基于脑电信号溯源分析的音乐类型对学习记忆影响的研究

doi:10.3969/j.issn.0258-8021.2019.06.005

Abstract
Figure/Table
References
Related Citation (8)

Download: PDF (7936 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Music plays an important role in our daily life, and more and more scholars pay attention to the influence of music on learning cognitive activities. In this paper, 20 subjects in the EEG experiment for memorizing English words under three music conditions (non-music, classical music and rock music) was enrolled, and standardized low resolution brain electromagnetic tomography algorithm (sLORETA) was applied to reconstruct the sources, and statistical nonparametric mapping method (SnPM) was used to make pairwise comparison analysis of source localization results under three conditions. The localization analyses of EEG signals showed that ERP sources under different music types were mainly distributed in frontal lobes and temporal lobes. The localization results of P300 under non-music condition were mainly distributed in frontal lobe and left temporal lobes, and the localization results of P300 under classical music and rock music were mainly distributed in frontal lobe and right temporal lobe. Statistical analysis of the reconstruction results showed that there were significant differences between the ERP source current densities under different music types (P<0.05). The differences between non-music condition and classical music condition were mainly concentrated in temporal lobe. The differences between non-music condition and rock music condition were mainly concentrated in temporal lobe and frontal lobe. The differences between classical music condition and rock music condition were mainly concentrated in frontal lobe and occipital lobe. Statistical analysis of the behavioral data showed that the correct response rates of the subjects for memorizing words under non-music condition was about 91.00%±0.64%, that of classical music was about 86.00%±0.45%, and that of rock music was about 80.00%±0.24%. The results suggest that music may stimulate the brain, and it may waste the resources of the brain for the current cognitive processing and reduce the efficiency of learning and memory.

Key words： EEG source localization background music working memory standardized low resolution brain electromagnetic tomography algorithm(sLORETA) event related potential(ERP)

Received: 08 October 2018

PACS:

R318

Corresponding Authors: E-mail: yli@hebut.edu.cn

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Li Jipeng
	Li Ying
	Zhang Dongying
	Feng Hao
	Yin Ning

Cite this article:

Li Jipeng,Li Ying,Zhang Dongying, et al. Research on the Influence of Music Type on Learning and Memory Based on EEG Signal Source Tracing Analysis[J]. Chinese Journal of Biomedical Engineering, 2019, 38(6): 679-686.

URL:

http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2019.06.005 OR http://cjbme.csbme.org/EN/Y2019/V38/I6/679

