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Center for Music in the Brain

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Bonetti, L., Brattico, E., Bruzzone, S. E. P., Donati, G., Deco, G., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2023). Brain recognition of previously learned versus novel temporal sequences: A differential simultaneous processing. Cerebral Cortex, 33(9), 5524–5537. https://doi.org/10.1093/cercor/bhac439

Bonetti, L., Carlomagno, F., Kliuchko, M., Gold, B. P., Palva, S., Trusbak Haumann, N., Tervaniemi, M., Huotilainen, M., Vuust, P. & Brattico, E. (2022). Whole-brain computation of cognitive versus acoustic errors in music: A mismatch negativity study. NeuroImage: Reports, 2(4), Article 100145. https://doi.org/10.1016/j.ynirp.2022.100145

Bonetti, L., Bruzzone, S. E. P., Paunio, T., Kantojärvi, K., Kliuchko, M., Vuust, P., Palva, S. & Brattico, E. (2023). Moderate associations between BDNF Val66Met gene polymorphism, musical expertise, and mismatch negativity. Heliyon, 9(5), Article e15600. https://doi.org/10.1016/j.heliyon.2023.e15600

Bonetti, L., Fernández-Rubio, G., Carlomagno, F., Dietz, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding. Nature Communications, 15(1), Article 4313. https://doi.org/10.1038/s41467-024-48302-4

Bonetti, L., Brattico, E., Carlomagno, F., Cabral, J., Stevner, A., Deco, G., Whybrow, P. C., Pearce, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal whole-brain activity and functional connectivity of melodies recognition. Cerebral Cortex, 34(8), Article e320. https://doi.org/10.1093/cercor/bhae320

Bonetti, L., Fernández-Rubio, G., Lumaca, M., Carlomagno, F., Risgaard Olsen, E., Criscuolo, A., Kotz, S. A., Vuust, P., Brattico, E. & Kringelbach, M. L. (2024). Age-related neural changes underlying long-term recognition of musical sequences. Communications Biology, 7(1), Article 1036. https://doi.org/10.1038/s42003-024-06587-7

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

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

Bonetti, L., Risgaard Olsen, E., Carlomagno, F., Serra, E., Szabó, S. A., Klarlund, M., Andersen, M. H., Frausing, L., Vuust, P., Brattico, E., Kringelbach, M. L. & Fernández-Rubio, G. (2025). Working Memory Predicts Long-Term Recognition of Auditory Sequences: Dissociation Between Confirmed Predictions and Prediction Errors. Scandinavian Journal of Psychology, 66(6), 842-853. https://doi.org/10.1111/sjop.13124

Bonetti, L. (2020). Brain spatiotemporal dynamics of auditory patterns encoding and recognition. [PhD dissertation, Aarhus University].

Bonetti, L., Fernández-Rubio, G., Andersen, M. H., Malvaso, C., Carlomagno, F., Testa, C., Vuust, P., Kringelbach, M. L. & Rosso, M. (2025). BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks. Advanced Science, 12(44), Article e07878. https://doi.org/10.1002/advs.202507878

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

Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2026). Reply to Fitzgerald et al. Mischaracterizing our findings; the cognitive profile of elite footballers remains robust. Proceedings of the National Academy of Sciences of the United States of America, 123(8), Article e2521662123. https://doi.org/10.1073/pnas.2521662123

Bogert, B., Numminen-Kontti, T., Gold, B., Sams, M., Numminen, J., Burunat, I., Lampinen, J. & Brattico, E. (2016). Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions. Neuropsychologia, 89, 393-402. https://doi.org/10.1016/j.neuropsychologia.2016.07.005

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

Bodak, R., Mazhari-Jensen, D., Evald, L., Figlewski, K., Malhotra, P., Vuust, P. & Stewart, L. (2015). Can active music-making ameliorate neglect? An assessor-blind, within-subject, controlled clinical trial. Poster session presented at Examining the utility of music interventions in neurological disorders of older people, London, Denmark.

Bodak, R., Stewart, L., Stephan, M., Witek, M., Penhune, V. & Vuust, P. (2015). Can listening to sound sequences facilitate movement? The potential for motor rehabilitation. Abstract from Music Therapy Advances in Neuro-disability II , London, United Kingdom.

