Nayak Siddharth, Wagshul Mark E, Holtzer Roee
Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Gruss Magnetic Resonance Research Center, Bronx, NY, USA.
Geroscience. 2025 Sep 10. doi: 10.1007/s11357-025-01854-9.
Cognitive decline is common in multiple sclerosis (MS), although neural mechanisms are not fully understood. The objective was to investigate the impact of mild cognitive impairment (MCI) on the relationship between resting state functional connectivity (RSFC) and cognitive function in older adults with multiple sclerosis (OAMS) and age matched healthy controls. Participants underwent magnetic resonance imaging (MRI) scans and cognitive assessments. The Oral Symbol Digit Modalities Test (SDMT) was the outcome measure. Multiple linear regressions examined the relationship between RSFC networks and SDMT performance across the cohort and within group-specific analyses. These analyses were repeated with MCI as a moderator. Adjusted analyses showed that better SDMT performance correlated significantly with higher RSFC in sensorimotor (p = 0.01), left frontoparietal (p = 0.027), and salience (p = 0.047) networks. Stratified analyses showed significant positive associations for the OAMS group in medial visual (p = 0.007) and sensorimotor (p = 0.018) networks. Among OAMS, MCI moderated the association between RSFC and SDMT performance in the posterior default mode (p = 0.016) and subcortical (p = 0.042) networks, while no significant moderation effects were observed for the control group. Higher RSFC in brain networks correlates with better cognition in aging, but this relationship is modified in the presence of MS and MCI.
认知功能衰退在多发性硬化症(MS)中很常见,尽管其神经机制尚未完全明确。本研究旨在调查轻度认知障碍(MCI)对老年多发性硬化症患者(OAMS)及年龄匹配的健康对照者静息态功能连接(RSFC)与认知功能之间关系的影响。参与者接受了磁共振成像(MRI)扫描和认知评估。以口语符号数字模式测验(SDMT)作为结果指标。通过多元线性回归分析了整个队列以及特定组内分析中RSFC网络与SDMT表现之间的关系。以MCI作为调节变量重复进行了这些分析。校正分析显示,在感觉运动网络(p = 0.01)、左侧额顶叶网络(p = 0.027)和突显网络(p = 0.047)中,SDMT表现越好与RSFC越高显著相关。分层分析显示,OAMS组在内侧视觉网络(p = 0.007)和感觉运动网络(p = 0.018)中存在显著的正相关。在OAMS中,MCI调节了后默认模式网络(p = 0.016)和皮质下网络(p = 0.042)中RSFC与SDMT表现之间的关联,而对照组未观察到显著的调节作用。大脑网络中较高的RSFC与衰老过程中较好的认知功能相关,但在存在MS和MCI的情况下这种关系会发生改变。