Alzheimer’s disease is the most common form of dementia, affecting nearly 9.9 million new people every year. The disease provokes important memory and cognitive impairment, eventually causing individuals to forget their loved ones and rendering them completely dependent on their caretakers. Alzheimer’s patients typically experience more negative emotions, such as frustration and apathy, than healthy older adults. There is currently no cure for the disease. Our research group explores how the integration of virtual reality (VR) and an EEG-based intelligent agent in music therapy can alleviate psychological and cognitive symptoms of the disease. We propose a theory explaining how, through activation of the brain reward system, music can reduce negative emotions, increase positive emotions and as a result increase performance on cognitive tasks. The results of our experimental study concord with our theory: emotional states of participants are improved, as per recorded through EEG, and performances on memory tasks show improvement following the intervention. We believe that the combination of EEG brain assessment, VR and music therapy is a promising method for emotional states and cognitive symptoms of Alzheimer’s disease.
Dunbar, R.I.M. (2012) On the Evolutionary Function of Song and Dance. In: Bannan, N., Ed., Music, Language, and Human Evolution, Oxford University Press, Oxford, 201-214.
Lord, T.R. and Garner, J.E. (1993) Effects of Music on Alzheimer Patients. Perceptual and Motor Skills, 76, 451-455. https://doi.org/10.2466/pms.1993.76.2.451
Thaut, M.H. (2010) Neurologic Music Therapy in Cognitive Rehabilitation. Music Perception, 27, 281-285. https://doi.org/10.1525/mp.2010.27.4.281
Landes, A.M., Sperry, S.D., Strauss, M.E. and Geldmacher, D.S. (2001) Apathy in Alzheimer’s Disease. Journal of the American Geriatrics Society, 49, 1700-1707. https://doi.org/10.1046/j.1532-5415.2001.49282.x
Abdessalem, H.B., Byrns, A., Cuesta, M., et al. (2020) Application of Virtual Travel for Alzheimer’s Disease. Proceedings of the 9th International Conference on Sensor Networks, Valletta, Malta, 28-29 February 2020, 52-60. https://doi.org/10.5220/0008976700520060
Byrns, A., Ben Abdessalem, H., Cuesta, M., et al. (2020) Adaptive Music Therapy for Alzheimer’s Disease Using Virtual Reality. In: Vivekanandan, K. and Christos, T., Eds., Intelligent Tutoring Systems, 16th International Conference, ITS 2020, Athens, Greece, 8-12 June 2020, 214-219.
García-Betances, R.I., Arredondo Waldmeyer, M.T., Fico, G. and Cabrera-Umpiérrez, M.F. (2015) Corrigendum: A Succinct Overview of Virtual Reality Technology Use in Alzheimer’s Disease. Frontiers in Aging Neuroscience, 7, 80. https://doi.org/10.3389/fnagi.2015.00235
Gallego, M.G. and García, J.G. (2017) Music Therapy and Alzheimer’s Disease: Cognitive, Psychological, and Behavioural Effects. Neurología (English Edition), 32, 300-308. https://doi.org/10.1016/j.nrleng.2015.12.001
Blood, A.J. and Zatorre, R.J. (2001) Intensely Pleasurable Responses to Music Correlate with Activity in Brain Regions Implicated in Reward and Emotion. Proceedings of the National Academy of Sciences of the United States of America, 98, 11818-11823. https://doi.org/10.1073/pnas.191355898
Routtenberg, A. (1978) The Reward System of the Brain. Scientific American, 239, 154-165. https://doi.org/10.1038/scientificamerican1178-154
Kandel, E.R., Schwartz, J.H., Jessell, T.M., Siegelbaum, S.A. and Hudspeth, A.J. (2013) Principles of Neural Science. 5th Edition, McGraw-Hill Education, New York.
