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Center for Music in the Brain

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Costa, M., Bonetti, L., Belelli, M., Lantieri, C., Vignali, V. & Simone, A. (2016). Reflective tape applied to bicycle frame and conspicuity enhancement at night. Human Factors, 485.

Costa, M., Bonetti, L., VIgnali, V., Lantieri, C. & Simone, A. (2018). The role of peripheral vision in vertical road sign identification and discrimination. Ergonomics, 61(12), 1619-1634. https://doi.org/10.1080/00140139.2018.1508756

Corcoran, C., Stupacher, J. & Vuust, P. (2022). Swinging the Score? Swing Phrasing Cannot Be Communicated via Explicit Notation Instructions Alone. Music Perception, 39(4), 386-400. https://doi.org/10.1525/MP.2022.39.4.386

Cong, F., Puolivali, T., Alluri, V., Sipola, T., Burunat, I., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2014). Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis. Journal of Neuroscience Methods, 223, 74-84. https://doi.org/10.1016/j.jneumeth.2013.11.025

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

Coelho, A., Magalhães, R., Moreira, P. S., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C., Sousa, N. & Fernandes, H. M. (2022). A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort. Human Brain Mapping, 43(8), 2419-2443. https://doi.org/10.1002/hbm.25773

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Reorganization of brain structural networks in aging: A longitudinal study. Journal of Neuroscience Research, 99(5), 1354-1376. https://doi.org/10.1002/jnr.24795

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Signatures of white-matter microstructure degradation during aging and its association with cognitive status. Scientific Reports, 11(1), Article 4517. https://doi.org/10.1038/s41598-021-83983-7

Clemente, A., Vila-Vidal, M., Pearce, M. T., Aguiló, G., Corradi, G. & Nadal, M. (2020). A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments. Behavior Research Methods, 52(4), 1491-1509. https://doi.org/10.3758/s13428-019-01329-8

Clemente, A., Pearce, M. T., Skov, M. & Nadal, M. (2021). Evaluative judgment across domains: Liking balance, contour, symmetry and complexity in melodies and visual designs. Brain and Cognition, 151, Article 105729. https://doi.org/10.1016/j.bandc.2021.105729

Clemente, A., Pearce, M. T. & Nadal, M. (2022). Musical Aesthetic Sensitivity. Psychology of Aesthetics, Creativity, and the Arts, 16(1), 58-73. https://doi.org/10.1037/aca0000381

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

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

Cheung, V. K. M., Harrison, P. M. C., Meyer, L., Pearce, M. T., Haynes, J. D. & Koelsch, S. (2019). Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity. Current Biology, 29(23), 4084-4092.e4. https://doi.org/10.1016/j.cub.2019.09.067

Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D. & Stewart, L. (2015). Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology, 6, 9. https://doi.org/10.3389/fpsyg.2015.00009

Charquero-Ballester, M., Kleim, B., Vidaurre, D., Ruff, C., Stark, E., Tuulari, J. J., McManners, H., Bar-Haim, Y., Bouquillon, L., Moseley, A., Williams, S. C. R., Woolrich, M. W., Kringelbach, M. L. & Ehlers, A. (2022). Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks. Human Brain Mapping, 43(10), 3207-3220. https://doi.org/10.1002/hbm.25846

Celma-Miralles, A., Seeberg, A. B., Haumann, N. T., Vuust, P. & Petersen, B. (2024). Experience with the cochlear implant enhances the neural tracking of spectrotemporal patterns in the Alberti bass. Hearing Research, 452, Article 109105. https://doi.org/10.1016/j.heares.2024.109105

Celma-Miralles, A. & Toro, J. M. (2020). Non-human animals detect the rhythmic structure of a familiar tune. Psychonomic Bulletin and Review, 27(4), 694-699. https://doi.org/10.3758/s13423-020-01739-2

Carraturo, G., Ferreri, L., Vuust, P., Matera, F. & Brattico, E. (2022). Empathy but not musicality is at the root of musical reward: A behavioral study with adults and children. Psychology of Music, 50(6), 2001-2020. https://doi.org/10.1177/03057356221081168

