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Center for Music in the Brain

Our publications

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

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

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

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

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

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., Von Kriegstein, K., Bella, S. D., Warren, J. D. & Griffiths, T. D. (2008). Disorders of Musical Cognition. In The Oxford Handbook of Music Psychology Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199298457.013.0017

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, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 1350-1358.

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, [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 University. 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), [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, [906190]. https://doi.org/10.3389/fpsyg.2022.906190

Sørensen, S. D., Petersen, B., Ovesen, T. & Vuust, P. (2015). Musiktrænings-app til patienter med cochlear implantat.

Sørensen, S. D., Petersen, B., Brattico, E., Ovesen, T. & Vuust, P. (2016). Gamified Musical Ear Training for Cochlear Implant Users.

Sørensen, S. D., Petersen, B., Ross, S., Wallentin, M., Heggli, O. A., Haumann, N. T., Brattico, E. & Vuust, P. (2017). The miniMET - A novel tool for measuring musical abilities in children. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

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

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

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), [9158]. https://doi.org/10.3390/app11199158

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), [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 : the official journal of the Society for Neuroscience, 32(35), 12251-7. https://doi.org/10.1523/JNEUROSCI.0082-12.2012

Tervaniemi, M., Huotilainen, M. & Brattico, E. (2014). Melodic multi-feature paradigm reveals auditory profiles in music-sound encoding. Frontiers in Human Neuroscience, 8, [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.

Thaler, H., Skewes, J. C., Gebauer, L., Christensen, P., Prkachin, K. M. & Jegindø Elmholdt, E-M. (2017). 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

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 of the United States of America, 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 of the United States of America, 110(7), 2676-2676. https://doi.org/10.1073/pnas.1222350110

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), [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), [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), [e0274556]. https://doi.org/10.1371/journal.pone.0274556

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

Toiviainen, P., Alluri, V. & Brattico, E. (2015). Lateralized modulation of amygdala connectivity by valence during continuous music listening. Abstract from ICME4, Geneve, Switzerland.

Toiviainen, P., Alluri, V., Burunat, I. & Brattico, E. (2015). Whole-brain functional connectivity during naturalistic music listening: Effect of musical training. Abstract from Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, United Kingdom.

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

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, [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, [147248]. https://doi.org/10.1016/j.brainres.2020.147248

Trusbak Haumann, N., Petersen, B., Friis Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2021). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing.

Trusbak Haumann, N., Petersen, B., Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2021). MMN as a reliable marker of music discrimination in individual cochlear implant users: MMN in individual CI. Poster session presented at 3RD MUSIC & COCHLEAR IMPLANTS SYMPOSIUM, Cambridge, United Kingdom.

Trusbak Haumann, N. (2022). Clinical applications of naturalistic MMN paradigms. 86. Abstract from The 9th Mismatch Negativity conference, Fukushima, Japan.

Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Dimension reduction for individual ICA to decompose FMRI during real-world experiences: Principal component analysis vs. canonical correlation analysis. In ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 137-142)

Tsatsishvili, V., Cong, F., Ristaniemi, T., Toiviainen, P., Alluri, V., Brattico, E. & Nandi, A. (2014). Generation of stimulus features for analysis of FMRI during natural auditory experiences. In European Signal Processing Conference (pp. 2490-2494). [6952938] European Signal Processing Conference, EUSIPCO.

Displaying results 551 to 600 out of 652

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Revised 26.03.2021

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Hella Kastbjerg