[1] Peretz I. The nature of music from a biological perspective [J]. Cognition, 2006, 100(1): 1-32.
[2] Pavlicevic M. Music Therapy in Context [M]. Jessica Kingsley Publishers, 1997:24-29.
[3] 李建福,罗程,尧德中,等.复杂网络主成分分析的分类方法在音乐家白质可塑性研究中的应用 [J]. 中国生物医学工程学报, 2015, 34(2): 184-189.
[4] 雷敏. 背景音乐对工作记忆的影响 [D]. 郑州:郑州大学,2016.
[5] Iwaki T, Sadamitsu S, Hayashi M, et al. Interference effects of background music on working memory task and P300 [J]. International Journal of Psychophysiology, 1998, 30(1-2): 142-145.
[6] Furnham A, Strbac L. Music is as distracting as noise: the differential distraction of background music and noise on the cognitive test performance of introverts and extraverts [J]. Ergonomics, 2002, 45(3): 203-217.
[7] 李卫华. 背景音乐对记忆的影响研究 [D]. 武汉:华中师范大学,2008.
[8] 刘桂青,曹锐,相洁. 酗酒者皮层脑电同步性分析 [J]. 中国生物医学工程学报, 2016, 35(6): 671-676.
[9] 李健,陈国镇,陈春晓. 基于脑电信号溯源分析的观看3D电视导致大脑疲劳研究 [J]. 中国生物医学工程学报, 2017, 36(1): 46-52.
[10] Brazier M. A study of the electrical fields at the surface of the head [J]. American Journal of EEG Technology, 1966, 6(4): 114-128.
[11] Schneider MR. A multistage process for computing virtual dipolar sources of EEG discharges from surface information [J]. IEEE Transactions on Biomedical Engineering, 1972, 19(1): 1-12.
[12] Cuffin BN. EEG localization accuracy improvements using realistically shaped head models [J]. IEEE Transactions on Biomedical Engineering, 1996, 43(3): 299-303.
[13] Pascual-Marqui RD. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details [J]. Clinical and Experimental Pharmacology and Physiology, 2002, 24(Suppl D): 5-12.
[14] Lorenzo-Lopez L, Amenedo E, Pascual-Marqui RD, et al. Neural- correlates of age-related visual search decline: A combined ERP and sLORETA study [J]. Neuroimage, 2008, 41(2): 511-524.
[15] Sekihara K, Sahani M, Nagarajan SS. Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction [J]. Neuroimage, 2005, 25(4): 1056-1067.
[16] Kim YY, Jung YS. Reduced frontal activity during response inhibition in individuals with psychopathic traits: An sLORETA study [J]. Biological Psychology, 2014, 97(3): 49-59.
[17] Kim MS, Jang KM, Che H, et al. Electrophysiological correlates of object-repetition effects: sLORETA imaging with 64-channel EEG and individual MRI [J]. BMC Neuroscience, 2012, 13(1): 1-10.
[18] Scharmaller W, Leutgeb V, Schafer A, et al. Source localization of late electrocortical positivity during symptom provocation in spider phobia:an sLORETA study [J]. Brain Research, 2011, 1397(2): 10-18.
[19] Keeser D, Padberg F, Reisinger E, et al. Prefrontal direct current stimulation modulates resting EEG and event-related potentials in healthy subjects:a standardized low resolution tomography (sLORETA) study [J]. Neuroimage, 2011, 55(2): 644-657.
[20] Holmes AP, Blair RC, Watson G, et al. Nonparametric analysis of statistic images from functional mapping experiments [J]. Journal of Cerebral Blood Flow & Metabolism, 1996, 16(1): 334-341.
[21] Wagner M, Ponton C, Tech R, et al. Non-Parametric statistical analysis of EEG/MEG map topographies and source distributions on the epoch level [J]. Kognitive Neurophysiologie Des Menschen, 2014, 7(1): 1-23.
[22] Petersen SE, Fox PT, Posner MI, et al. Positron emission tomographic studies of the cortical anatomy of single-word processing [J]. Nature, 1988, 331(6157): 585.
[23] Stephan KE, Marshall JC, Friston KJ, et al. Lateralized cognitive processes and lateralized task control in the human brain [J]. Science, 2003, 301(5631): 384-386.
[24] Hutsler J, Galuske RAW. Hemispheric asymmetries in cerebral cortical networks [J]. Trends in Neurosciences, 2003, 26(8): 429-435.
[25] Jonides J, Reuter-Lorenz PA, Smith EE, et al. Verbal and spatial working memory in humans [J]. Psychology of Learning & Motivation, 1996, 35(8): 43-88.
[26] 郑金龙,舒斯云,刘颂豪. 语义记忆脑功能区偏侧化的功能磁共振成像研究 [J]. 中国神经精神疾病杂志,2009,35(10): 605-608.
[27] 侯建成,董奇. 音乐认知:脑与认知科学的研究成果及其教育启示[J]. 黄钟(武汉音乐学院学报),2010(2): 166-173.
[28] 侯建成,刘昌. 国外有关音乐活动的脑机制的研究概述—兼及“莫扎特效应”[J]. 中央音乐学院学报,2008(1): 110-118.
[29] Gazzaniga M, Ivry R, Mangun G, et al. 认知神经科学: 关于心智的生物学 [M]. 北京:中国轻工业出版社,2011: 298-315.
[30] Elfgren C, Van WD, Passant U, et al. fMRI activity in the medial temporal lobe during famous face processing [J]. Neuroimage, 2006, 30(2): 609-616.
[31] Cabeza R, Locantore JK, Anderson ND. Lateralization of prefrontal activity during episodic memory retrieval: Evidence for the production-monitoring hypothesis [J]. Journal of Cognitive Neuroscience, 2003, 15(2): 249.
[32] 翟洪昌,邓波平. 英文和汉字记忆及再认加工脑区的初步研究 [J]. 心理科学,2009(5): 1195-1198.
[33] Spencer TJ, Montaldi D, Gong QY, et al. Object priming and recognition memory: dissociable effects in left frontal cortex at encoding [J]. Neuropsychologia, 2009, 47(13): 2942-2947.
[34] 杨桂芬,张云亭,张权. 正常人数字n-back工作记忆神经基础的fMRI研究 [J]. 临床放射学杂志,2008(1).
[35] Carpenter PA, Just MA, Reichle ED. Working memory and executive function: evidence from neuroimaging [J]. Current Opinion in Neurobiology, 2000, 10(2): 195-199.
[36] Banich MT, Milham MP, Atchley R, et al. fMRI studies of Stroop tasks reveal unique roles of anterior and posterior brain systems in attentional selection [J]. Journal of Cognitive Neuroscience, 2000, 12(6): 988-1000.
[37] Wang L, Liu X, Guise KG, et al. Effective connectivity of the fronto-parietal network during attentional control [J]. Journal of Cognitive Neuroscience, 2009, 22(3): 543-553.
[38] Jansma JM, Ramsey NF, Coppola R, et al. Specific versus nonspecific brain activity in a parametric n-back task [J]. Neuroimage, 2000, 12(6): 688-697.
[39] Barch DM, Braver TS, Nystrom LE, et al. Dissociating working memory from task difficulty in human prefrontal cortex [J]. Neuropsychologia, 1997, 35(10): 1373-1380.
[40] Griffiths TD, Functional imaging of pitch analysis [J]. Annals of the New York Academy of Sciences, 2010, 999(1): 40-49.
[41] Griffiths TD, The neural processing of complex sounds [J]. Annals of the New York Academy of Sciences, 2010, 930(1): 133-142.
[42] 崔恒武,章士正,狄海波. 音乐家与非音乐家的磁共振脑功能成像研究 [J]. 浙江大学学报(医学版),2005,34(4): 326-330.
[43] 王婷婷,莫雷,舒斯云. 记忆编码与提取过程的脑机制——功能性核磁共振研究 [J]. 生理学报,2009,61(5): 395-403.
[44] Petsche H, Richter P, Stein AV, et al. EEG coherence and musical thinking [J]. Music Perception an Interdisciplinary Journal, 1993, 11(2): 117-151.