Quantitative electroencephalogram utility in predicting conversion of mild cognitive impairment to dementia with Lewy bodies

NEUROBIOLOGY OF AGING

卷:36

Article

Bonanni, Laura^1,2  Perfetti, Bernardo^1,2  Bifolchetti, Stefania^1,2  Taylor, John-Paul³  Franciotti, Raffaella^1,4  Parnetti, Lucilla^5,6  Thomas, Astrid^1,2  Onofrj, Marco^1,2 

[1] Univ G DAnnunzio, Dept Neurosci & Imaging, Chieti, Italy

[2] Univ G dAnnunzio, CeSI, Aging Res Ctr, Chieti, Italy

[3] Newcastle Univ, Inst Ageing & Hlth, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

[4] Univ G dAnnunzio, Inst Adv Biomed Technol ITAB, Chieti, Italy

[5] Univ Perugia, Ctr Memory Disturbances, I-06100 Perugia, Italy

[6] Univ Perugia, Alzheimers Ctr, Neurol Sect, I-06100 Perugia, Italy

关键词: Mild cognitive impairment;    Dementia with Lewy bodies;    Quantitative EEG;   

DOI  :  10.1016/j.neurobiolaging.2014.07.009

来源: Elsevier

【 摘 要 】

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. Fortyseven 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%. (C) 2015 The Authors. Published by Elsevier Inc. All rights reserved.

【 授权许可】

Free