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Center for Music in the Brain

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Engler, B., Zamm, A. & Møller, C. (2024). The complex dynamics of spontaneous rates in musicians and non-musicians: Intra-individual stability and inter-individual differences. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

Brattico, E. (2006). The cognitive neuroscience of music. Musicae Scientiae, 10(1), 130-137.

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing. Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2021). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing: The CI MuMuFe. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

Trusbak Haumann, N., Petersen, B., Friis Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2021). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing.

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, Article 2. https://doi.org/10.3389/fnins.2020.00002

Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, Article 116191. https://doi.org/10.1016/j.neuroimage.2019.116191

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

Fasano, M. C., Glerean, E., Gold, B., Sheng, D., Sams, M., Rauschecker, J., Vuust, P. & Brattico, E. (2017). The brain correlates of engagement in music performance: A behavioral and fMRI study. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

Bonetti, L. & Costa, M. (2016). The Bologna tower paradox: An architectural zoom lens illusion in framed visual perception. In European Conference on Visual Perception (ECVP), University of Barcelona (Spain)

van der Werff, J., Ravignani, A. & Jadoul, Y. (2024). thebeat: A Python package for working with rhythms and other temporal sequences. Behavior Research Methods, 56(4), 3725-3736. https://doi.org/10.3758/s13428-023-02334-8

Stupacher, J., Møller, C., Celma-Miralles, A. & Vuust, P. (2021). The bass lays down the beat in polyrhythms. Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Scarratt, R. J., Heggli, O. A., Vuust, P. & Jespersen, K. V. (2023). The audio features of sleep music: universal and subgroup characteristics. P L o S One, 18(1), Article e0278813. https://doi.org/10.1371/journal.pone.0278813

Kliuchko, M., Heinonen-Guzejev, M., Monacis, L., Gold, B., Heikkilä, K., Spinosa, V., Tervaniemi, M. & Brattico, E. (2015). The association of noise sensitivity with music listening, training, and aptitude. Noise and Health, 17(78), 350-357. https://doi.org/10.4103/1463-1741.165065

Buus, R. M., Genovese, S. & Jespersen, K. V. (2025). The art of sleep: examining sleep strategies in the general population with a focus on the use of music for sleep. Journal of Sleep Research. Advance online publication. https://doi.org/10.1111/jsr.70006

Peretz, I., Brattico, E., Jarvenpaa, M. & Tervaniemi, M. (2009). The amusic brain: in tune, out of key, and unaware. Brain, 132, 1277-1286. https://doi.org/10.1093/brain/awp055

Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S., Kringelbach, M. L., Deco, G., Tagliazucchi, E. & Ibañez, A. (2023). Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease. The Journal of Neuroscience, 43(9), 1643-1656. https://doi.org/10.1523/JNEUROSCI.1312-22.2022

Basiński, K., Quiroga-Martinez, D. R. & Vuust, P. (2023). Temporal hierarchies in the predictive processing of melody: From pure tones to songs. Neuroscience and Biobehavioral Reviews, 145, Article 105007. https://doi.org/10.1016/j.neubiorev.2022.105007

Stupacher, J. & Mårup, S. H. (Eds.) (2021). SysMus21 Conference Proceedings. Aarhus University. https://doi.org/10.17605/OSF.IO/HG6RZ

Waade, P. T., Zubek, J., Foster Vander Elst, O., Ring, L., Slivkaitė, R., Zamm, A., Baglini, R. B., Bamford, J. S., Rosas, F. E., Mediano, P. A. M., Vesper, C. & Tylén, K. (2023). Synergy and Synchrony in Dynamic Social Coordination: A Motion Capture Study of Improvised Lindy Hop Partner Dance.

