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Center for Music in the Brain

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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

Vohryzek, J., Deco, G., Cessac, B., Kringelbach, M. L. & Cabral, J. (2020). Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States. Frontiers in Systems Neuroscience, 14, Article 20. https://doi.org/10.3389/fnsys.2020.00020

Vohryzek, J., Cabral, J., Vuust, P., Deco, G. & Kringelbach, M. L. (2022). Understanding brain states across spacetime informed by whole-brain modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2227), Article 20210247. https://doi.org/10.1098/rsta.2021.0247

Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L. D., Fernandes, H. M., Litvak, V., Kringelbach, M. L. & Deco, G. (2023). Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal, 21, 335-345. https://doi.org/10.1016/j.csbj.2022.11.060

Vohryzek, J., Cabral, J., Timmermann, C., Atasoy, S., Roseman, L., Nutt, D. J., Carhart-Harris, R. L., Deco, G. & Kringelbach, M. L. (2024). The flattening of spacetime hierarchy of the N,N-dimethyltryptamine brain state is characterized by harmonic decomposition of spacetime (HADES) framework. National Science Review, 11(5), Article nwae124. https://doi.org/10.1093/nsr/nwae124

Vohryzek, J., Sanz-Perl, Y., Kringelbach, M. L. & Deco, G. (2025). Human brain dynamics are shaped by rare long-range connections over and above cortical geometry. Proceedings of the National Academy of Sciences of the United States of America, 122(1), Article e2415102122. https://doi.org/10.1073/pnas.2415102122

Vohryzek, J., Luppi, A. I., Atasoy, S., Deco, G., Carhart-Harris, R. L., Timmermann, C. & Kringelbach, M. L. (2025). N,N-dimethyltryptamine effects on connectome harmonics, subjective experience and comparative psychedelic experiences. Neuropsychopharmacology, 50(12), 1768-1776. https://doi.org/10.1038/s41386-025-02190-4

Vila-Vidal, M., Capouskova, K., Atasoy, S., Kringelbach, M. L. & Deco, G. (2020). Uncovering the spatiotemporal scales of common neuro-mental constructs: Comment on “Is temporo-spatial dynamics the ‘common currency’ of brain and mind? In Quest of ‘Spatiotemporal Neuroscience’ ” by Georg Northoff et al. Physics of Life Reviews, 33, 64-66. https://doi.org/10.1016/j.plrev.2019.10.004

Vetere, G., Restivo, L., Novembre, G., Aceti, M., Lumaca, M. & Ammassari-Teule, M. (2011). Extinction partially reverts structural changes associated with remote fear memory. Learning & Memory (Online).

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. Article 20220316. https://doi.org/10.1098/rsbl.2022.0316

Verga, L., Kotz, S. A. & Ravignani, A. (2023). The evolution of social timing. Physics of Life Reviews, 46, 131-151. https://doi.org/10.1016/j.plrev.2023.06.006

Varlet, M., Nozaradan, S., Schmidt, R. C. & Keller, P. E. (2023). Neural tracking of visual periodic motion. European Journal of Neuroscience, 57(7), 1081-1097. https://doi.org/10.1111/ejn.15934

Varlet, M., Nozaradan, S. & Keller, P. E. (2025). Dynamic neural processing of self-other synchronization error in interpersonal coordination. iScience, 28(12), Article 114081. https://doi.org/10.1016/j.isci.2025.114081

Van Maldegem, M., Vohryzek, J., Atasoy, S., Alnagger, N., Cardone, P., Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Jaquet, O., Bahri, M. A., Nunez, P., Kringelbach, M. L., Stamatakis, E. A. & Luppi, A. I. (2025). Connectome harmonic decomposition tracks the presence of disconnected consciousness during ketamine-induced unresponsiveness. British Journal of Anaesthesia, 134(4), 1088-1104. https://doi.org/10.1016/j.bja.2024.12.036

van Hartevelt, T. J. & Kringelbach, M. L. (2015). The Olfactory Cortex. In A. W. Toga (Ed.), Brain Mapping (pp. 347-355). Academic Press. https://doi.org/10.1016/B978-0-12-397025-1.00235-9

van Hartevelt, T. J., Cabral, J., Møller, A., FitzGerald, J. J., Green, A. L., Aziz, T. Z., Deco, G. & Kringelbach, M. L. (2015). Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation. Frontiers in Behavioral Neuroscience, 9, 167. https://doi.org/10.3389/fnbeh.2015.00167

van Hartevelt, T. J., Fernandes, H., Stevner, A., Deco, G. & Kringelbach, M. L. (2017). Neural plasticity in human brain connectivity: the effects of deep brain stimulation. In The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain (pp. 527-546). elsevier. https://doi.org/10.1016/B978-0-12-803784-3.00025-1

van Hartevelt, T. J. (2014). Olfactory Functioning in Parkinson's Disease: The Effects of Deep Brain Stimulation.