Carraturo, G., Kliuchko, M. & Brattico, E. (2024). Loud and unwanted: Individual differences in the tolerance for exposure to music. Journal of the Acoustical Society of America, 155(5), 3274-3282. https://doi.org/10.1121/10.0025924

Carraturo, G., Ferreri, L., Cardona, G., Lorenzo-Seva, U., Rodriguez-Fornells, A. & Brattico, E. (2025). The Italian version of the extended Barcelona Music Reward Questionnaire (eBMRQ): a validation study and association with age, gender, and musicianship. PeerJ, 13(2), Article e18403. https://doi.org/10.7717/peerj.18403

Carlson, E., Saarikallio, S., Toiviainen, P., Bogert, B., Kliuchko, M. & Brattico, E. (2015). Maladaptive and adaptive emotion regulation through music: a behavioral and neuroimaging study of males and females. Frontiers in Human Neuroscience, 9, Article 466. https://doi.org/10.3389/fnhum.2015.00466

Carlomagno, F., Bevilacqua, V., Brunetti, A., Sibilano, E., Delussi, M., Lippolis, M., Diomede, R. & Brattico, E. (2025). Proof-of-Concept Study on the Use of Virtual Reality with Evocative and Aesthetic Content for Elderly Individuals with Cognitive Decline. Applied Sciences, 15(9), Article 4627. https://doi.org/10.3390/app15094627

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

Capouskova, K., Kringelbach, M. L. & Deco, G. (2022). Modes of cognition: Evidence from metastable brain dynamics. NeuroImage, 260, Article 119489. https://doi.org/10.1016/j.neuroimage.2022.119489

Cameron, D. J., Zioga, I., Lindsen, J. P., Pearce, M. T., Wiggins, G. A., Potter, K. & Bhattacharya, J. (2019). Neural entrainment is associated with subjective groove and complexity for performed but not mechanical musical rhythms. Experimental Brain Research, 237(8), 1981-1991. https://doi.org/10.1007/s00221-019-05557-4

Caclin, A., Brattico, E., Tervaniemi, M., Naatanen, R., Morlet, D., Giard, M.-H. & McAdams, S. (2006). Separate neural processing of timbre dimensions in auditory sensory memory. Journal of Cognitive Neuroscience (Online), 18(12), 1959-1972.

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

Cabral, J., Kringelbach, M. L. & Deco, G. (2017). Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms. NeuroImage, 160, 84-96. https://doi.org/10.1016/j.neuroimage.2017.03.045

Cabral, J., Castaldo, F., Vohryzek, J., Litvak, V., Bick, C., Lambiotte, R., Friston, K., Kringelbach, M. L. & Deco, G. (2022). Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome. Communications Physics, 5(1), Article 184. https://doi.org/10.1038/s42005-022-00950-y

Buus, R. M., Genovese, S. & Jespersen, K. V. (2025). The art of sleep: examining sleep strategies in the general population with a focus on the use of music for sleep. Journal of Sleep Research. Advance online publication. https://doi.org/10.1111/jsr.70006

Burunat, I., Brattico, E., Puoliväli, T., Ristaniemi, T., Sams, M. & Toiviainen, P. (2015). Action in Perception: Prominent Visuo-Motor Functional Symmetry in Musicians during Music Listening. PLOS ONE, 10(9), e0138238. https://doi.org/10.1371/journal.pone.0138238

Burunat, I., Alluri, V., Toiviainen, P., Numminen, J. & Brattico, E. (2014). Dynamics of brain activity underlying working memory for music in a naturalistic condition. Cortex, 57, 254-69. https://doi.org/10.1016/j.cortex.2014.04.012

Burunat, I., Brattico, E., Hartmann, M., Vuust, P., Särkämö, T. & Toiviainen, P. (2018). Musical training predicts cerebello-hippocampal coupling during music listening. Psychomusicology: Music, Mind & Brain, 28(3), 152-163.

