对三组受试者(即40例皮质梗死患者、48例皮质下梗死患者和50名健康对照)的脑电图进行功能连接性估计。使用图论分析,我们在全局和节点水平上定量研究了功能性脑网络的拓扑重组。结果表明,两组患者在两项任务中的行为表现均显著较差,反应时间显著延长,反应准确性降低。此外,两组患者的全局和局部效率均降低,表明与轻度中风相关的信息处理效率破坏与病变位置无关。在节点水平上,两组患者均呈现出发散和收敛的节点强度分布模式,这意味着不同病变位置的轻度中风会导致视觉和听觉信息处理过程中复杂的区域改变,而某些强大的认知过程与病变位置无关。这些发现为轻度中风引起的认知障碍的复杂神经机制提供了一些初步的定量见解,并扩展了我们对不同病变位置引起的认知相关脑网络潜在改变的理解,这可能有助于促进中风后的管理和康复。