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Center for Music in the Brain

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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

Haumann, N. T., Parkkonen, L., Kliuchko, M., Vuust, P. & Brattico, E. (2016). Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study. Computational Intelligence and Neuroscience, 2016, 1-10. Article 7489108. https://doi.org/10.1155/2016/7489108

Deco, G., Sanz Perl, Y. & Kringelbach, M. L. (2025). Complex harmonics reveal low-dimensional manifolds of critical brain dynamics. Physical Review E, 111(1), Article 014410. https://doi.org/10.1103/PhysRevE.111.014410

Vuust, P., Liikala, L., Näätänen, R., Brattico, P. & Brattico, E. (2016). Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm. Clinical Neurophysiology, 4(127), 2065-2077. https://doi.org/10.1016/j.clinph.2015.11.009

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

Williamson, V. J. & Stewart, L. (2013). Congenital amusia. Handbook of Clinical Neurology, 111, 237-9. https://doi.org/10.1016/B978-0-444-52891-9.00024-5

Stewart, L. (2006). Congenital amusia. Current Biology, 16(21), R904-6. https://doi.org/10.1016/j.cub.2006.09.054

Stewart, L. & Walsh, V. (2002). Congenital amusia: all the songs sound the same. Current Biology, 12(12), R420-1.

Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Connectivity patterns during music listening: Evidence for action-based processing in musicians. Human Brain Mapping, 38(6), 2955. https://doi.org/10.1002/hbm.23565

Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G. & Carhart-Harris, R. L. (2017). Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD. Scientific Reports, 7(1), Article 17661. https://doi.org/10.1038/s41598-017-17546-0

Van Maldegem, M., Vohryzek, J., Atasoy, S., Alnagger, N., Cardone, P., Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Jaquet, O., Bahri, M. A., Nunez, P., Kringelbach, M. L., Stamatakis, E. A. & Luppi, A. I. (2025). Connectome harmonic decomposition tracks the presence of disconnected consciousness during ketamine-induced unresponsiveness. British Journal of Anaesthesia, 134(4), 1088-1104. https://doi.org/10.1016/j.bja.2024.12.036

Tiihonen, M., Brattico, E., Maksimainen, J., Wikgren, J. & Saarikallio, S. (2017). Constituents of music and visual-art related pleasure - A critical integrative literature review. Frontiers in Psychology, 8(JUL), Article 1218. https://doi.org/10.3389/fpsyg.2017.01218

Brattico, E., Naatanen, R. & Tervaniemi, M. (2001). Context effects on pitch perception in musicians and nonmusicians: Evidence from event-related-potential recordings. Music Perception, 19(2), 199-222.

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

Overath, T., Kumar, S., Stewart, L., von Kriegstein, K., Cusack, R., Rees, A. & Griffiths, T. D. (2010). Cortical mechanisms for the segregation and representation of acoustic textures. The Journal of neuroscience, 30(6), 2070-6. https://doi.org/10.1523/JNEUROSCI.5378-09.2010

Kohler, N., Novembre, G., Gugnowska, K., Keller, P. E., Villringer, A. & Sammler, D. (2023). Cortico-cerebellar audio-motor regions coordinate self and other in musical joint action. Cerebral Cortex, 33(6), 2804-2822. https://doi.org/10.1093/cercor/bhac243

Da Mota, P. A., Fernandes, H. M., Lourenço Queiroga, A. T., Stark, E., Vohryzek, J., Cabral, J., Heggli, O. A., Sousa, N., Deco, G., Kringelbach, M. & Vuust, P. (2025). Creativity in Music: The Brain Dynamics of Jazz Improvisation. Annals of the New York Academy of Sciences. Advance online publication. https://doi.org/10.1111/nyas.70042

Ponce-Alvarez, A., Kringelbach, M. L. & Deco, G. (2023). Critical scaling of whole-brain resting-state dynamics. Communications Biology, 6(1), Article 627. https://doi.org/10.1038/s42003-023-05001-y

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10(1), Article 10015. https://doi.org/10.1038/s41598-020-66529-1

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

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. W. (2018). Danish Validation of Sniffin' Sticks Olfactory Test for Threshold, Discrimination, and Identification. The Laryngoscope, 128(8), 1759-1766. https://doi.org/10.1002/lary.27052

Ahrends, C., Stevner, A., Pervaiz, U., Kringelbach, M. L., Vuust, P., Woolrich, M. W. & Vidaurre, D. (2022). Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage, 252, Article 119026. https://doi.org/10.1016/j.neuroimage.2022.119026

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020). Data augmentation based on dynamical systems for the classification of brain states. Chaos, Solitons and Fractals, 139, Article 110069. https://doi.org/10.1016/j.chaos.2020.110069

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), Article 854. https://doi.org/10.1038/s42003-021-02369-7

Saari, P., Burunat, I., Brattico, E. & Toiviainen, P. (2018). Decoding Musical Training from Dynamic Processing of Musical Features in the Brain. Scientific Reports, 8(1), Article 708. https://doi.org/10.1038/s41598-018-19177-5

