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Center for Music in the Brain

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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

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

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

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.

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

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.

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

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.

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

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

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

Zou, L.-Q., Zhou, H.-Y., Zhuang, Y., van Hartevelt, T. J., Lui, S. S. Y., Cheung, E. F. C., Møller, A., Kringelbach, M. L. & Chan, R. C. K. (2018). Neural responses during the anticipation and receipt of olfactory reward and punishment in human. Neuropsychologia, 111, 172-179. https://doi.org/10.1016/j.neuropsychologia.2018.02.003

Zou, L.-Q., van Hartevelt, T. J., Kringelbach, M. L., Cheung, E. F. C. & Chan, R. C. K. (2016). The neural mechanism of hedonic processing and judgment of pleasant odors: An activation likelihood estimation meta-analysis. Neuropsychology, 30(8), 970-979. https://doi.org/10.1037/neu0000292

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Luft, C. D. B. (2020). Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style. Journal of Cognitive Neuroscience, 32(12), 2241-2259. https://doi.org/10.1162/jocn_a_01614

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Di Bernardi Luft, C. (2020). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, 206, Article 116311. https://doi.org/10.1016/j.neuroimage.2019.116311

Zamorano, A. M., Haumann, N. T., Ligato, D., Maublanc, P., Brattico, E., Vuust, P. & Kleber, B. (2025). Embodied Singing: Dual Role of Interoception in Vocal Expertise and Musical Competence. Annals of the New York Academy of Sciences, 1554(1), 187-202. https://doi.org/10.1111/nyas.70107

Zamorano, A. M., Montoya, P., Cifre, I., Vuust, P., Riquelme, I. & Kleber, B. (2019). Experience-dependent neuroplasticity in trained musicians modulates the effects of chronic pain on insula-based networks – A resting-state fMRI study. NeuroImage, 202, Article 116103. https://doi.org/10.1016/j.neuroimage.2019.116103

Zamorano, A. M., Kleber, B., Arguissain, F., Vuust, P., Flor, H. & Graven-Nielsen, T. (2023). Extensive sensorimotor training enhances nociceptive cortical responses in healthy individuals. European Journal of Pain (United Kingdom), 27(2), 257-277. https://doi.org/10.1002/ejp.2057, https://doi.org/10.1002/ejp.2057

Zamorano, A. M., Kleber, B., Arguissain, F., Boudreau, S., Vuust, P., Flor, H. & Graven-Nielsen, T. (2023). Extensive Sensorimotor Training Predetermines Central Pain Changes During the Development of Prolonged Muscle Pain. Journal of Pain, 24(6), 1039-1055. https://doi.org/10.1016/j.jpain.2023.01.017, https://doi.org/10.1016/j.jpain.2023.01.017

Zamorano, A. M., De Martino, E., Insausti-Delgado, A., Vuust, P., Flor, H. & Graven-Nielsen, T. (2024). Impact of Chronic Pain on Use-Dependent Plasticity: Corticomotor Excitability and Motor Representation in Musicians With and Without Pain. Brain Topography, 37(5), 874-880. https://doi.org/10.1007/s10548-023-01031-1

Zamorano, A. M., Cifre, I., Montoya, P., Riquelme, I. & Kleber, B. (2017). Insula-based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI. Human Brain Mapping, 38(10), 4834-4849. https://doi.org/10.1002/hbm.23682

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

Zamorano, A. M., Zatorre, R. J., Vuust, P., Friberg, A., Birbaumer, N. & Kleber, B. (2023). Singing training predicts increased insula connectivity with speech and respiratory sensorimotor areas at rest. Brain Research, 1813, Article 148418. https://doi.org/10.1016/j.brainres.2023.148418

Zamorano, A. M., Kleber, B., Arguissain, F., Vuust, P., Flor, H. & Graven-Nielsen, T. (2024). Un entraînement sensori-moteur intensif améliore les réponses corticales nociceptives chez les personnes en bonne santé. Douleur et Analgesie, 37(4), 228-248. https://doi.org/10.1684/dea.2024.0305

