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Center for Music in the Brain

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Clemente, A., Kaplan, T. M. & Pearce, M. T. (2024). Perceptual representations mediate effects of stimulus properties on liking for music. Annals of the New York Academy of Sciences, 1533(1), 169-180. https://doi.org/10.1111/nyas.15106

Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., Van Someren, E., Jobst, B., Stevner, A. & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-56. https://doi.org/10.1016/j.neuroimage.2017.12.009

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A., Kringelbach, M., Deco, G., Laufs, H., Sitt, J., Laureys, S. & Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLoS Computational Biology, 17(7), Article e1009139. https://doi.org/10.1371/journal.pcbi.1009139

Garcés de Marcilla Lappin, I., Mana, L., Aleman-Gomez, Y., Alameda, L., Solida, A., Jenni, R., Baumann, P. S., Klauser, P., Conus, P., Kringelbach, M., Hagmann, P., Deco, G. & Sanz Perl, Y. (2026). Perturbations of whole-brain model reveal critical areas related to relapse of early psychosis. Network Neuroscience, 10(1), 62-79. https://doi.org/10.1162/NETN.a.502

Ahrends, C., Bravo, F., Kringelbach, M. L., Vuust, P. & Rohrmeier, M. A. (2019). Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty. Scientific Reports, 9, Article 12177. https://doi.org/10.1038/s41598-019-48707-y

Kaasgaard, M., Rasmussen, D. B., Løkke, A., Vuust, P., Hilberg, O. & Bodtger, U. (2022). Physiological changes related to 10 weeks of singing for lung health in patients with COPD. B M J Open Respiratory Research, 9(1), Article e001206. https://doi.org/10.1136/bmjresp-2022-001206

Gold, B. P., Frank, M. J., Bogert, B. & Brattico, E. (2013). Pleasurable music affects reinforcement learning according to the listener. Frontiers in Psychology, 4, Article 541. https://doi.org/10.3389/fpsyg.2013.00541

Berridge, K. C. & Kringelbach, M. L. (2015). Pleasure Systems in the Brain. Neuron, 86(3), 646-664. https://doi.org/10.1016/j.neuron.2015.02.018

Møller, C., Celma-Miralles, A., Borges, H. B., Stupacher, J., Christensen, C. B., Vuust, P. & Kidmose, P. (2026). Polyrhythms in the Brain: Metrical Priming, Acoustic Balance, and Perceptual Biases. Annals of the New York Academy of Sciences, 1559(1), Article e70290. https://doi.org/10.1111/nyas.70290

Stark, E. A., Parsons, C. E., Hartevelt, T. J. V., Charquero-Ballester, M., McManners, H., Ehlers, A., Stein, A. & Kringelbach, M. L. (2015). Post-traumatic stress influences the brain even in the absence of symptoms: A systematic, quantitative meta-analysis of neuroimaging studies. Neuroscience & Biobehavioral Reviews, 56, 207-221. https://doi.org/10.1016/j.neubiorev.2015.07.007

Harrison, P. M. C., Bianco, R., Chait, M. & Pearce, M. T. (2020). PPM-Decay: A computational model of auditory prediction with memory decay. PLoS Computational Biology, 16(11), Article e1008304. https://doi.org/10.1371/journal.pcbi.1008304

Seppanen, M., Brattico, E. & Tervaniemi, M. (2007). Practice strategies of musicians modulate neural processing and the learning of sound-patterns. Neurobiology of Learning and Memory, 87(2), 236-247. https://doi.org/10.1016/j.nlm.2006.08.011

Takegata, R., Brattico, E., Tervaniemi, M., Varyagina, O., Naatanen, R. & Winkler, M. (2005). Preattentive representation of feature conjunctions for concurrent spatially distributed auditory objects. Cognitive Brain Research, 25(1), 169-179. https://doi.org/10.1016/j.cogbrainres.2005.05.006

Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A. & Zatorre, R. J. (2019). Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning? The Journal of neuroscience, 39(47), 9397-9409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019

