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How Can Music Influence the Autonomic Nervous System Response in Patients with Severe Disorder of Consciousness?

Riganello, Francesco; Cortese, Maria Daniela; Arcuri, Francesco et al.

2015 • In Frontiers in Neuroscience, 9 (461)

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https://hdl.handle.net/2268/233508

DOI
10.3389/fnins.2015.00461

PubMed
26696818

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Keywords :

Music; Central Autonomic Network; Unresponsive Wakefulness Sindrome

Abstract :

[en] Activations to pleasant and unpleasant musical stimuli were observed within an extensive neuronal network and different brain structures, as well as in the processing of the syntactic and semantic aspects of the music. Previous studies evidenced a correlation between autonomic activity and emotion evoked by music listening in patients with Disorders of Consciousness (DoC). In this study, we analyzed retrospectively the autonomic response to musical stimuli by mean of normalized units of Low Frequency (nuLF) and Sample Entropy (SampEn) of Heart Rate Variability (HRV) parameters, and their possible correlation to the different complexity of four musical samples (i.e., Mussorgsky, Tchaikovsky, Grieg, and Boccherini) in Healthy subjects and Vegetative State/Unresponsive Wakefulness Syndrome (VS/UWS) patients. The complexity of musical sample was based on Formal Complexity and General Dynamics parameters defined by Imberty's semiology studies. The results showed a significant difference between the two groups for SampEn during the listening of Mussorgsky's music and for nuLF during the listening of Boccherini and Mussorgsky's music. Moreover, the VS/UWS group showed a reduction of nuLF as well as SampEn comparing music of increasing Formal Complexity and General Dynamics. These results put in evidence how the internal structure of the music can change the autonomic response in patients with DoC. Further investigations are required to better comprehend how musical stimulation can modify the autonomic response in DoC patients, in order to administer the stimuli in a more effective way.

Disciplines :

Neurology

Author, co-author :

Riganello, Francesco ; S. Anna Institute - Crotone - Italy > Researcher

Cortese, Maria Daniela; S. Anna Istitute - Crotone -Italy > neuropsychologist

Arcuri, Francesco; S. Anna Institute > occupational medicine

Quintieri, Maria; S. Anna Institute - Crotone - Itlay > Medical Doctor

Dolce, Giuliano; S. Anna Institute > Scientific Director

Language :

English

Title :

How Can Music Influence the Autonomic Nervous System Response in Patients with Severe Disorder of Consciousness?

Publication date :

10 December 2015

Journal title :

Frontiers in Neuroscience

ISSN :

1662-4548

eISSN :

1662-453X

Publisher :

Frontiers Media S.A., Switzerland

Volume :

9

Issue :

