Bonanni Laura, Perfetti Bernardo, Bifolchetti Stefania, Taylor John-Paul, Franciotti Raffaella, Parnetti Lucilla, Thomas Astrid, Onofrj Marco
Department of Neuroscience and Imaging, G. d'Annunzio University, Chieti, Italy; Aging Research Centre, Ce.S.I., G. d'Annunzio University Foundation, Chieti, Italy.
Department of Neuroscience and Imaging, G. d'Annunzio University, Chieti, Italy; Aging Research Centre, Ce.S.I., G. d'Annunzio University Foundation, Chieti, Italy.
Neurobiol Aging. 2015 Jan;36(1):434-45. doi: 10.1016/j.neurobiolaging.2014.07.009. Epub 2014 Jul 15.
Mild cognitive impairment (MCI) as a precursor of dementia with Lewy bodies (DLB) is the focus of recent research, trying to explore the early mechanisms and possible biomarkers of DLB. Quantitative electroencephalogram (QEEG) methods are able to differentiate early DLB from Alzheimer's disease (AD). The aim of the present study was to assess whether QEEG abnormalities, characterized by dominant frequency <8 Hz and dominant frequency variability >1.5 Hz, typical of early DLB, are already present at the stage of MCI and to evaluate whether EEG abnormalities can predict the development of DLB. Forty-seven MCI subjects were followed for 3 years. EEG recordings were obtained at admission and at the end of the study. At the end of follow-up, 20 subjects had developed probable DLB (MCI-DLB), 14 had probable AD (MCI-AD), 8 did not convert to dementia, 5 developed a non-AD/DLB dementia. One hundred percent of MCI-DLB showed EEG abnormalities at admission. Ninety three percent of MCI-AD maintained a normal EEG throughout the study. QEEG may represent a powerful tool to predict the progression from MCI to DLB with a sensitivity and specificity close to 100%.
轻度认知障碍(MCI)作为路易体痴呆(DLB)的前驱症状是近期研究的重点,旨在探索DLB的早期机制和可能的生物标志物。定量脑电图(QEEG)方法能够区分早期DLB和阿尔茨海默病(AD)。本研究的目的是评估以主导频率<8Hz和主导频率变异性>1.5Hz为特征的QEEG异常(这是早期DLB的典型表现)在MCI阶段是否已经存在,并评估脑电图异常是否能够预测DLB的发展。47名MCI受试者被随访了3年。在入院时和研究结束时进行脑电图记录。随访结束时,20名受试者发展为可能的DLB(MCI-DLB),14名患有可能的AD(MCI-AD),8名未发展为痴呆,5名发展为非AD/DLB痴呆。100%的MCI-DLB在入院时表现出脑电图异常。93%的MCI-AD在整个研究过程中脑电图保持正常。QEEG可能是预测从MCI进展为DLB的有力工具,其敏感性和特异性接近100%。