Shinozuka, K., Jerotic, K., Mediano, P., Zhao, A. T., Preller, K. H., Carhart-Harris, R. & Kringelbach, M. L. (2024). Synergistic, multi-level understanding of psychedelics: three systematic reviews and meta-analyses of their pharmacology, neuroimaging and phenomenology. Translational Psychiatry, 14(1), Article 485. https://doi.org/10.1038/s41398-024-03187-1

Witek, M. A. G., Popescu, T., Clarke, E. F., Hansen, M., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2017). Syncopation affects free body-movement in musical groove. Experimental Brain Research, 235(4), 995-1005. https://doi.org/10.1007/s00221-016-4855-6

Corcoran, C., Stupacher, J. & Vuust, P. (2022). Swinging the Score? Swing Phrasing Cannot Be Communicated via Explicit Notation Instructions Alone. Music Perception, 39(4), 386-400. https://doi.org/10.1525/MP.2022.39.4.386

Foster Vander Elst, O., Vuust, P. & Kringelbach, M. L. (2021). Sweet anticipation and positive emotions in music, groove, and dance. Current Opinion in Behavioral Sciences, 39, 79-84. https://doi.org/10.1016/j.cobeha.2021.02.016

Brattico, E. & Jacobsen, T. (2009). Subjective Appraisal of Music Neuroimaging Evidence. Annals of the New York Academy of Sciences, 308-317. https://doi.org/10.1111/j.1749-6632.2009.04843.x

Donaire, A., Padilla, N., Escrichs, A., Khawja, M., Setoain, X., Rumia, J., Roldan, P., Bargallo, N., Boget, T., Pintor, L., Centeno, M., Conde, E., Vernet, O., Buendía, J., Manzanares, I., Ådén, U., Carreño, M., Kringelbach, M. & Deco, G. (2024). Subject-based assessment of large-scale integration dynamics in epileptic brain networks: insights from the intrinsic ignition framework. Cerebral cortex (New York, N.Y. : 1991), 34(10), Article bhae419. https://doi.org/10.1093/cercor/bhae419

Alluri, V., Toiviainen, P. & Brattico, E. (2015). Subcortical network hub differences in musicians and non-musicians during continuous listening to music. Abstract from ICME4, Geneve, Switzerland.

Heinonen-Guzejev, M., Kliuchko, M., Vuust, P., Tervaniemi, M., Brattico, E., Shepherd, D., Heikkilä, K., Dirks, K. N., Hautus, M. J., Welch, D. & McBride, D. (2018). Studying the origins of noise sensitivity - negative affect or biological factors. 521-525. Paper presented at Euronoise, Heraklion, Greece. http://www.euronoise2018.eu/component/contentbuilder/details/11/110/euronoise-2018-10-health-effects-of-sound?Itemid=256&start=0

Heinonen-Guzejev, M., Kliuchko, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2017). Studying noise sensitivity on the brain level. Abstract from 12th ICBEN Congress on Noise as a Public Health Problem, Zurich, Switzerland.

Perl, Y. S., Escrichs, A., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2022). Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics. PLOS Computational Biology, 18(11), Article e1010662. https://doi.org/10.1371/journal.pcbi.1010662

Williamson, V. J., Liikkanen, L. A., Jakubowski, K. & Stewart, L. (2014). Sticky tunes: how do people react to involuntary musical imagery? PLOS ONE, 9(1), e86170. https://doi.org/10.1371/journal.pone.0086170

Pearce, M. (2018). Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. Annals of the New York Academy of Sciences, 1423(1), 378-395. https://doi.org/10.1111/nyas.13654

Verga, L., Sroka, M. G. U., Varola, M., Villanueva, S. & Ravignani, A. (2022). Spontaneous rhythm discrimination in a mammalian vocal learner. Biology Letters, 18(10), 20220316. Article 20220316. https://doi.org/10.1098/rsbl.2022.0316

Engler, B., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. PsyArXiv. https://doi.org/10.31234/osf.io/wtnax

Engler, B. H., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. Scientific Reports, 14(1), Article 14876. https://doi.org/10.1038/s41598-024-65788-6

Engler, B., Zamm, A. & Møller, C. (2024). Spontaneous rates are consistent across domains of behavior involving different biomechanical constraints and cognitive demands.

