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Maldarelli, G., Dissegna, A., Ravignani, A. & Chiandetti, C. (2024). Chicks produce consonant, sometimes jazzy, sounds. Biology Letters, 20(9), Article 20240374. https://doi.org/10.1098/rsbl.2024.0374

Fjaeldstad, A. W. & Fernandes, H. M. (2020). Chemosensory Sensitivity after Coffee Consumption Is Not Static: Short-Term Effects on Gustatory and Olfactory Sensitivity. Foods, 9(4), Article 493. https://doi.org/10.3390/foods9040493

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG – and now MEG.. Poster session presented at MEG Nord, Jyväskylä, Finland.

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG & MEG.. Poster session presented at The Predictive Brain Conference, Marseille, France.

Stewart, L. (2011). Characterizing congenital amusia. Quarterly Journal of Experimental Psychology, 64(4), 625-38. https://doi.org/10.1080/17470218.2011.552730

Hersh, T. A., Ravignani, A. & Whitehead, H. (2024). Cetaceans are the next frontier for vocal rhythm research. Proceedings of the National Academy of Sciences of the United States of America, 121(25), e2313093121. Article e2313093121. https://doi.org/10.1073/pnas.2313093121

Galadí, J. A., Silva Pereira, S., Sanz Perl, Y., Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A. & Deco, G. (2021). Capturing the non-stationarity of whole-brain dynamics underlying human brain states. NeuroImage, 244, Article 118551. https://doi.org/10.1016/j.neuroimage.2021.118551

Grube, M., Brandl, S., Kindermans, P.-J., Blankertz, B., Daehne, S. & Mueller, K.-R. (2018). Can we “find the beat”? Searching the beta band in the human EEG as a function of acoustic rhythmic regularity and in correlation with behaviour.. 1. Poster session presented at 11th FENS Forum of Neuroscience, Berlin, Germany.

Fiveash, A., Ferreri, L., Bouwer, F. L., Kösem, A., Moghimi, S., Ravignani, A., Keller, P. E. & Tillmann, B. (2023). Can rhythm-mediated reward boost learning, memory, and social connection? Perspectives for future research. Neuroscience and Biobehavioral Reviews, 149, Article 105153. https://doi.org/10.1016/j.neubiorev.2023.105153

Bodak, R., Stewart, L., Stephan, M., Witek, M., Penhune, V. & Vuust, P. (2015). Can listening to sound sequences facilitate movement? The potential for motor rehabilitation. Abstract from Music Therapy Advances in Neuro-disability II , London, United Kingdom.

Wang, Q. J., Barbosa Escobar, F., Mathiesen, S. L. & Alves da Mota, P. (2021). Can Eating Make Us More Creative? A Multisensory Perspective. Foods, 10(2), Article 469. https://doi.org/10.3390/foods10020469

Bodak, R., Mazhari-Jensen, D., Evald, L., Figlewski, K., Malhotra, P., Vuust, P. & Stewart, L. (2015). Can active music-making ameliorate neglect? An assessor-blind, within-subject, controlled clinical trial. Poster session presented at Examining the utility of music interventions in neurological disorders of older people, London, Denmark.

Kringelbach, M. L., Vuust, P. & Deco, G. (2024). Building a science of human pleasure, meaning making, and flourishing. Neuron, 112(9), 1392-1396. https://doi.org/10.1016/j.neuron.2024.03.022

Nartallo-Kaluarachchi, R., Asllani, M., Deco, G., Kringelbach, M. L., Goriely, A. & Lambiotte, R. (2024). Broken detailed balance and entropy production in directed networks. Physical Review E, 110(3), Article 034313. https://doi.org/10.1103/PhysRevE.110.034313

Bonetti, L., Fernández-Rubio, G., Andersen, M. H., Malvaso, C., Carlomagno, F., Testa, C., Vuust, P., Kringelbach, M. L. & Rosso, M. (2025). BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks. Advanced Science, 12(44), Article e07878. https://doi.org/10.1002/advs.202507878

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), Article 022. https://doi.org/10.1093/sleep/zsy022

Jancke, D., Herlitze, S., Kringelbach, M. L. & Deco, G. (2022). Bridging the gap between single receptor type activity and whole-brain dynamics. FEBS journal, 289(8), 2067-2084. https://doi.org/10.1111/febs.15855

