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Center for Music in the Brain

Our publications

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

Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A. & Zatorre, R. J. (2019). Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning? The Journal of neuroscience : the official journal of the Society for Neuroscience, 39(47), 9397-9409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019

Mencke, I., Quiroga-Martinez, D. R., Omigie, D., Michalareas, G., Schwarzacher, F., Haumann, N. T., Vuust, P. & Brattico, E. (2021). Prediction under uncertainty: Dissociating sensory from cognitive expectations in highly uncertain musical contexts. Brain Research, 1773, [147664]. https://doi.org/10.1016/j.brainres.2021.147664

Hansen, N. C., Kragness, H. E., Vuust, P., Trainor, L. & Pearce, M. T. (2021). Predictive Uncertainty Underlies Auditory Boundary Perception. Psychological Science, 32(9), 1416-1425. https://doi.org/10.1177/0956797621997349

Gebauer, L., Kringelbach, M. L. & Vuust, P. (2015). Predictive coding links perception, action, and learning to emotions in music. Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews, 13, 50-52. https://doi.org/10.1016/j.plrev.2015.04.023

Nwebube, C., Glover, V. & Stewart, L. (2017). Prenatal listening to songs composed for pregnancy and symptoms of anxiety and depression: A pilot study. BMC Complementary and Alternative Medicine, 17(1), [256]. https://doi.org/10.1186/s12906-017-1759-3

Omigie, D. & Stewart, L. (2011). Preserved statistical learning of tonal and linguistic material in congenital amusia. Frontiers in Psychology, 2, 109. https://doi.org/10.3389/fpsyg.2011.00109

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

Jakubowski, K., Farrugia, N. & Stewart, L. (2016). Probing imagined tempo for music: Effects of motor engagement and musical experience. Psychology of Music, 44(6), 1274-1288. https://doi.org/10.1177/0305735615625791

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

Bonetti, L., Brattico, E., Carlomagno, F., Donati, G., Cabral, J., Haumann, N. T., Deco, G., Vuust, P. & Kringelbach, M. L. (2021). Rapid encoding of musical tones discovered in whole-brain connectivity. NeuroImage, 245, [118735]. https://doi.org/10.1016/j.neuroimage.2021.118735

Deco, G., Sanz Perl, Y., Vuust, P., Tagliazucchi, E., Kennedy, H. & Kringelbach, M. L. (2021). Rare long-range cortical connections enhance human information processing. Current Biology, 31(20), 4436-4448.e5. https://doi.org/10.1016/j.cub.2021.07.064

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

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), [5812]. https://doi.org/10.1038/s41467-022-33578-1

Rømer Thomsen, K., Whybrow, P. C. & Kringelbach, M. L. (2015). Reconceptualizing anhedonia: novel perspectives on balancing the pleasure networks in the human brain. Frontiers in Behavioral Neuroscience, 9(49). https://doi.org/10.3389/fnbeh.2015.00049

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

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

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

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, [102299]. https://doi.org/10.1016/j.nicl.2020.102299

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2020). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research, 29(1), [e12901]. https://doi.org/10.1111/jsr.12901

Bodak, R., Malhotra, P., Bernardi, N. F., Cocchini, G. & Stewart, L. (2014). Reducing chronic visuo-spatial neglect following right hemisphere stroke through instrument playing. Frontiers in Human Neuroscience, 8, 413. https://doi.org/10.3389/fnhum.2014.00413

Costa, M., Bonetti, L., Belelli, M., Lantieri, C., Vignali, V. & Simone, A. (2016). Reflective tape applied to bicycle frame and conspicuity enhancement at night. Human Factors, 485.

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J. & Korhonen, O. (2018). Regions of Interest as nodes of dynamic functional brain networks. Network neuroscience (Cambridge, Mass.), 2(4), 513-535. https://doi.org/10.1162/netn_a_00047

Donnelly-Kehoe, P., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J., Lindenberger, U. & Deco, G. (2019). Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity. Human Brain Mapping, 40(10), 2967-2980. https://doi.org/10.1002/hbm.24572

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Reorganization of brain structural networks in aging: A longitudinal study. Journal of Neuroscience Research, 99(5), 1354-1376. https://doi.org/10.1002/jnr.24795

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

Deco, G., Tononi, G., Boly, M. & Kringelbach, M. L. (2015). Rethinking segregation and integration: contributions of whole-brain modelling. Nature Reviews. Neuroscience, 16(7), 430-9. https://doi.org/10.1038/nrn3963

Kobeleva, X., López-González, A., Kringelbach, M. L. & Deco, G. (2021). Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics. Frontiers in Neuroscience, 15, [715861]. https://doi.org/10.3389/fnins.2021.715861

Deco, G., Vidaurre Henche, D. & Kringelbach, M. L. (2021). Revisiting the global workspace orchestrating the hierarchical organization of the human brain. Nature Human Behaviour, 5(4), 497-511. https://doi.org/10.1038/s41562-020-01003-6

Bonetti, L., Haumann, N. T., Vuust, P., Kliuchko, M. & Brattico, E. (2017). Risk of depression enhances auditory Pitch discrimination in the brain as indexed by the mismatch negativity. Clinical Neurophysiology, 128(10), 1923-1936.

