脑电技术在卒中后失语临床研究中的应用进展

doi:10.3969/j.issn.1006-9771.2019.02.004

《中国康复理论与实践》 ›› 2019, Vol. 25 ›› Issue (2): 146-150.doi: 10.3969/j.issn.1006-9771.2019.02.004

脑电技术在卒中后失语临床研究中的应用进展

段怿炜，艾娟娟，樊瑞文, 黄幸，鄢鹤铭，常静玲

北京中医药大学东直门医院神经内科，北京市 100700

收稿日期:2018-12-17 修回日期:2019-01-29 出版日期:2019-02-25 发布日期:2019-04-01
通讯作者: 常静玲。E-mail: ear6979@163.com
作者简介:段怿炜(1991-)，女，汉族，山东淄博市人，硕士研究生，主要研究方向：中医药防治脑病的临床与神经电生理学实验研究。
基金资助:
1.国家自然科学基金面上项目(No. 81473654)；2.北京市自然基金重点项目(No. 7181005)；3.中央高校基本科研业务费专项资金资助项目(No. 2018-JYBZZ-XS174)

Advance in Application of Electroencephalogram for Post-stroke Aphasia (review)

DUAN Yi-wei, AI Juan-juan, FAN Rui-wen, HUANG Xing, YAN He-ming, CHANG Jing-ling

Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China

Received:2018-12-17 Revised:2019-01-29 Published:2019-02-25 Online:2019-04-01
Contact: CHANG Jing-ling. E-mail: ear6979@163.com
Supported by:
National Natural Science Foundation of China (General) (No. 81473654), Beijing Natural Science Foundation (No. 7181005) and Fundamental Research Funds for the Central Universities (No. 2018-JYBZZ-XS174)

摘要/Abstract

摘要： 脑电信号包含丰富的生理、病理信息。随着脑电分析技术的发展，脑电技术能测量受损语言处理过程中亚秒级的神经动力学，为揭示卒中后失语的发生、发展和恢复机制提供新视角，在卒中后失语神经调节康复目标设定及临床康复方法疗效评估发挥重要作用。

关键词: 脑电图, 卒中后失语, 康复, 综述

Abstract: Electroencephalogram (EEG) contains abundant physiological and pathological information. With the development of analysis, EEG can measure the neurodynamics at the sub-second level during impaired speech processing, providing a new perspective for revealing the occurrence, development and recovery mechanism of post-stroke aphasia. EEG plays an important role in the goal setting of rehabilitation for post-stroke aphasia, and serves as an evaluation of the efficacy for clinical rehabilitation.

Key words: electroencephalogram, post-stroke aphasia, rehabilitation, review

中图分类号:

R743.3

段怿炜, 艾娟娟, 樊瑞文, 黄幸, 鄢鹤铭, 常静玲. 脑电技术在卒中后失语临床研究中的应用进展[J]. 《中国康复理论与实践》, 2019, 25(2): 146-150.

DUAN Yi-wei, AI Juan-juan, FAN Rui-wen, HUANG Xing, YAN He-ming, CHANG Jing-ling. Advance in Application of Electroencephalogram for Post-stroke Aphasia (review)[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2019, 25(2): 146-150.