461

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 07 March 2019

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Bibliography

Aboy, M., Cuesta-Frau, D., Austin, D., and Mico-Tormos, P. (2007). "Characterization of sample entropy in the context of biomedical signal analysis," in 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007 (Lyon: EMBS), 5942-5945.
Batchinsky, A. I., Salinas, J., Kuusela, T., Necsoiu, C., Jones, J., and Cancio, L. C. (2009). Rapid prediction of trauma patient survival by analysis of heart rate complexity: impact of reducing data set size. Shock Augusta Ga 32, 565-571. doi: 10.1097/SHK.0b013e3181a993dc.
Behne, K.-E. (1986). Hörertypologien: zur Psychologie des Jugendlichen Musikgeschmacks. Regensburg: G. Bosse.
Benarroch, E. E. (1993). The central autonomic network: functional organization, dysfunction, and perspective. Mayo Clin. Proc. 68, 988-1001. doi: 10.1016/S0025-6196(12)62272-1.
Bernardi, L., Porta, C., and Sleight, P. (2006). Cardiovascular, cerebrovascular, and respiratory changes induced by different types of music in musicians and non-musicians: the importance of silence. Heart 92, 445-452. doi: 10.1136/hrt.2005.064600.
Biswas, A. K., Scott, W. A., Sommerauer, J. F., and Luckett, P. M. (2000). Heart rate variability after acute traumatic brain injury in children. Crit. Care Med. 28, 3907-3912. doi: 10.1097/00003246-200012000-00030.
Burr, R. L. (2007). Interpretation of normalized spectral heart rate variability indices in sleep research: a critical review. Sleep 30, 913-919.
Cancio, L. C., Batchinsky, A. I., Salinas, J., Kuusela, T., Convertino, V. A., Wade, C. E., et al. (2008). Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients. J. Trauma Inj. Infect. Crit. Care 65, 813-819. doi: 10.1097/TA.0b013e3181848241.
Crozier, J. B. (1974). Verbal and exploratory responses to sound sequences varying in uncertainty level. Stud. New Exp. Aesthet. 10, 27-90.
Dube, L., and Le Bel, J. (2003). The content and structure of laypeople's concept of pleasure. Cogn. Emot. 17, 263-295. doi: 10.1080/02699930302295.
da Silva, S. A., Guida, H. L., dos SantosAntônio, A. M., Vanderlei, L. C., Ferreira, L. L., de Abreu, L. C., et al. (2014). Auditory stimulation with music influences the geometric indices of heart rate variability in men. Int. Arch. Med. 7:27. doi: 10.1186/1755-7682-7-27.
Ellis, R. J. (2009). The Effect of Musical Tempo on Subjective and Physiological Indices of Affective Response. Doctoral dissertation, The Ohio State University. Available online at: https://etd.ohiolink.edu/.
Ellis, R. J., and Thayer, J. F. (2010). Music and autonomic nervous system (dys)function. Music Percept. 27, 317-326. doi: 10.1525/mp.2010.27.4.317.
Etzel, J. A., Johnsen, E. L., Dickerson, J., Tranel, D., and Adolphs, R. (2006). Cardiovascular and respiratory responses during musical mood induction. Int. J. Psychophysiol. 61, 57-69. doi: 10.1016/j.ijpsycho.2005.10.025.
Fukumoto, M., and Matsuo, K. (2010). Effects of musical tempo on multiple subjective impressions. Int. J. Biom. 2, 124-133. doi: 10.1504/IJBM.2010.031792.
Gabrielsson, A. (2002). Emotion perceived and emotion felt: same or different? Music. Sci. 5, 123-147. doi: 10.1177/10298649020050S105.
Gabrielsson, A., and Juslin, P. N. (1996). Emotional expression in music performance: between the performer's intention and the listener's experience. Psychol. Music 24, 68-91. doi: 10.1177/0305735696241007.
Giacino, J. T., and Kalmar, K. (2005). Diagnostic and prognostic guidelines for the vegetative and minimally conscious states. Neuropsychol. Rehabil. 15, 166-174. doi: 10.1080/09602010443000498.
Giacino, J. T., Kalmar, K., and Whyte, J. (2004). The JFK coma recovery scale-revised: measurement characteristics and diagnostic utility. Arch. Phys. Med. Rehabil. 85, 2020-2029. doi: 10.1016/j.apmr.2004.02.033.
Gibbons, J. D., and Chakraborti, S. (2011). "Nonparametric statistical inference," in International Encyclopedia of Statistical Science, ed M. Lovric (Berlin; Heidelberg: Springer), 977-979. Available online at: http://link.springer.com/referenceworkentry/10.1007/978-3-642-04898-2_420 (Accessed July 2, 2015).
