Xin Xin, Wang Zixian, Jia Shuqi, Li Shufan, Liu Qing, Wang Xingze, Wang Xing
Department of Physical Education, Shanghai International Studies University , Shanghai, China.
College of Sports Science, Shenyang Normal University, Shenyang, China.
Sci Rep. 2025 Jul 30;15(1):27828. doi: 10.1038/s41598-025-12334-7.
This study aims to explore the brain network connectivity patterns in elderly individuals with cognitive impairment at varying levels of inhibitory function and to identify key brain connectivity features that influence inhibitory function. The study analyzed data from 120 elderly individuals with cognitive impairment, including the Montreal Cognitive Assessment ( MoCA ), muscle strength, Stroop task performance, and 5-minute resting-state EEG signals. Pearson correlation and analysis of variance were used to identify significant targets. BrainNet Viewer was utilized to create visualizations of EEG-based brain networks to identify connectivity features. (1) Stroop task accuracy under congruent/incongruent conditions showed a significant positive correlation with MoCA scores (r = 0.599, p < 0.01; r = 0.474, p < 0.01), while reaction times under these conditions exhibited a significant negative correlation with MoCA scores (r=-0.475, p < 0.01; r=-0.354, p < 0.01). (2) Significant differences were observed among the four groups of elderly individuals with cognitive impairment in grip strength, 30-second sit-to-stand, and SPPB performance (P < 0.05). In EEG metrics, significant differences were identified among the four groups in Fp1θ, Fp1α1, Fp1α2, Fp2α1, Fp2α2, F3α1, F4α1, F4α2, C3α1, C4α1, C4α2, P3α1, P4α1, P4α2, O1α1, O2α1, O2α2, F7α1, F8α1, F8α2, T4α1, T4α2, T5α1, T6α1, T6α2 (P < 0.05). (3) Higher accuracy in inhibitory function was mainly associated with stronger and denser connectivity in the prefrontal and parietal regions, whereas faster reaction times were linked to the central and occipital regions. The observed balance in connectivity between the left and right hemispheres was associated with differences in inhibitory function and task execution efficiency in elderly individuals with cognitive impairment. Training in physical function and muscle strength may enhance EEG activity in individuals with lower levels of inhibitory function, thereby improving their cognitive abilities.
本研究旨在探索不同抑制功能水平的认知障碍老年人的脑网络连接模式,并确定影响抑制功能的关键脑连接特征。该研究分析了120名认知障碍老年人的数据,包括蒙特利尔认知评估(MoCA)、肌肉力量、斯特鲁普任务表现以及5分钟静息态脑电图信号。采用皮尔逊相关性分析和方差分析来确定显著目标。利用BrainNet Viewer创建基于脑电图的脑网络可视化图像,以识别连接特征。(1)在一致/不一致条件下,斯特鲁普任务的准确性与MoCA评分呈显著正相关(r = 0.599,p < 0.01;r = 0.474,p < 0.01),而这些条件下的反应时间与MoCA评分呈显著负相关(r = -0.475,p < 0.01;r = -0.354,p < 0.01)。(2)在握力、30秒坐立测试和简易体能状况量表(SPPB)表现方面,四组认知障碍老年人之间存在显著差异(P < 0.05)。在脑电图指标方面,四组在Fp1θ、Fp1α1、Fp1α2、Fp2α1、Fp2α2、F3α1、F4α1、F4α2、C3α1、C4α1、C4α2、P3α1、P4α1、P4α2、O1α1、O2α1、O2α2、F7α1、F8α1、F8α2、T4α1、T4α2、T5α1、T6α1、T6α2上存在显著差异(P < 0.05)。(3)抑制功能较高的准确性主要与前额叶和顶叶区域更强、更密集的连接有关,而更快的反应时间则与中央和枕叶区域有关。观察到的左右半球连接平衡与认知障碍老年人抑制功能和任务执行效率的差异有关。身体功能和肌肉力量训练可能会增强抑制功能较低个体的脑电图活动,从而提高他们的认知能力。