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Center for Music in the Brain

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Matthews, T. E., Lumaca, M., Witek, M. A. G., Penhune, V. B. & Vuust, P. (2024). Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians. Brain Structure and Function, 229(9), 2299-2313. https://doi.org/10.1007/s00429-024-02836-x

Szakács, H., Mutlu, M. C., Balestrieri, G., Gombos, F., Braun, J., Kringelbach, M. L., Deco, G. & Kovács, I. (2024). Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization. Advanced Science, 11(21), Article 2308364. https://doi.org/10.1002/advs.202308364

Bianco, R., Zuk, N. J., Bigand, F., Quarta, E., Grasso, S., Arnese, F., Ravignani, A., Battaglia-Mayer, A. & Novembre, G. (2024). Neural encoding of musical expectations in a non-human primate. Current Biology, 34(2), 444-450.e5. https://doi.org/10.1016/j.cub.2023.12.019

Rubio, G. F. (2024). Neurophysiological and neuropsychological bases of auditory memory. [PhD thesis, Aarhus University].

Colafiglio, T., Lombardi, A., Sorino, P., Brattico, E., Lofu, D., Danese, D., Di Sciascio, E., Di Noia, T. & Narducci, F. (2024). NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. IEEE Access, 12, 159296-159315. https://doi.org/10.1109/ACCESS.2024.3487932

Bihari, A., Nárai, Á., Kleber, B., Zsuga, J., Hermann, P. & Vidnyánszky, Z. (2024). Operatic voices engage the default mode network in professional opera singers. Scientific Reports, 14(1), Article 21313. https://doi.org/10.1038/s41598-024-71458-4

Luppi, A. I., Rosas, F. E., Noonan, M. A. P., Mediano, P. A. M., Kringelbach, M. L., Carhart-Harris, R. L., Stamatakis, E. A., Vernon, A. C. & Turkheimer, F. E. (2024). Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution. Neuroscientist, 30(2), 173-198. https://doi.org/10.1177/10738584221138032

Clemente, A., Kaplan, T. M. & Pearce, M. T. (2024). Perceptual representations mediate effects of stimulus properties on liking for music. Annals of the New York Academy of Sciences, 1533(1), 169-180. https://doi.org/10.1111/nyas.15106

Kringelbach, M. L. & Deco, G. (2024). Prefrontal cortex drives the flexibility of whole-brain orchestration of cognition. Current Opinion in Behavioral Sciences, 57, Article 101394. https://doi.org/10.1016/j.cobeha.2024.101394

Jerotic, K., Vuust, P. & Kringelbach, M. L. (2024). Psychedelia: The interplay of music and psychedelics. Annals of the New York Academy of Sciences, 1531(1), 12-28. https://doi.org/10.1111/nyas.15082

Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Perl, Y. S., Kringelbach, M. L., Laureys, S. & Deco, G. (2024). Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. PLOS Computational Biology, 20(5), Article e1011350. https://doi.org/10.1371/journal.pcbi.1011350

Govender, S., Hochstrasser, D., Todd, N. P. M., Keller, P. E. & Colebatch, J. G. (2024). Responses to brief perturbations of stance: EMG, midline cortical, and subcortical changes. Journal of Neurophysiology, 132(3), 1014-1024. https://doi.org/10.1152/jn.00252.2024

Pando Naude, V. M., Jespersen, K. V., Johnsen, E. L. & Vuust, P. (2024). Rhythmic auditory stimulation for motor rehabilitation in Parkinson’s disease. Cochrane Database of Systematic Reviews, 2024(2), Article CD015759. https://doi.org/10.1002/14651858.CD015759

Møller, C., Zamm, A. & Engler, B. (2024). Slower spontaneous rates are linked to better performance in pitch discrimination tasks. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

Bonetti, L., Fernández-Rubio, G., Carlomagno, F., Dietz, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding. Nature Communications, 15(1), Article 4313. https://doi.org/10.1038/s41467-024-48302-4

Bonetti, L., Brattico, E., Carlomagno, F., Cabral, J., Stevner, A., Deco, G., Whybrow, P. C., Pearce, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal whole-brain activity and functional connectivity of melodies recognition. Cerebral Cortex, 34(8), Article e320. https://doi.org/10.1093/cercor/bhae320

Engler, B., Zamm, A. & Møller, C. (2024). Spontaneous rates are consistent across domains of behavior involving different biomechanical constraints and cognitive demands.