Goldstein, B., Kempski, M. H., DeKing, D., Cox, C., DeLong, D. J., Kelly, M. M., et al. (1996). Autonomic control of heart rate after brain injury in children. Crit. Care Med. 24, 234-240. doi: 10.1097/00003246-199602000-00009.
Gomez, P., and Danuser, B. (2007). Relationships between musical structure and psychophysiological measures of emotion. Emotion 7, 377-387. doi: 10.1037/1528-3542.7.2.377.
Guzzetta, C. E. (1989). Effects of relaxation and music therapy on patients in a coronary care unit with presumptive acute myocardial infarction. Heart Lung J. Crit. Care 18, 609-616.
Hainsworth, R. (1995). "The control and physiological importance of heart rate," in Heart Rate Variability, eds M. Malik and A. J. Camm (Armonk, NY: Futura Publishing Company, Inc.), 3-19.
Hajizadeh, S., Abbasi, A., and Goshvarpour, A. (2015). Empirical mode decomposition-based analysis of heart rate signal affected by iranian music. Appl. Med. Inform. 37, 11-20. Available online at: http://ami.info.umfcluj.ro/index.php/AMI/article/view/545.
Hanser, S. B. (2014). Music therapy in cardiac health care: current issues in research. Cardiol. Rev. 22, 37-42. doi: 10.1097/CRD.0b013e318291c5fc.
Harrer, G., and Harrer, H. (1968). Music, emotion and the autonomic nervous system. Wien. Med. Wochenschr. 118, 966-971.
Hemphill, J. F. (2003). Interpreting the magnitudes of correlation coefficients. Am. Psychol. 58, 78-79. doi: 10.1037/0003-066X.58.1.78.
Hodges, D. A. (1980). Handbook of Music Psychology. Washington, DC: National Association for Music Therapy.
Holbrook, M. B., and Anand, P. (1990). Effects of tempo and situational arousal on the listener's perceptual and affective responses to music. Psychol. Music 18, 150-162. doi: 10.1177/0305735690182004.
Imberty, M. (1976). Signification and Meaning in Music. Montreal, QC: Groupe de Recherches en Sémiologie Musicale, Faculté de Musique, Université de Montréal.
Imberty, M. (1997). Formes de la répétition et formes des affects du temps dans l'expression musicale. Music. Sci. 1, 33-62.
Iwanaga, M., Kobayashi, A., and Kawasaki, C. (2005). Heart rate variability with repetitive exposure to music. Biol. Psychol. 70, 61-66. doi: 10.1016/j.biopsycho.2004.11.015.
Juslin, P. N. (1997). Emotional communication in music performance: a functionalist perspective and some data. Music Percept. 14, 383-418. doi: 10.2307/40285731.
Juslin, P. N. (2000). Cue utilization in communication of emotion in music performance: relating performance to perception. J. Exp. Psychol. Hum. Percept. Perform. 26, 1797-1813. doi: 10.1037/0096-1523.26.6.1797.
Juslin, P. N., and Sloboda, J. A. (2010). Handbook of Music and Emotion: Theory, Research, Applications. Oxford: Oxford University Press.
Kaplan, D. T., Furman, M. I., Pincus, S. M., Ryan, S. M., Lipsitz, L. A., and Goldberger, A. L. (1991). Aging and the complexity of cardiovascular dynamics. Biophys. J. 59, 945. doi: 10.1016/S0006-3495(91)82309-8.
Kawashima, T. (2005). The autonomic nervous system of the human heart with special reference to its origin, course, and peripheral distribution. Anat. Embryol. (Berl) 209, 425-438. doi: 10.1007/s00429-005-0462-1.
Kemper, K. J., Hamilton, C. A., McLean, T. W., and Lovato, J. (2008). Impact of music on pediatric oncology outpatients. Pediatr. Res. 64, 105-109. doi: 10.1203/PDR.0b013e318174e6fb.
Keren, O., Yupatov, S., Radai, M. M., Elad-Yarum, R., Faraggi, D., Abboud, S., et al. (2005). Heart rate variability (HRV) of patients with traumatic brain injury (TBI) during the post-insult sub-acute period. Brain Inj. 19, 605-611. doi: 10.1080/02699050400024946.
Khalfa, S., Roy, M., Rainville, P., Dalla Bella, S., and Peretz, I. (2008). Role of tempo entrainment in psychophysiological differentiation of happy and sad music? Int. J. Psychophysiol. 68, 17-26. doi: 10.1016/j.ijpsycho.2007.12.001.
Khandoker, A. H., Jelinek, H. F., and Palaniswami, M. (2009). Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis. Biomed. Eng. OnLine 8:3. doi: 10.1186/1475-925x-8-3.