Young, K. S., Parsons, C. E., Jegindoe Elmholdt, E.-M., Woolrich, M. W., van Hartevelt, T. J., Stevner, A. B. A., Stein, A. & Kringelbach, M. L. (2016). Evidence for a Caregiving Instinct: Rapid Differentiation of Infant from Adult Vocalizations Using Magnetoencephalography. Cerebral Cortex, 26(3), 1309-1321. https://doi.org/10.1093/cercor/bhv306

Young, K. S., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Motion and emotion: depression reduces psychomotor performance and alters affective movements in caregiving interactions. Frontiers in Behavioral Neuroscience, 9, 26. https://doi.org/10.3389/fnbeh.2015.00026

Young, K. S., Parsons, C. E., LeBeau, R. T., Tabak, B. A., Sewart, A. R., Stein, A., Kringelbach, M. L. & Craske, M. G. (2017). Sensing Emotion in Voices: Negativity Bias and Gender Differences in a Validation Study of the Oxford Vocal ('OxVoc') Sounds Database. Psychological Assessment, 29(8), 967-977. https://doi.org/10.1037/pas0000382

Yan, X., Joshi, A., Zang, Y., Assunção, F., Fernandes, H. M. & Hummel, T. (2022). The Shape of the Olfactory Bulb Predicts Olfactory Function. Brain Sciences, 12(2), Article 128. https://doi.org/10.3390/brainsci12020128

Xu, Z., Shi, L., Hu, F., White, R., Stewart, L. & Yao, J. (2003). In utero development of central ANG-stimulated pressor response and hypothalamic fos expression. Developmental Brain Research, 145(2), 169-76.

Wong, W. W., Cabral, J., Rane, R., Ly, R., Kringelbach, M. L. & Feusner, J. D. (2021). Effects of visual attention modulation on dynamic functional connectivity during own-face viewing in body dysmorphic disorder. Neuropsychopharmacology, 46(11), 2030-2038. https://doi.org/10.1038/s41386-021-01039-w

Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A. P., Adzei, S. & Vuust, P. (2020). A critical cross-cultural study of sensorimotor and groove responses to syncopation among Ghanaian and American university students and staff. Music Perception, 37(4), 278-297. https://doi.org/10.1525/MP.2020.37.4.278

Witek, M. A. G., Matthews, T. E., Bechtold, T. A. & Penhune, V. (2025). Body maps of the sensation of musical groove. PNAS Nexus, 4(10), Article pgaf306. https://doi.org/10.1093/pnasnexus/pgaf306

Witek, M. A. G., Clarke, E. F., Kringelbach, M. L. & Vuust, P. (2014). Effects of polyphonic context, instrumentation, and metrical location on syncopation in music. Music Perception, 32(2), 201-217. https://doi.org/10.1525/MP.2014.32.2.201

Witek, M. A. G. (2017). Filling In: Syncopation, Pleasure and Distributed Embodiment in Groove. Music Analysis, 36(1), 138–160 . https://doi.org/10.1111/musa.12082

Witek, M. A. G., Kringelbach, M. L. & Vuust, P. (2015). Musical rhythm and affect: Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews. https://doi.org/10.1016/j.plrev.2015.04.029

Witek, M. A. G., Matthews, T., Bodak, R., Blausz, M. W., Penhune, V. & Vuust, P. (2023). Musicians and non-musicians show different preference profiles for single chords of varying harmonic complexity. PLoS One, 18(2 February), Article e0281057. https://doi.org/10.1371/journal.pone.0281057

Witek, M. A. G., Popescu, T., Clarke, E. F., Hansen, M., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2017). Syncopation affects free body-movement in musical groove. Experimental Brain Research, 235(4), 995-1005. https://doi.org/10.1007/s00221-016-4855-6

