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Center for Music in the Brain

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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. Advance online publication. https://doi.org/10.1016/j.bja.2024.12.036

Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G. & Carhart-Harris, R. L. (2017). Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD. Scientific Reports, 7(1), Article 17661. https://doi.org/10.1038/s41598-017-17546-0

Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Connectivity patterns during music listening: Evidence for action-based processing in musicians. Human Brain Mapping, 38(6), 2955. https://doi.org/10.1002/hbm.23565

Williamson, V. J. & Stewart, L. (2013). Congenital amusia. Handbook of Clinical Neurology, 111, 237-9. https://doi.org/10.1016/B978-0-444-52891-9.00024-5

Stewart, L. (2006). Congenital amusia. Current Biology, 16(21), R904-6. https://doi.org/10.1016/j.cub.2006.09.054

Stewart, L. & Walsh, V. (2002). Congenital amusia: all the songs sound the same. Current Biology, 12(12), R420-1.

Garza-Villarreal, E. A., Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J., Chakravarty, M., Devenyi, G. A. & Vuust, P. (2017). Conectividad cortical de V1 y giro de Heschl y su relación con la modulación visuo-auditiva en músicos y no-músicos.. Poster session presented at XXXI Reunión Anual de Investigación del Instituto Nacional de Psiquiatría, Mexico City, Mexico, Mexico City, Mexico.

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (2022). Conclusion: A beam of light to conclude with. In T. Chemi, E. Brattico, L. O. Fjorback & L. Harma (Eds.), Arts and Mindfulness Education for Human Flourishing (pp. 285-287). Taylor & Francis. https://doi.org/10.4324/9781003158790-21

Luppi, A. I., Cabral, J., Cofre, R., Mediano, P. A. M., Rosas, F. E., Qureshi, A. Y., Kuceyeski, A., Tagliazucchi, E., Raimondo, F., Deco, G., Shine, J. M., Kringelbach, M. L., Orio, P., Ching, S. N., Sanz Perl, Y., Diringer, M. N., Stevens, R. D. & Sitt, J. D. (2023). Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 275, Article 120162. https://doi.org/10.1016/j.neuroimage.2023.120162

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

Haumann, N. T., Parkkonen, L., Kliuchko, M., Vuust, P. & Brattico, E. (2016). Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study. Computational Intelligence and Neuroscience, 2016, 1-10. Article 7489108. https://doi.org/10.1155/2016/7489108

Mencke, I., Seibert, C., Brattico, E. & Wald-Fuhrmann, M. (2023). Comparing the aesthetic experience of classic–romantic and contemporary classical music: An interview study. Psychology of Music, 51(1), 274-294. https://doi.org/10.1177/03057356221091312

Atasoy, S., Vohryzek, J., Deco, G., Carhart-Harris, R. L. & Kringelbach, M. L. (2018). Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition. In T. Calvey (Ed.), PSYCHEDELIC NEUROSCIENCE (pp. 97-120). Elsevier. https://doi.org/10.1016/bs.pbr.2018.08.009

Hansen, N. C., Dietz, M. & Vuust, P. (2017). Commentary: Predictions and the brain: how musical sounds become rewarding. Frontiers in Human Neuroscience, 11, Article 168. https://doi.org/10.3389/fnhum.2017.00168

Brattico, E. (2017). Commentary on" Aesthetic Experience Explained by the Affect-Space Framework" by E. Schubert, AC North & DJ Hargreaves. Empirical Musicology Reviews, 11(3-4), 350-353. https://doi.org/10.18061/emr.v11i3-4.5572

Brattico, E., Jacobsen, T., De Baene, W., Glerean, E. & Tervaniemi, M. (2010). Cognitive vs. affective listening modes and judgments of music - An ERP study. Biological Psychology, 85(3), 393-409. https://doi.org/10.1016/j.biopsycho.2010.08.014

Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N. & Kringelbach, M. L. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports, 7(1), 5135. Article 5135. https://doi.org/10.1038/s41598-017-05425-7

Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., Koivisto, J., Gjedde, A. & Carlson, S. (2010). Cognitive control in auditory working memory is enhanced in musicians. P L o S One, 5(6), Article 11120. https://doi.org/10.1371/journal.pone.0011120

Cheung, V. K. M., Harrison, P. M. C., Koelsch, S., Pearce, M. T., Friederici, A. D. & Meyer, L. (2024). Cognitive and sensory expectations independently shape musical expectancy and pleasure. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220420. https://doi.org/10.1098/rstb.2022.0420

Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Liu, C., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Clustering consistency in neuroimaging data analysis. In IEEE Proceedings of 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2015 (pp. 1118-1122). IEEE.

Petersen, B. (2017). Clinical applocations of music: The Sound of (Silence) Music. In Center for Music in the Brain : Annual Report 2016 (pp. 39-43) https://musicinthebrain.au.dk/fileadmin/user_upload/MIB_annual_report_for_web.pdf

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

Moisseinen, N., Ahveninen, L., Martínez-Molina, N., Sairanen, V., Melkas, S., Kleber, B., Sihvonen, A. J. & Särkämö, T. (2024). Choir singing is associated with enhanced structural connectivity across the adult lifespan. Human Brain Mapping, 45(7), Article e26705. https://doi.org/10.1002/hbm.26705

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

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

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

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Hella Kastbjerg