|
|
|
Abstract Alzheimer′s disease (AD) is a typical brain cognitive dysfunction, having serious impacts on the patient′s work and life. Early diagnosis of this disease has been one important issue that attracts intense attention and also a meaningful work. EEG contains a lot of functional information in favor of early diagnosis of brain cognitive dysfunction. Our study based on the pathogenesis of AD summed up the conventional diagnostic methods of AD, and further reviewed the current situation of the EEG analysis method, such as the EEG power spectrum, evoked potentials, approximate entropy and complexity, etc. The perspective in this field was discussed as well.
|
|
|
|
|
|
［1］Schellenberg GD, Montine TJ. The genetics and neuropathology of Alzheimer′s Disease ［J］. Acta Neuropathologica, 2012, 124(3): 305-323.
［2］Lockhart BP, Lestage PJ. Cognition enhancing or neuroprotective compounds for the treatment of congnitive disorders: why?when?which? ［J］. Exp Gerontol, 2003, 38(1/2): 119-129.
［3］Zhao Shengjie, Liu Gonglu, Shen Yuan, et al. Reasonable neuropsychological battery to identify mild cognitive impairment ［J］. Medical Hypotheses, 2011, 76: 50-53.
［4］Wua Caili, Paul Dagga, Carmen Molgat. A pilot study to measure cognitive impairment in patients with severe schizophrenia with the Montreal cognitive assessment (MoCA) ［J］. Schizophrenia Research, 2014, 158: 151-155.
［5］Carlino E, Sigaudo M, Pollo A, et al. Nonlinear analysis of electroencephalogram at rest and during cognitive tasks in patients with schizophrenia［J］. Journal of Psychiatry & Neuroscience: JPN, 2012, 37(4): 259-266.
［6］Tahaei MS, Jalili M, Knyazeva MG. Synchronizability of EEGbased functional networks in early alzheimer′s disease ［J］. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2012, 20: 636-641.
［7］Lopez ME, Cuesta P, Garces P, et al. MEG spectral analysis in subtypes of mild cognitive impairment ［J］. International Journal of Alzheimer′s Disease,2014, 36(3): 1095-1112.［8］万柏坤，陈骞，綦宏志. 早老性痴呆的脑电复杂度与近似熵特征分析 ［J］. 北京生物医学工程, 2005, 24(2): 103-107.
［9］倪建良, 杨华, 孙毅, 等. 遗忘型轻度认知损害脑电功率值变化分析 ［J］. 浙江医学, 2012, 34(10): 793-798.
［10］Nishida K, Yoshimura M, Isotani T, et al. Differences in quantitative EEG between frontotemporal dementia and Alzheimer′s disease as revealed by LORETA ［J］. Clinical Neurophysiology, 2011, 122: 1718-1725.
［11］Wang Ruofan, Wang Jiang, Yu Haitao, et al. Decreased coherence and functional connectivity of electroencephalograph in Alzheimer′s disease ［J］. Chaos, 2014, 24(3): 033136.
［12］Koenig T, Prichep L, Dierks T, et al. Decreased EEG synchronization in Alzheimer′s disease and mild cognitive impairment ［J］. Neurobiology of Aging, 2005, 26: 165-171.
［13］Knyazeva MG, Carmeli C, Khadivi A, et al. Evolution of source EEG synchronization in early Alzheimer′s disease ［J］. Neurobiol Aging, 2013, 34(3): 694-705.
［14］Xu Qing, Xu Wenwei, Zhang Yuqi, et al. The character of quantitative EEG in patients with Alzheimer′s disease ［J］. China Journal of Health Psychology, 2013, 16(8A): 2584-2589.
［15］Fonseca LC, Tedrus GMAS, Carvas PN, et al. Comparison of quantitative EEG between patients with Alzheime
r′s disease and those with Parkinson′s disease dementia ［J］. Clinical Neurophysiology, 2013, 124(10): 1970-1974.
［16］Hassainia F, Petit D, Nielsen T, et al. Quantitative EEG and statistical mapping of wakefulness and REM sleep in the evaluation of mild to moderate Alzheimer〖DK〗′s disease ［J］. Eur Neurol, 1997, 37(4): 219-224.
