1 Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, Brazil.
2 Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
Brain Connect. 2019 May;9(4):356-364. doi: 10.1089/brain.2019.0663. Epub 2019 Mar 20.
Resting-state functional magnetic resonance imaging has been playing an important role in the study of amyotrophic lateral sclerosis (ALS). Although functional connectivity is widely studied, the patterns of spontaneous neural activity of the resting brain are important mechanisms that have been used recently to study a variety of conditions but remain less explored in ALS. Here we have used fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) to study the regional dynamics of the resting brain of nondemented ALS patients compared with healthy controls. As expected, we found the sensorimotor network with changes in fALFF and ReHo, and also found the default mode network (DMN), frontoparietal network (FPN), and salience network (SN) altered and the cerebellum, although no structural changes between ALS patients and controls were reported in the regions with fALFF and ReHo changes. We show an altered pattern in the spontaneous low-frequency oscillations that is not confined to the motor areas and reveal a more widespread involvement of nonmotor regions, including those responsible for cognition.
静息态功能磁共振成像在肌萎缩侧索硬化症（ALS）的研究中发挥着重要作用。尽管功能连接已被广泛研究，但静息大脑的自发神经活动模式是最近用于研究各种情况的重要机制，但在 ALS 中仍较少探索。在这里，我们使用分数低频振幅（fALFF）和局部一致性（ReHo）来研究非痴呆 ALS 患者与健康对照组之间静息大脑的区域动力学。正如预期的那样，我们发现了感觉运动网络的 fALFF 和 ReHo 变化，并且还发现了默认模式网络（DMN）、额顶叶网络（FPN）和突显网络（SN）改变，尽管在 fALFF 和 ReHo 变化的区域没有报告 ALS 患者和对照组之间的结构变化。我们显示了自发低频振荡模式的改变，这种改变不仅局限于运动区域，而且还揭示了更广泛的非运动区域的参与，包括负责认知的区域。