Burunat, I., Toiviainen, P., Alluri, V., Bogert, B., Ristaniemi, T., Sams, M. & Brattico, E. (2016). The reliability of continuous brain responses during naturalistic listening to music. NeuroImage, 124(Pt A), 224-31. https://doi.org/10.1016/j.neuroimage.2015.09.005

Burchardt, L. S., Van De Sande, Y., Kehy, M., Gamba, M., Ravignani, A. & Pouw, W. (2024). A toolkit for the dynamic study of air sacs in siamang and other elastic circular structures. PLOS Computational Biology, 20(6), Article e1012222. https://doi.org/10.1371/journal.pcbi.1012222

Bruzzone, S. E. P., Trusbak Haumann, N., Kliuchko, M., Vuust, P. & Brattico, E. (2021). Applying Spike-density component analysis for high-accuracy auditory event-related potentials in children. Clinical Neurophysiology, 132(8), 1887-1896. https://doi.org/10.1016/j.clinph.2021.05.007

Bruzzone, S. E. P., Lumaca, M., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study. Scientific Reports, 12(1), Article 4746. https://doi.org/10.1038/s41598-022-08521-5

Brownlee, WJ., Altmann, DR., Alves Da Mota, P., Swanton, JK., Miszkiel, KA., Gandini Wheeler-Kingshott, CAM., Ciccarelli, O. & Miller, DH. (2017). Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome. Multiple Sclerosis Journal, 23(5), 665–674.

Bro, M. L., Johansen, C., Vuust, P., Enggaard, L., Himmelstrup, B., Mourits-Andersen, T., Brown, P., d'Amore, F., Andersen, E. A. W., Abildgaard, N. & Gram, J. (2019). Effects of live music during chemotherapy in lymphoma patients: a randomized, controlled, multi-center trial. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 27(10), 3887-3896. https://doi.org/10.1007/s00520-019-04666-8

Brattico, E. & Varankaitė, U. (2019). Aesthetic empowerment through music. Musicae Scientiae, 23(3), 285-303. https://doi.org/10.1177/1029864919850606

Brattico, E., Alluri, V., Bogert, B., Jacobsen, T., Vartiainen, N., Nieminen, S. & Tervaniemi, M. (2011). A functional MRI study of happy and sad emotions in music with and without lyrics. Frontiers in Psychology, 2, Article 308. https://doi.org/10.3389/fpsyg.2011.00308

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

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

Brattico, E., Naatanen, R. & Tervaniemi, M. (2001). Context effects on pitch perception in musicians and nonmusicians: Evidence from event-related-potential recordings. Music Perception, 19(2), 199-222.

Brattico, P., Brattico, E. & Vuust, P. (2017). Global Sensory Qualities and Aesthetic Experience in Music. Frontiers in Neuroscience, 11(APR), 1-13. Article 159. https://doi.org/10.3389/fnins.2017.00159

Brattico, P. J. (2016). Is Finnish topic prominent? Acta Linguistica Hungarica, 63(3), 299-330. https://doi.org/10.1556/064.2016.63.3.2

Brattico, E., Bogert, B., Alluri, V., Tervaniemi, M., Eerola, T. & Jacobsen, T. (2016). It's Sad but I Like It: The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons. Frontiers in Human Neuroscience, 9(JAN2016), Article 676. https://doi.org/10.3389/fnhum.2015.00676

Brattico, E., Kujala, T., Tervaniemi, M., Alku, P., Ambrosi, L. & Monitillo, U. (2005). Long-term exposure to occupational noise alters the cortical organization of sound processing. Clinical Neurophysiology, 116(1), 190-203. https://doi.org/10.1016/j.clinph.2004.07.030

Brattico, E. & Delussi, M. (2024). Making sense of music: Insights from neurophysiology and connectivity analyses in naturalistic listening conditions. Hearing Research, 441, Article 108923. https://doi.org/10.1016/j.heares.2023.108923

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Hella Kastbjerg