Koelsch, S. (2005). Neural substrates of processing syntax and semantics in music. Curr. Opin. Neurobiol. 15, 207-212. doi: 10.1016/j.conb.2005.03.005.
Koelsch, S., Fritz, T. V., Cramon, D. Y., Müller, K., and Friederici, A. D. (2006). Investigating emotion with music: an fMRI study. Hum. Brain Mapp. 27, 239-250. doi: 10.1002/hbm.20180.
Lane, R., McRae, K., Reiman, E. M., Chen, K., Ahern, G. L., and Thayer, J. (2009). Neural correlates of heart rate variability during emotion. Neuroimage 44, 213-222. doi: 10.1016/j.neuroimage.2008.07.056.
Lee, Y.-C., Lei, C.-Y., Shih, Y.-S., Zhang, W.-C., Wang, H.-M., Tseng, C.-L., et al. (2011). HRV response of vegetative state patient with music therapy. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011, 1701-1704. doi: 10.1109/IEMBS.2011.6090488.
Magee, W. L. (2005). Music therapy with patients in low awareness states: approaches to assessment and treatment in multidisciplinary care. Neuropsychol. Rehabil. 15, 522-536. doi: 10.1080/09602010443000461.
Malliani, A. (1999). The pattern of sympathovagal balance explored in the frequency domain. Physiology 14, 111-117.
Meyer, L. B. (2008). Emotion and Meaning in Music. Chicago, IL: University of Chicago Press.
Montano, N., Porta, A., Cogliati, C., Costantino, G., Tobaldini, E., Casali, K. R., et al. (2009). Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neurosci. Biobehav. Rev. 33, 71-80. doi: 10.1016/j.neubiorev.2008.07.006.
Mukherjee, S., Palit, S. K., Banerjee, S., and Bhattacharya, D. K. (2015). "A comparative study on three different types of music based on same indian raga and their effects on human autonomic nervous systems," in Chaos, Complexity and Leadership 2013, eds S. S. Erçetin and S. Banerjee (Cham: Springer International Publishing), 243-254. Available at: http://link.springer.com/10.1007/978-3-319-09710-7_21 (Accessed September, 10, 2015).
Mundry, R., and Fischer, J. (1998). Use of statistical programs for nonparametric tests of small samples often leads to incorrect P values: examples from animal behaviour. Anim. Behav. 56, 256-259. doi: 10.1006/anbe.1998.0756.
Napadow, V., Dhond, R., Conti, G., Makris, N., Brown, E. N., and Barbieri, R. (2008). Brain correlates of autonomic modulation: combining heart rate variability with fMRI. Neuroimage 42, 169-177. doi: 10.1016/j.neuroimage.2008.04.238.
Niskanen, J.-P., Tarvainen, M. P., Ranta-aho, P. O., and Karjalainen, P. A. (2004). Software for advanced HRV analysis. Comput. Methods Programs Biomed. 76, 73-81. doi: 10.1016/j.cmpb.2004.03.004.
Norris, P. R., Ozdas, A., Cao, H., Williams, A. E., Harrell, F. E., Jenkins, J. M., et al. (2006). Cardiac uncoupling and heart rate variability stratify ICU patients by mortality: a study of 2088 trauma patients. Ann. Surg. 243, 804-812; discussion 812-814. doi: 10.1097/01.sla.0000219642.92637.fd.
O'Kelly, J., James, L., Palaniappan, R., Taborin, J., Fachner, J., and Magee, W. L. (2013). Neurophysiological and behavioral responses to music therapy in vegetative and minimally conscious states. Front. Hum. Neurosci. 7:884. doi: 10.3389/fnhum.2013.00884.
O'Kelly, J., and Magee, W. L. (2013). Music therapy with disorders of consciousness and neuroscience: the need for dialogue. Nord. J. Music Ther. 22, 93-106. doi: 10.1080/08098131.2012.709269.
Ockelford, A. (2008). Review article: D. HURON, Sweet Anticipation: Music and the Psychology of Expectation. Cambridge, MA: The MITPress (A Bradford Book), 2006, 476, 108 illus. ISBN 0-262-08345-0 (hbk) $40/£25.95. Psychol. Music 36, 367-382. doi: 10.1177/0305735608094506.
Okada, K., Kurita, A., Takase, B., Otsuka, T., Kodani, E., Kusama, Y., et al. (2009). Effects of music therapy on autonomic nervous system activity, incidence of heart failure events, and plasma cytokine and catecholamine levels in elderly patients with cerebrovascular disease and dementia. Int. Heart. J. 50, 95-110. doi: 10.1536/ihj.50.95.
Okumura, Y., Asano, Y., Takenaka, S., Fukuyama, S., Yonezawa, S., Kasuya, Y., et al. (2014). Brain activation by music in patients in a vegetative or minimally conscious state following diffuse brain injury. Brain Inj. 28, 944-950. doi: 10.3109/02699052.2014.888477.