参考文献

[1] Ryck A D , Brouns R , Fransen E, et al. A prospective study on the prevalence and risk factors of poststroke depression [J]. Cerebrovasc Dis Extra, 2013, 3(1): 1-13.
[2] 高素荣. 失语症 [M]. 2版. 北京:北京大学医学出版社, 2006.
[3] Kauhanen M L, Korpelainen J T, Hiltunen P, et al. Aphasia, depression, and non-verbal cognitive impairment in ischaemic stroke [J]. Cerebrovasc Dis, 2000, 10(6): 455-461.
[4] Donnellan C, Hickey A, Hevey D, et al. Effect of mood symptoms on recovery one year after stroke [J]. Int J Geriatr Psychiatry, 2010, 25(12): 1288-1295.
[5] 王爱琴,常静玲. 脑卒中后失语的语言功能中西医评价方法探讨[J]. 中华中医药杂志, 2014, 29(9): 2899-2902.
[6] 萧演清,汪洁,张大华,等. 不同言语加工水平受损的汉语失语症患者治疗前后的事件相关电位变化[J]. 中国康复医学杂志, 2017, 31(1): 53-58.
[7] Carlino E, Sigaudo M, Pollo A, et al. Nonlinear analysis of electroencephalogram at rest and during cognitive tasks in patients with schizophrenia [J]. J Psychiatry Neurosci, 2012, 37(4): 259.
[8] 张焱,贡京京,宋华淼. 事件相关电位在脑力疲劳研究中的应用[J]. 中国健康心理学杂志, 2014, 22(9): 1437-1439.
[9] 王穗苹,黄时华,杨锦绵. 语言理解的ERP研究[J]. 华南师范大学学报(社会科学版), 2004(6): 107-113.
[10] Huang W J, Chen W W, Zhang X. The neurophysiology of P300－an integrated review [J]. Eur Rev Med Pharmacol Sci, 2015, 19(8): 1480-1488.
[11] Stahlhut L, Grotemeyer K H, Husstedt I W, et al. The impact of stroke on cognitive processing － a prospective event-related potential study [J]. J Neurol Sci, 2014, 339(1-2): 157-163.
[12] 贾花萍,赵俊龙. 脑电信号分析方法与脑机接口技术[M]. 北京:科学出版社, 2018.
[13] Lotte F, Bougrain L, Cichocki A, et al. A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update [J]. J Neural Eng, 2018, 15(3): 031005.
[14] Pardey J, Roberts S, Tarassenko L. A review of parametric modelling techniques for EEG analysis [J]. Med Eng Phys, 1996, 18(1): 2.
[15] Bo H. EEG analysis based on time domain properties [J]. Electroencephalogr Clin Neurophysiol, 1970, 29(3): 306-310.
[16] Vahid A, Mohammad Hassan M, Mohammad Ali K. A new approach for EEG feature extraction in P300-based lie detection [J]. Comput Methods Programs Biomed, 2009, 94(1): 48-57.
[17] Doyle J C, Ornstein R, Galin D. Lateral specialization of cognitive mode: II. EEG frequency analysis [J]. Psychophysiology, 2010, 11(5): 567-578.
[18] Fingelkurts A A, Fingelkurts A A. Topographic mapping of rapid transitions in EEG multiple frequencies: EEG frequency domain of operational synchrony [J]. Neurosci Res, 2010, 68(3): 207-224.
[19] Medl A. Time frequency and wavelets in biomedical signal processing [J]. IEEE Eng Med Biol, 1998, 17(6): 15-97.
[20] Roach B J, Mathalon D H. Event-related EEG time-frequency analysis: an overview of measures and an analysis of early gamma band phase locking in schizophrenia [J]. Schizophr Bull, 2008, 34(5): 907.
[21] Lehnertz K, Andrzejak R G, Arnhold J, et al. Nonlinear EEG analysis in epilepsy: its possible use for interictal focus localization, seizure anticipation, and prevention [J]. J Clin Neurophysiol, 2001, 18(3): 209.
[22] 李颖洁,邱意弘,朱贻盛. 脑电信号分析方法及其应用[M]. 北京:科学出版社, 2009.
[23] Nigam V P, Graupe D. A neural-network-based detection of epilepsy [J]. Neurol Res, 2004, 26(1): 55-60.
[24] Inan G, Elif Derya U. Multiclass support vector machines for EEG-signals classification [J]. IEEE Trans Inf Technol Biomed, 2007, 11(2): 117-126.
[25] Meinzer M, Beeson P M, Cappa S, et al. Neuroimaging in aphasia treatment research: Consensus and practical guidelines for data analysis [J]. Neuroimage, 2013, 73(8): 215-224.
[26] Cuspineda E R, Virues C M. Source analysis of alpha rhythm reactivity using LORETA imaging with 64-channel EEG and individual MRI [J]. Clin EEG Neurosci, 2009, 40(3): 150-156.
