Find

Center for Music in the Brain

Our publications

Sort by: Date | Author | Title

Quarto, T., Fasano, M. C., Taurisano, P., Fazio, L., Antonucci, L. A., Gelao, B., Romano, R., Mancini, M., Porcelli, A., Masellis, R., Pallesen, K. J., Bertolino, A., Blasi, G. & Brattico, E. (2017). Interaction between DRD2 variation and sound environment on mood and emotion-related brain activity. Neuroscience, 341, 9-17. https://doi.org/10.1016/j.neuroscience.2016.11.010

Nielsen, A. H., Horn, N. T., Derdau Sørensen, S., Mcgregor, W. & Wallentin, M. (2015). Intensive foreign language learning reveals effects on categorical perception of sibilant voicing after only 3 weeks. i-Perception, 6(6), 1-26.

Bonetti, L. & Costa, M. (2016). Intelligence and musical mode preference. Empirical Studies of the Arts, 34(2), 160-176. https://doi.org/10.1177/0276237416628907

Bonetti, L., Brattico, E., Vuust, P., Kliuchko, M. & Saarikallio, S. (2021). Intelligence and Music: Lower Intelligent Quotient Is Associated With Higher Use of Music for Experiencing Strong Sensations. Empirical Studies of the Arts, 39(2), 194-215. https://doi.org/10.1177/0276237420951414

Bonetti, L. & Costa, M. (2015). Intelligence and mode preference. In Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM)

Capouskova, K., Zamora-López, G., Kringelbach, M. L. & Deco, G. (2023). Integration and segregation manifolds in the brain ensure cognitive flexibility during tasks and rest. Human Brain Mapping, 44(18), 6349-6363. https://doi.org/10.1002/hbm.26511

Keller, P. E. (2023). Integrating theory and models of musical group interaction. Trends in Cognitive Sciences, 27(12), 1105-1106. https://doi.org/10.1016/j.tics.2023.07.008

Zamorano, A. M., Cifre, I., Montoya, P., Riquelme, I. & Kleber, B. (2017). Insula-based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI. Human Brain Mapping, 38(10), 4834-4849. https://doi.org/10.1002/hbm.23682

Lord, L.-D., Expert, P., Fernandes, H., Petri, G., Van Hartevelt, T., Vaccarino, F., Deco, G., Turkheimer, F. & Kringelbach, M. (2016). Insights into brain architectures from the homological scaffolds of functional connectivity networks. Frontiers in Systems Neuroscience, 10(85), Article 85. https://doi.org/10.3389/fnsys.2016.00085

Mazhari-Jensen, D. S., Jacobsen, S. L. & Jespersen, K. V. (2023). Inpatient stroke survivors with low gait functioning benefit from music interventions during cardiorespiratory exercise: A randomized cross-over trial. Nordic Journal of Music Therapy, 32(5), 462-481. https://doi.org/10.1080/08098131.2023.2190403

Löser, A. S., Dalla Bella, S., Keller, P. E., Villringer, A., Obrig, H. & Engel, A. (2024). Inhibitory control and working memory predict rhythm production abilities in patients with neurocognitive deficits. Neuropsychologia, 204, Article 109009. https://doi.org/10.1016/j.neuropsychologia.2024.109009

Basiński, K., Celma-Miralles, A., Quiroga-Martinez, D. R. & Vuust, P. (2025). Inharmonicity enhances brain signals of attentional capture and auditory stream segregation. Communications Biology, 8(1), Article 1584. https://doi.org/10.1038/s42003-025-08999-5

Agres, K., Abdallah, S. & Pearce, M. (2018). Information-theoretic properties of auditory sequences dynamically influence expectation and memory. Cognitive Science, 42(1), 43-76. https://doi.org/10.1111/cogs.12477

Kragness, H., Hansen, N. C., Vuust, P., Trainor, L. & Pearce, M. (2016). Information dynamics of boundary perception: Entropy in self-paced music listening. Paper presented at 14th International Conference on Music Perception and Cognition, San Francisco, United States.

Haumann, N. T., Vuust, P., Bertelsen, F. C. B. & Garza-Villarreal, E. A. (2018). Influence of Musical Enculturation on Brain Responses to Metric Deviants. Frontiers in Neuroscience, 12(APR), Article 218. https://doi.org/10.3389/fnins.2018.00218

Lenc, T., Peter, V., Hooper, C., Keller, P. E., Burnham, D. & Nozaradan, S. (2023). Infants show enhanced neural responses to musical meter frequencies beyond low-level features. Developmental Science, 26(5), Article e13353. https://doi.org/10.1111/desc.13353

Stewart, L. & Walsh, V. (2005). Infant learning: music and the baby brain. Current Biology, 15(21), R882-4. https://doi.org/10.1016/j.cub.2005.10.019

De Deckere, P. & Kleber, B. A. (Ed.) (2023). Inducing self-related Emotion Evaluation by Modulating the Speaking Voice during Brain Imaging. Paper presented at International Conference on Music Perception and Cognition - The Asia-Pacific Society for the Cognitive Sciences of Music, Tokyo, Japan.

