Find

NCA Publications

New NCA Publications

Sort by: Date | Author | Title

Vuust, P., Brattico, E., Seppänen, M., Näätänen, R. & Tervaniemi, M. (2012). The sound of music: Differentiating musicians using a fast, musical multi-feature mismatch negativity paradigm. Neuropsychologia. http://www.sciencedirect.com/science/article/pii/S002839321200098X

Vuust, P., Brattico, E., Seppänen, M., Näätänen, R. & Tervaniemi, M. (2012). Practiced musical style shapes auditory skills. New York Academy of Sciences. Annals, 1252, 139-46. https://doi.org/10.1111/j.1749-6632.2011.06409.x

Vuust, P. (2010). Musik, semiotik og hjerneforskning: Musik på hjernen. In Musik& videnskabsteori (1. udgave ed.). Systime. https://shop.systime.dk/dk/fag/musik/musik-videnskabsteori-23480.html

Vuust, P. & Witek, M. A. G. (2014). Rhythmic complexity and predictive coding: a novel approach to modeling rhythm and meter perception in music. Frontiers in Psychology, 5, Article 1111. https://doi.org/10.3389/fpsyg.2014.01111

Vuust, P., Gebauer, L. K. & Witek, M. A. G. (2014). Neural underpinnings of music: the polyrhythmic brain. Advances in Experimental Medicine and Biology, 829, 339-56. https://doi.org/10.1007/978-1-4939-1782-2_18

Vuust, P., Brattico, E., Glerean, E., Seppänen, M., Pakarinen, S., Tervaniemi, M. & Näätänen, R. (2011). New fast mismatch negativity paradigm for determining the neural prerequisites for musical ability. Cortex, 47(9), 1091-8. https://doi.org/10.1016/j.cortex.2011.04.026

Vuust, P., Liikala, L., Näätänen, R., Brattico, P. & Brattico, E. (2016). Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm. Clinical Neurophysiology, 4(127), 2065-2077. https://doi.org/10.1016/j.clinph.2015.11.009

Vuust, P. & Kringelbach, M. L. (2017). Music Improvisation: A Challenge for Empirical Research. In R. Ashley & R. Timmers (Eds.), The Routledge Companion to Music Cognition (pp. 265-276). Routledge. https://doi.org/10.4324/9781315194738

Vuust, P., Petersen, B., Sørensen, S. D. & Ross, S. (2017). Musik i hjernen: Resultatrapport for Masseeksperiment 2016. Astra.

Vuust, P. (2017). Musik på hjernen. People's Press.

Vuust, P., Dietz, M., Witek, M. & Kringelbach, M. L. (2018). Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences, 1423(1), 19-29. https://doi.org/10.1111/nyas.13622

Vuust, P. (2018). Groove on the Brain. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 101-110). Springer. https://doi.org/10.1007/978-3-030-01692-0_7

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Reply to ‘Towards a cross-cultural framework for predictive coding of music’. Nature Reviews Neuroscience, 23(10), 641-642. https://doi.org/10.1038/s41583-022-00621-5

Vuust, P. (2006). Neural processing of polyrhythmic structures in music. Aarhus Universitet, Sundhedsvidenskabeligt Fakultet.

Vu-Quang, H., Vinding, M. S., Nielsen, T., Ullisch, M. G., Nielsen, N. C. & Kjems, J. (2016). Theranostic Tumor Targeted Nanoparticles Combining Drug Delivery with Dual Near Infrared and (19)F Magnetic Resonance Imaging Modalities. Nanomedicine: Nanotechnology, Biology and Medicine, 12(7), 1873-1884. https://doi.org/10.1016/j.nano.2016.04.010

Vu-Quang, H., Vinding, M. S., Nielsen, T., Ullisch, M. G., Nielsen, N. C., Nguyen, D. T. & Kjems, J. (2019). Pluronic F127-folate coated super paramagenic iron oxide nanoparticles as contrast agent for cancer diagnosis in magnetic resonance imaging. Polymers, 11(4), Article 743. https://doi.org/10.3390/polym11040743

Vu-Quang, H., Vinding, M. S., Jakobsen, M., Song, P., Dagnaes-Hansen, F., Nielsen, N. C. & Kjems, J. (2019). Imaging rheumatoid arthritis in mice using combined near infrared and ¹⁹F magnetic resonance modalities. Scientific Reports, 9, Article 14314. https://doi.org/10.1038/s41598-019-50043-0

Vu Quang, H., Vinding, M. S., Xia, D., Nielsen, T., Ullisch, M. G., Dong, M., Nielsen, N. C. & Kjems, J. (2016). Chitosan-coated Poly(lactic-co-glycolic acid) Perfluorooctyl Bromide Nanoparticles for Cell Labeling in 19F Magnetic Resonance Imaging. Carbohydrate Polymers, 136, 936-944. https://doi.org/10.1016/j.carbpol.2015.09.076

Vu Quang, H., Chang, C.-C., Song, P., Hauge, E. M. & Kjems, J. (2018). Caveolae-mediated mesenchymal stem cell labelling by PSS-coated PLGA PFOB nano-contrast agent for MRI. Theranostics, 8(10), 2657-2671. https://doi.org/10.7150/thno.23206

Displaying results 341 to 360 out of 6546

18

Revised 11.09.2025