Boccard, S. G., Fernandes, H., Jbabdi, S., van Hartevelt, T. J., Kringelbach, M. L., Quaghebeur, G., Moir, L., Mancebo, V. P., Pereira, E. A., Fitzgerald, J. J., Green, A. L., Stein, J. & Aziz, T. Z. (2015). A tractography study of Deep Brain Stimulation of the Anterior Cingulate Cortex in chronic pain: a key to improve the targeting. World Neurosurgery. https://doi.org/10.1016/j.wneu.2015.08.065

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG: Bringing EEG music studies into the concert hall . Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG. Poster session presented at Advances and Perspectives in Auditory Neuroscience, United States.

Birnkammer, S., Applewhite, B., Altmann, Y., Zubala, A., Kringelbach, M. L. & Calvano, C. (2026). Patterns of creative technique use in child and youth psychotherapy in Germany: an exploratory mixed-methods survey including identity-informed practice. Frontiers in Health Services, 6, Article 1824536. https://doi.org/10.3389/frhs.2026.1824536

Bihari, A., Nárai, Á., Kleber, B., Zsuga, J., Hermann, P. & Vidnyánszky, Z. (2024). Operatic voices engage the default mode network in professional opera singers. Scientific Reports, 14(1), Article 21313. https://doi.org/10.1038/s41598-024-71458-4

Bianco, R., Harrison, P. M. C., Hu, M., Bolger, C., Picken, S., Pearce, M. T. & Chait, M. (2020). Long-term implicit memory for sequential auditory patterns in humans. eLife, 9, Article e56073. https://doi.org/10.7554/eLife.56073

Bianco, R., Novembre, G., Ringer, H., Kohler, N., Keller, P. E., Villringer, A. & Sammler, D. (2022). Lateral prefrontal cortex is a hub for music production from structural rules to movements. Cerebral Cortex, 32(18), 3878-3895. https://doi.org/10.1093/cercor/bhab454

Bianco, R., Zuk, N. J., Bigand, F., Quarta, E., Grasso, S., Arnese, F., Ravignani, A., Battaglia-Mayer, A. & Novembre, G. (2024). Neural encoding of musical expectations in a non-human primate. Current Biology, 34(2), 444-450.e5. https://doi.org/10.1016/j.cub.2023.12.019

Bianco, R., Magami, K., Pearce, M. & Chait, M. (2026). Discovery, Interruption, and Updating of Auditory Regularities in Memory: Evidence from Low-Frequency Brain Dynamics in Human MEG. The Journal of neuroscience : the official journal of the Society for Neuroscience, 46(2), Article e0629252025. https://doi.org/10.1523/JNEUROSCI.0629-25.2025

Bettinardi, R. G., Deco, G., Karlaftis, V. M., Van Hartevelt, T. J., Fernandes, H. M., Kourtzi, Z., Kringelbach, M. L. & Zamora-López, G. (2017). How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure. Chaos, 27(4), 047409. https://doi.org/10.1063/1.4980099

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

Berjaga-Buisan, T., Monti, J. M., Cortada, M., Colombo, M. A., Geli, S. M., Gaglioti, G., Sarasso, S., Kringelbach, M. L., Corbetta, M., Sanchez-Vives, M. V., Massimini, M., Perl, Y. S. & Deco, G. (2026). Thermodynamics of consciousness: Non-equilibrium brain dynamics track conscious states. Cell Reports, 45(8), Article 117782. https://doi.org/10.1016/j.celrep.2026.117782

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

Basiński, K., Celma-Miralles, A., Quiroga Martinez, D. R. & Vuust, P. (2022). Harmonic and inharmonic sounds: which ones elicit greater prediction errors? In MMN 2022: Mismatch negativity: neural basis and biomarker development (pp. 105-106). Article P-15 https://www.c-linkage.co.jp/mmn2022/file/mmn2022_program_abstract.pdf

Basiński, K., Celma-Miralles, A., Quiroga-Martinez, D. R. & Vuust, P. (2025). Inharmonicity enhances brain signals of attentional capture and auditory stream segregation. Communications Biology, 8(1), Article 1584. https://doi.org/10.1038/s42003-025-08999-5

