严重意识障碍患者对唤名和音乐刺激的脑电反应研究

doi:10.3969/j.issn.0258-8021. 2013. 04.09

Abstract
Figure/Table
References (0)
Related Citation (7)

Download: PDF (817 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Patient’s own name and music stimulations are the most commonly used means in clinical awaking therapy for patients in vegetative state (VS) and minimally conscious state (MCS). Therefore, to explore the mechanism of patient's brain EEG response to those different sound stimulations is of great value in clinical practice. In this paper, to compare the EEG responses to the different sound stimulations in the vegetative and minimally conscious states, 33 patients with severe consciousness disorder were selected in the study. Changes of EEG’s wavelet energy value before and after the stimulations lasting 60 s were calculated and statistically analyzed using wavelet transform method under 3 different sounds stimulations. Results showed that for MCS state, EEG energy change under patient’s own name stimulation ( mean value was 3.839) was greater than both other subject’s name stimulation (mean value was 1.609 with P<0.05 vs patient’s own name ) and Chinese classical music stimulation (mean value was 1.937 with P<0.05 vs patient’s own name); for VS state, it was also showed that EEG energy change under patients’s own name stimulation (mean values was 2.873 ) was greater than other subject’s name stimulation(mean value was 1.443 with P<0.05 vs patient’s own name) and Chinese classical music stimulation (mean value was 1.263 with P<0.05 vs patient’s own name). In conclusion, patients in MCS state or VS state, EEG energy change under patient‘s own name stimulation was greater than other subject’s name stimulation and Chinese classical music stimulation; Patients in MCS state produced a greater EEG response than those in VS state under the sound stimulations. This study provided a experimental foundation for the clinical awaking therapy by means of patients own name and music stimulations for patients in the vegetative and minimally conscious states.

Key words： disorder of consciousness(DOC) EEG wavelet analysis subject’s own name music

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	BAI Lu^1#YANG Wen Wei^1#LI Yi¹LI Jing Qi²SHEN Cai Xian^1Xu Wei Dong^1YANG Yong^1

Cite this article:

BAI Lu^1#YANG Wen Wei^1#LI Yi¹LI Jing Qi²SHEN Cai Xian^1Xu Wei Dong^1YANG Yong^1. EEG Response to Patients Own Name and Music in Severe Disorders of Consciousness[J]. journal1, 2013, 32(4): 440-447.

URL:

http://cjbme.csbme.org/EN/ 10.3969/j.issn.0258-8021. 2013. 04.09 OR http://cjbme.csbme.org/EN/Y2013/V32/I4/440

