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Center for Music in the Brain

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Nieminen, S., Istok, E., Brattico, E. & Tervaniemi, M. (2012). The development of the aesthetic experience of music: Preference, emotions, and beauty. Musicae Scientiae, 16(3), 372-391. https://doi.org/10.1177/1029864912450454

Nielsen, A. H., Horn, N. T., Derdau Sørensen, S., Mcgregor, W. & Wallentin, M. (2015). Intensive foreign language learning reveals effects on categorical perception of sibilant voicing after only 3 weeks. i-Perception, 6(6), 1-26.

Nartallo-Kaluarachchi, R., Asllani, M., Deco, G., Kringelbach, M. L., Goriely, A. & Lambiotte, R. (2024). Broken detailed balance and entropy production in directed networks. Physical Review E, 110(3), Article 034313. https://doi.org/10.1103/PhysRevE.110.034313

Nartallo-Kaluarachchi, R., Bonetti, L., Fernández-Rubio, G., Vuust, P., Deco, G., Kringelbach, M. L., Lambiotte, R. & Goriely, A. (2025). Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics. Proceedings of the National Academy of Sciences of the United States of America, 122(10), Article e2408791122. https://doi.org/10.1073/pnas.2408791122

Näätänen, R., Petersen, B., Torppa, R., Lonka, E. & Vuust, P. (2017). The MMN as a viable and objective marker of auditory development in CI users. Hearing Research, 353(353), 57-75. https://doi.org/10.1016/j.heares.2017.07.007

Müllensiefen, D., Fry, J., Jones, R., Jilka, S., Stewart, L. & Williamson, V. J. (2014). Individual differences predict patterns in spontaneous involuntary musical imagery. Music Perception, 31(4), 323-338. https://doi.org/10.1525/MP.2014.31.4.323

Müllensiefen, D., Gingras, B., Musil, J. & Stewart, L. (2014). The musicality of non-musicians: an index for assessing musical sophistication in the general population. PLoS One, 9(2), e89642. https://doi.org/10.1371/journal.pone.0089642

Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2010). Aesthetic judgments of music in experts and laypersons - An ERP study. International Journal of Psychophysiology, 76(1), 40-51. https://doi.org/10.1016/j.ijpsycho.2010.02.002

Moumdjian, L., Rosso, M., Manto, M. & Keller, P. E. (2026). Adaptation and anticipation mechanisms under unpredictable auditory perturbations: The role of perturbation type, stimulus complexity and cerebellar impairment. Behavioural Brain Research, 513, Article 116302. https://doi.org/10.1016/j.bbr.2026.116302

Moumdjian, L., Feys, P., Moens, B., Manto, M., Cabaraux, P., Van Weijmeersch, B., Kotz, S. A., Leman, M. & Rosso, M. (2025). The effect of stimulus type and tempo on sensorimotor synchronization during finger-tapping in cerebellar ataxia: Behavioral and neural evidence. Cortex, 187, 111-123. https://doi.org/10.1016/j.cortex.2025.04.005

Monti, J. M., Perl, Y. S., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2025). Fluctuation-dissipation theorem and the discovery of distinctive off-equilibrium signatures of brain states. Physical Review Research , 7(1), Article 013301. https://doi.org/10.1103/PhysRevResearch.7.013301

Møller, C. (2021). At klappe i takt. Turbulens. https://turbulens.net/at-klappe-i-takt/

Møller, C., Garza-Villarreal, E. A., Hansen, N. C., Højlund, A., Bærentsen, K. B., Chakravarty, M. M. & Vuust, P. (2021). Audiovisual structural connectivity in musicians and non-musicians: a cortical thickness and diffusion tensor imaging study. Scientific Reports, 11(1), Article 4324. https://doi.org/10.1038/s41598-021-83135-x

Møller, C., Stupacher, J., Celma-Miralles, A. & Vuust, P. (2021). Beat perception in polyrhythms: Time is structured in binary units. PLoS One, 16(8 ), Article e0252174. https://doi.org/10.1371/journal.pone.0252174

Møller, C. (2018). Ph.d-stafet: At høre med øjnene. P - Psykologernes fagmagasin, 4. årgang(10), 26-28.