Orini, M., Bailón, R., Enk, R., Koelsch, S., Mainardi, L., and Laguna, P. (2010). A method for continuously assessing the autonomic response to music-induced emotions through HRV analysis. Med. Biol. Eng. Comput. 48, 423-433. doi: 10.1007/s11517-010-0592-3.
Papaioannou, V. E., Maglaveras, N., Houvarda, I., Antoniadou, E., and Vretzakis, G. (2006). Investigation of altered heart rate variability, nonlinear properties of heart rate signals, and organ dysfunction longitudinally over time in intensive care unit patients. J. Crit. Care 21, 95-103; discussion 103-104. doi: 10.1016/j.jcrc.2005.12.007.
Papaioannou, V., Giannakou, M., Maglaveras, N., Sofianos, E., and Giala, M. (2008). Investigation of heart rate and blood pressure variability, baroreflex sensitivity, and approximate entropy in acute brain injury patients. J. Crit. Care 23, 380-386. doi: 10.1016/j.jcrc.2007.04.006.
Perez-Lloret, S., Diez, J., Domé, M. N., Delvenne, A. A., Braidot, N., Cardinali, D. P., et al. (2014). Effects of different "relaxing" music styles on the autonomic nervous system. Noise Health 16, 279-284. doi: 10.4103/1463-1741.140507.
Perrin, F., Castro, M., Tillmann, B., and Luauté, J. (2015). Promoting the use of personally relevant stimuli for investigating patients with disorders of consciousness. Front. Psychol. 6:1102. doi: 10.3389/fpsyg.2015.01102.
Pincus, S. M., and Goldberger, A. L. (1994). Physiological time-series analysis: what does regularity quantify? Am. J. Physiol.-Heart Circ. Physiol. 266, H1643-H1656.
Porta, A., Guzzetti, S., Montano, N., Pagani, M., Somers, V., Malliani, A., et al. (2000). Information domain analysis of cardiovascular variability signals: evaluation of regularity, synchronisation and co-ordination. Med. Biol. Eng. Comput. 38, 180-188. doi: 10.1007/BF02344774.
Rapenne, T., Moreau, D., Lenfant, F., Vernet, M., Boggio, V., Cottin, Y., et al. (2001). Could heart rate variability predict outcome in patients with severe head injury? A pilot study. J. Neurosurg. Anesthesiol. 13, 260-268.
Rauhe, H. (1975). Rezeptionspsychologischer aspekt: kategoriale erfassung musikalischer Hörvorgänge durch Entwicklung korrespondierender rezeptionskategorien und analysen ihrer Bedingungszusammenhänge. 1975, 137-145.
Richman, J. S., and Moorman, J. R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. Am. J. Physiol.-Heart Circ. Physiol. 278, H2039-H2049.
Riganello, F., Candelieri, A., Quintieri, M., Conforti, D., and Dolce, G. (2010a). Heart rate variability: an index of brain processing in vegetative state? An artificial intelligence, data mining study. Clin. Neurophysiol. 121, 2024-2034. doi: 10.1016/j.clinph.2010.05.010.
Riganello, F., Candelieri, A., Quintieri, M., and Dolce, G. (2010b). Heart rate variability, emotions, and music. J. Psychophysiol. 24, 112-119. doi: 10.1027/0269-8803/a000021.
Riganello, F., Dolce, G., and Sannita, W. (2012a). Heart rate variability and the central autonomic network in the severe disorder of consciousness. J. Rehabil. Med. 44, 495-501. doi: 10.2340/16501977-0975.
Riganello, F., Garbarino, S., and Sannita, W. G. (2012b). Heart rate variability, homeostasis, and brain function: a tutorial and review of application. J. Psychophysiol. 26, 178-203. doi: 10.1027/0269-8803/a000080.
Riganello, F., Giuliano, D., Garbarino, S., and Sannita, W. G. (2014). Heart rate variability and the two-way interaction between CNS and the central autonomic network. Exp. Clin. Cardiol. 20, 5584-5595. Available online at: http://www.researchgate.net/publication/266206042.
Riganello, F., Quintieri, M., Candelieri, A., Conforti, D., and Dolce, G. (2008). Heart rate response to music: an artificial intelligence study on healthy and traumatic brain-injured subjects. J. Psychophysiol. 22, 166-174. doi: 10.1027/0269-8803.22.4.166.
Riordan, W. P. Jr., Norris, P. R., Jenkins, J. M., and Morris, J. A. Jr. (2009). Early loss of heart rate complexity predicts mortality regardless of mechanism, anatomic location, or severity of injury in 2178 trauma patients. J. Surg. Res. 156, 283-289. doi: 10.1016/j.jss.2009.03.086.
