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Center for Music in the Brain

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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., 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

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

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

McCulloch, D. E. W., Knudsen, G. M., Barrett, F. S., Doss, M. K., Carhart-Harris, R. L., Rosas, F. E., Deco, G., Kringelbach, M. L., Preller, K. H., Ramaekers, J. G., Mason, N. L., Müller, F. & Fisher, P. M. D. (2022). Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses. Neuroscience and Biobehavioral Reviews, 138, Article 104689. https://doi.org/10.1016/j.neubiorev.2022.104689

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

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

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., 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., Stupacher, J. & Vuust, P. (2023). The pleasurable urge to move to music through the lens of learning progress. Journal of Cognition, 6(1), Article 55. https://doi.org/10.5334/joc.320

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., Vuust, P. & Cannon, J. (2025). An Active Inference Model of Meter Perception and the Urge to Move to Music. Annals of the New York Academy of Sciences. Advance online publication. https://doi.org/10.1111/nyas.70129

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. (2019). Simultaneous performance of rhythm and beat: A bodily hierarchy. Poster session presented at Brain, Music and Cognition 2019, Jerusalem, Israel.

Mårup, S. H., Møller, C. & Vuust, P. (2021). A bodily hierarchy of rhythm performance – effects of musicianship. Abstract from Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Mårup, S. H., Kleber, B. A. & Vuust, P. (2021). Neural Correlates of Motor Coordination During Rhythmic Tension. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

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

Mårup, S. H. (2025). The bodily hierarchy of rhythm and beat production in brain and behavior. [PhD thesis, Aarhus University].

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

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

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

Maldarelli, G., Dissegna, A., Ravignani, A. & Chiandetti, C. (2024). Chicks produce consonant, sometimes jazzy, sounds. Biology Letters, 20(9), Article 20240374. https://doi.org/10.1098/rsbl.2024.0374

Magee, W. L. & Stewart, L. (2015). The challenges and benefits of a genuine partnership between Music Therapy and Neuroscience: a dialog between scientist and therapist. Frontiers in Human Neuroscience, 9, 223. https://doi.org/10.3389/fnhum.2015.00223

Magami, K., Bianco, R., Hall, E., Pearce, M. & Chait, M. (2025). The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG. European Journal of Neuroscience, 62(10), Article e70300. https://doi.org/10.1111/ejn.70300

Magalhães, R., Picó-Pérez, M., Esteves, M., Vieira, R., Castanho, T. C., Amorim, L., Sousa, M., Coelho, A., Fernandes, H. M., Cabral, J., Moreira, P. S. & Sousa, N. (2021). Habitual coffee drinkers display a distinct pattern of brain functional connectivity. Molecular Psychiatry, 26(11), 6589-6598. https://doi.org/10.1038/s41380-021-01075-4

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

Luppi, A. I., Vohryzek, J., Kringelbach, M. L., Mediano, P. A. M., Craig, M. M., Adapa, R., Carhart-Harris, R. L., Roseman, L., Pappas, I., Peattie, A. R. D., Manktelow, A. E., Sahakian, B. J., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Menon, D. K., Atasoy, S. & Stamatakis, E. A. (2023). Distributed harmonic patterns of structure-function dependence orchestrate human consciousness. Communications Biology, 6(1), Article 117. https://doi.org/10.1038/s42003-023-04474-1

Luppi, A. I., Cabral, J., Cofre, R., Mediano, P. A. M., Rosas, F. E., Qureshi, A. Y., Kuceyeski, A., Tagliazucchi, E., Raimondo, F., Deco, G., Shine, J. M., Kringelbach, M. L., Orio, P., Ching, S. N., Sanz Perl, Y., Diringer, M. N., Stevens, R. D. & Sitt, J. D. (2023). Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 275, Article 120162. https://doi.org/10.1016/j.neuroimage.2023.120162

Luppi, A. I., Rosas, F. E., Noonan, M. A. P., Mediano, P. A. M., Kringelbach, M. L., Carhart-Harris, R. L., Stamatakis, E. A., Vernon, A. C. & Turkheimer, F. E. (2024). Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution. Neuroscientist, 30(2), 173-198. https://doi.org/10.1177/10738584221138032

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Music-induced analgesia: How does music relieve pain? Pain, 160(5), 989-993. https://doi.org/10.1097/j.pain.0000000000001452

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Reply to Martin-Saavedra and Saade-Lemus. Pain, 160(6), 1483-1484. https://doi.org/10.1097/j.pain.0000000000001534

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A., Kirsch, I., Møller, A. & Vase, L. (2022). Music-induced analgesia in healthy participants is associated with expected pain levels but not opioid or dopamine-dependent mechanisms. Frontiers in Pain Research, 3, Article 734999. https://doi.org/10.3389/fpain.2022.734999

Lund, H. N., Kreutz, G. & Jespersen, K. V. (2019). Music and sleep: Improving mental health.

Lumaca, M. & Baggio, G. (2017). Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games. Artificial Life, 23(3), 406-423. https://doi.org/10.1162/ARTL_a_00238

Lumaca, M. & Baggio, G. (2018). Signaling games and the evolution of structure in language and music: A reply to Ravignani & Verhoef (2018). Artificial Life, 24(2), 154. https://doi.org/10.1162/artl_a_00258

Lumaca, M., Ravignani, A. & Baggio, G. (2018). Music evolution in the laboratory: Cultural transmission meets neurophysiology. Frontiers in Neuroscience, 12(APR), 246. Article 246. https://doi.org/10.3389/fnins.2018.00246

Lumaca, M., Haumann, N. T., Vuust, P., Brattico, E. & Baggio, G. (2018). From random to regular: Neural constraints on the emergence of isochronous rhythm during cultural transmission. Social Cognitive and Affective Neuroscience, 13(8), 877-888. https://doi.org/10.1093/scan/nsy054

Lumaca, M., Haumann, N. T., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. European Journal of Neuroscience, 49(12), 1597-1609. https://doi.org/10.1111/ejn.14329

Lumaca, M., Vuust, P. & Dietz, M. (2019). Dynamic causal modelling of effective connectivity during music perception. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Lumaca, M., Trusbak Haumann, N., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. 1597-1609. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy. https://doi.org/10.1111/ejn.14329

Lumaca, M., Kleber, B., Brattico, E., Vuust, P. & Baggio, G. (2019). Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems. eLife, 8, Article e48710. https://doi.org/10.7554/eLife.48710

Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2019). Learning of complex auditory patterns changes intrinsic and feedforward effective connectivity between Heschl’s gyrus and planum temporale. bioRxiv. https://doi.org/10.1101/848416

Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2021). Perceptual learning of tone patterns changes the effective connectivity between Heschl's gyrus and planum temporale. Human Brain Mapping, 42(4), 941-952. https://doi.org/10.1002/hbm.25269

Lumaca, M., Baggio, G. & Vuust, P. (2021). White matter variability in auditory callosal pathways contributes to variation in the cultural transmission of auditory symbolic systems. Brain Structure & Function, 226(6), 1943–1959. https://doi.org/10.1007/s00429-021-02302-y

Lumaca, M., Vuust, P. & Baggio, G. (2022). Network Analysis of Human Brain Connectivity Reveals Neural Fingerprints of a Compositionality Bias in Signaling Systems. Cerebral Cortex, 32(8), 1704-1720. https://doi.org/10.1093/cercor/bhab307

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