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Center for Music in the Brain

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Sears, D., Pearce, M., Caplin, W. & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47(1), 29-52. https://doi.org/10.1080/09298215.2017.1367010

Schirmer-Mokwa, Fard, Zamorano, Finkel, Birbaumer & Kleber, B. (2015). Evidence for enhanced interoceptive accuracy in professional musicians. Frontiers in Behavioral Neuroscience, 9, 349.

Schiavio, A., Stupacher, J., Parncutt, R. & Timmers, R. (2020). Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception, 37(5), 403-422. https://doi.org/10.1525/mp.2020.37.5.403

Schiavio, A., Witek, M. A. G. & Stupacher, J. (2023). Meaning-making and creativity in musical entrainment. Frontiers in Psychology, 14, Article 1326773. https://doi.org/10.3389/fpsyg.2023.1326773

Schiavio, A., Stupacher, J., Xypolitaki, E., Parncutt, R. & Timmers, R. (2021). Musical novices perform with equal accuracy when learning to drum alone or with a peer. Scientific Reports, 11(1), Article 12422. https://doi.org/10.1038/s41598-021-91820-0

Scarratt, R. J., Dietz, M., Vuust, P., Kleber, B. & Jespersen, K. V. (2026). Individual differences in the effects of musical familiarity and musical features on brain activity during relaxation. Cognitive, Affective and Behavioral Neuroscience, 26(1), 155–173. https://doi.org/10.3758/s13415-025-01342-9

Scarratt, R. J., Stupacher, J., Vuust, P. & Jespersen, K. V. (2026). Motivations for Using Music for Sleep: A Text Analysis of YouTube Sleep Music Comments. Music Perception, 43(5), 486-500. https://doi.org/10.1525/mp.2026.2469102

Scarratt, R. J., Heggli, O. A., Vuust, P. & Sadakata, M. (2023). Music that is used while studying and music that is used for sleep share similar musical features, genres and subgroups. Scientific Reports, 13(1), Article 4735. https://doi.org/10.1038/s41598-023-31692-8

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

Sauvé, S., Sayed, A., Dean, R. & Pearce, M. (2018). Effects of pitch and timing expectancy on musical emotion. Psychomusicology: Music, Mind & Brain, 28, 17-39. https://doi.org/10.1037/pmu0000203

Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Saenger, V. M., Kahan, J., Foltynie, T., Friston, K., Aziz, T. Z., Green, A. L., van Hartevelt, T. J., Cabral, J., Stevner, A. B. A., Fernandes, H. M., Mancini, L., Thornton, J., Yousry, T., Limousin, P., Zrinzo, L., Hariz, M., Marques, P., Sousa, N., Kringelbach, M. L. & Deco, G. (2017). Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson's disease. Scientific Reports, 7(1), 9882. Article 9882. https://doi.org/10.1038/s41598-017-10003-y

Sadeghi, F., Agua Banyeres, E. D., Pizzuti, A., Okar, A., Grimm, K., Gerloff, C., Kringelbach, M. L., Goebel, R., Zittel, S. & Deco, G. (2025). The arrow of time in Parkinson's disease. NeuroImage: Clinical, 47, Article 103834. https://doi.org/10.1016/j.nicl.2025.103834

Sadaphal, D. P., Blum, C. R., Keller, P. E. & Fitch, W. T. (2025). Beyond perfect synchrony: shared interpersonal rhythmic timing enhances self-other merging judgements. Royal Society Open Science, 12(3), Article 241501. https://doi.org/10.1098/rsos.241501

Sabharwal, S. R., Varlet, M., Breaden, M., Volpe, G., Camurri, A. & Keller, P. E. (2022). huSync - A model and system for the measure of synchronization in small groups: A case study on musical joint action. IEEE Access, 10, 92357-92372. https://doi.org/10.1109/ACCESS.2022.3202959