Padilla, N., Saenger, V. M., van Hartevelt, T. J., Fernandes, H. M., Lennartsson, F., Andersson, J. L. R., Kringelbach, M., Deco, G. & Åden, U. (2020). Breakdown of Whole-brain Dynamics in Preterm-born Children. Cerebral Cortex, 30(3), 1159-1170. https://doi.org/10.1093/cercor/bhz156

Brattico, E. & Vuust, P. (2017). Brain-to-brain coupling and culture as prerequisites for musical interaction. In M. LeSaffre, M. Leman & P.-J. Maes (Eds.), The Routledge Companion to Embodied Music Interaction (pp. 249-257). Routledge.

Kringelbach, M. L. & Deco, G. (2020). Brain States and Transitions: Insights from Computational Neuroscience. Cell Reports, 32(10), Article 108128. https://doi.org/10.1016/j.celrep.2020.108128

Bonetti, L. (2020). Brain spatiotemporal dynamics of auditory patterns encoding and recognition. [PhD dissertation, Aarhus University].

Deco, G., Cruzat, J. & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10, Article 583. https://doi.org/10.1038/s41467-018-08186-7

Petersen, B., Weed, E., Sandmann, P., Brattico, E., Hansen, M., Sørensen, S. D. & Vuust, P. (2015). Brain responses to musical feature changes in adolescent cochlear implant users. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2015.00007

Petersen, B., Weed, E., Hansen, M., Sørensen, S. D., Sandmann, P. & Vuust, P. (2013). Brain Responses to Language-relevant Musical Features in Adolescent Cochlear Implant Users Before and After an Intensive Music Training Program. Poster session presented at SNL 2013, San Diego, United States.

Petersen, B., Weed, E., Hansen, M., Sørensen, S. D., Sandmann, P. & Vuust, P. (2014). Brain responses to language-relevant musical features in adolescent cochlear implant users before and after an intensive music training program. Abstract from 13th International Conference on Cochlear Implants and Other Implantable Auditory Technologies, München, Germany.

Bonetti, L., Brattico, E., Bruzzone, S. E. P., Donati, G., Deco, G., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2023). Brain recognition of previously learned versus novel temporal sequences: A differential simultaneous processing. Cerebral Cortex, 33(9), 5524–5537. https://doi.org/10.1093/cercor/bhac439

Bonetti, L., Bruzzone, S. E. P., Sedghi, N. A., Haumann, N. T., Paunio, T., Kantojärvi, K., Kliuchko, M., Vuust, P. & Brattico, E. (2021). Brain predictive coding processes are associated to COMT gene Val158Met polymorphism. NeuroImage, 233, Article 117954. https://doi.org/10.1016/j.neuroimage.2021.117954

Harry, B. B., Margulies, D. S., Falkiewicz, M. & Keller, P. E. (2023). Brain networks for temporal adaptation, anticipation, and sensory-motor integration in rhythmic human behavior. Neuropsychologia, 183, Article 108524. https://doi.org/10.1016/j.neuropsychologia.2023.108524

Segal, A., Charquero-Ballester, M., Vaisvasser, S., Cabral, J., Ben-Zion, Z., Vidaurre, D., Stark, E., McManners, H., Woolrich, M., Ehlers, A., Bar-Haim, Y., Hendler, T. & Kringelbach, M. L. (2025). Brain network dynamics following induced acute stress: A neural marker of psychological vulnerability to real-life chronic stress. Psychological Medicine, 55, Article e187. https://doi.org/10.1017/S0033291725100913

Cohen, A. J., Levitin, D. & Alexander Kleber, B. (2020). Brain mechanisms underlying singing. In F. A. Russo, B. Ilari & A. J. Cohen (Eds.), The Routledge Companion to Interdisciplinary Studies in Singing, Volume I: Development (pp. 79-96). Routledge.