De Deckere, P. & Kleber, B. A. (Ed.) (2023). Inducing self-related Emotion Evaluation by Modulating the Speaking Voice during Brain Imaging. Abstract from International Conference on Music Perception and Cognition - The Asia-Pacific Society for the Cognitive Sciences of Music, Tokyo, Japan.

De Deckere, P. (2023). Inducing self-related emotion evaluation by modulating the speaking voice during brain imaging. Poster session presented at International Conference on Music Perception and Cognition - The Asia-Pacific Society for the Cognitive Sciences of Music, Tokyo, Japan.

De Deckere, P. (2023). Inducing self-related emotion evaluation by modulating the speaking voice during brain imaging. Poster session presented at SysMus23 - 16th International Conference of Students of Systematic Musicology, Sheffield, United Kingdom.

De Deckere, P., Aucouturier, J.-J., Vuust, P. & Kleber, B. A. (2023). Inducing self-related emotion evaluation by modulating the speaking voice during brain imaging. Abstract from SysMus23 - 16th International Conference of Students of Systematic Musicology, Sheffield, United Kingdom.

Stupacher, J., Matarrelli, B., Cozzoli, D., Ventura, M., Montinaro, F., de Gennaro, L., Vuust, P. & Brattico, E. (2025). Individuals with substance use disorders experience an increased urge to move to complex music. Proceedings of the National Academy of Sciences of the United States of America, 122(20), Article e2502656122. https://doi.org/10.1073/pnas.2502656122

Liu, F., Jiang, C., Pfordresher, P. Q., Mantell, J. T., Xu, Y., Yang, Y. & Stewart, L. (2013). Individuals with congenital amusia imitate pitches more accurately in singing than in speaking: implications for music and language processing. Attention, Perception & Psychophysics, 75(8), 1783-98. https://doi.org/10.3758/s13414-013-0506-1

Müllensiefen, D., Fry, J., Jones, R., Jilka, S., Stewart, L. & Williamson, V. J. (2014). Individual differences predict patterns in spontaneous involuntary musical imagery. Music Perception, 31(4), 323-338. https://doi.org/10.1525/MP.2014.31.4.323

Scarratt, R. J., Dietz, M., Vuust, P., Kleber, B. & Jespersen, K. V. (2026). Individual differences in the effects of musical familiarity and musical features on brain activity during relaxation. Cognitive, Affective & Behavioral Neuroscience, 26(1), 155–173. https://doi.org/10.3758/s13415-025-01342-9

Jobst, B. M., Hindriks, R., Laufs, H., Tagliazucchi, E., Hahn, G., Ponce-Alvarez, A., Stevner, A. B. A., Kringelbach, M. L. & Deco, G. (2017). Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling. Scientific Reports, 7(1), 4634. Article 4634. https://doi.org/10.1038/s41598-017-04522-x

Jobst, B. M., Atasoy, S., Ponce-Alvarez, A., Sanjuán, A., Roseman, L., Kaelen, M., Carhart-Harris, R., Kringelbach, M. L. & Deco, G. (2021). Increased sensitivity to strong perturbations in a whole-brain model of LSD. NeuroImage, 230, Article 117809. https://doi.org/10.1016/j.neuroimage.2021.117809

Hove, M. J., Vuust, P. & Stupacher, J. (2019). Increased levels of bass in popular music recordings 1955-2016 and their relation to loudness. The Journal of the Acoustical Society of America, 145(4), 2247-2253. https://doi.org/10.1121/1.5097587

Alexander Kleber, B. (2019). Increased insula connectivity with speech motor regions in trained singers during resting-state. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Farinha, M., Amado, C., Morgado, P. & Cabral, J. (2022). Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task. Frontiers in Neuroscience, 16, Article 821179. https://doi.org/10.3389/fnins.2022.821179

Brownlee, WJ., Alves Da Mota, P., Prados, F., S Solanky, B., Riemer, F., Cardoso, M. J., Ourselin, S., Golay, X., Gandini Wheeler-Kingshott, CAM., Miller, DH. & Ciccarelli, O. (2016). Increased cortical and deep grey matter sodium concentration is associated with physical and cognitive disability in relapse-onset multiple sclerosis.. Abstract from 32nd ECTRIMS Congress, London, United Kingdom.