Quiroga-Martinez, D. R., Fernández-Rubio, G., Bonetti, L., Achyutuni, K. G., Tzovara, A., Knight, R. T. & Vuust, P. (2024). Decoding reveals the neural representation of perceived and imagined musical sounds. PLoS Biology, 22(10), Article e3002858. https://doi.org/10.1371/journal.pbio.3002858

Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2025). Decoding the elite soccer player's psychological profile. Proceedings of the National Academy of Sciences of the United States of America, 122(3), e2415126122. Article e2415126122. https://doi.org/10.1073/pnas.2415126122

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, Article 116816. https://doi.org/10.1016/j.neuroimage.2020.116816

Bonetti, L., Vænggård, A. K., Iorio, C., Vuust, P. & Lumaca, M. (2024). Decreased inter-hemispheric connectivity predicts a coherent retrieval of auditory symbolic material. Biological Psychology, 193, Article 108881. https://doi.org/10.1016/j.biopsycho.2024.108881

Alonso, S., Tyborowska, A., Ikani, N., Mocking, R. J. T., Figueroa, C. A., Schene, A. H., Deco, G., Kringelbach, M. L., Cabral, J. & Ruhé, H. G. (2023). Depression recurrence is accompanied by longer periods in default mode and more frequent attentional and reward processing dynamic brain-states during resting-state activity. Human Brain Mapping, 44(17), 5770-5783. https://doi.org/10.1002/hbm.26475

Crespo-Bojorque, P., Celma-Miralles, A. & Toro, J. M. (2022). Detecting surface changes in a familiar tune: exploring pitch, tempo and timbre. Animal Cognition, 25(4), 951-960. https://doi.org/10.1007/s10071-022-01604-w

Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D. & Stewart, L. (2015). Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology, 6, 9. https://doi.org/10.3389/fpsyg.2015.00009

Garrido, L., Eisner, F., McGettigan, C., Stewart, L., Sauter, D., Hanley, J. R., Schweinberger, S. R., Warren, J. D. & Duchaine, B. (2009). Developmental phonagnosia: a selective deficit of vocal identity recognition. Neuropsychologia, 47(1), 123-31. https://doi.org/10.1016/j.neuropsychologia.2008.08.003

O'Kelly, J. & Bodak, R. (2016). Development of the music therapy assessment Tool for advanced Huntington’s disease: A pilot validation study. Journal of Music Therapy, 53(3), 232-256. https://doi.org/10.1093/jmt/thw006

Dai, R., Toiviainen, P., Campo, F., Cantou, P., Fasano, M. C., Kleber, B. A., Vuust, P. & Brattico, E. (2025). Differences in dynamic functional connectivity between naturalistic music listening and rest in preadolescents. Frontiers in Human Neuroscience, 19, Article 1651074. https://doi.org/10.3389/fnhum.2025.1651074, https://doi.org/10.3389/fnhum.2025.1651074

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E. & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), Article 1035. https://doi.org/10.1038/s41467-019-08934-3

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), Article 13638. https://doi.org/10.1038/s41598-019-50093-4

Padilla, N., Escrichs, A., Del Agua, E., Kringelbach, M., Donaire, A., Deco, G. & Åden, U. (2023). Disrupted resting-sate brain network dynamics in children born extremely preterm. Cerebral Cortex, 33(13), 8101-8109. https://doi.org/10.1093/cercor/bhad101

Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017). Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. https://doi.org/10.1037/aca0000090

Bruzzone, S. E. P., Lumaca, M., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study. Scientific Reports, 12(1), Article 4746. https://doi.org/10.1038/s41598-022-08521-5

Ross, S. & Hansen, N. C. (2016). Dissociating Prediction Failure: Considerations from Music Perception. The Journal of Neuroscience, 36(11), 3103. https://doi.org/10.1523/JNEUROSCI.0053-16.2016

Kohler, N., Czepiel, A. M., de Manzano, Ö., Novembre, G., Keller, P. E., Villringer, A. & Sammler, D. (2025). Distinct and content-specific neural representations of self- and other-produced actions in joint piano performance. Frontiers in Human Neuroscience, 19, Article 1543131. https://doi.org/10.3389/fnhum.2025.1543131

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2025). Distinct movement related changes in EEG and ECeG power during finger and foot movement. Neuroscience Letters, 853, Article 138207. https://doi.org/10.1016/j.neulet.2025.138207

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

Heggli, O. A., Stupacher, J. & Vuust, P. (2021). Diurnal fluctuations in musical preference. Royal Society Open Science, 8(11), Article 210885. https://doi.org/10.1098/rsos.210885

Stewart, L. (2008). Do musicians have different brains? Clinical Medicine, 8(3), 304-8.

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Pando-Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza-Villarreal, E. A., Witek, M. A. G., Penhune, V. & Vuust, P. (2024). Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms. European Journal of Neuroscience, 59(1), 101-118. https://doi.org/10.1111/ejn.16128

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Parsons, C. E., Young, K. S., Petersen, M. V., Jegindoe Elmholdt, E.-M., Vuust, P., Stein, A. & Kringelbach, M. L. (2017). Duration of motherhood has incremental effects on mothers' neural processing of infant vocal cues: a neuroimaging study of women. Scientific Reports, 7(1), Article 1727. https://doi.org/10.1038/s41598-017-01776-3

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