Alzheimer’s Association (2017) Alzheimer’s Disease Facts and Figures. Alzheimer’s & Dementia, 13, 325-373. https://doi.org/10.1016/j.jalz.2017.02.001
Gaugler, J.E., Yu, F., Krichbaum, K. and Wyman, J.F. (2009) Predictors of Nursing Home Admission for Persons with Dementia. Medical Care, 47, 191-198. https://doi.org/10.1097/MLR.0b013e31818457ce
Orgeta, V., Tabet, N., Nilforooshan, R. and Howard, R. (2017) Efficacy of Antidepressants for Depression in Alzheimer’s Disease, Systematic Review and Meta-Analysis. Journal of Alzheimer’s Disease, 58, 725-733. https://doi.org/10.3233/JAD-161247
Lawton, M.P., Van Haitsma, K. and Klapper, J. (1996) Observed Affect in Nursing Home Residents with Alzheimer’s Disease. The Journals of Gerontology Series B, 51B, 3-14. https://doi.org/10.1093/geronb/51B.1.P3
Arnold, S.E., Hyman, B.T., Flory, J., Damasio, A.R. and Van Hoesen, G.W. (1991) The Topographical and Neuroanatomical Distribution of Neurofibrillary Tangles and Neuritic Plaques in the Cerebral Cortex of Patients with Alzheimer’s Disease. Cerebral Cortex, 1, 103-116. https://doi.org/10.1093/cercor/1.1.103
Brodal, H.P., Osnes, B. and Specht, K. (2017) Listening to Rhythmic Music Reduces Connectivity within the Basal Ganglia and the Reward System. Frontiers in Neuroscience, 11, 153. https://doi.org/10.3389/fnins.2017.00153
Trost, W., Frühholz, S., Schön, D., et al. (2014) Getting the Beat, Entrainment of Brain Activity by Musical Rhythm and Pleasantness. Neurolmage, 103, 55-64. https://doi.org/10.1016/j.neuroimage.2014.09.009
Phillips-Silver, J. and Trainor, L.J. (2005) Feeling the Beat, Movement Influences Infant Rhythm Perception. Science, 308, 1430. https://doi.org/10.1126/science.1110922
Ray, K.D. and Mittelman, M.S. (2017) Music Therapy: A Nonpharmacological Approach to the Care of Agitation and Depressive Symptoms for Nursing Home Residents with Dementia. Dementia, 16, 689-710. https://doi.org/10.1177/1471301215613779
King, J., Jones, K., Goldberg, E., et al. (2019) Increased Functional Connectivity after Listening to Favored Music in Adults with Alzheimer Dementia. The Journal of Prevention of Alzheimer’s Disease, 6, 56-62.
De la Rubia Ortí, J.E., García-Pardo, M.P., Iranzo, C.C., et al. (2018) Does Music Therapy Improve Anxiety and Depression in Alzheimer’s Patients? The Journal of Alternative and Complementary Medicine, 24, 33-36. https://doi.org/10.1089/acm.2016.0346
De la Rubia Ortí, J.E., Pardo, M.P.G., Benllochi, M., et al. (2019) Music Therapy Decreases Sadness and Increases Happiness in Alzheimer Patients: A Pilot Study. Neuropsychiatry (London), 9, 2013-2020. https://doi.org/10.4172/Neuropsychiatry.1000546
Chang, Y., Chu, H., Yang, C., et al. (2015) The Efficacy of Music Therapy for People with Dementia: A Meta-Analysis of Randomised Controlled Trials. Journal of Clinical Nursing, 24, 3425-3440. https://doi.org/10.1111/jocn.12976
Zhang, Y., Cai, J., An, L., et al. (2017) Does Music Therapy Enhance Behavioral and Cognitive Function in Elderly Dementia Patients? A Systematic Review and Meta-Analysis. Ageing Research Reviews, 35, 1-11. https://doi.org/10.1016/j.arr.2016.12.003
Peck, K.J., Girard, T.A., Russo, F.A. and Fiocco, A.J. (2016) Music and Memory in Alzheimer’s Disease and the Potential Underlying Mechanisms. Journal of Alzheimer’s Disease, 51, 949-959. https://doi.org/10.3233/JAD-150998
Kandel, E.R., Schwartz, J.H., Jessell, T.M., et al. (2000) Principles of Neural Science. 4th Edition, McGraw-Hill, New York.
Naranjo, C.A., Tremblay, L.K. and Busto, U.E. (2001) The Role of the Brain Reward System in Depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 25, 781-823. https://doi.org/10.1016/S0278-5846(01)00156-7
Zatorre, R.J. (2003) Music and the Brain. Annals of the New York Academy of Sciences, 999, 4-14. https://doi.org/10.1196/annals.1284.001
Juslin, P.N. and Västfjäll, D. (2008) Emotional Responses to Music, the Need to Consider Underlying Mechanisms. Behavioral and Brain Sciences, 31, 559-575. https://doi.org/10.1017/S0140525X08005293
Arjmand, H.-A., Hohagen, J., Paton, B. and Rickard, N.S. (2017) Emotional Responses to Music: Shifts in Frontal Brain Asymmetry Mark Periods of Musical Change. Frontiers in Psychology, 8, Article ID: 2044. https://doi.org/10.3389/fpsyg.2017.02044
Salimpoor, V.N., Van den Bosch, I., Kovacevic, N., et al. (2013) Interactions between the Nucleus Accumbens and Auditory Cortices Predict Music Reward Value. Science, 340, 216-219. https://doi.org/10.1126/science.1231059
Dutcher, J.M. and Creswell, J.D. (2018) The Role of Brain Reward Pathways in Stress Resilience and Health. Neuroscience & Biobehavioral Reviews, 95, 559-567. https://doi.org/10.1016/j.neubiorev.2018.10.014
Ghali, R., Abdessalem, H.B. and Frasson, C. (2017) Improving Intuitive Reasoning through Assistance Strategies in a Virtual Reality Game. The 13th International Flairs Conference, Marco Island, Florida, USA, May 22-24, 382-387.
