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Center for Music in the Brain

Our publications

Desser, D., Assunção, F., Yan, X., Alves, V., Fernandes, H. & Hummel, T. (2021). Automatic segmentation of the olfactory bulb. Brain sciences, 11(9), Article 1141. https://doi.org/10.3390/brainsci11091141

Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K. & Kringelbach, M. L. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences, 116(36), 18088-18097. https://doi.org/10.1073/pnas.1905534116

Kliuchko, M., Heinonen-Guzejev, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2016). A window into the brain mechanisms associated with noise sensitivity. Scientific Reports, 6, 39236. Article 39236. https://doi.org/10.1038/srep39236

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

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.

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://mmd.iammonline.com/index.php/musmed/index

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.

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., 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

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. Advance online publication. https://doi.org/10.1093/cercor/bhac439

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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.

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

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

Tiihonen, M., Brattico, E., Maksimainen, J., Wikgren, J. & Saarikallio, S. (2017). Constituents of music and visual-art related pleasure - A critical integrative literature review. Frontiers in Psychology, 8(JUL), Article 1218. https://doi.org/10.3389/fpsyg.2017.01218

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.

Mårup, S. H., Møller, C. & Vuust, P. (2022). Coordination of voice, hands and feet in rhythm and beat performance. Scientific Reports, 12(1), Article 8046 . https://doi.org/10.1038/s41598-022-11783-8

Overath, T., Kumar, S., Stewart, L., von Kriegstein, K., Cusack, R., Rees, A. & Griffiths, T. D. (2010). Cortical mechanisms for the segregation and representation of acoustic textures. The Journal of neuroscience : the official journal of the Society for Neuroscience, 30(6), 2070-6. https://doi.org/10.1523/JNEUROSCI.5378-09.2010

Kohler, N., Novembre, G., Gugnowska, K., Keller, P. E., Villringer, A. & Sammler, D. (2023). Cortico-cerebellar audio-motor regions coordinate self and other in musical joint action. Cerebral Cortex, 33(6), 2804-2822. https://doi.org/10.1093/cercor/bhac243

Ponce-Alvarez, A., Kringelbach, M. L. & Deco, G. (2023). Critical scaling of whole-brain resting-state dynamics. Communications Biology, 6(1), Article 627. https://doi.org/10.1038/s42003-023-05001-y

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10(1), Article 10015. https://doi.org/10.1038/s41598-020-66529-1

Lumaca, M. & Baggio, G. (2017). Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games. Artificial Life, 23(3), 406-423.

Ahrends, C., Stevner, A., Pervaiz, U., Kringelbach, M. L., Vuust, P., Woolrich, M. W. & Vidaurre, D. (2022). Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage, 252, Article 119026. https://doi.org/10.1016/j.neuroimage.2022.119026

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020). Data augmentation based on dynamical systems for the classification of brain states. Chaos, Solitons and Fractals, 139, Article 110069. https://doi.org/10.1016/j.chaos.2020.110069

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), Article 854. https://doi.org/10.1038/s42003-021-02369-7

Saari, P., Burunat, I., Brattico, E. & Toiviainen, P. (2018). Decoding Musical Training from Dynamic Processing of Musical Features in the Brain. Scientific Reports, 8(1), Article 708. https://doi.org/10.1038/s41598-018-19177-5

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, Article 116816. Advance online publication. https://doi.org/10.1016/j.neuroimage.2020.116816

Crespo-Bojorque, P., Celma-Miralles, A. & Toro, J. M. (2022). Detecting surface changes in a familiar tune: exploring pitch, tempo and timbre. Animal Cognition, 25(4), 951-960. https://doi.org/10.1007/s10071-022-01604-w

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

Garrido, L., Eisner, F., McGettigan, C., Stewart, L., Sauter, D., Hanley, J. R., Schweinberger, S. R., Warren, J. D. & Duchaine, B. (2009). Developmental phonagnosia: a selective deficit of vocal identity recognition. Neuropsychologia, 47(1), 123-31. https://doi.org/10.1016/j.neuropsychologia.2008.08.003

O'Kelly, J. & Bodak, R. (2016). Development of the music therapy assessment Tool for advanced Huntington’s disease: A pilot validation study. Journal of Music Therapy, 53(3), 232-256. https://doi.org/10.1093/jmt/thw006

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E. & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), Article 1035. https://doi.org/10.1038/s41467-019-08934-3

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), Article 13638. https://doi.org/10.1038/s41598-019-50093-4

Padilla, N., Escrichs, A., Del Agua, E., Kringelbach, M., Donaire, A., Deco, G. & Åden, U. (2023). Disrupted resting-sate brain network dynamics in children born extremely preterm. Cerebral Cortex, 33(13), 8101-8109. https://doi.org/10.1093/cercor/bhad101

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