Babiloni Claudio, Benussi Luisa, Binetti Giuliano, Cassetta Emanuele, Dal Forno Gloria, Del Percio Claudio, Ferreri Florinda, Ferri Raffaele, Frisoni Giovanni, Ghidoni Roberta, Miniussi Carlo, Rodriguez Guido, Romani Gian Luca, Squitti Rosanna, Ventriglia Maria Carla, Rossini Paolo M
Dipartimento di Fisiologia Umana e Farmacologia, Universitá La Sapienza, Rome, Italy.
Ann Neurol. 2006 Feb;59(2):323-34. doi: 10.1002/ana.20724.
Relationships between the apolipoprotein E epsilon4 allele and electroencephalographic (EEG) rhythmicity have been demonstrated in Alzheimer's disease (AD) patients but not in the preclinical stage prodromic to it, namely, mild cognitive impairment (MCI). The present multicentric EEG study tested the hypothesis that presence of epsilon4 affects sources of resting EEG rhythms in both MCI and AD subjects.
We enrolled 89 MCI subjects (34.8% with epsilon4) and 103 AD patients (50.4% with epsilon4). Resting eyes-closed EEG data were recorded for all subjects. EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography.
Results showed that amplitude of alpha 1 and 2 sources in occipital, temporal, and limbic areas was lower in subjects carrying the epsilon4 allele than in those not carrying the epsilon4 allele (p < 0.01). This was true for both MCI and AD. For the first time to our knowledge, a relationship was shown between ApoE genotype and global neurophysiological phenotype (ie, cortical alpha rhythmicity) in a preclinical AD condition, MCI, in addition to clinically manifest AD.
Such a demonstration motivates future genotype-EEG phenotype studies for the early prediction of AD conversion in individual MCI subjects.
载脂蛋白Eε4等位基因与脑电图(EEG)节律性之间的关系已在阿尔茨海默病(AD)患者中得到证实,但在其临床前阶段,即轻度认知障碍(MCI)中尚未得到证实。本项多中心脑电图研究检验了ε4的存在会影响MCI和AD受试者静息EEG节律来源的假设。
我们招募了89名MCI受试者(34.8%携带ε4)和103名AD患者(50.4%携带ε4)。记录了所有受试者闭眼静息状态下的EEG数据。感兴趣的EEG节律为δ波(2 - 4Hz)、θ波(4 - 8Hz)、α1波(8 - 10.5Hz)、α2波(10.5 - 13Hz)、β1波(13 - 20Hz)和β2波(20 - 30Hz)。通过低分辨率脑电磁断层扫描估计EEG皮质源。
结果显示,携带ε4等位基因的受试者枕叶、颞叶和边缘区域的α1和α2源振幅低于未携带ε4等位基因的受试者(p < 0.01)。MCI和AD受试者均是如此。据我们所知,除了临床确诊的AD外,首次在临床前AD状态MCI中显示了载脂蛋白E基因型与整体神经生理表型(即皮质α节律性)之间的关系。
这一发现推动了未来针对个体MCI受试者AD转化早期预测的基因型 - EEG表型研究。