Engler, B., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. PsyArXiv. https://doi.org/10.31234/osf.io/wtnax

Engler, B. H., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. Scientific Reports, 14(1), Article 14876. https://doi.org/10.1038/s41598-024-65788-6

Donaire, A., Padilla, N., Escrichs, A., Khawja, M., Setoain, X., Rumia, J., Roldan, P., Bargallo, N., Boget, T., Pintor, L., Centeno, M., Conde, E., Vernet, O., Buendía, J., Manzanares, I., Ådén, U., Carreño, M., Kringelbach, M. & Deco, G. (2024). Subject-based assessment of large-scale integration dynamics in epileptic brain networks: insights from the intrinsic ignition framework. Cerebral cortex (New York, N.Y. : 1991), 34(10), Article bhae419. https://doi.org/10.1093/cercor/bhae419

Shinozuka, K., Jerotic, K., Mediano, P., Zhao, A. T., Preller, K. H., Carhart-Harris, R. & Kringelbach, M. L. (2024). Synergistic, multi-level understanding of psychedelics: three systematic reviews and meta-analyses of their pharmacology, neuroimaging and phenomenology. Translational Psychiatry, 14(1), Article 485. https://doi.org/10.1038/s41398-024-03187-1

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

Engler, B., Zamm, A. & Møller, C. (2024). The complex dynamics of spontaneous rates in musicians and non-musicians: Intra-individual stability and inter-individual differences. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

Møller, C., Hansen, N. C., Vuust, P. & Müllensiefen, D. (2024). The Danish Goldsmiths Musical Sophistication Index: Validation in Samples with Different Degrees of Representativeness. Music & Science, 7, 1-12. https://doi.org/10.1177/20592043241289087

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

Tiihonen, M., Haumann, N. T., Shtyrov, Y., Vuust, P., Jacobsen, T. & Brattico, E. (2024). The impact of crossmodal predictions on the neural processing of aesthetic stimuli. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220418. https://doi.org/10.1098/rstb.2022.0418

De Deckere, P., Matthews, T., Pando Naude, V. M. & Vuust, P. (2024). The role of dopamine in the pleasurable urge to move to music, rhythm perception and production. Abstract from Phd Day 2024, Aarhus, Denmark.

Kringelbach, M. L., Sanz Perl, Y. & Deco, G. (2024). The Thermodynamics of Mind. Trends in Cognitive Sciences, 28(6), 568-581. https://doi.org/10.1016/j.tics.2024.03.009

Hamilton, M. & Pearce, M. (2024). Trajectories and revolutions in popular melody based on U.S. charts from 1950 to 2023. Scientific Reports, 14(1), Article 14749. https://doi.org/10.1038/s41598-024-64571-x

Heng, J. G., Zhang, J., Bonetti, L., Lim, W. P. H., Vuust, P., Agres, K. & Chen, S. H. A. (2024). Understanding music and aging through the lens of Bayesian inference. Neuroscience and Biobehavioral Reviews, 163, Article 105768. https://doi.org/10.1016/j.neubiorev.2024.105768

Zamorano, A. M., Kleber, B., Arguissain, F., Vuust, P., Flor, H. & Graven-Nielsen, T. (2024). Un entraînement sensori-moteur intensif améliore les réponses corticales nociceptives chez les personnes en bonne santé. Douleur et Analgesie, 37(4), 228-248. https://doi.org/10.1684/dea.2024.0305