van der Werff, J., Ravignani, A. & Jadoul, Y. (2024). thebeat: A Python package for working with rhythms and other temporal sequences. Behavior Research Methods, 56(4), 3725-3736. https://doi.org/10.3758/s13428-023-02334-8

van der Werff, J., Tufarelli, T., Verga, L. & Ravignani, A. (2025). Humans can find rhythm in randomly timed sounds. Royal Society Open Science, 12(8), Article 250453. https://doi.org/10.1098/rsos.250453

Valente, D. & Ravignani, A. (2025). Bioacoustics and rhythm. In The Oxford Handbook of Approaches to Language Evolution (pp. 539-552). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780192886491.013.27

Uribe, C., Escrichs, A., de Filippi, E., Sanz-Perl, Y., Junque, C., Gomez-Gil, E., Kringelbach, M. L., Guillamon, A. & Deco, G. (2022). Whole-brain dynamics differentiate among cisgender and transgender individuals. Human Brain Mapping, 43(13), 4103-4115. https://doi.org/10.1002/hbm.25905

Tyrer, A., Hoogervorst, K., Pando-Naude, V., Steenkjær, C. H., Nehrer, S. W., Firisz, D. & Allen, M. (2024). Neural Signatures of Predictive Processing under Central vs Peripheral Noradrenergic Blockade. Poster session presented at 30th Annual Meeting of the Organisation for Human Brain Mapping, Seoul, Korea, Republic of.

Tyrer, A., Ehmsen, J. F., Hoogervorst, K., Nikolova, N., Pando-Naude, V., Steenkjær, C. H., Courtin, A., Fardo, F., Hauser, T. U., Bavato, F. & Allen, M. (2025). Peripheral Beta-Blockade Differentially Enhances Cardiac and Respiratory Interoception. Abstract from 8th Annual Conference on Cognitive Computational Neuroscience, Amsterdam, Netherlands.

Tyrer, A., Ehmsen, J. F., Hoogervorst, K., Nikolova, N., Pando-Naude, V., Steenkjær, C. H., Courtin, A., Fardo, F., Hauser, T. U., Bavato, F. & Allen, M. (2025). Peripheral Beta-Blockade Differentially Enhances Cardiac and Respiratory Interoception. bioRxiv. https://doi.org/10.1101/2025.02.28.640776

Tuulari, J. J., Rajasilta, O., Cabral, J., Kringelbach, M. L., Karlsson, L. & Karlsson, H. (2024). Maternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network. Stress, 27(1), Article 2275207. https://doi.org/10.1080/10253890.2023.2275207

Turriziani, P., Campo, F. F., Bonaventura, R. E., Mangano, G. R. & Oliveri, M. (2024). Modulation of memory by prism adaptation in healthy subjects. Scientific Reports, 14(1), Article 25358. https://doi.org/10.1038/s41598-024-77027-z

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). Article 6952938 European Signal Processing Conference, EUSIPCO.

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, Article 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, Article 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.

Trusbak Haumann, N., Petersen, B., Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2023). Mismatch negativity as a marker of music perception in individual cochlear implant users: A spike density component analysis study. Clinical Neurophysiology, 148, 76-92. https://doi.org/10.1016/j.clinph.2023.01.015

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, Article 116191. https://doi.org/10.1016/j.neuroimage.2019.116191

Todd, N. P. M., Govender, S., Keller, P. E. & Colebatch, J. G. (2023). Electrophysiological activity from over the cerebellum and cerebrum during eye blink conditioning in human subjects. Physiological Reports, 11(6), Article e15642. https://doi.org/10.14814/phy2.15642

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2023). Extended source analysis of movement related potentials (MRPs) for self-paced hand and foot movements demonstrates opposing cerebral and cerebellar laterality: a preliminary study. Neuroscience Letters, 815, Article 137476. https://doi.org/10.1016/j.neulet.2023.137476

Todd, N. P. M., Govender, S., Keller, P. E. & Colebatch, J. G. (2024). Electrophysiological Activity from the Eye Muscles, Cerebellum and Cerebrum During Reflexive (Classical Pavlovian) Versus Voluntary (Ivanov-Smolensky) Eye-Blink Conditioning. Cerebellum, 23(3), 1086-1100. https://doi.org/10.1007/s12311-023-01613-6

Todd, N. P. M., Keller, P. E., Govender, S. & Colebatch, J. G. (2025). Electrophysiological Activity Associated with a Cross-Modal Anapaest Rhythm: Evidence for the Vestibular Syncopation Hypothesis. Timing & Time Perception, 13(2), 173-226. https://doi.org/10.1163/22134468-bja10108

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2025). Distinct movement related changes in EEG and ECeG power during finger and foot movement. Neuroscience Letters, 853, Article 138207. https://doi.org/10.1016/j.neulet.2025.138207

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.

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