Ahrends, C., Lumaca, M., Kringelbach, M. L., Vidaurre, D. & Vuust, P. (2025). Prediction of Individual Melodic Contour Processing in Sensory Association Cortices From Resting State Functional Connectivity. Human Brain Mapping, 46(17), Article e70409. https://doi.org/10.1002/hbm.70409

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

Gebauer, L., Kringelbach, M. L. & Vuust, P. (2015). Predictive coding links perception, action, and learning to emotions in music. Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews, 13, 50-52. https://doi.org/10.1016/j.plrev.2015.04.023

Hansen, N. C., Kragness, H. E., Vuust, P., Trainor, L. & Pearce, M. T. (2021). Predictive Uncertainty Underlies Auditory Boundary Perception. Psychological Science, 32(9), 1416-1425. https://doi.org/10.1177/0956797621997349

Nwebube, C., Glover, V. & Stewart, L. (2017). Prenatal listening to songs composed for pregnancy and symptoms of anxiety and depression: A pilot study. BMC Complementary and Alternative Medicine, 17(1), Article 256. https://doi.org/10.1186/s12906-017-1759-3

Omigie, D. & Stewart, L. (2011). Preserved statistical learning of tonal and linguistic material in congenital amusia. Frontiers in Psychology, 2, 109. https://doi.org/10.3389/fpsyg.2011.00109

Stewart, L. (2001). Priming: a tool for imaging. Trends in Cognitive Sciences, 5(12), 511.

Zamorano, A. M., Kleber, B., De Martino, E., Insausti-Delgado, A., Vuust, P., Flor, H. & Graven-Nielsen, T. (2025). Prior use-dependent plasticity triggers different individual corticomotor responses during persistent musculoskeletal pain. Pain, 166(12). https://doi.org/10.1097/j.pain.0000000000003749

Kaplan, T., Jamone, L. & Pearce, M. (2023). Probabilistic modelling of microtiming perception. Cognition, 239, Article 105532. https://doi.org/10.1016/j.cognition.2023.105532

Jakubowski, K., Farrugia, N. & Stewart, L. (2016). Probing imagined tempo for music: Effects of motor engagement and musical experience. Psychology of Music, 44(6), 1274-1288. https://doi.org/10.1177/0305735615625791

Stewart, L. (2002). Probing perceptual asynchrony. Trends in Cognitive Sciences, 6(4), 153.

Carlomagno, F., Bevilacqua, V., Brunetti, A., Sibilano, E., Delussi, M., Lippolis, M., Diomede, R. & Brattico, E. (2025). Proof-of-Concept Study on the Use of Virtual Reality with Evocative and Aesthetic Content for Elderly Individuals with Cognitive Decline. Applied Sciences, 15(9), Article 4627. https://doi.org/10.3390/app15094627

Jadoul, Y., Duengen, D. & Ravignani, A. (2023). PyGellermann: a Python tool to generate pseudorandom series for human and non-human animal behavioural experiments. BMC Research Notes, 16, Article 135. https://doi.org/10.1186/s13104-023-06396-x

Bonetti, L., Brattico, E., Carlomagno, F., Donati, G., Cabral, J., Haumann, N. T., Deco, G., Vuust, P. & Kringelbach, M. L. (2021). Rapid encoding of musical tones discovered in whole-brain connectivity. NeuroImage, 245, Article 118735. https://doi.org/10.1016/j.neuroimage.2021.118735

Deco, G., Sanz Perl, Y., Vuust, P., Tagliazucchi, E., Kennedy, H. & Kringelbach, M. L. (2021). Rare long-range cortical connections enhance human information processing. Current Biology, 31(20), 4436-4448.e5. https://doi.org/10.1016/j.cub.2021.07.064

Stewart, L., Walsh, V. & Frith, U. (2004). Reading music modifies spatial mapping in pianists. Perception and Psychophysics, 66(2), 183-95.

Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Perl, Y. S., Kringelbach, M. L., Laureys, S. & Deco, G. (2024). Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. PLoS Computational Biology, 20(5), Article e1011350. https://doi.org/10.1371/journal.pcbi.1011350

Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D. J., Deco, G., Kringelbach, M. L., Stamatakis, E. A. & Kuceyeski, A. (2022). Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications, 13(1), Article 5812. https://doi.org/10.1038/s41467-022-33578-1

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

Acero-Pousa, I., Escrichs, A., Clara Dagnino, P., Sanz Perl, Y., Kringelbach, M. L., Uhlhass, P. J. & Deco, G. (2025). Reconfiguration of functional brain hierarchy in schizophrenia. Translational Psychiatry, 15(1), Article 356. https://doi.org/10.1038/s41398-025-03584-0

Tenderini, M. S., de Leeuw, E., Eilola, T. M. & Pearce, M. T. (2022). Reduced Cross-Modal Affective Priming in the L2 of Late Bilinguals Depends on L2 Exposure. Journal of Experimental Psychology: Learning Memory and Cognition, 48(2), 284-303. https://doi.org/10.1037/xlm0000889

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

Thompson, W. F., Marin, M. M. & Stewart, L. (2012). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis. Proceedings of the National Academy of Sciences (PNAS), 109(46), 19027-32. https://doi.org/10.1073/pnas.1210344109

Thompson, W. F., Marin, M. M. & Stewart, L. (2013). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis (vol 109, pg 19027, 2012). Proceedings of the National Academy of Sciences (PNAS), 110(7), 2676-2676. https://doi.org/10.1073/pnas.1222350110

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, Article 102299. https://doi.org/10.1016/j.nicl.2020.102299

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2020). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research, 29(1), Article e12901. https://doi.org/10.1111/jsr.12901

Jespersen, K. V., Stevner, A., Kringelbach, M., Van Someren, E., Vidaurre, D. & Vuust, P. (2025). Reduced switching between brain states in insomnia: evidence from modeling of fMRI brain dynamics. Cerebral Cortex, 35(11), Article bhaf314. https://doi.org/10.1093/cercor/bhaf314

Bodak, R., Malhotra, P., Bernardi, N. F., Cocchini, G. & Stewart, L. (2014). Reducing chronic visuo-spatial neglect following right hemisphere stroke through instrument playing. Frontiers in Human Neuroscience, 8, 413. https://doi.org/10.3389/fnhum.2014.00413

Costa, M., Bonetti, L., Belelli, M., Lantieri, C., Vignali, V. & Simone, A. (2016). Reflective tape applied to bicycle frame and conspicuity enhancement at night. Human Factors, 485.

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

Donnelly-Kehoe, P., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J., Lindenberger, U. & Deco, G. (2019). Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity. Human Brain Mapping, 40(10), 2967-2980. https://doi.org/10.1002/hbm.24572

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Reorganization of brain structural networks in aging: A longitudinal study. Journal of Neuroscience Research, 99(5), 1354-1376. https://doi.org/10.1002/jnr.24795

Timm, L., Vuust, P., Brattico, E., Agrawal, D., Debener, S., Buechner, A., Dengler, R. & Wittforth, M. (2014). Residual neural processng of musical sound features in adult cochlear implant users. Frontiers in Human Neuroscience, 8. https://doi.org/10.3389/fnhum.2014.00181

Louzolo, A., Lebedev, A. V., Björnsdotter, M., Acar, K., Ahrends, C., Kringelbach, M. L., Ingvar, M., Olsson, A. & Petrovic, P. (2022). Resistance to Extinction of Evaluative Fear Conditioning in Delusion Proneness. Schizophrenia Bulletin Open, 3(1), Article sgac033. https://doi.org/10.1093/schizbullopen/sgac033

Govender, S., Hochstrasser, D., Todd, N. P. M., Keller, P. E. & Colebatch, J. G. (2024). Responses to brief perturbations of stance: EMG, midline cortical, and subcortical changes. Journal of Neurophysiology, 132(3), 1014-1024. https://doi.org/10.1152/jn.00252.2024

Fjaeldstad, A., Niklassen, A. & Fernandes, H. (2018). Re-test reliability of gustatory testing and introduction of the sensitive Taste-Drop-Test. Chemical Senses, 43(5), 341–346. https://doi.org/10.1093/chemse/bjy019

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