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Center for Music in the Brain

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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., 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.

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

Stewart, L. & Walsh, V. (2002). Congenital amusia: all the songs sound the same. Current Biology, 12(12), R420-1.

Stewart, L. (2008). Do musicians have different brains? Clinical Medicine, 8(3), 304-8.

Stewart, L. & Senior, C. (2001). Experiences from 'Brain Camp'. Trends in Cognitive Sciences, 5(11), 465.

Stewart, L., Overath, T., Warren, J. D., Foxton, J. M. & Griffiths, T. D. (2008). fMRI evidence for a cortical hierarchy of pitch pattern processing. PLOS ONE, 3(1), e1470. https://doi.org/10.1371/journal.pone.0001470

Stewart, L. (2008). Fractionating the musical mind: insights from congenital amusia. Current Opinion in Neurobiology, 18(2), 127-30. https://doi.org/10.1016/j.conb.2008.07.008

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

Stewart, L. (2009). Lost in music. Psychologist, 22(12), 1030-1032.

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

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

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

Stewart, L., Walsh, V., Frith, U. & Rothwell, J. C. (2001). TMS produces two dissociable types of speech disruption. NeuroImage, 13(3), 472-8. https://doi.org/10.1006/nimg.2000.0701

Stewart, L., Walsh, V., Frith, U. & Rothwell, J. (2001). Transcranial magnetic stimulation produces speech arrest but not song arrest. Annals of the New York Academy of Sciences, 930, 433-5.

Stewart, L. & Williamon, A. (2008). What are the implications of neuroscience for musical education? Educational Research, 50(2), 177-186. https://doi.org/10.1080/00131880802082666

Stewart, L. (2002). Zoning in on music and the brain. Trends in Cognitive Sciences, 6(11), 451.

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E. & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), Article 1035. https://doi.org/10.1038/s41467-019-08934-3

Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D. & Grube, M. (2021). Auditory beat perception is related to speech output fluency in post-stroke aphasia. Scientific Reports, 11, Article 3168. https://doi.org/10.1038/s41598-021-82809-w

Steenstrup, K., Haumann, N. T., Kleber, B., Camarasa, C., Vuust, P. & Petersen, B. (2021). Imagine, Sing, Play- Combined Mental, Vocal and Physical Practice Improves Musical Performance. Frontiers in Psychology, 12, Article 757052. https://doi.org/10.3389/fpsyg.2021.757052

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). Autistic Cognition: Charting Routes to Anxiety. Trends in Cognitive Sciences, 25(7), 571-581. https://doi.org/10.1016/j.tics.2021.03.014

Stark, E. A., Vuust, P. & Kringelbach, M. L. (2018). Music, dance, and other art forms: New insights into the links between hedonia (pleasure) and eudaimonia (well-being). Progress in Brain Research, 237, 129-152. https://doi.org/10.1016/bs.pbr.2018.03.019

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

Stark, E. A., Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A. & Kringelbach, M. L. (2021). The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality. Cerebral cortex (New York, N.Y. : 1991), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Spaccavento, S., Carraturo, G., Brattico, E., Matarrelli, B., Rivolta, D., Montenegro, F., Picciola, E., Haumann, N. T., Jespersen, K. V., Vuust, P. & Losavio, E. (2024). Musical and electrical stimulation as intervention in disorder of consciousness (DOC) patients: A randomised cross-over trial. PLOS ONE, 19(5), Article e0304642. https://doi.org/10.1371/journal.pone.0304642

Soler-Toscano, F., Galadí, J. A., Escrichs, A., Perl, Y. S., López-González, A., Sitt, J. D., Annen, J., Gosseries, O., Thibaut, A., Panda, R., Esteban, F. J., Laureys, S., Kringelbach, M. L., Langa, J. A. & Deco, G. (2022). What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics. PLOS Computational Biology, 18(9), Article e1010412. https://doi.org/10.1371/journal.pcbi.1010412

Smit, E. A., Rathcke, T. & Keller, P. E. (2023). Tuning the Musical Mind: Next Steps in Solving the Puzzle of the Cognitive Transfer of Musical Training to Language and Back. Music & Science, 6. https://doi.org/10.1177/20592043231175251

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

Simola, J., Siebenhühner, F., Myrov, V., Kantojärvi, K., Paunio, T., Palva, J. M., Brattico, E. & Palva, S. (2022). Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations. iScience, 25(9), Article 104985. https://doi.org/10.1016/j.isci.2022.104985

Signorelli, C. M., Uhrig, L., Kringelbach, M., Jarraya, B. & Deco, G. (2021). Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss. NeuroImage, 227, Article 117618. https://doi.org/10.1016/j.neuroimage.2020.117618

Shoemark, H., Dahlstrøm, M., Bedford, O. & Stewart, L. (2021). The effect of a voice-centered psycho-educational program on maternal self-efficacy: A feasibility study. International Journal of Environmental Research and Public Health, 18(5), Article 2537. https://doi.org/10.3390/ijerph18052537

Shinozuka, K., Tewarie, P. K. B., Luppi, A., Lynn, C., Roseman, L., Muthukumaraswamy, S., Nutt, D. J., Carhart-Harris, R., Deco, G. & Kringelbach, M. L. (2025). LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics. Imaging Neuroscience, 3. https://doi.org/10.1162/imag_a_00420

Shestakova, A., Brattico, E., Huotilainen, M., Galunov, U., Soloviev, A., Sams, M., Ilmoniemi, RJ. & Naatanen, R. (2002). Abstract phoneme representations in the left temporal cortex: magnetic mismatch negativity study. NeuroReport, 13(14), 1813-1816.

Shestakova, A., Brattico, E., Soloviev, A., Klucharev, U. & Huotilainen, M. (2004). Orderly cortical representation of vowel categories presented by multiple exemplars. Brain Research, 21(3), 342-350. https://doi.org/10.1016/j.cogbrainres.2004.06.011

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

Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K., Brattico, E., Vuust, P. & Petersen, B. (2023). Adapting to the Sound of Music - Development of Music Discrimination Skills in Recently Implanted CI Users. Trends in Hearing, 27. https://doi.org/10.1177/23312165221148035

Seeberg, A. B., Matthews, T. E., Højlund, A., Vuust, P. & Petersen, B. (2025). Beyond syncopation: The number of rhythmic layers shapes the pleasurable urge to move to music. Cognition, 262, Article 106178. https://doi.org/10.1016/j.cognition.2025.106178

Displaying results 401 to 450 out of 899

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Revised 20.09.2024

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Hella Kastbjerg