Williamson, V. J. & Stewart, L. (2013). Congenital amusia. Handbook of Clinical Neurology, 111, 237-9. https://doi.org/10.1016/B978-0-444-52891-9.00024-5

Williamson, V. J., McDonald, C., Deutsch, D., Griffiths, T. D. & Stewart, L. (2010). Faster decline of pitch memory over time in congenital amusia. Advances in Cognitive Psychology, 6, 15-22. https://doi.org/10.2478/v10053-008-0073-5

Williamson, V. J., Jilka, S. R., Fry, J., Finkel, S., Muellensiefen, D. & Stewart, L. (2012). How do "earworms" start? Classifying the everyday circumstances of Involuntary Musical Imagery. Psychology of Music, 40(3), 259-284. https://doi.org/10.1177/0305735611418553

Williamson, V. J. & Stewart, L. (2010). Memory for pitch in congenital amusia: beyond a fine-grained pitch discrimination problem. Memory, 18(6), 657-69. https://doi.org/10.1080/09658211.2010.501339

Williamson, V. J., Liu, F., Peryer, G., Grierson, M. & Stewart, L. (2012). Perception and action de-coupling in congenital amusia: sensitivity to task demands. Neuropsychologia, 50(1), 172-80. https://doi.org/10.1016/j.neuropsychologia.2011.11.015

Williamson, V. J., Liikkanen, L. A., Jakubowski, K. & Stewart, L. (2014). Sticky tunes: how do people react to involuntary musical imagery? PLoS One, 9(1), e86170. https://doi.org/10.1371/journal.pone.0086170

Williamson, V. J., Cocchini, G. & Stewart, L. (2011). The relationship between pitch and space in congenital amusia. Brain and Cognition, 76(1), 70-6. https://doi.org/10.1016/j.bandc.2011.02.016

Westergaard, T. & Møller, C. (2026). Musical Waypoints in Primary School. Danish Journal of Musicology, 47 (July). https://tidsskrift.dk/music/article/view/169350

Wells, C. A., Salvage-Jones, J. A., Li, X., Hitchens, K., Butcher, S., Murray, R. Z., Beckhouse, A. G., Lo, Y.-L.-S., Manzanero, S., Cobbold, C., Schroder, K., Ma, B., Orr, S., Stewart, L., Lebus, D., Sobieszczuk, P., Hume, D. A., Stow, J., Blanchard, H. & Ashman, R. B. (2008). The macrophage-inducible C-type lectin, Mincle, is an essential component of the innate immune response to Candida albicans. Journal of Immunology, 180(11), 7404-7413.

Weinstein, D., Launay, J., Pearce, E., Dunbar, R. I. M. & Stewart, L. (2016). Group music performance causes elevated pain thresholds and social bonding in small and large groups of singers. Evolution and Human Behavior, 37(2), 152-158. https://doi.org/10.1016/j.evolhumbehav.2015.10.002

Wehmeyer, L., Baldermann, J. C., Pogosyan, A., Rodriguez Plazas, F., Loehrer, P. A., Bonetti, L., Yassine, S., zur Mühlen, K., Schüller, T., Kuhn, J., Visser-Vandewalle, V., Tan, H. & Andrade, P. (2026). Thalamo-frontal functional connectivity patterns in Tourette Syndrome: Insights from combined intracranial DBS and EEG recordings. Molecular Psychiatry, 31(1), 231-242. https://doi.org/10.1038/s41380-025-03220-9

Wang, Q. J., Fernandes, H. & Fjaeldstad, A. W. (2021). Is perceptual learning generalisable in the chemical senses? A longitudinal pilot study based on a naturalistic blind wine tasting training scenario. Chemosensory Perception, 14(2), 64-74. https://doi.org/10.1007/s12078-020-09284-x

Vuust, P., Liikala, L., Näätänen, R., Brattico, P. & Brattico, E. (2016). Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm. Clinical Neurophysiology, 4(127), 2065-2077. https://doi.org/10.1016/j.clinph.2015.11.009

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