Center for Music in the Brain

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Hancock, F., Rosas, F. E., Luppi, A. I., Zhang, M., Mediano, P. A. M., Cabral, J., Deco, G., Kringelbach, M. L., Breakspear, M., Kelso, J. A. S. & Turkheimer, F. E. (2025). Metastability demystified — the foundational past, the pragmatic present and the promising future. Nature Reviews Neuroscience, 26(2), 82-100. Article e1000072. https://doi.org/10.1038/s41583-024-00883-1
Garza-Villarreal, E. A., Pando, V., Vuust, P. & Parsons, C. (2017). Music-Induced Analgesia in Chronic Pain Conditions: A Systematic Review and Meta-Analysis. Pain Physician, 20(7), 597-610.
Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5
Reybrouck, M., Vuust, P. & Brattico, E. (2021). Neural Correlates of Music Listening: Does the Music Matter? Brain sciences, 11(12), Article 1553. https://doi.org/10.3390/BRAINSCI11121553
Reybrouck, M. & Brattico, E. (2015). Neuroplasticity beyond sounds: Neural adaptations following long-term musical aesthetic experiences. Brain Research, 5(1), 69-91. https://doi.org/10.3390/brainsci5010069
Tiihonen, M., Westner, B. U., Butz, M. & Dalal, S. S. (2021). Parkinson’s disease patients benefit from bicycling - a systematic review and meta-analysis. npj Parkinson's Disease , 7(1), Article 86. https://doi.org/10.1038/s41531-021-00222-6
Brattico, E. & Sassanelli, F. (2000). Perception and musical preferences in Wishart's work. Journal of New Music Research, 29(2), 107-119.
Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006
Kringelbach, M. L. & Deco, G. (2024). Prefrontal cortex drives the flexibility of whole-brain orchestration of cognition. Current Opinion in Behavioral Sciences, 57, Article 101394. https://doi.org/10.1016/j.cobeha.2024.101394
Jerotic, K., Vuust, P. & Kringelbach, M. L. (2024). Psychedelia: The interplay of music and psychedelics. Annals of the New York Academy of Sciences, 1531(1), 12-28. https://doi.org/10.1111/nyas.15082
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
Daffertshofer, A., Ton, R., Pietras, B., Kringelbach, M. L. & Deco, G. (2018). Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? NeuroImage, 180, 428-441. https://doi.org/10.1016/j.neuroimage.2018.03.070
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
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
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
Nieminen, S., Istok, E., Brattico, E., Tervaniemi, M. & Huotilainen, M. (2011). The development of aesthetic responses to music and their underlying neural and psychological mechanisms. Cortex, 47(9), 1138-1146. https://doi.org/10.1016/j.cortex.2011.05.008
Hoffmann, C. S., Hoegholt, N. F., Vuust, P., Kringelbach, M. & Jespersen, K. V. (2025). The effect of music on pregnancy-related insomnia: A systematic review and meta-analysis. Midwifery, 142, Article 104294. https://doi.org/10.1016/j.midw.2025.104294
Jespersen, K. V., Hansen, M. H. & Vuust, P. (2023). The effect of music on sleep in hospitalized patients: A systematic review and meta-analysis. Sleep Health, 9(4), 441-448. https://doi.org/10.1016/j.sleh.2023.03.004
Verga, L., Kotz, S. A. & Ravignani, A. (2023). The evolution of social timing. Physics of Life Reviews, 46, 131-151. https://doi.org/10.1016/j.plrev.2023.06.006
Carraturo, G., Pando-Naude, V., Costa, M., Vuust, P., Bonetti, L. & Brattico, E. (2025). The major-minor mode dichotomy in music perception. Physics of Life Reviews, 52, 80-106. https://doi.org/10.1016/j.plrev.2024.11.017
Young, K. S., Parsons, C. E., Stein, A., Vuust, P., Craske, M. G. & Kringelbach, M. L. (2017). The neural basis of responsive caregiving behaviour: Investigating temporal dynamics within the parental brain. Behavioural Brain Research, 325(Pt B), 105-116. https://doi.org/10.1016/j.bbr.2016.09.012
Brattico, E. & Pearce, M. (2013). The neuroaesthetics of music. Psychology of Aesthetics, Creativity, and the Arts, 7(1), 48-61. https://doi.org/10.1037/a0031624
Foster Vander Elst, O., Foster, N. H. D., Vuust, P., Keller, P. E. & Kringelbach, M. L. (2023). The Neuroscience of Dance: A Conceptual Framework and Systematic Review. Neuroscience and Biobehavioral Reviews, 150, Article 105197. https://doi.org/10.1016/j.neubiorev.2023.105197
Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 15-39.
Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 13(2 SUPPL.), 15-39. https://doi.org/10.1177/1029864909013002031
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
Kringelbach, M. L., Sanz Perl, Y. & Deco, G. (2024). The Thermodynamics of Mind. Trends in Cognitive Sciences, 28(6), 568-581. https://doi.org/10.1016/j.tics.2024.03.009
Brattico, E., Bogert, B. & Jacobsen, T. (2013). Toward a neural chronometry for the aesthetic experience of music. Frontiers in Psychology, 4, Article 206. https://doi.org/10.3389/fpsyg.2013.00206
Deco, G., Perl, Y. S., Jerotic, K., Escrichs, A. & Kringelbach, M. L. (2025). Turbulence as a framework for brain dynamics in health and disease. Neuroscience and Biobehavioral Reviews, 169, Article 105988. https://doi.org/10.1016/j.neubiorev.2024.105988
Vohryzek, J., Cabral, J., Vuust, P., Deco, G. & Kringelbach, M. L. (2022). Understanding brain states across spacetime informed by whole-brain modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2227), Article 20210247. https://doi.org/10.1098/rsta.2021.0247
Heng, J. G., Zhang, J., Bonetti, L., Lim, W. P. H., Vuust, P., Agres, K. & Chen, S. H. A. (2024). Understanding music and aging through the lens of Bayesian inference. Neuroscience and Biobehavioral Reviews, 163, Article 105768. https://doi.org/10.1016/j.neubiorev.2024.105768
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
Keller, P. E. (2023). Integrating theory and models of musical group interaction. Trends in Cognitive Sciences, 27(12), 1105-1106. https://doi.org/10.1016/j.tics.2023.07.008
Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2025). Reply to Musculus et al. A case of offside in scientific discourse? Proceedings of the National Academy of Sciences of the United States of America, 122(25), Article e2507207122. https://doi.org/10.1073/pnas.2507207122
de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences (PNAS), 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116
Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). 'Uncertainty attunement' has explanatory value in understanding autistic anxiety. Trends in Cognitive Sciences, 25(12), 1011-1012. https://doi.org/10.1016/j.tics.2021.09.006
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. IEEE Engineering in Medicine and Biology Society Conference Proceedings, 4120-4123.
Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.
Brattico, E., Tervaniemi, M., Valimaki, V., Van Zuijen, T. & Peretz, T. (2003). Cortical correlates of acquired deafness to dissonance. Annals of the New York Academy of Sciences, 158-160. https://doi.org/10.1196/annals.1284.019
Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E. & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing. https://doi.org/10.1109/MLSP.2013.6661923
Brattico, E., Jacobsen, T., De Baene, W., Nakai, N. & Tervaniemi, M. (2003). Electrical brain responses to descriptive versus evaluative judgments of music. Annals of the New York Academy of Sciences, 155-157. https://doi.org/10.1196/annals.1284.018
Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2009). Electrophysiological correlates of aesthetic music processing comparing experts with laypersons. Annals of the New York Academy of Sciences, 355-358. https://doi.org/10.1111/j.1749-6632.2009.04846.x
Tervaniemi, M., Tupala, T. & Brattico, E. (2012). Expertise in folk music alters the brain processing of Western harmony. Annals of the New York Academy of Sciences, 147-151. https://doi.org/10.1111/j.749-6632.2011.06428.x
James, A., Fernandes, H., Alves da Mota, P. & Hough, M. (2017). Frontostriatal dysconnectivity in adolescent onset schizophrenia and its associations with cognition: An MRI volumetric and diffusion tensor imaging study. European Psychiatry, 41, S59.
Liu, C., Fa, R., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Scalable clustering based on enhanced-smart for large-scale fMRI datasets. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 962-966.
Puolivali, T., Cong, F., Alluri, V., Lin, Q.-H., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music. International Conference on Acoustics Speech and Signal Processing ICASSP, 1310-1314.
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
Brattico, E. & Delussi, M. (2024). Making sense of music: Insights from neurophysiology and connectivity analyses in naturalistic listening conditions. Hearing Research, 441, Article 108923. https://doi.org/10.1016/j.heares.2023.108923
Brattico, E., Brattico, P. & Vuust, P. (2017). The forgotten artist: Why to consider intentions and interaction in a model of aesthetic experience: Comment on "Move me, astonish me... delight my eyes and brain: The Vienna Integrated Model of top-down and bottom-up processes in Art Perception (VIMAP) and corresponding affective, evaluative, and neurophysiological correlates" by Matthew Pelowski et al. Physics of Life Reviews, 21, 128-130. https://doi.org/10.1016/j.plrev.2017.06.014
Møller, C. (2021). At klappe i takt. Turbulens. https://turbulens.net/at-klappe-i-takt/

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Hella Kastbjerg