Fjældstad, A., Fernandes, H., van Hartevelt, T. J., Gleesborg, C., Møller, A., Ovesen, T. & Kringelbach, M. L. (2017). Brain fingerprints of olfaction: a novel structural method for assessing olfactory cortical networks in health and disease. Scientific Reports, 7(7), Article 42534. https://doi.org/10.1038/srep42534

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Brain Connectivity Networks and the Aesthetic Experience of Music. Brain Sciences, 8(6), Article 107. https://doi.org/10.3390/brainsci8060107

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

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.

Hansen, N. C. (2016). Born and made: Musical experts are no geniuses. In Australian Music & Psychology Society Newsletter (Vol. 4, pp. 4-5). Australian Music & Psychology Society (AMPS). https://lookaside.fbsbx.com/file/AMPS%20newsletter%20edition%204.pdf?token=AWxsuJvWln5KE4PasMr2Y7g9h3ffBqEckwbQT2c8yFfMtBNpS0EwfYQZzqZTCYPW-r_7MWWvT5VEtWrAYq16-gzhs97PluCEzaFgkh1T0DDrbMl-dI34VJDCDJkNLMxuxvGadWiVC_Iu4BAQTRR7GBpH5yoNPN3fMab3uBGaEm7O-A

Witek, M. A. G., Matthews, T. E., Bechtold, T. A. & Penhune, V. (2025). Body maps of the sensation of musical groove. PNAS Nexus, 4(10), Article pgaf306. https://doi.org/10.1093/pnasnexus/pgaf306

Moguilner, S., Herzog, R., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C., Kringelbach, M., Deco, G., Ibáñez, A. & Tagliazucchi, E. (2024). Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition. Alzheimer's Research & Therapy, 16(1), Article 79. https://doi.org/10.1186/s13195-024-01449-0

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

Manriquez P, R., Kotz, S. A., Ravignani, A. & de Boer, B. (2024). Bioacoustic classification of a small dataset of mammalian vocalisations using deep learning. Bioacoustics, 33(4), 354-371. https://doi.org/10.1080/09524622.2024.2354468

Seeberg, A. B., Matthews, T., Højlund, A., Petersen, B. & Vuust, P. (2023). Beyond syncopation: the importance of rhythmic streams for the experience of groove. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.

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

Sadaphal, D. P., Blum, C. R., Keller, P. E. & Fitch, W. T. (2025). Beyond perfect synchrony: shared interpersonal rhythmic timing enhances self-other merging judgements. Royal Society Open Science, 12(3), Article 241501. https://doi.org/10.1098/rsos.241501

Petersen, B. (2013). Behavioral and Neurological Responses to Musical Features in Adolescent Cochlear Implant Users Before and After an Intensive Musical Training Program. Poster session presented at The Neurosciences and Music - V, Dijon, France.

Jespersen, K. V., Madsen, J. & Vuust, P. (2020). Bedtime Music for Sleep Problems in older Adults with Dementia: a pilot feasibility Study. Music and Medicine, 12(4), 222-230. https://doi.org/10.47513/mmd.v12i4.765

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.

Dai, R., Toiviainen, P., Vuust, P., Jacobsen, T. & Brattico, E. (2025). Beauty Is in the Brain Networks of the Beholder: An Exploratory Functional Magnetic Resonance Imaging Study. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000681

Brattico, E., Brusa, A., Dietz, M., Jacobsen, T., Fernandes, H. M., Gaggero, G., Toiviainen, P., Vuust, P. & Proverbio, A. M. (2025). Beauty and the brain – Investigating the neural and musical attributes of beauty during naturalistic music listening. Neuroscience, 567, 308-325. https://doi.org/10.1016/j.neuroscience.2024.12.008

Stupacher, J., Møller, C., Celma-Miralles, A. & Vuust, P. (2026). Beat perception in polyrhythms is influenced by spontaneous motor tempo, musicianship, and played musical style. Psychology of Music, 54(2), 215-234. https://doi.org/10.1177/03057356241311581

Møller, C., Stupacher, J., Celma-Miralles, A. & Vuust, P. (2021). Beat perception in polyrhythms: Time is structured in binary units. PLoS One, 16(8 ), Article e0252174. https://doi.org/10.1371/journal.pone.0252174

Møller, C., Stupacher, J., Celma-Miralles, A. & Vuust, P. (2021). Beat perception in polyrhythms: Units of time come in pairs. Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

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Revised 20.09.2024

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