López-Sanz David, Serrano Noelia, Maestú Fernando
Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Technical University of Madrid (UPM), Madrid, Spain.
Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain.
Front Neurosci. 2018 Aug 15;12:572. doi: 10.3389/fnins.2018.00572. eCollection 2018.
The ever increasing proportion of aged people in modern societies is leading to a substantial increase in the number of people affected by dementia, and Alzheimer's Disease (AD) in particular, which is the most common cause for dementia. Throughout the course of the last decades several different compounds have been tested to stop or slow disease progression with limited success, which is giving rise to a strong interest toward the early stages of the disease. Alzheimer's disease has an extended an insidious preclinical stage in which brain pathology accumulates slowly until clinical symptoms are observable in prodromal stages and in dementia. For this reason, the scientific community is focusing into investigating early signs of AD which could lead to the development of validated biomarkers. While some CSF and PET biomarkers have already been introduced in the clinical practice, the use of non-invasive measures of brain function as early biomarkers is still under investigation. However, the electrophysiological mechanisms and the early functional alterations underlying preclinical Alzheimer's Disease is still scarcely studied. This work aims to briefly review the most relevant findings in the field of electrophysiological brain changes as measured by magnetoencephalography (MEG). MEG has proven its utility in some clinical areas. However, although its clinical relevance in dementia is still limited, a growing number of studies highlighted its sensitivity in these preclinical stages. Studies focusing on different analytical approaches will be reviewed. Furthermore, their potential applications to establish early diagnosis and determine subsequent progression to dementia are discussed.
现代社会中老年人比例的不断增加,导致受痴呆症影响的人数大幅上升,尤其是阿尔茨海默病(AD),它是痴呆症最常见的病因。在过去几十年里,人们测试了几种不同的化合物来阻止或减缓疾病进展,但成效有限,这引发了对疾病早期阶段的浓厚兴趣。阿尔茨海默病有一个漫长且隐匿的临床前期阶段,在此阶段大脑病理变化缓慢积累,直到在前驱期和痴呆期可观察到临床症状。因此,科学界正专注于研究AD的早期迹象,这可能会促成经过验证的生物标志物的开发。虽然一些脑脊液和PET生物标志物已被引入临床实践,但将脑功能的非侵入性测量作为早期生物标志物仍在研究中。然而,临床前期阿尔茨海默病潜在的电生理机制和早期功能改变仍鲜有研究。这项工作旨在简要回顾通过脑磁图(MEG)测量的脑电生理变化领域的最相关发现。MEG已在一些临床领域证明了其效用。然而,尽管其在痴呆症中的临床相关性仍然有限,但越来越多的研究强调了它在这些临床前期阶段的敏感性。将回顾专注于不同分析方法的研究。此外,还讨论了它们在早期诊断和确定随后发展为痴呆症方面的潜在应用。