Sabharwal, S. R., Breaden, M., Volpe, G., Camurri, A. & Keller, P. E. (2024). Leadership dynamics in musical groups: Quantifying effects of musical structure on directionality of influence in concert performance videos. PLoS One, 19(4), Article e0300663. https://doi.org/10.1371/journal.pone.0300663

Saarikallio, S., Nieminen, S. & Brattico, E. (2013). Affective reactions to musical stimuli reflect emotional use of music in everyday life. Musicae Scientiae, 17(1), 27-39. https://doi.org/10.1177/1029864912462381

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

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J. & Korhonen, O. (2018). Regions of Interest as nodes of dynamic functional brain networks. Network Neuroscience, 2(4), 513-535. https://doi.org/10.1162/netn_a_00047

Ruffini, G., Damiani, G., Lozano-Soldevilla, D., Deco, N., Rosas, F. E., Kiani, N. A., Ponce-Alvarez, A., Kringelbach, M. L., Carhart-Harris, R. & Deco, G. (2023). LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLoS Computational Biology, 19(2), Article e1010811. https://doi.org/10.1371/journal.pcbi.1010811

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

Rosso, M., Fernández-Rubio, G., Keller, P. E., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2025). FREQ-NESS Reveals the Dynamic Reconfiguration of Frequency-Resolved Brain Networks During Auditory Stimulation. Advanced Science, 12(20), e2413195. Article 2413195. https://doi.org/10.1002/advs.202413195

Rosso, M., Heggli, O. A., Maes, P. J., Vuust, P. & Leman, M. (2022). Mutual beta power modulation in dyadic entrainment. NeuroImage, 257, 119326. Article 119326. https://doi.org/10.1016/j.neuroimage.2022.119326, https://doi.org/10.1016/j.neuroimage.2022.119326

Rosselló, J., Vila-Borrellas, E., Alba-Foz, G. & Celma-Miralles, A. (2023). Música, autisme i prosòdia a la llum d’un estudi de cas. Language, Society & Communication, 20, 48-62. https://doi.org/10.1344/LSC-2022.20.5

Ross, S. & Hansen, N. C. (2016). Dissociating Prediction Failure: Considerations from Music Perception. The Journal of Neuroscience, 36(11), 3103-3105. https://doi.org/10.1523/JNEUROSCI.0053-16.2016

Romkey, I. D., Matthews, T., Foster, N., Bella, S. D. & Penhune, V. B. (2025). The pleasurable urge to move to music is unchanged in people with musical anhedonia. PLoS One, 20(1), Article e0312030. https://doi.org/10.1371/journal.pone.0312030

Rømer Thomsen, K., Whybrow, P. C. & Kringelbach, M. L. (2015). Reconceptualizing anhedonia: novel perspectives on balancing the pleasure networks in the human brain. Frontiers in Behavioral Neuroscience, 9(49). https://doi.org/10.3389/fnbeh.2015.00049

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Riem, M. M. E., van Ijzendoorn, M. H., Parsons, C. E., Young, K. S., De Carli, P., Kringelbach, M. L. & Bakermans-Kranenburg, M. J. (2017). Experimental manipulation of infant temperament affects amygdala functional connectivity. Cognitive, Affective and Behavioral Neuroscience, 17(4), 858-868. https://doi.org/10.3758/s13415-017-0518-8

Reymore, L. & Hansen, N. C. (2020). A Theory of Instrument-Specific Absolute Pitch. Frontiers in Psychology, 11, Article 560877. https://doi.org/10.3389/fpsyg.2020.560877

Rayson, H., Parsons, C. E., Young, K. S., Goodacre, T. E. E., Kringelbach, M. L., Bonaiuto, J. J., McSorley, E. & Murray, L. (2017). Effects of Infant Cleft Lip on Adult Gaze and Perceptions of "Cuteness". Cleft Palate - Craniofacial Journal, 54(5), 562-570. https://doi.org/10.1597/16-015

Ravignani, A., Lumaca, M. & Kotz, S. A. (2022). Interhemispheric Brain Communication and the Evolution of Turn-Taking in Mammals. Frontiers in Ecology and Evolution, 10, Article 916956. https://doi.org/10.3389/fevo.2022.916956