Møller, C., Celma-Miralles, A., Borges, H. B., Stupacher, J., Christensen, C. B., Vuust, P. & Kidmose, P. (2026). Polyrhythms in the Brain: Metrical Priming, Acoustic Balance, and Perceptual Biases. Annals of the New York Academy of Sciences, 1559(1), Article e70290. https://doi.org/10.1111/nyas.70290

Møller, C., Hansen, N. C., Vuust, P. & Müllensiefen, D. (2024). The Danish Goldsmiths Musical Sophistication Index: Validation in Samples with Different Degrees of Representativeness. Music & Science, 7, 1-12. https://doi.org/10.1177/20592043241289087

Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. C. & Vuust, P. (2018). Visually induced gains in pitch discrimination: Linking audio-visual processing with auditory abilities. Attention, Perception, and Psychophysics, 80(4), 999-1010. https://doi.org/10.3758/s13414-017-1481-8

Moisseinen, N., Ahveninen, L., Martínez-Molina, N., Sairanen, V., Melkas, S., Kleber, B., Sihvonen, A. J. & Särkämö, T. (2024). Choir singing is associated with enhanced structural connectivity across the adult lifespan. Human Brain Mapping, 45(7), Article e26705. https://doi.org/10.1002/hbm.26705

Moisseinen, N., Särkämö, T., Kauramäki, J., Kleber, B., Sihvonen, A. J. & Martínez-Molina, N. (2023). Differential effects of ageing on the neural processing of speech and singing production. Frontiers in Aging Neuroscience, 15, Article 1236971. https://doi.org/10.3389/fnagi.2023.1236971

Moisseinen, N., Haavisto, A., Heimala, S., Martínez-Molina, N., Kleber, B., Sihvonen, A. J. & Särkämö, T. (2025). Neurocognitive and emotional benefits of choir singing and their mediating factors across adulthood. Aging Clinical and Experimental Research, 37(1), Article 272. https://doi.org/10.1007/s40520-025-03187-1

Mohseni, H. R., Kringelbach, M. L., Smith, P. P., Green, A. L., Parsons, C. E., Young, K. S., Brittain, J.-S., Hyam, J. A., Schweder, P. M., Stein, J. F. & Aziz, T. Z. (2010). Application of a null-beamformer to source localisation in MEG data of deep brain stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1, 4120-4123. https://doi.org/10.1109/IEMBS.2010.5627325

Mohseni, H. R., Smith, P. P., Parsons, C., Young, K. S., Hyam, J. A., Stein, A., Stein, J. F., Green, A. L., Aziz, T. Z. & Kringelbach, M. L. (2012). MEG can map short and long-term changes in brain activity following deep brain stimulation for chronic pain. PLoS One, 7(6), Article 37993. https://doi.org/10.1371/journal.pone.0037993

Moguilner, S., Herzog, R., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C., Kringelbach, M., Deco, G., Ibáñez, A. & Tagliazucchi, E. (2024). Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition. Alzheimer's Research & Therapy, 16(1), Article 79. https://doi.org/10.1186/s13195-024-01449-0

Mogensen, R. L. H., Hedegaard, M. B., Olsen, L. R. & Gebauer, L. (2020). Linking the Puzzle Pieces of the Past: A Study of Relational Memory in Children with Autism Spectrum Disorder. Autism Research, 13(11), 1959-1969. https://doi.org/10.1002/aur.2379

Mindlin, I., Herzog, R., Belloli, L., Manasova, D., Monge-Asensio, M., Vohryzek, J., Escrichs, A., Alnagger, N., Núñez, P., Gosseries, O., Kringelbach, M. L., Deco, G., Tagliazucchi, E., Naccache, L., Rohaut, B., Sitt, J. D. & Sanz Perl, Y. (2024). Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness. Communications Biology, 7(1), Article 1176. https://doi.org/10.1038/s42003-024-06852-9

