Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Denmark.
Regional Dementia Research Centre, Department of Neurology, Zealand University Hospital, Roskilde, Denmark.
J Alzheimers Dis. 2019;68(3):947-960. doi: 10.3233/JAD-181081.
Mild cognitive impairment (MCI) is associated with clinical progression to Alzheimer's disease (AD) but not all patients with MCI convert to AD. However, it is important to have methods that can differentiate between patients with MCI who progress (pMCI) and those who remain stable (sMCI), i.e., for timely administration of disease-modifying drugs.
In the current study, we wanted to investigate whether quantitative EEG coherence and imaginary part of coherency (iCoh) could be used to differentiate between pMCI and sMCI.
17 patients with AD, 27 patients with MCI, and 38 older healthy controls were recruited and followed for three years and 2nd year was used to determine progression. EEGs were recorded at baseline and coherence and iCoh were calculated after thorough preprocessing.
Between pMCI and sMCI, the largest difference in total coherence was found in the theta and delta bands. Here, the significant differences for coherence and iCoh were found in the lower frequency bands involving the temporal-frontal connections for coherence and parietal-frontal connections for iCoh. Furthermore, we found a significant negative correlation between theta coherence and the Addenbrooke's Cognitive Examination (ACE) (p = 0.0378; rho = -0.2388).
These findings suggest that low frequency coherence and iCoh can be used to determine, which patients with MCI will progress to AD and is associated with the ACE score. Low-frequency coherence has previously been associated with increased hippocampal atrophy and degeneration of the cholinergic system and may be an early marker of AD pathology.
轻度认知障碍(MCI)与向阿尔茨海默病(AD)的临床进展相关,但并非所有 MCI 患者都会发展为 AD。然而,拥有能够区分进展性 MCI(pMCI)和稳定性 MCI(sMCI)患者的方法很重要,即及时给予疾病修饰药物。
本研究旨在探讨定量脑电图相干性和虚部相干性(iCoh)是否可用于区分 pMCI 和 sMCI。
招募了 17 名 AD 患者、27 名 MCI 患者和 38 名老年健康对照者,并对其进行了三年的随访,第二年用于确定进展情况。在基线时记录 EEG,并在彻底预处理后计算相干性和 iCoh。
在 pMCI 和 sMCI 之间,θ和δ频段的总相干性差异最大。在这些频段中,相干性和 iCoh 的差异具有统计学意义,涉及到颞叶-额叶的相干性和顶叶-额叶的 iCoh。此外,我们发现θ相干性与 Addenbrooke 认知评估(ACE)评分呈显著负相关(p=0.0378;rho=-0.2388)。
这些发现表明,低频相干性和 iCoh 可用于确定哪些 MCI 患者会进展为 AD,且与 ACE 评分相关。低频相干性先前与海马萎缩增加和胆碱能系统退化相关,可能是 AD 病理的早期标志物。