Ravignani, A. & Herbst, C. T. (2023). Voices in the ocean. Science (New York, N.Y.), 379(6635), 881-882. https://doi.org/10.1126/science.adg5256

Ravignani, A., Thompson, B., Lumaca, M. & Grube, M. (2018). Why do durations in musical rhythms conform to small integer ratios? Frontiers in Computational Neuroscience, 12, Article 86. https://doi.org/10.3389/fncom.2018.00086

Raimondi, T., Haas, C. E., de Reus, K., Mendez-Arostegui, M., Jadoul, Y. & Ravignani, A. (2026). Neonatal auditory input affects vocal development in harbour seals. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 381(1943). https://doi.org/10.1098/rstb.2024.0369

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

Quiroga-Martinez, D. R., Basiński, K., Nasielski, J., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2022). Enhanced mismatch negativity in harmonic compared with inharmonic sounds. European Journal of Neuroscience, 56(5), 4583-4599. https://doi.org/10.1111/ejn.15769

Quiroga-Martinez, D. R., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2021). Listeners with congenital amusia are sensitive to context uncertainty in melodic sequences. Neuropsychologia, 158, Article 107911. https://doi.org/10.1016/j.neuropsychologia.2021.107911

Quiroga-Martinez, D. R., Hansen, N. C., Hojlund, A., Pearce, M., Brattico, E., Holmes, E., Friston, K. & Vuust, P. (2021). Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection. Human Brain Mapping, 42(17), 5595-5608. https://doi.org/10.1002/hbm.25638

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

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians. European Journal of Neuroscience, 51(11), 2250-2269. https://doi.org/10.1111/ejn.14667

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Quarto, T., Blasi, G., Pallesen, K. J., Bertolino, A. & Brattico, E. (2014). Implicit Processing of Visual Emotions Is Affected by Sound-Induced Affective States and Individual Affective Traits. PLoS One, 9(7), Article 103278. https://doi.org/10.1371/journal.pone.0103278

Quarto, T., Fasano, M. C., Taurisano, P., Fazio, L., Antonucci, L. A., Gelao, B., Romano, R., Mancini, M., Porcelli, A., Masellis, R., Pallesen, K. J., Bertolino, A., Blasi, G. & Brattico, E. (2017). Interaction between DRD2 variation and sound environment on mood and emotion-related brain activity. Neuroscience, 341, 9-17. https://doi.org/10.1016/j.neuroscience.2016.11.010

Pouw, W., Kehy, M., Gamba, M. & Ravignani, A. (2026). Amplitude Increases of Vocalizations are Associated with Body Accelerations in Siamang (Symphalangus syndactylus). International Journal of Comparative Psychology, 39. https://doi.org/10.46867/ijcp.53165

Potash, R. M., Yang, W. F. Z., Winston, B., Atasoy, S., Kringelbach, M. L., Sparby, T. & Sacchet, M. D. (2025). Investigating the complex cortical dynamics of an advanced concentrative absorption meditation called jhanas (ACAM-J): a geometric eigenmode analysis. Cerebral Cortex, 35(2), Article bhaf039. https://doi.org/10.1093/cercor/bhaf039

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

Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M., Kringelbach, M. L., Jarraya, B. & Deco, G. (2022). Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia. Cerebral Cortex, 32(2), 298-311. https://doi.org/10.1093/cercor/bhab209

Politimou, N., Douglass-Kirk, P., Pearce, M., Stewart, L. & Franco, F. (2021). Melodic expectations in 5- and 6-year-old children. Journal of Experimental Child Psychology, 203, Article 105020. https://doi.org/10.1016/j.jecp.2020.105020

Poikonen, H., Alluri, V., Brattico, E., Lartillot, O., Tervaniemi, M. & Huotilainen, M. (2016). Event-related brain responses while listening to entire pieces of music. Neuroscience, 312, 58-73. https://doi.org/10.1016/j.neuroscience.2015.10.061

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