Goncharova, M., Jadoul, Y., Reichmuth, C., Fitch, W. T. & Ravignani, A. (2024). Vocal tract dynamics shape the formant structure of conditioned vocalizations in a harbor seal. Annals of the New York Academy of Sciences, 1538(1), 107-116. https://doi.org/10.1111/nyas.15189

Duengen, D., Jadoul, Y. & Ravignani, A. (2024). Vocal usage learning and vocal comprehension learning in harbor seals. BMC Neuroscience, 25, Article 48. https://doi.org/10.1186/s12868-024-00899-4

Mårup, S. H., Kleber, B. A., Møller, C. & Vuust, P. (2024). When direction matters: Neural correlates of interlimb coordination of rhythm and beat. Cortex, 172, 86-108. https://doi.org/10.1016/j.cortex.2023.11.019

Patow, G., Martin, I., Sanz Perl, Y., Kringelbach, M. L. & Deco, G. (2024). Whole-brain modelling: an essential tool for understanding brain dynamics. Nature Reviews Methods Primers, 4, Article 53. https://doi.org/10.1038/s43586-024-00336-0

Mindlin, I., Herzog, R., Belloli, L., Manasova, D., Monge-Asensio, M., Vohryzek, J., Escrichs, A., Alnagger, N., Núñez, P., Gosseries, O., Kringelbach, M. L., Deco, G., Tagliazucchi, E., Naccache, L., Rohaut, B., Sitt, J. D. & Sanz Perl, Y. (2024). Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness. Communications Biology, 7(1), Article 1176. https://doi.org/10.1038/s42003-024-06852-9

Leonetti, S., Cimarelli, G., Hersh, T. A. & Ravignani, A. (2024). Why do dogs wag their tails? Biology Letters, 20(1), Article 20230407. https://doi.org/10.1098/rsbl.2023.0407

Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K., Brattico, E., Vuust, P. & Petersen, B. (2023). Adapting to the Sound of Music - Development of Music Discrimination Skills in Recently Implanted CI Users. Trends in Hearing, 27. https://doi.org/10.1177/23312165221148035

Foster Vander Elst, O., Foster, N. H. D., Vuust, P., Kringelbach, M. L. & Keller, P. (2023). A Framework for Dance Research. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.

Haumann, N. T., Petersen, B., Vuust, P. & Brattico, E. (2023). Age differences in central auditory system responses to naturalistic music. Biological Psychology, 179, Article 108566. https://doi.org/10.1016/j.biopsycho.2023.108566

Hoegholt, N. F., Bonetti, L., Stevner, A. B. A., Andersen, C. E., Fernandes, H. M., Vuust, P. & Kringelbach, M. L. (2023). A magnetoencephalography study of first-time mothers listening to infant cries. Cerebral Cortex, 33(10), 5896–5905. https://doi.org/10.1093/cercor/bhac469

Pando-Naude, V., Matthews, T., Højlund, A., Johnsen, E., Garza Villarreal, E., Witek, M., Heggli, O., Kleber, B., Penhune, V. & Vuust, P. (2023). An fMRI study on the groove experience in Parkinson's disease. Paper presented at Interntational Conference of Music Perception and Cognition ICMPC17-APSCOM, Tokyo, Japan. https://doi.org/10.13140/RG.2.2.23884.18561

Spinosa, V., Vitulli, A., Logroscino, G. & Brattico, E. (2023). A Review on Music Interventions for Frontotemporal Aphasia and a Proposal for Alternative Treatments. Biomedicines, 11(1), Article 84. https://doi.org/10.3390/biomedicines11010084

Hoy, C. W., Quiroga-Martinez, D. R., Sandoval, E., King-Stephens, D., Laxer, K. D., Weber, P., Lin, J. J. & Knight, R. T. (2023). Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex. Nature Communications, 14(1), Article 8520. https://doi.org/10.1038/s41467-023-44248-1

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.

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

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

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

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

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

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