Banissy, M. J., Stewart, L., Muggleton, N. G., Griffiths, T. D., Walsh, V. Y., Ward, J. & Kanai, R. (2012). Grapheme-color and tone-color synesthesia is associated with structural brain changes in visual regions implicated in color, form, and motion. Cognitive Neuroscience, 3(1), 29-35. https://doi.org/10.1080/17588928.2011.594499

Baliviera, E., Rosso, M., Moens, B., Poncelet, M., Manto, M., Cabaraux, P., Van Wijmeersch, B., Leman, M., Feys, P. & Moumdjian, L. (2025). Neural and behavioral entrainment to auditory rhythmic perturbations in persons with cerebellar impairment. Cerebral Cortex, 35(7), Article bhaf164. https://doi.org/10.1093/cercor/bhaf164

Atasoy, S., Deco, G., Kringelbach, M. L. & Pearson, J. (2018). Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics. Neuroscientist, 24(3), 277–293. https://doi.org/10.1177/1073858417728032

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

Atasoy, S., Vohryzek, J., Deco, G., Carhart-Harris, R. L. & Kringelbach, M. L. (2018). Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition. In T. Calvey (Ed.), PSYCHEDELIC NEUROSCIENCE (pp. 97-120). Elsevier. https://doi.org/10.1016/bs.pbr.2018.08.009

Atasoy, S., Deco, G. & Kringelbach, M. L. (2020). Harmonic waves as the fundamental principle underlying temporo-spatial dynamics of brain and mind: Comment on “Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience” ” Georg Northoff et al. Physics of Life Reviews, 33, 67-69. https://doi.org/10.1016/j.plrev.2019.10.001

Aqil, M., Atasoy, S., Kringelbach, M. L. & Hindriks, R. (2021). Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome. PLoS Computational Biology, 17(1), Article e1008310. https://doi.org/10.1371/JOURNAL.PCBI.1008310

Applewhite, B., Delattre, B., Singh, I., Kringelbach, M. & Spiegler, O. (2025). Creative arts-based interventions for the improvement of PTSD symptoms in young people: a meta-analysis with a focus on non-Western populations. Nature Mental Health, 3(12), 1616–1632. https://doi.org/10.1038/s44220-025-00543-y

Anichini, M., De Reus, K., Hersh, T. A., Valente, D., Salazar-Casals, A., Berry, C., Keller, P. E. & Ravignani, A. (2023). Measuring rhythms of vocal interactions: a proof of principle in harbour seal pups. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1875), Article 20210477. https://doi.org/10.1098/rstb.2021.0477

Anderson, S., Himonides, E., Wise, K., Welch, G. & Stewart, L. (2012). Is there potential for learning in amusia? A study of the effect of singing intervention in congenital amusia. Annals of the New York Academy of Sciences, 1252, 345-53. https://doi.org/10.1111/j.1749-6632.2011.06404.x

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

Alonso Martínez, S., Deco, G., Ter Horst, G. J. & Cabral, J. (2020). The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample. Frontiers in Neural Circuits, 14, Article 570583. https://doi.org/10.3389/fncir.2020.570583

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

Alluri, V., Toiviainen, P., Jaaskelainen, I. P., Glerean, E., Sams, M. & Brattico, E. (2012). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage, 59(4), 3677-3689. https://doi.org/10.1016/j.neuroimage.2011.11.019

Alluri, V., Toiviainen, P. & Brattico, E. (2015). Subcortical network hub differences in musicians and non-musicians during continuous listening to music. Abstract from ICME4, Geneve, Switzerland.

Alluri, V., Toiviainen, P., Burunat, I., Bogert, B., Numminen, J. & Brattico, E. (2015). Musical expertise modulates functional connectivity of limbic regions during continuous music listening. Psychomusicology: Music, Mind & Brain, 25(4), 443. https://doi.org/10.1037/pmu0000124

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), 2955-2970. https://doi.org/10.1002/hbm.23565

Alexander Kleber, B. (2019). The neural correlates of musical improvisation in trained and untrained singers. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

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