[27] Westlake K P, Hinkley L B, Bucci M, et al. Resting state alpha-band functional connectivity and recovery after stroke [J]. Exp Neurol, 2012, 237(1): 160-169.
[28] Beharelle A R, Kova?evi? N, Mcintosh A R, et al. Brain signal variability relates to stability of behavior after recovery from diffuse brain injury [J]. Neuroimage, 2012, 60(2): 1528-1537.
[29] Chu R K, Braun A R, Meltzer J A. MEG-based detection and localization of perilesional dysfunction in chronic stroke [J]. Neuroimage Clin, 2015, 8: 157-169.
[30] Gow D J, Ahlfors S P. Tracking reorganization of large-scale effective connectivity in aphasia following right hemisphere stroke [J]. Brain Lang, 2017, 170: 12-17.
[31] 常静玲,高颖. 英国2014年《失语的认知神经心理学评估与治疗:临床指南》解读[J]. 中国康复医学杂志, 2018, 33(8): 966-969.
[32] Laine M, Martin N. Cognitive neuropsychology has been, is, and will be significant to aphasiology [J]. Aphasiology, 2012, 26(11): 1362-1376.
[33] 常静玲,张斌龙,谭中建,等. 基于汉语高频名词下词图匹配语义判断任务的设计与运用范式[J]. 中国康复理论与实践, 2018, 24(8): 917-923.
[34] Robson H, Pilkington E, Evans L, et al. Phonological and semantic processing during comprehension in Wernicke's aphasia: an N400 and phonological mapping negativity study [J]. Neuropsychologia, 2017, 100: 144-154.
[35] 樊瑞文,常静玲. 脑卒中后失语事件相关电位N400语言任务范式探讨[J]. 中国康复医学杂志, 2018, 33(7): 869-873.
[36] Naeser M A, Martin P I, Kristine L, et al. Improved language in a chronic nonfluent aphasia patient after treatment with CPAP and TMS [J]. Cogn Behav Neurol, 2010, 23(1): 29-38.
[37] Singh T, Phillip L, Behroozmand R, et al. Pre-articulatory electrical activity associated with correct naming in individuals with aphasia [J]. Brain Lang, 2018, 177-178: 1-6.
[38] Lucchese G, Pulvermuller F, Stahl B, et al. Therapy-induced neuroplasticity of language in chronic post stroke aphasia: a mismatch negativity study of (a) grammatical and meaningful/less mini-constructions [J]. Front Hum Neurosci, 2016, 10: 669.
[39] Bruce C, Keith M G, Gopinath K S, et al. Functional MRI of language in aphasia: a review of the literature and the methodological challenges [J]. Neuropsychol Rev, 2007, 17(2): 157-177.
[40] Piai V, Meyer L, Dronkers N F, et al. Neuroplasticity of language in left-hemisphere stroke: evidence linking subsecond electrophysiology and structural connections [J]. Hum Brain Mapp, 2017, 38(6): 3151-3162.
[41] Wu D Y, Cai G, Yuan Y, et al. Application of nonlinear dynamics analysis in assessing unconsciousness: a preliminary study [J]. Clin Neurophysiol, 2011, 122(3): 490-498.
[42] Molina-Pico A, Cuesta-Frau D, Aboy M, et al. Comparative study of approximate entropy and sample entropy robustness to spikes [J]. Artif Intell Med, 2011, 53(2): 97-106.
[43] Wu D, Wang J, Yuan Y. Effects of transcranial direct current stimulation on naming and cortical excitability in stroke patients with aphasia [J]. Neurosci Lett, 2015, 589: 115-120.
[44] 吴钢,阳洪,潘丽雅. 重复经颅磁刺激治疗左半球脑梗死失语的效果及作用机制[J]. 山东医药, 2017, 57(37): 65-67.
[45] Sarasso S, Maatta S, Ferrarelli F, et al. Plastic changes following imitation-based speech and language therapy for aphasia: a high-density sleep EEG study [J]. Neurorehabil Neural Repair, 2014, 28(2): 129-138.
[46] Ofek E, Purdy S C, Ali G, et al. Processing of emotional words after stroke: an electrophysiological study [J]. Clin Neurophysiol, 2013, 124(9): 1771-1778.
[47] Sameni R, Gouy-Pailler C. An iterative subspace denoising algorithm for removing electroencephalogram ocular artifacts [J]. J Neurosci Methods, 2014, 225(4): 97-105.

脑电技术在卒中后失语临床研究中的应用进展

Advance in Application of Electroencephalogram for Post-stroke Aphasia (review)

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