Roque, A. L., Valenti, V. E., Guida, H. L., Campos, M. F., Knap, A., Vanderlei, L. C. M., et al. (2013a). The effects of auditory stimulation with music on heart rate variability in healthy women. Clinics 68, 960-967. doi: 10.6061/clinics/2013(07)12.
Roque, A. L., Valenti, V. E., Guida, H. L., Campos, M. F., Knap, A., Vanderlei, L. C., et al. (2013b). The effects of different styles of musical auditory stimulation on cardiac autonomic regulation in healthy women. Noise Health 15, 281. doi: 10.4103/1463-1741.113527.
Rosenthal, R. (1991). Effect sizes: pearson's correlation, its display via the BESD, and alternative indices. Am. Psychol. 46, 1086-1087. doi: 10.1037/0003-066X.46.10.1086.
Rösing, H. (1985). Grundzüge musikalischen hörens und psychische wirkungen funktioneller Musik 1985, 39-56.
Ryan, M. L., Thorson, C. M., Otero, C. A., Vu, T., and Proctor, K. G. (2011). Clinical applications of heart rate variability in the triage and assessment of traumatically injured patients. Anesthesiol. Res. Pract. 2011:416590. doi: 10.1155/2011/416590.
Scherlag, B. J., and Po, S. (2006). The intrinsic cardiac nervous system and atrial fibrillation. Curr. Opin. Cardiol. 21, 51-54. doi: 10.1097/01.hco.0000198980.40390.e4.
Siegel, S. (1956). Nonparametric Statistics for the Behavioral Sciences. New York, NY: McGraw-Hill.
Smith, J. D., and Melara, R. J. (1990). Aesthetic preference and syntactic prototypicality in music:'tis the gift to be simple. Cognition 34, 279-298. doi: 10.1016/0010-0277(90)90007-7.
Spyer, K. M., and Gourine, A. V. (2009). Chemosensory pathways in the brainstem controlling cardiorespiratory activity. Philos. Trans. R. Soc. B Biol. Sci. 364, 2603-2610. doi: 10.1098/rstb.2009.0082.
Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology. (1996). Heart rate variability standards of measurement, physiological interpretation, and clinical use. Eur. Heart J. 17, 354-381.
Tanizaki, H. (1997). Power comparison of non-parametric tests: small-sample properties from monte carlo experiments. J. Appl. Stat. 24, 603-632. doi: 10.1080/02664769723576.
Tarvainen, M. P., Niskanen, J.-P., Lipponen, J. A., Ranta-Aho, P. O., and Karjalainen, P. A. (2014). Kubios HRV-heart rate variability analysis software. Comput. Methods Programs Biomed. 113, 210-220. doi: 10.1016/j.cmpb.2013.07.024.
Tillmann, B. (2005). Implicit investigations of tonal knowledge in nonmusician listeners. Ann. N.Y. Acad. Sci. 1060, 100-110. doi: 10.1196/annals.1360.007.
Trappe, H.-J. (2012). Role of music in intensive care medicine. Int. J. Crit. Illn. Inj. Sci. 2, 27-31. doi: 10.4103/2229-5151.94893.
Umemura, M., and Honda, K. (1998). Influence of music on heart rate variability and comfort-a consideration through comparison of music and noise. J. Hum. Ergol. (Tokyo) 27, 30-38.
Vitz, P. C. (1966). Affect as a function of stimulus variation. J. Exp. Psychol. 71, 74-79. doi: 10.1037/h0022619.
Voss, A., Kurths, J., Kleiner, H. J., Witt, A., Wessel, N., Saparin, P., et al. (1996). The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death. Cardiovasc. Res. 31, 419-433. doi: 10.1016/0008-6363(96)00008-9.
Wijnen, V. J., Heutink, M., van Boxtel, G. J., Eilander, H. J., and de Gelder, B. (2006). Autonomic reactivity to sensory stimulation is related to consciousness level after severe traumatic brain injury. Clin. Neurophysiol. 117, 1794-1807. doi: 10.1016/j.clinph.2006.03.006.
World Medical Association (2001). World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects. Bull. World Health Organ. 79, 373-374.
Yen, B. S., Wang, H.-M., Hou, M. C., Huang, S.-C., Chou, L.-C., Hsu, S.-Y., et al. (2010). "The relationship between music processing and electrocardiogram (ECG) in vegetative state (VS)," in Proceedings of 2010 IEEE International Symposium on Circuits and Systems (Paris), 2239-2242. doi: 10.1109/ISCAS.2010.5537211.
Zimmerman, L. M., Pierson, M. A., and Marker, J. (1988). Effects of music on patient anxiety in coronary care units. Heart Lung J. Crit. Care 17, 560-566.

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