Quantitative EEG as a predictive biomarker for Parkinson disease dementia

被引:166
作者
Klassen, B. T.
Hentz, J. G.
Shill, H. A. [2 ]
Driver-Dunckley, E.
Evidente, V. G. H.
Sabbagh, M. N. [2 ]
Adler, C. H.
Caviness, J. N. [1 ]
机构
[1] Mayo Clin, Dept Neurol, Scottsdale, AZ 85259 USA
[2] Banner Hlth Syst, Banner Sun Hlth Res Inst, Sun City, AZ USA
关键词
MILD COGNITIVE IMPAIRMENT; TEST-RETEST RELIABILITY; CLINICAL-DIAGNOSIS; FREQUENCY-ANALYSIS; FEATURES IMPROVE; ELECTROENCEPHALOGRAM; RIVASTIGMINE; ACCURACY;
D O I
10.1212/WNL.0b013e318224af8d
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: We evaluated quantitative EEG (QEEG) measures as predictive biomarkers for the development of dementia in Parkinson disease (PD). Preliminary work shows that QEEG measures correlate with current PD cognitive state. A reliable predictive QEEG biomarker for PD dementia (PD-D) incidence would be valuable for studying PD-D, including treatment trials aimed at preventing cognitive decline in PD. Methods: A cohort of subjects with PD in our brain donation program utilizes annual premortem longitudinal movement and cognitive evaluation. These subjects also undergo biennial EEG recording. EEG from subjects with PD without dementia with follow-up cognitive evaluation was analyzed for QEEG measures of background rhythm frequency and relative power in delta, theta, alpha, and beta bands. The relationship between the time to onset of dementia and QEEG and other possible predictors was assessed by using Cox regression. Results: The hazard of developing dementia was 13 times higher for those with low background rhythm frequency (lower than the grand median of 8.5 Hz) than for those with high background rhythm frequency (p < 0.001). Hazard ratios (HRs) were also significant for > median theta bandpower (HR = 3.0; p = 0.004) compared to below, and for certain neuropsychological measures. The HRs for delta, alpha, and beta bandpower as well as baseline demographic and clinical characteristics were not significant. Conclusion: The QEEG measures of background rhythm frequency and relative power in the theta band are potential predictive biomarkers for dementia incidence in PD. These QEEG biomarkers may be useful in complementing neuropsychological testing for studying PD-D incidence. Neurology(R) 2011;77:118-124
引用
收藏
页码:118 / 124
页数:7
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