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Center for Music in the Brain

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van Hartevelt, T. J., Cabral, J., Møller, A., FitzGerald, J. J., Green, A. L., Aziz, T. Z., Deco, G. & Kringelbach, M. L. (2015). Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation. Frontiers in Behavioral Neuroscience, 9, 167. https://doi.org/10.3389/fnbeh.2015.00167

van der Werff, J., Tufarelli, T., Verga, L. & Ravignani, A. (2025). Humans can find rhythm in randomly timed sounds. Royal Society Open Science, 12(8), Article 250453. https://doi.org/10.1098/rsos.250453

van der Werff, J., Ravignani, A. & Jadoul, Y. (2024). thebeat: A Python package for working with rhythms and other temporal sequences. Behavior Research Methods, 56(4), 3725-3736. https://doi.org/10.3758/s13428-023-02334-8

Uribe, C., Escrichs, A., de Filippi, E., Sanz-Perl, Y., Junque, C., Gomez-Gil, E., Kringelbach, M. L., Guillamon, A. & Deco, G. (2022). Whole-brain dynamics differentiate among cisgender and transgender individuals. Human Brain Mapping, 43(13), 4103-4115. https://doi.org/10.1002/hbm.25905

Tuulari, J. J., Rajasilta, O., Cabral, J., Kringelbach, M. L., Karlsson, L. & Karlsson, H. (2024). Maternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network. Stress, 27(1), Article 2275207. https://doi.org/10.1080/10253890.2023.2275207

Turriziani, P., Campo, F. F., Bonaventura, R. E., Mangano, G. R. & Oliveri, M. (2024). Modulation of memory by prism adaptation in healthy subjects. Scientific Reports, 14(1), Article 25358. https://doi.org/10.1038/s41598-024-77027-z

Trusbak Haumann, N., Hansen, B., Huotilainen, M., Vuust, P. & Brattico, E. (2020). Applying stochastic spike train theory for high-accuracy human MEG/EEG. Journal of Neuroscience Methods, 340, Article 108743. https://doi.org/10.1016/j.jneumeth.2020.108743

Trusbak Haumann, N., Lumaca, M., Kliuchko, M., Santacruz, J. L., Vuust, P. & Brattico, E. (2021). Extracting human cortical responses to sound onsets and acoustic feature changes in real music, and their relation to event rate. Brain Research, 1754, Article 147248. https://doi.org/10.1016/j.brainres.2020.147248

Trusbak Haumann, N., Petersen, B., Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2023). Mismatch negativity as a marker of music perception in individual cochlear implant users: A spike density component analysis study. Clinical Neurophysiology, 148, 76-92. https://doi.org/10.1016/j.clinph.2023.01.015

Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, Article 116191. https://doi.org/10.1016/j.neuroimage.2019.116191

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2025). Distinct movement related changes in EEG and ECeG power during finger and foot movement. Neuroscience Letters, 853, Article 138207. https://doi.org/10.1016/j.neulet.2025.138207

Todd, N. P. M., Keller, P. E., Govender, S. & Colebatch, J. G. (2025). Electrophysiological Activity Associated with a Cross-Modal Anapaest Rhythm: Evidence for the Vestibular Syncopation Hypothesis. Timing & Time Perception, 13(2), 173-226. https://doi.org/10.1163/22134468-bja10108

Todd, N. P. M., Govender, S., Keller, P. E. & Colebatch, J. G. (2023). Electrophysiological activity from over the cerebellum and cerebrum during eye blink conditioning in human subjects. Physiological Reports, 11(6), Article e15642. https://doi.org/10.14814/phy2.15642

Todd, N. P. M., Govender, S., Keller, P. E. & Colebatch, J. G. (2024). Electrophysiological Activity from the Eye Muscles, Cerebellum and Cerebrum During Reflexive (Classical Pavlovian) Versus Voluntary (Ivanov-Smolensky) Eye-Blink Conditioning. Cerebellum, 23(3), 1086-1100. https://doi.org/10.1007/s12311-023-01613-6