Bonetti, L., Brattico, E., Carlomagno, F., Cabral, J., Stevner, A., Deco, G., Whybrow, P. C., Pearce, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal whole-brain activity and functional connectivity of melodies recognition. Cerebral Cortex, 34(8), Article e320. https://doi.org/10.1093/cercor/bhae320

Bonetti, L., Fernández-Rubio, G., Carlomagno, F., Dietz, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding. Nature Communications, 15(1), Article 4313. https://doi.org/10.1038/s41467-024-48302-4

Lapenta, O. M., Keller, P. E., Nozaradan, S. & Varlet, M. (2023). Spatial and temporal (non)binding of audiovisual rhythms in sensorimotor synchronisation. Experimental Brain Research, 241(3), 875-887. https://doi.org/10.1007/s00221-023-06569-x

P, K., M, G., Bodak, R. & Stewart, L. (2015). Sounds Within Reach: Enriched Environments for Physical Rehabilitation of the Upper Limb. Poster session presented at Examining the Utility of Music Interventions in Neurological Disorders of Older People, United Kingdom.

Peng-Li, D., Alves da Mota, P., Costa Correa, C. M., Chan, R. C. K., Byrne, D. V. & Wang, Q. J. (2022). “Sound” Decisions: The Combined Role of Ambient Noise and Cognitive Regulation on the Neurophysiology of Food Cravings. Frontiers in Neuroscience, 16, Article 827021. https://doi.org/10.3389/fnins.2022.827021

Møller, C., Zamm, A. & Engler, B. (2024). Slower spontaneous rates are linked to better performance in pitch discrimination tasks. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

Choubey, A., Morgan, S., Genovese, S., van Buijtene, T., Saberi, A., Partmann, A., Sabhapondit, B., George, M., O'Leary, T. & Hu, Z. (2025). Sleeping Soundly: an Interdisciplinary Approach to Communicating Individual Sleep Experiences Through a Shared Sonic Domain. In Proceedings of Conference on Sonification of Health and Environmental Data (SoniHED 2025) https://doi.org/10.5281/zenodo.15032422

Hoegholt, N. F., Buus, S., Stevner, A. B. A., Sui, J., Vuust, P. & Kringelbach, M. L. (2023). Sleep-deprived new mothers gave their infants a higher priority than themselves. Acta Paediatrica, International Journal of Paediatrics, 112(1), 93-99. https://doi.org/10.1111/apa.16560

Deco, G., Cabral, J., Woolrich, M. W., Stevner, A. B. A., van Hartevelt, T. J. & Kringelbach, M. L. (2017). Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. NeuroImage, 152(152), 538-550. https://doi.org/10.1016/j.neuroimage.2017.03.023

Zamorano, A. M., Zatorre, R. J., Vuust, P., Friberg, A., Birbaumer, N. & Kleber, B. (2023). Singing training predicts increased insula connectivity with speech and respiratory sensorimotor areas at rest. Brain Research, 1813, Article 148418. https://doi.org/10.1016/j.brainres.2023.148418

Petersen, B., Mortensen, M. V., Hansen, M. & Vuust, P. (2011). Singing in the key of life - musical ear training enhances musical abilities after cochlear implantation. Poster session presented at The Neurosciences and Music - IV, Edinburgh, United Kingdom.

Petersen, B., Mortensen, M. V., Hansen, M. & Vuust, P. (2012). Singing in the key of life: A study on effects of musical ear training after cochlear implantation. Psychomusicology: Music, Mind & Brain, 22(2), 134-151. https://doi.org/10.1037/a0031140

Kaasgaard, M. (2022). Singing in Pulmonary Rehabilitation of Patients with Chronic Obstructive Pulmonary Disease (COPD). Århus Universitet.

Kaasgaard, M., Rasmussen, D. B., Løkke, A., Vuust, P., Hilberg, O. & Bodtger, U. (2020). Sing-a-Lung: Group singing as training modality in pulmonary rehabilitation for patients with Chronic Obstructive Pulmonary Disease (COPD): A multicenter, cluster-randomised, non-inferiority, controlled trial. https://doi.org/10.1183/13993003.congress-2020.4663

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