［17］Brazète JR, Montplaisir J, Petit D, et al. Electroencephalogram slowing in rapid eye movement sleep behavior disorder is associated with mild cognitive impairment［J］. Sleep Medicine, 2013, 14: 1059-1063.
［18］Chandran V. Timevarying bispectral analysis of auditory evoked multichannel scalp EEG ［C］ //The 11th International Conference on Information Science, Signal Processing and their Applications(ISSPA). Montreal:IEEE,2012: 205-212.
［19］N R, Kujalac T, Escera C, et al. The mismatch negativity(MMN)—A unique window to disturbed central auditory processing in ageing and different clinical conditions ［J］. Clinical Neurophysiology, 2012, 123: 424-458.
［20］Howe AS, Fatemi AB, Luca VD. The clinical utility of the auditory P300 latency subcomponent eventrelated potential in preclinical diagnosis of patients with mild cognitive impairment and Alzheimer′s disease ［J］. Brain and Cognition, 2014, 86: 64-74.
［21］Olichney J. Test\|retest reliability and stability of N400 effects: Implications for the study of neuropsychiatric and cognitive disorders ［J］. Clinical Neurophysiology, 2013, 124: 634-635.
［22］Picóa AM, Fraua DC, Aboy M, et al. Comparative study of approximate entropy and sample entropy robustness to spikes ［J］. Artificial Intelligence in Medicine, 2011, 53: 97-106.
［23］Aba′soloa D, Horneroa R, Espinob P, et al. Analysis of regularity in the EEG background activity of Alzheimer′s disease patients with Approximate Entropy ［J］. Clinical Neurophysiology, 2005, 116: 1826-1834.
［24］Houmani N, Vialatte FB, Latchoumane C, et al. Stationary epochbased entropy estimation for early diagnosis of Alzheimer′s disease ［C］//2013 IEEE Faible Tension Faible Consommation Conference. Paris: IEEE,2013: 1-4.
［25］Domenico L, Fabio LF, Giuseppe M, et al. Entropic measures of EEG complexity in alzheimer′s disease through a multivariate multiscale approach ［J］. IEEE Sensors Journal, 2013, 13: 3284-3292.
［26］Morison G, Tieges Z, Kilborn K. Multiscale permutation statistical complexity measure analysis of EEG in patients with mild Alzhemer′s disease ［J］. Alzheimer′s & Dementia, 2013, 9(4): 279.
［27］Yang A C, Wang S J, Lai K L. et al. Cognitive and neuropsychiatric correlates of EEG dynamic complexity in patients with Alzheimer′s disease ［J］. Progress in NeuroPsychopharmacology & Biological Psychiatry, 2013, 47(1): 52-61.
［28］Staudinger T,Polikar R. Analysis of complexity based EEG features for the diagnosis of Alzheimer′s disease ［C］ //Proceedings of 3rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).Boston:IEEE,2011: 2033-2036.
［29］祝本菊. 基于复杂度分析的阿尔茨海默病、轻度认知功能障碍与正常老年人的脑电研究 ［D］. 天津：天津医科大学，2012.
［30］Pritchard WS, Duke DW, Coburn KL. Altered EEG dynamical responsivity associated with normal aging and probable Alzheimer′s disease ［J］. Dementia, 1991, 2(2): 102-105.
［31］Jelles B, Scheltens P, van der Flier WM, et al. Global dynamical analysis of the EEG in Alzheimer′s disease: frequencyspecific changes of functional interactions ［J］. Clin Neurophysiol, 2008, 119: 837-841.
［32］万柏坤，程龙龙，赵翔，等. 脑电多极子模型在老年性痴呆诊断中的应用 ［J］. 自然科学进展, 2007, 17(10): 1338-1344.
|
| [1] |
Liu Shuang, Tong Jingjing, Yang Jiajia, Qi Hongzhi, Ming Dong. Study on Emotion Recognition with Integrating EEG Homologous Samples Method[J]. Chinese Journal of Biomedical Engineering, 2016, 35(3): 272-277. |
| [2] |
Liu Fang, Kong Wei, Mou Xiaoyang. Exploration of Pathogenesis in Immune System of Breast Cancer and Alzheimer′s Disease Based on Mutual Information[J]. Chinese Journal of Biomedical Engineering, 2016, 35(3): 292-300. |
|
|
|