Chaouachi, M., Jraidi, I. and Frasson, C. (2015) Adapting to Learners’ Mental States Using a Physiological Computing Approach. The 28th International Flairs Conference, Hollywood, Florida, USA, May 18-20, 257-262.
Aspinall, P., Mavros, P., Coyne, R. and Roe, J. (2015) The Urban Brain: Analysing Outdoor Physical Activity with Mobile EEG. British Journal of Sports Medicine, 49, 272-276. https://doi.org/10.1136/bjsports-2012-091877
Maskey, M., Rodgers, J., Ingham, B., et al. (2019) Using Virtual Reality Environments to Augment Cognitive Behavioral Therapy for Fears and Phobias in Autistic Adults. Autism in Adulthood, 1, 134-145. https://doi.org/10.1089/aut.2018.0019
De la Torre-Luque, A., Caparros-Gonzalez, R.A. and Bastard, T., Vico, F.J. and Buela-Casal, G. (2017) Acute Stress Recovery through Listening to Melomics Relaxing Music: A Randomized Controlled Trial. Nordic Journal of Music Therapy, 26, 124-141. https://doi.org/10.1080/08098131.2015.1131186
Rathbone, C.J., Moulin, C.J. and Conway, M.A. (2008) Self-Centered Memories: The Reminiscence Bump and the Self. Memory & Cognition, 36, 1403-1414. https://doi.org/10.3758/MC.36.8.1403
Valdez, P. and Mehrabian, A. (1994) Effects of Color on Emotions. Journal of Experimental Psychology, General, 123, 394-409. https://doi.org/10.1037/0096-3445.123.4.394
Sherlin, L.H., Arns, M., Lubar, J., et al. (2011) Neurofeedback and Basic Learning Theory: Implications for Research and Practice. Journal of Neurotherapy, 15, 292-304. https://doi.org/10.1080/10874208.2011.623089
Watson, D., Clark, L.A. and Tellegen, A. (1988) Development and Validation of Brief Measures of Positive and Negative Affect: The PANAS Scales. Journal of Personality and Social Psychology, 54, 1063-1070. https://doi.org/10.1037/0022-3514.54.6.1063
Kennedy, R.S., Lane, N.E., Berbaum, K.S. and Lilienthal, M.G. (1993) Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness. The International Journal of Aviation Psychology, 3, 203-220. https://doi.org/10.1207/s15327108ijap0303_3
Lallemand, C., Koenig, V., Gronier, G. and Martin, R. (2015) Création et validation d’une version française du questionnaire AttrakDiff pour l’évaluation de l’expérience utilisateur des systèmes interactifs. European Review of Applied Psychology, 65, 239-252. https://doi.org/10.1016/j.erap.2015.08.002
Brown, S., Martinez, M.J. and Parsons, L.M. (2004) Passive Music Listening Spontaneously Engages Limbic and Paralimbic Systems. NeuroReport, 15, 2033-2037. https://doi.org/10.1097/00001756-200409150-00008
Menon, V. and Levitin, D.J. (2005) The Rewards of Music Listening: Response and Physiological Connectivity of the Mesolimbic System. Neurolmage, 28, 175-184. https://doi.org/10.1016/j.neuroimage.2005.05.053
Chaouachi, M. and Frasson, C. (2012) Mental Workload, Engagement and Emotions: An Exploratory Study for Intelligent Tutoring Systems. In: Cerri, S.A., Clancey, W.J., Papadourakis, G. and Panourgia, K., Eds., Intelligent Tutoring Systems, ITS 2012, Lecture Notes in Computer Science, Springer, Berlin, 65-71. https://doi.org/10.1007/978-3-642-30950-2_9
Jensen, U., Lewsi, B., Tranel, D. and Adolphs, R. (2004) Emotion Enhances Long-Term Declarative Memory. Proceedings of the Society for Neuroscience, 203-209.