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Center for Music in the Brain

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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

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

Mogensen, R. L. H., Bjerg Hedegaard, M., Olsen, L., Skewes, J. C. & Gebauer, L. (2018). Relational Memory in High-Functioning Children with Autism Spectrum Disorders. Abstract from INSAR 2018: Annual Meeting, Rotterdam, Netherlands.

Mogensen, R. L. H., Bjerg Hedegaard, M., Olsen, L., Skewes, J. C. & Gebauer, L. (2018). Relational Memory in High-Functioning Children with Autism Spectrum Disorders. Poster session presented at INSAR 2018: Annual Meeting, Rotterdam, Netherlands.

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

Prados, F., S Solanky, B., Alves da Mota, P., Cardoso, M. J., Brownlee, WJ., Riemer, F., Miller, DH., Golay, X., Ourselin, S. & Gandini Wheeler-Kingshott, CAM. (2016). Regional variation of total sodium concentration in the healthy human brain.. Poster session presented at International Society for Magnetic Resonance in Medicine: 24th Annual Meeting.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Brattico, E., Bonetti, L., Ferretti, G., Vuust, P. & Matrone, C. (2021). Putting Cells in Motion: Advantages of Endogenous Boosting of BDNF Production. Cells, 10(1), 1-16. Article 183. https://doi.org/10.3390/cells10010183

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

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

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

Burunat, I., Brattico, E. & Toiviainen, P. (2015). Prominent cerebello-hippocampal connectivity in musicians during music listening. Abstract from Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, United Kingdom.

Kliuchko, M., Tervaniemi, M., Vuust, P. & Brattico, E. (2018). Probing the functional specialization of auditory encoding following musical training with multi-feature MMN paradigms. Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

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

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

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

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. Advance online publication. https://doi.org/10.1097/j.pain.0000000000003749

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

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

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

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

Grimaldi, M., Brattico, E. & Shtyrov, Y. (2023). Preface. In M. Grimaldi, E. Brattico & Y. Shtyrov (Eds.), Language Electrified: Principles, Methods, and Future Perspectives of Investigation (pp. vii-xii). Springer. https://doi.org/10.1007/978-1-0716-3263-5

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

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

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

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

Ross, S., Brattico, E., Herrojo Ruiz, M. & Stewart, L. (2017). Predicting pitch from action in expert musicians. Poster session presented at Aarhus University Graduate School of Health, PhD Day 2017, Aarhus, Denmark.

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

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

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

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

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

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

Fjældstad, A., van Hartevelt, T. J. & Kringelbach, M. L. (2016). Pleasure of Food in the Brain. In B. Piqueras-Fiszman & C. Spence (Eds.), Multisensory Flavor Perception: From Fundamental Neuroscience Through to the Marketplace (pp. 211-234). Woodhead Publishing. https://doi.org/10.1016/B978-0-08-100350-3.00011-0

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

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Hella Kastbjerg