Menouti, K., Akiva-Kabiri, L., Banissy, M. J. & Stewart, L. (2015). Timbre-colour synaesthesia: exploring the consistency of associations based on timbre. Cortex, 63, 1-3. https://doi.org/10.1016/j.cortex.2014.08.009

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), Article 979. https://doi.org/10.3389/fnins.2018.00979

Mencke, I., Omigie, D., Quiroga-Martinez, D. R. & Brattico, E. (2022). Atonal Music as a Model for Investigating Exploratory Behavior. Frontiers in Neuroscience, 16, Article 793163. https://doi.org/10.3389/fnins.2022.793163

Mencke, I., Seibert, C., Brattico, E. & Wald-Fuhrmann, M. (2023). Comparing the aesthetic experience of classic–romantic and contemporary classical music: An interview study. Psychology of Music, 51(1), 274-294. https://doi.org/10.1177/03057356221091312

Mencke, I., Quiroga-Martinez, D. R., Omigie, D., Michalareas, G., Schwarzacher, F., Haumann, N. T., Vuust, P. & Brattico, E. (2021). Prediction under uncertainty: Dissociating sensory from cognitive expectations in highly uncertain musical contexts. Brain Research, 1773, Article 147664. https://doi.org/10.1016/j.brainres.2021.147664

Mediano, P. A. M., Rosas, F. E., Timmermann, C., Roseman, L., Nutt, D. J., Feilding, A., Kaelen, M., Kringelbach, M. L., Barrett, A. B., Seth, A. K., Muthukumaraswamy, S., Bor, D. & Carhart-Harris, R. L. (2024). Effects of External Stimulation on Psychedelic State Neurodynamics. ACS Chemical Neuroscience, 15(3), 462-471. https://doi.org/10.1021/acschemneuro.3c00289

McDonald, C. & Stewart, L. (2008). Uses and functions of music in congenital amusia. Music Perception, 25(4), 345-355. https://doi.org/10.1525/MP.2008.25.4.345

Mazhari-Jensen, D. S., Jacobsen, S. L. & Jespersen, K. V. (2023). Inpatient stroke survivors with low gait functioning benefit from music interventions during cardiorespiratory exercise: A randomized cross-over trial. Nordic Journal of Music Therapy, 32(5), 462-481. https://doi.org/10.1080/08098131.2023.2190403

Mayayo, F., Celma-Miralles, A., Keller, P. E. & Toro, J. M. (2026). The role of competing grouping patterns and tonal coherence in neural synchronization to musical meter. Experimental Brain Research, 244(1), Article 18. https://doi.org/10.1007/s00221-025-07216-3

Matthews, T. E., Vuust, P. & Cannon, J. (2026). An Active Inference Model of Meter Perception and the Urge to Move to Music. Annals of the New York Academy of Sciences, 1556(1), Article e70129. https://doi.org/10.1111/nyas.70129

Matthews, T. E., Lumaca, M., Witek, M. A. G., Penhune, V. B. & Vuust, P. (2024). Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians. Brain Structure and Function, 229(9), 2299-2313. https://doi.org/10.1007/s00429-024-02836-x

Matthews, T. E., Witek, M. A. G., Thibodeau, J. L. N., Vuust, P. & Penhune, V. B. (2022). Perceived Motor Synchrony With the Beat is More Strongly Related to Groove Than Measured Synchrony. Music Perception, 39(5), 423-442. https://doi.org/10.1525/MP.2022.39.5.423

Matthews, T. E., Witek, M. A. G., Lund, T., Vuust, P. & Penhune, V. B. (2020). The sensation of groove engages motor and reward networks. NeuroImage, 214, Article 116768. https://doi.org/10.1016/j.neuroimage.2020.116768