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2023). Extended source analysis of movement related potentials (MRPs) for self-paced hand and foot movements demonstrates opposing cerebral and cerebellar laterality: a preliminary study. Neuroscience Letters, 815, Article 137476. https://doi.org/10.1016/j.neulet.2023.137476

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

Tiihonen, M., Brattico, E., Maksimainen, J., Wikgren, J. & Saarikallio, S. (2017). Constituents of music and visual-art related pleasure - A critical integrative literature review. Frontiers in Psychology, 8(JUL), Article 1218. https://doi.org/10.3389/fpsyg.2017.01218

Tiihonen, M., Jacobsen, T., Trusbak Haumann, N., Saarikallio, S. & Brattico, E. (2022). I know what i like when i see it: Likability is distinct from pleasantness since early stages of multimodal emotion evaluation. PLoS One, 17(9), Article e0274556. https://doi.org/10.1371/journal.pone.0274556

Tiihonen, M., Haumann, N. T., Shtyrov, Y., Vuust, P., Jacobsen, T. & Brattico, E. (2024). The impact of crossmodal predictions on the neural processing of aesthetic stimuli. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220418. https://doi.org/10.1098/rstb.2022.0418

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

Thaler, H., Skewes, J. C., Gebauer, L., Christensen, P., Prkachin, K. M. & Jegindø Elmholdt, E.-M. (2018). Typical pain experience but underestimation of others’ pain: Emotion perception in self and others in autism spectrum disorder. Autism, 22(6), 751-762. https://doi.org/10.1177/1362361317701269

Tewarie, P. K. B., Hindriks, R., Lai, Y. M., Sotiropoulos, S. N., Kringelbach, M. & Deco, G. (2023). Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. NeuroImage, 276, Article 120186. https://doi.org/10.1016/j.neuroimage.2023.120186

Tervaniemi, M., Huotilainen, M., Brattico, E., Ilmoniemi, RJ., Reinikainen, K. & Alho, K. (2003). Event-related potentials to expectancy violation in musical context. Musicae Scientiae, 7(2), 241-261.

Tervaniemi, M., Huotilainen, M. & Brattico, E. (2014). Melodic multi-feature paradigm reveals auditory profiles in music-sound encoding. Frontiers in Human Neuroscience, 8, Article 496. https://doi.org/10.3389/fnhum.2014.00496

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

Te Lindert, B. H. W., Itzhacki, J., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2018). Bright environmental light ameliorates deficient subjective 'liking' in insomnia: an experience sampling study. Sleep, 41(4), Article 022. https://doi.org/10.1093/sleep/zsy022

Teki, S., Kumar, S., von Kriegstein, K., Stewart, L., Lyness, C. R., Moore, B. C. J., Capleton, B. & Griffiths, T. D. (2012). Navigating the auditory scene: an expert role for the hippocampus. The Journal of neuroscience, 32(35), 12251-7. https://doi.org/10.1523/JNEUROSCI.0082-12.2012

Tardón, L. J., Rodríguez-Rodríguez, I., Haumann, N. T., Brattico, E. & Barbancho, I. (2021). Music with concurrent saliences of musical features elicits stronger brain responses. Applied Sciences, 11(19), Article 9158. https://doi.org/10.3390/app11199158

Tanne, A., Ma, B., Boudou, F., Tailleux, L., Botella, H., Badell, E., Levillain, F., Taylor, M. E., Drickamer, K., Nigou, J., Dobos, K. M., Puzo, G., Vestweber, D., Wild, M. K., Marcinko, M., Sobieszczuk, P., Stewart, L., Lebus, D., Gicquel, B. & Neyrolles, O. (2009). A murine DC-SIGN homologue contributes to early host defense against Mycobacterium tuberculosis. Journal of Experimental Medicine, 206(10), 2205-20. https://doi.org/10.1084/jem.20090188

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

Szakács, H., Mutlu, M. C., Balestrieri, G., Gombos, F., Braun, J., Kringelbach, M. L., Deco, G. & Kovács, I. (2024). Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization. Advanced Science, 11(21), Article 2308364. https://doi.org/10.1002/advs.202308364