Kleber, B., Dale, C., Zamorano, A. M., Lotze, M., Luders, E. & Kurth, F. (2025). Increased Callosal Thickness in Early Trained Opera Singers. Brain Topography, 38(5), Article 56. https://doi.org/10.1007/s10548-025-01134-x

Quarto, T., Blasi, G., Pallesen, K. J., Bertolino, A. & Brattico, E. (2014). Implicit Processing of Visual Emotions Is Affected by Sound-Induced Affective States and Individual Affective Traits. PLoS One, 9(7), Article 103278. https://doi.org/10.1371/journal.pone.0103278

Brattico, E., Kliuchko, M., Tervaniemi, M. & Heinonen-Guzejev, M. (2015). Impaired auditory discrimination of sound quality in noise sensitive individuals. Abstract from Error Signals from the Brain, Leipzig, Germany.

Westphael, G., Gebauer, L., Mehlsen, M. Y., Winterdahl, M. & Zachariae, R. (2015). Impact of single dose intranasal oxytocin on recognition of core emotions and complex mental states in facial expressions: a systematic review and meta-analysis. Poster session presented at 10th Annual Psychiatry Research Day, Aarhus University Hospital, Denmark.

Zamorano, A. M., De Martino, E., Insausti-Delgado, A., Vuust, P., Flor, H. & Graven-Nielsen, T. (2024). Impact of Chronic Pain on Use-Dependent Plasticity: Corticomotor Excitability and Motor Representation in Musicians With and Without Pain. Brain Topography, 37(5), 874-880. https://doi.org/10.1007/s10548-023-01031-1

Steenstrup, K., Haumann, N. T., Kleber, B., Camarasa, C., Vuust, P. & Petersen, B. (2021). Imagine, Sing, Play- Combined Mental, Vocal and Physical Practice Improves Musical Performance. Frontiers in Psychology, 12, Article 757052. https://doi.org/10.3389/fpsyg.2021.757052

Istok, E., Brattico, E., Jacobsen, T., Ritter, A. & Tervaniemi, M. (2013). 'I love Rock 'n' Roll' - Music genre preference modulates brain responses to music. Biological Psychology, 92(2), 142-151. https://doi.org/10.1016/j.biopsycho.2012.11.005

Tiihonen, M., Jacobsen, T., Trusbak Haumann, N., Saarikallio, S. & Brattico, E. (2022). I know what i like when i see it: Likability is distinct from pleasantness since early stages of multimodal emotion evaluation. PLoS One, 17(9), Article e0274556. https://doi.org/10.1371/journal.pone.0274556

Hansen, N. C., Vuust, P. & Pearce, M. (2016). "If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music. PLoS One, 11(10), 1-20. Article e0163584. https://doi.org/10.1371/journal.pone.0163584

Sabharwal, S. R., Varlet, M., Breaden, M., Volpe, G., Camurri, A. & Keller, P. E. (2022). huSync - A model and system for the measure of synchronization in small groups: A case study on musical joint action. IEEE Access, 10, 92357-92372. https://doi.org/10.1109/ACCESS.2022.3202959

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

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

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031

Carlomagno, F., Bruzzone, S. E. P., Bonetti, L. & Brattico, E. (2025). How To Keep a Brain Plastic with Music: A Mini-Review of Neurophysiological Findings on Music and Ageing. Ageing International, 50(4), Article 51. https://doi.org/10.1007/s12126-025-09633-9

Bettinardi, R. G., Deco, G., Karlaftis, V. M., Van Hartevelt, T. J., Fernandes, H. M., Kourtzi, Z., Kringelbach, M. L. & Zamora-López, G. (2017). How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure. Chaos, 27(4), 047409. https://doi.org/10.1063/1.4980099

Sørensen, S. D. (2020). How musical are children? A nationwide cross-sectional study of individual differences in musical competence and working memory in Danish school children. [PhD dissertation, Aarhus University].

Williamson, V. J., Jilka, S. R., Fry, J., Finkel, S., Muellensiefen, D. & Stewart, L. (2012). How do "earworms" start? Classifying the everyday circumstances of Involuntary Musical Imagery. Psychology of Music, 40(3), 259-284. https://doi.org/10.1177/0305735611418553

Lippolis, M., Derdau Sørensen, S., Petersen, B., Vuust, P. & Brattico, E. (2025). How Culture and Musical Engagement Shape Musical Reward Sensitivity in Danish Teens: A Validation Study of the Danish Barcelona Musical Reward Questionnaire With 4641 Adolescents. Scandinavian Journal of Psychology, 66(2), 190-209. https://doi.org/10.1111/sjop.13074

Displaying results 551 to 600 out of 975

12

Revised 20.09.2024

-

Hella Kastbjerg