Matthews, T. E., Witek, M. A. G., Heggli, O. A., Penhune, V. B. & Vuust, P. (2019). The sensation of groove is affected by the interaction of rhythmic and harmonic complexity. PLoS One, 14(1), Article e0204539. https://doi.org/10.1371/journal.pone.0204539

Matrone, C. & Brattico, E. (2015). The Power of music on Alzheimer ’s Disease and the need to understand the underlying molecular mechanisms. Journal of Alzheimer's disease and parkinsonism, 5(3). https://doi.org/10.4172/2161-0460.1000196

Mårup, S. H., Møller, C. & Vuust, P. (2022). Coordination of voice, hands and feet in rhythm and beat performance. Scientific Reports, 12(1), Article 8046 . https://doi.org/10.1038/s41598-022-11783-8

Mårup, S. H., Kleber, B. A., Møller, C. & Vuust, P. (2024). When direction matters: Neural correlates of interlimb coordination of rhythm and beat. Cortex, 172, 86-108. https://doi.org/10.1016/j.cortex.2023.11.019

Martínez-Molina, N., Pitkäniemi, A., Siponkoski, S. T., Moisseinen, N., Kuusela, L., Laitinen, S., Särkämö, E. R., Pekkola, J., Melkas, S., Schlaug, G., Kleber, B., Sihvonen, A. J. & Särkämö, T. (2025). Functional neuroplasticity in chronic post-stroke aphasia following a singing intervention in a cross-over randomised trial. Scientific Reports, 15(1), Article 27639. https://doi.org/10.1038/s41598-025-11288-0

Martínez-Molina, N., Siponkoski, S. T., Pitkäniemi, A., Moisseinen, N., Kuusela, L., Pekkola, J., Laitinen, S., Särkämö, E. R., Melkas, S., Kleber, B., Schlaug, G., Sihvonen, A. & Särkämö, T. (2022). Neuroanatomical correlates of speech and singing production in chronic post-stroke aphasia. Brain Communications, 4(1), Article fcac001. https://doi.org/10.1093/braincomms/fcac001

Martin, K., Tomasek, M., Hivet, A., Ravignani, A., Obin, N. & Dufour, V. (2026). Rooks (Corvus frugilegus) can show spontaneous vocal flexibility when exposed to dynamically changing rhythmic sounds. Animal Cognition, 29(1), 18. Article 18. https://doi.org/10.1007/s10071-025-02038-w

Marin, M. M., Gingras, B. & Stewart, L. (2012). Perception of musical timbre in congenital amusia: categorization, discrimination and short-term memory. Neuropsychologia, 50(3), 367-78. https://doi.org/10.1016/j.neuropsychologia.2011.12.006

Mariani Wigley, I. L. C., Lautarescu, A., Vartiainen, E., Pulli, E. P., Hashempour, N., Merisaari, H., Bano, W., Luotonen, S., Jolly, A., Suuronen, I., Karlsson, L., Karlsson, H., Cabral, J., Kringelbach, M. L., Batalle, D., Edwards, A. D. & Tuulari, J. J. (2026). Investigating the influence of maternal prenatal BMI and perinatal depressive symptoms on neonatal brain network dynamics. Pediatric Research. Advance online publication. https://doi.org/10.1038/s41390-025-04726-2

Manriquez P, R., Kotz, S. A., Ravignani, A. & de Boer, B. (2024). Bioacoustic classification of a small dataset of mammalian vocalisations using deep learning. Bioacoustics, 33(4), 354-371. https://doi.org/10.1080/09524622.2024.2354468

Malvaso, C., Fernández-Rubio, G., Rosso, M., Serra, E., Rudi, V., Vuust, P., Kringelbach, M. L., Testa, C. & Bonetti, L. (2026). FREQ-NESS Reveals Age-Related Differences in Frequency-Resolved Brain Networks During Auditory Recognition and Resting State. Annals of the New York Academy of Sciences, 1562(1), Article e70349. https://doi.org/10.1111/nyas.70349

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