Bu Zixia, Jiang Shan, Sun Tingting, Yang Zhenxing, Sha Mo, Dong Fuqiang
School of International Chinese Language Education, Beijing Normal University, Beijing, China.
Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Sci Rep. 2025 May 23;15(1):17937. doi: 10.1038/s41598-025-98857-5.
The ameliorative effect of regular physical activity (PA) on cognitive function (CF) in older adults has been demonstrated. However, there are differences in the effects of different levels of PA on CF over time. To provide a more efficient exercise prescription for older adults, we compared differences in CF with neural mechanisms in individuals with different weekly activity levels. In this study, 68 older adults (n = 68, M = 47, F = 21, Age = 62.43 ± 4.36) were categorized according to the International Physical Activity Questionnaire (IPAQ) into high volume PA group (HG) (MET-min/week = 1516.64 ± 138.68), moderate volume PA group (MG) (MET-min/week = 1248.02 ± 119.86), and control group (MET-min/week = 1248.02 ± 119.86). 1516.64 ± 138.68), moderate volume PA group (MG) (MET-min/week = 1248.02 ± 119.86), and control group (MET-min/week = 846.78 ± 97.53). Differences in Stop Signal, Stroop, and 2-Back were compared among the three groups. Electroencephalogram (EEG), event-related potential (ERP), and magnetic resonance imaging (MRI) features were also observed. The results showed that for CF, 2-Back with Stroop was significantly higher in MG versus HG than in CG (F = 121.45, P < 0.01; F = 88.74, P < 0.01), and the opposite was true for response (F = 236.83, P < 0.01; F = 187.64, P < 0.01). Stroop was higher in HG than in MG (F = 38.78, P = 0.037) and Stop Signal was higher than in CG (F = 52.03, P < 0.01). In terms of EEG, the alpha band share of HG was higher than CG at rest (F = 41.34, P = 0.040) and the opposite in work (F = 25.67, P = 0.046). Although the remaining results were not statistically significant, PA levels were inversely proportional to resting midrange-band β (CG = 8.98 ± 1.02, MG = 8.07 ± 0.76, HG = 8.13 ± 0.88), and positively proportional to midrange and high-band β in WORK (midrange β: CG = 12.41 ± 2.29, MG = 12.98 ± 3.04, HG = 13.21 ± 2.85; high β: CG = 6.76 ± 2.23, MG = 7.35 ± 1.96, HG = 7.91 ± 2.3). In ERP, the latencies of N200, P300, and N450 were significantly shorter than those of CG in HG (F = 44.63, P = 0.041; F = 29.69, P = 0.045; F = 76.48, P < 0.01), and only N450 was shorter than that of CG in MG (F = 59.62, P < 0.01). On MRI, HG had Middle Frontal Gyrus (MFG) (HG > CG, voxel = 188, t = 3.72), Right Superior Frontal Gyrus (RSFG) (HG > CG, voxel = 238, t = 4.07), Left Cingulate (HG > CG, voxel = 343, t = 4.36), and Left Supplementary Motor Area (LSMA) (HG > CG, voxel = 343, t = 4.36) were activated more than CG. MFG (MG > CG, voxel = 172, t = 3.56), LSMA (MG > CG, voxel = 331, t = 4.28), and PHG (MG > CG, voxel = 204, t = 3.35) were activated more than CG. It was concluded that PA significantly enhanced CF in older adults, and that high volume PA was more effective than moderate volume. Specifically, VPA was found to be significantly more effective than MPA and LPA in enhancing individuals' inhibition function, cognitive flexibility, working memory, and reaction speed. This may be attributed to the increase in ERP amplitude with shorter latency and greater gray matter density in frontal and temporal lobe regions.
规律体育活动(PA)对老年人认知功能(CF)的改善作用已得到证实。然而,不同水平的PA对CF的影响会随时间有所不同。为给老年人提供更有效的运动处方,我们比较了不同每周活动水平个体的CF差异及神经机制。在本研究中,68名老年人(n = 68,男性 = 47,女性 = 21,年龄 = 62.43 ± 4.36)根据国际体力活动问卷(IPAQ)被分为高运动量PA组(HG)(代谢当量分钟/周 = 1516.64 ± 138.68)、中等运动量PA组(MG)(代谢当量分钟/周 = 1248.02 ± 119.86)和对照组(代谢当量分钟/周 = 846.78 ± 97.53)。比较了三组在停止信号、斯特鲁普和2 - 回溯任务中的差异。还观察了脑电图(EEG)、事件相关电位(ERP)和磁共振成像(MRI)特征。结果显示,对于CF,MG组与HG组相比,2 - 回溯与斯特鲁普任务的表现显著高于对照组(F = 121.45,P < 0.01;F = 88.74,P < 0.01),而反应情况则相反(F = 236.83,P < 0.01;F = 187.64,P < 0.01)。HG组的斯特鲁普任务表现高于MG组(F = 38.78,P = 0.037),停止信号任务表现高于对照组(F = 52.03,P < 0.01)。在EEG方面,HG组静息时的α波段占比高于对照组(F = 41.34,P = 0.040),工作时则相反(F = 25.67,P = 0.046)。尽管其余结果无统计学意义,但PA水平与静息时的中频段β呈反比(对照组 = 8.98 ± 1.02,MG组 = 8.07 ± 0.76,HG组 = 8.13 ± 0.88),与工作时的中频段和高频段β呈正比(中频段β:对照组 = 12.41 ± 2.29, MG组 = 12.98 ± 3.04, HG组 = 13.21 ±2.85;高频段β:对照组 = 6.76 ± 2.23, MG组 = 7.35 ± 1.96, HG组 = 7.91 ± 2.3)。在ERP方面,HG组的N200、P300和N450潜伏期显著短于对照组(F = 44.63,P = 0.041;F = 29.69,P = 0.045;F = 76.48,P < 0.01),MG组只有N450潜伏期短于对照组(F = 59.62,P < 0.01)。在MRI方面,HG组的额中回(MFG)(HG > CG,体素 = 188,t = 3.72)、右侧额上回(RSFG)(HG > CG,体素 = 238,t = 4.07)及左侧扣带回(HG > CG,体素 = 343,t = 4.36)和左侧辅助运动区(LSMA)(HG > CG,体素 = 343,t = 4.36)比对照组激活更多。MG组的MFG(MG > CG,体素 = 172,t = 3.56)、LSMA(MG > CG,体素 = 331,t = 4.28)及海马旁回(PHG)(MG > CG,体素 = 204,t = 3.35)比对照组激活更多。研究得出结论,PA显著增强了老年人的CF,且高运动量PA比中等运动量PA更有效。具体而言,发现高运动量PA在增强个体抑制功能、认知灵活性、工作记忆和反应速度方面比中等运动量PA和低运动量PA显著更有效。这可能归因于ERP波幅增加、潜伏期缩短以及额叶和颞叶区域灰质密度增加。