Suuronen, I., Luotonen, S., Railo, H., Airola, A., Bano, W., Merisaari, H., Pulli, E. P., Wigley, I. L. C. M., Vartiainen, E., Hashempour, N., Karlsson, H., Karlsson, L., Kringelbach, M. L., Batalle, D. & Tuulari, J. J. (2026). Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age. Communications Biology, 9(1), Article 211. https://doi.org/10.1038/s42003-025-09488-5

Stupacher, J., Wrede, M. & Vuust, P. (2022). A brief and efficient stimulus set to create the inverted U-shaped relationship between rhythmic complexity and the sensation of groove. PLoS One, 17(5), Article e0266902. https://doi.org/10.1371/journal.pone.0266902

Stupacher, J., Bechtold, T. & Senn, O. (2024). A text mining approach to the use of “groove” in everyday language. Psychology of Music, 52(3), 340-361. https://doi.org/10.1177/03057356231205883

Stupacher, J., Møller, C., Celma-Miralles, A. & Vuust, P. (2026). Beat perception in polyrhythms is influenced by spontaneous motor tempo, musicianship, and played musical style. Psychology of Music, 54(2), 215-234. https://doi.org/10.1177/03057356241311581

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10(1), Article 10015. https://doi.org/10.1038/s41598-020-66529-1

Stupacher, J. (2025). Enhancing peer review skills in higher education: a mixed-methods study on challenges and training needs. Discover Education, 4, Article 211. https://doi.org/10.1007/s44217-025-00663-8

Stupacher, J., Mikkelsen, J. & Vuust, P. (2022). Higher empathy is associated with stronger social bonding when moving together with music. Psychology of Music, 50(5), 1511–1526. https://doi.org/10.1177/03057356211050681

Stupacher, J., Matarrelli, B., Cozzoli, D., Ventura, M., Montinaro, F., de Gennaro, L., Vuust, P. & Brattico, E. (2025). Individuals with substance use disorders experience an increased urge to move to complex music. Proceedings of the National Academy of Sciences of the United States of America, 122(20), Article e2502656122. https://doi.org/10.1073/pnas.2502656122

Stupacher, J. (2019). The experience of flow during sensorimotor synchronization to musical rhythms. Musicae Scientiae, 23(3), 348–361. https://doi.org/10.1177/1029864919836720

Stupacher, J., Matthews, T. E., Pando-Naude, V., Foster Vander Elst, O. & Vuust, P. (2022). The sweet spot between predictability and surprise: Musical groove in brain, body, and social interactions. Frontiers in Psychology, 13, Article 906190. https://doi.org/10.3389/fpsyg.2022.906190

Stikvoort, W., Pérez-Ordoyo, E., Mindlin, I., Escrichs, A., Sitt, J. D., Kringelbach, M. L., Deco, G. & Perl, Y. S. (2025). Nonequilibrium brain dynamics elicited as the origin of perturbative complexity. PLoS Computational Biology, 21, Article e1013150. https://doi.org/10.1371/journal.pcbi.1013150

Stewart, L., Verdonschot, R. G., Nasralla, P. & Lanipekun, J. (2013). Action-perception coupling in pianists: learned mappings or spatial musical association of response codes (SMARC) effect? Quarterly Journal of Experimental Psychology, 66(1), 37-50. https://doi.org/10.1080/17470218.2012.687385

Stewart, L. (2005). A neurocognitive approach to music reading. Annals of the New York Academy of Sciences, 1060, 377-86. https://doi.org/10.1196/annals.1360.032

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 48(4), 1350-1358. https://doi.org/10.1007/s10803-015-2517-3

Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R. & Frith, U. (2003). Becoming a pianist. An fMRI study of musical literacy acquisition. Annals of the New York Academy of Sciences, 999, 204-8.

Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R. & Frith, U. (2003). Brain changes after learning to read and play music. NeuroImage, 20(1), 71-83.

Stewart, L. (2011). Characterizing congenital amusia. Quarterly Journal of Experimental Psychology, 64(4), 625-38. https://doi.org/10.1080/17470218.2011.552730

Stewart, L. (2006). Congenital amusia. Current Biology, 16(21), R904-6. https://doi.org/10.1016/j.cub.2006.09.054

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Hella Kastbjerg