de la Cruz Feliberto, Schumann Andy, Rieger Katrin, Güllmar Daniel, Reichenbach Jürgen R, Bär Karl-Jürgen
Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.
Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany.
Aging Brain. 2024 Nov 23;6:100132. doi: 10.1016/j.nbas.2024.100132. eCollection 2024.
The process of healthy aging involves complex alterations in neural structures, with white matter (WM) changes significantly impacting cognitive and motor functions. Conventional methods such as diffusion tensor imaging provide valuable insights, but their limitations in capturing complex WM geometry advocate for more advanced approaches. In this study involving 120 healthy volunteers, we investigated whole-brain WM differences between young and old individuals using a novel technique called fixel-based analysis (FBA). This approach revealed that older adults exhibited reduced FBA-derived metrics in several WM tracts, with frontal areas particularly affected. Surprisingly, age-related differences in FBA-derived measures showed no significant correlation with risk factors such as alcohol consumption, exercise frequency, or pulse pressure but predicted cognitive performance. These findings emphasize FBA's potential in characterizing complex WM changes and the link between cognitive abilities and WM alterations in healthy aging. Overall, this study advances our understanding of age-related neurodegeneration, highlighting the importance of comprehensive assessments that integrate advanced neuroimaging techniques, cognitive evaluation, and demographic factors to gain insights into healthy aging.
健康衰老的过程涉及神经结构的复杂变化,其中白质(WM)的变化对认知和运动功能有显著影响。传统方法如扩散张量成像提供了有价值的见解,但它们在捕捉复杂的WM几何结构方面存在局限性,因此需要更先进的方法。在这项涉及120名健康志愿者的研究中,我们使用一种名为基于固定点分析(FBA)的新技术,研究了年轻人和老年人之间全脑WM的差异。该方法显示,老年人在几个WM束中FBA衍生指标降低,额叶区域受影响尤为明显。令人惊讶的是,FBA衍生测量中与年龄相关的差异与饮酒、运动频率或脉压等危险因素无显著相关性,但可预测认知表现。这些发现强调了FBA在表征复杂WM变化以及健康衰老中认知能力与WM改变之间联系方面的潜力。总体而言,这项研究推进了我们对与年龄相关的神经退行性变的理解,强调了综合评估的重要性,这些评估整合了先进的神经成像技术、认知评估和人口统计学因素,以深入了解健康衰老。