［1］Kotchoubey B, Lang S, Mezger G, et al. Information processing in severe disorders of consciousness: Vegetative state and minimally conscious state［J］. Clinical Neurophysiology, 2005,116 :2441-2453.
［2］Gosseries O, Schnakers C, Ledoux D，et al. Automated EEG entropy measurements in coma, vegetative state/ unresponsive wakefulness syndrome and minimally conscious state［J］. Functional Neurology,2011,26(1): 25-30.
［3］Lancioni GE, Bosco A, Belardinelli MO, et al. An overview of intervention options for promoting adaptive behavior of persons with acquired brain injury and minimally conscious state［J］. Research in Developmental Disabilities, 2010 ,31:1121-1134.
［4］Hirata S, Matsuda G, Ueno A, et al. Eventrelated potentials in response to subjects’ own names: A comparison between humans and a chimpanzee［J］. Communicative & Integrative Biology,2011,4(3):321-323.
［5］Ficher C, Dailler F, Morlet D, et al. Novelty P3 elicited by the subjects own name in comatose patients［J］. Clinical Neurophysiology,2008,119:2224-2230.
［6］Fischer C, Luaute J, Morlet D, et al. Eventrelated potentials (MMN and novelty P3) in permanent vegetative or minimally conscious states［J］. Clinical Neurophysiology,2010,121:1032-1042.
［7］Qin Pengmin, Di Haibo, Yan Xiaodan, et al. Mismatch negativity to the patient’s own name in chronic disorders of consciousness［J］. Neuroscience Letters, 2008,448: 24-28.
［8］Holeekova I, Fischer C, Giard MH, et al. Brain response to a subject’s own name uttered by a familiar voice［J］. Brain Res, 2006,1082:142-152.
［9］Laureys S, Perrin F, Faymonville ME, et al. Cerebral processing in the minimally consciousstate［J］. Neurology, 2004, 63:916-918. 
［10］Fischer C, Morlet D, Boucher P, et al. Mismatch negativity and late auditory evoked potentials in comatose patients［J］. Clinical Neurophysiology, 1999, 110:1601- 1610.
［11］Di Haibo, Yu Senming,Weng Xuchu, et al. Cerebral response to patient’s own name in the vegetative and minimally conscious states［J］. NEUROLOGY,2007, 68: 895- 899.
［12］Goto Y, Noda R, Ichikawa N, et al. Cerebral circulation of consciousness disorder patient using nearinfrared spectroscopic topography during brain rehabilitation by music exercise therapy［J］. International Congress Series,2002 ,1232:549-554.
［13］Noda S, Maeda Y, et al. Therapeutic time window for musicokinetic therapy across the lifespan［J］. Brain Injury 2004,18: 509-515.
［14］Federico DM, Aline WB, Giancarlo V, et al. Predicting EEG single trial responses with simultaneous fMRI and Relevance Vector Machine regression［J］. NeuroImage, 2011,56:826-836.
［15］Jox RJ, Bernat JL, Laureys S, et al. Disorders of consciousness: responding to requests for novel diagnostic and therapeutic interventions［J］. Lancet Neurol, 2012, 11:737-738.
［16］Blankertz B, Lemm S, Treder M, et al. Singletrial analysis and classification of ERP componentsA tutorial［J］. NeuroImage,2011,56:814-825. 
［17］Christophe LP, Bruno MA, Pierre M, et al. “Relevance vector machine” consciousness classifier applied to cerebral metabolism of vegetative and lockedin patients［J］. NeuroImage,2011,56:797-808.
［18］孙延奎编著.小波分析及其应用［M］. 北京:机械工业出版社,200531-117.
［19］Giacino JT, Kalmar K, Whyte J. The JFK Coma Recovery ScaleRevised: measurement characteristics and diagnostic utility［J］. Arch Phys Med Rehabil 2004, 85: 2020-2029.［20］Schnakers C, Majerus S, Giacino J, et al. A French validation study of the Coma Recovery ScaleRevised (CRSR) ［J］.Brain Inj,2008,22:786-792.
［21］吴东宇，彭享胜，刘霖，等. 近似熵和互近似熵脑电非线性分析在意识障碍评价中的应用［J］. 中国康复医学杂志,2008,23(8): 697-699.
［22］李哲，汤永隆，邓丽俐，等. 中西方古典音乐放松效果及生理唤醒对比［J］. 西南师范大学学报，2009，34(5)：195-200.
［23］葛哲学，陈仲生主编. Matlab时频分析技术及其应用［M］. 人民邮电出版社，北京:2006236-260.
［24］John R. Hughes 著，马仁飞译. 临床实用脑电图学［M］. 第2版. 北京:人民卫生出版社. 1997 15.
［25］Gandhi T, Panigrahi BK, Anand S. A comparative study of wavelet families for EEG signal classification［J］. Neurocomputing 2011,74: 3051-3057.
［26］王甦，汪安圣. 认知心理学［M］. 北京:北京大学出版社,200650-75.
［27］Perrin F, Maquet P, Peigneux P, et al. Neural mechanisms involved in the detection of our rst name: a combined ERPs and PET study［M］. Neuropsychologia, 2005, 43:12-19.
［28］Magee WL. Music therapy with patients in low awareness states: Approaches to assessment and treatment in multidisciplinary care［J］. Neuropsychological Rehabilitation, 2005,15:522-536.
［29］Yen BS, Wang Huimin, Hou MC, et al.The Relationship between music processing and electrocardiogram (ECG) in vegetative state (VS) in circuits and systems (ISCAS)［C］//Proceedings of 2010 IEEE International Symposium on circuits and systems, 2010: 2239-2242. 
［30］Goto Y, Noda R, Ichikawa N, et al. Cerebral circulation of consciousness disorder patient using nearinfrared spectroscopic topography during brain rehabilitation by music exercise therapy［J］. International Congress Series, 2002,1232: 549-554.
［31］Jonghwan K, Andre E. Emotion recognition based on physiological changes in music listening［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30,12: 2067-2083.