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Center for Music in the Brain

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Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2026). EEG-ECeG Coherence Mapping of Human Cerebro-cerebellar Projections: An Exploratory Study. Cerebellum, 25(5), Article 129. https://doi.org/10.1007/s12311-026-02065-4

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, T. M., Saarikallio, S., Haumann, N. T., Shtyrov, Y. & Brattico, E. (2018). Interaction of Visually and Auditorily Derived Affect: An MEG Study. Poster session presented at European Society for Cognitive and Affective Neuroscience, meeting in Leiden, 2018, Leiden, Netherlands.

Tiihonen, M., Westner, B. U., Butz, M. & Dalal, S. S. (2021). Parkinson’s disease patients benefit from bicycling - a systematic review and meta-analysis. npj Parkinson's Disease , 7(1), Article 86. https://doi.org/10.1038/s41531-021-00222-6

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

Tiihonen, T. M. (2020). Multimodality of Affect From concept to neurophysiology. [PhD dissertation, Aarhus University].

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. (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

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

Tervaniemi, M. & Brattico, E. (2004). From sounds to music - Towards understanding the neurocognition of musical sound perception. Journal of Consciousness Studies, 11(3-4), 9-27.

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.

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. Cognitive 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. A. & Wood, G. (2018). Effects of cultural background and musical preference on affective social entrainment with music. In Proceedings of ICMPC15/ESCOM10 (pp. 438-441).

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., 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., 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., Møller, C., Celma-Miralles, A. & Vuust, P. (2021). Neural entrainment to perceptually ambiguous polyrhythms depends on the metrical context. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

Stupacher, J., Møller, C., Celma-Miralles, A. & Vuust, P. (2021). The bass lays down the beat in polyrhythms. Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Stupacher, J. & Mårup, S. H. (Eds.) (2021). SysMus21 Conference Proceedings. Aarhus Universitet. https://doi.org/10.17605/OSF.IO/HG6RZ

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., 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

Stupacher, J., Hove, M. J. & Vuust, P. (2023). The experience of musical groove: Body movement, pleasure, and social bonding. In Performing Time: Synchrony and Temporal Flow in Music and Dance (pp. 321-328). Oxford University Press.

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., 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. (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

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

Stewart, L. (2008). Do musicians have different brains? Clinical Medicine, Journal of the Royal College of Physicians of London, 8(3), 304-8.

Stewart, L. & Walsh, V. (2007). Music perception: sounds lost in space. Current Biology, 17(20), R892-3. https://doi.org/10.1016/j.cub.2007.08.012

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

Stewart, L., von Kriegstein, K., Warren, J. D. & Griffiths, T. D. (2006). Music and the brain: disorders of musical listening. Brain, 129(Pt 10), 2533-53. https://doi.org/10.1093/brain/awl171

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

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, 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., 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. & Walsh, V. (2005). Infant learning: music and the baby brain. Current Biology, 15(21), R882-4. https://doi.org/10.1016/j.cub.2005.10.019

Displaying results 101 to 150 out of 1012

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Revised 20.09.2024

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Hella Kastbjerg