Babiloni Claudio, Del Percio Claudio, Lizio Roberta, Noce Giuseppe, Cordone Susanna, Lopez Susanna, Soricelli Andrea, Ferri Raffaele, Pascarelli Maria Teresa, Nobili Flavio, Arnaldi Dario, Aarsland Dag, Orzi Francesco, Buttinelli Carla, Giubilei Franco, Onofrj Marco, Stocchi Fabrizio, Stirpe Paola, Fuhr Peter, Gschwandtner Ute, Ransmayr Gerhard, Caravias Georg, Garn Heinrich, Sorpresi Fabiola, Pievani Michela, Frisoni Giovanni B, D'Antonio Fabrizia, De Lena Carlo, Güntekin Bahar, Hanoğlu Lutfu, Başar Erol, Yener Görsev, Emek-Savaş Derya Durusu, Triggiani Antonio Ivano, Franciotti Raffaella, De Pandis Maria Francesca, Bonanni Laura
Department of Physiology and Pharmacology "Vittorio Erspamer", University of Rome "La Sapienza", Rome, Italy; Institute for Research and Medical Care, IRCCS San Raffaele Pisana, Rome, Italy.
Department of Integrated Imaging, IRCCS SDN, Naples, Italy.
Neurobiol Aging. 2017 Jul;55:143-158. doi: 10.1016/j.neurobiolaging.2017.03.030. Epub 2017 Apr 5.
The aim of this retrospective exploratory study was that resting state eyes-closed electroencephalographic (rsEEG) rhythms might reflect brain arousal in patients with dementia due to Alzheimer's disease dementia (ADD), Parkinson's disease dementia (PDD), and dementia with Lewy body (DLB). Clinical and rsEEG data of 42 ADD, 42 PDD, 34 DLB, and 40 healthy elderly (Nold) subjects were available in an international archive. Demography, education, and Mini-Mental State Evaluation score were not different between the patient groups. Individual alpha frequency peak (IAF) determined the delta, theta, alpha 1, alpha 2, and alpha 3 frequency bands. Fixed beta 1, beta 2, and gamma bands were also considered. rsEEG cortical sources were estimated by means of the exact low-resolution brain electromagnetic source tomography and were then classified across individuals, on the basis of the receiver operating characteristic curves. Compared to Nold, IAF showed marked slowing in PDD and DLB and moderate slowing in ADD. Furthermore, all patient groups showed lower posterior alpha 2 source activities. This effect was dramatic in ADD, marked in DLB, and moderate in PDD. These groups also showed higher occipital delta source activities, but this effect was dramatic in PDD, marked in DLB, and moderate in ADD. The posterior delta and alpha sources allowed good classification accuracy (approximately 0.85-0.90) between the Nold subjects and patients, and between ADD and PDD patients. In quiet wakefulness, delta and alpha sources unveiled different spatial and frequency features of the cortical neural synchronization underpinning brain arousal in ADD, PDD, and DLB patients. Future prospective cross-validation studies should test these rsEEG markers for clinical applications and drug discovery.
这项回顾性探索性研究的目的是，静息闭眼脑电图（rsEEG）节律可能反映阿尔茨海默病痴呆（ADD）、帕金森病痴呆（PDD）和路易体痴呆（DLB）患者的大脑觉醒情况。国际档案中存有42名ADD患者、42名PDD患者、34名DLB患者以及40名健康老年人（Nold）的临床和rsEEG数据。患者组之间的人口统计学、教育程度和简易精神状态评估得分并无差异。个体阿尔法频率峰值（IAF）确定了δ、θ、α1、α2和α3频段。还考虑了固定的β1、β2和γ频段。rsEEG皮质源通过精确低分辨率脑电磁源断层扫描进行估计，然后根据受试者工作特征曲线在个体间进行分类。与Nold相比，IAF在PDD和DLB中显著减慢，在ADD中中度减慢。此外，所有患者组的后α2源活动均较低。这种效应在ADD中显著，在DLB中明显，在PDD中中等。这些组还表现出较高的枕部δ源活动，但这种效应在PDD中显著，在DLB中明显，在ADD中中等。后部δ和α源在Nold受试者与患者之间以及ADD和PDD患者之间实现了良好的分类准确率（约0.85 - 0.90）。在安静觉醒状态下，δ和α源揭示了ADD、PDD和DLB患者大脑觉醒基础上皮质神经同步的不同空间和频率特征。未来的前瞻性交叉验证研究应测试这些rsEEG标记物在临床应用和药物发现中的作用。