Hindriks, R., Woolrich, M., Luckhoo, H., Joensson, M., Mohseni, H., Kringelbach, M. L. & Deco, G. (2015). Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex. NeuroImage, 106, 328-339. https://doi.org/10.1016/j.neuroimage.2014.10.057

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

Caclin, A., Brattico, E., Tervaniemi, M., Naatanen, R., Morlet, D., Giard, M-H. & McAdams, S. (2006). Separate neural processing of timbre dimensions in auditory sensory memory. Journal of Cognitive Neuroscience (Online), 18(12), 1959-1972.

Fasano, M. C., Semeraro, C., Cassibba, R., Kringelbach, M. L., Monacis, L., de Palo, V., Vuust, P. & Brattico, E. (2019). Short-Term Orchestral Music Training Modulates Hyperactivity and Inhibitory Control in School-Age Children: A Longitudinal Behavioural Study. Frontiers in Psychology, 10(750).

Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B. & Deco, G. (2021). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226, [117470]. https://doi.org/10.1016/j.neuroimage.2020.117470

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Signatures of white-matter microstructure degradation during aging and its association with cognitive status. Scientific Reports, 11(1), [4517]. https://doi.org/10.1038/s41598-021-83983-7

Livingstone-Lee, S. A., Murchison, S., Zeman, P. M., Gandhi, M., van Gerven, D., Stewart, L., Livingston, N. J. & Skelton, R. W. (2011). Simple gaze analysis and special design of a virtual Morris water maze provides a new method for differentiating egocentric and allocentric navigational strategy choice. Behavioural Brain Research, 225(1), 117-25. https://doi.org/10.1016/j.bbr.2011.07.005

Sears, D., Pearce, M., Caplin, W. & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47, 29-52. https://doi.org/10.1080/09298215.2017.1367010

Harrison, P. M. C. & Pearce, M. T. (2020). Simultaneous Consonance in Music Perception and Composition. Psychological Review, 127(2), 216-244. https://doi.org/10.1037/rev0000169

Brattico, E., Winkler, M., Naatanen, R., Paavilainen, P. & Tervaniemi, M. (2002). Simultaneous storage of two complex temporal sound patterns in auditory sensory memory. NeuroReport, 13(14), 1747-1751.

Deco, G., Cabral, J., Woolrich, M. W., Stevner, A. B. A., van Hartevelt, T. J. & Kringelbach, M. L. (2017). Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. NeuroImage, (152), 538-550. https://doi.org/10.1016/j.neuroimage.2017.03.023

Lapenta, O. M., Keller, P. E., Nozaradan, S. & Varlet, M. (2023). Spatial and temporal (non)binding of audiovisual rhythms in sensorimotor synchronisation. Experimental Brain Research, 241(3), 875-887. https://doi.org/10.1007/s00221-023-06569-x

Verga, L., Sroka, M. G. U., Varola, M., Villanueva, S. & Ravignani, A. (2022). Spontaneous rhythm discrimination in a mammalian vocal learner. Biology Letters, 18(10), 20220316. https://doi.org/10.1098/rsbl.2022.0316

Pearce, M. (2018). Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. Annals of the New York Academy of Sciences, 1423, 378-395. https://doi.org/10.1111/nyas.13654

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

Perl, Y. S., Escrichs, A., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2022). Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics. PLOS Computational Biology, 18(11), [e1010662]. https://doi.org/10.1371/journal.pcbi.1010662

Corcoran, C., Stupacher, J. & Vuust, P. (2022). Swinging the Score? Swing Phrasing Cannot Be Communicated via Explicit Notation Instructions Alone. Music Perception, 39(4), 386-400. https://doi.org/10.1525/MP.2022.39.4.386

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

Omigie, D., Muellensiefen, D. & Stewart, L. (2012). THE EXPERIENCE OF MUSIC IN CONGENITAL AMUSIA. Music Perception, 30(1), 1-18. https://doi.org/10.1525/MP.2012.30.1.1

Displaying results 551 to 600 out of 677

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Revised 26.03.2021

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Hella Kastbjerg