Find

Center for Music in the Brain

Our publications

Sort by: Date | Author | Title

Bianco, R., Magami, K., Pearce, M. & Chait, M. (2026). Discovery, Interruption, and Updating of Auditory Regularities in Memory: Evidence from Low-Frequency Brain Dynamics in Human MEG. The Journal of neuroscience : the official journal of the Society for Neuroscience, 46(2). https://doi.org/10.1523/JNEUROSCI.0629-25.2025

Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Dimension reduction for individual ICA to decompose FMRI during real-world experiences: Principal component analysis vs. canonical correlation analysis. In ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 137-142)

Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E. & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing. https://doi.org/10.1109/MLSP.2013.6661923

Moorthigari, V., Carlson, E., Toiviainen, P., Brattico, E. & Alluri, V. (2020). Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.), Brain informatics (pp. 107-117). Springer. https://doi.org/10.1007/978-3-030-59277-6_10

Dai, R., Toiviainen, P., Campo, F., Cantou, P., Fasano, M. C., Kleber, B. A., Vuust, P. & Brattico, E. (2025). Differences in dynamic functional connectivity between naturalistic music listening and rest in preadolescents. Frontiers in Human Neuroscience, 19, Article 1651074. https://doi.org/10.3389/fnhum.2025.1651074, https://doi.org/10.3389/fnhum.2025.1651074

Dai, R., Toiviainen, P., Campo, F. F. & Brattico, E. (2025). Differences in dynamic functional connectivity between musicians and non-musicians during naturalistic music listening. Frontiers in Neuroscience, 19, Article 1649733. https://doi.org/10.3389/fnins.2025.1649733

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

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

Kujala, T. & Brattico, E. (2009). Detrimental noise effects on brain's speech functions. Biological Psychology, 81(3), 135-143. https://doi.org/10.1016/j.biopsycho.2009.03.010

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

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

Alonso, S., Tyborowska, A., Ikani, N., Mocking, R. J. T., Figueroa, C. A., Schene, A. H., Deco, G., Kringelbach, M. L., Cabral, J. & Ruhé, H. G. (2023). Depression recurrence is accompanied by longer periods in default mode and more frequent attentional and reward processing dynamic brain-states during resting-state activity. Human Brain Mapping, 44(17), 5770-5783. https://doi.org/10.1002/hbm.26475

Young, K., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Depression alters movement in response to salient emotional sounds and in social interactions. Poster session presented at Neuroscience 2015, Chicago, IL, United States.

Bonetti, L., Vænggård, A. K., Iorio, C., Vuust, P. & Lumaca, M. (2024). Decreased inter-hemispheric connectivity predicts a coherent retrieval of auditory symbolic material. Biological Psychology, 193, Article 108881. https://doi.org/10.1016/j.biopsycho.2024.108881

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. https://doi.org/10.1016/j.neuroimage.2020.116816

Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2025). Decoding the elite soccer player's psychological profile. Proceedings of the National Academy of Sciences of the United States of America, 122(3), e2415126122. Article e2415126122. https://doi.org/10.1073/pnas.2415126122

Quiroga-Martinez, D. R., Fernández-Rubio, G., Bonetti, L., Achyutuni, K. G., Tzovara, A., Knight, R. T. & Vuust, P. (2024). Decoding reveals the neural representation of perceived and imagined musical sounds. PLoS Biology, 22(10), Article e3002858. https://doi.org/10.1371/journal.pbio.3002858

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

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

Abu-Jamous, B., Liu, C., Roberts, D. J., Brattico, E. & Nandi, A. (2017). Data-driven analysis of collections of big datasets by the Bi-CoPaM method yields field-specific novel insights. In Frontiers in Electronic Technologies - Trends and Challenges (pp. 25-53). Springer. https://doi.org/10.1007/978-981-10-4235-5_2

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

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

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. (2019). Danish Validation of Sniffin’ Sticks Olfactory Test for Threshold, Discrimination, and Identification. Poster session presented at Dansk Selskab for Oto-rhino-laryngologi, Hoved-Halskirurgi: DSOHH årsmøde, Nyborg, Denmark.

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. W. (2018). Danish Validation of Sniffin' Sticks Olfactory Test for Threshold, Discrimination, and Identification. The Laryngoscope, 128(8), 1759-1766. https://doi.org/10.1002/lary.27052

Lumaca, M. & Baggio, G. (2017). Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games. Artificial Life, 23(3), 406-423. https://doi.org/10.1162/ARTL_a_00238

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

Morrison, S., Demorest, S. & Pearce, M. (2019). Cultural Distance: A Computational Approach to Exploring Cultural Influences on Music Cognition. In M. Thaut & D. Hodges (Eds.), Oxford Handbook of Music and the Brain Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.013.3

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

Brattico, E. & Tervaniemi, M. (2010). Creativity in musicians: Evidence from cognitive neuroscience. In Studies in Systematic Musicology: Festschrift in Honor of Professor Albrecht Schneider (pp. 233-244). Verlag Peter Lang.

Da Mota, P. A., Fernandes, H. M., Lourenço Queiroga, A. T., Stark, E., Vohryzek, J., Cabral, J., Heggli, O. A., Sousa, N., Deco, G., Kringelbach, M. & Vuust, P. (2025). Creativity in Music: The Brain Dynamics of Jazz Improvisation. Annals of the New York Academy of Sciences, 1553(1), 350-362. https://doi.org/10.1111/nyas.70042

Applewhite, B., Delattre, B., Singh, I., Kringelbach, M. & Spiegler, O. (2025). Creative arts-based interventions for the improvement of PTSD symptoms in young people: a meta-analysis with a focus on non-Western populations. Nature Mental Health, 3(12), 1616–1632. https://doi.org/10.1038/s44220-025-00543-y

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

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, 30(6), 2070-6. https://doi.org/10.1523/JNEUROSCI.5378-09.2010

Brattico, E., Tervaniemi, M., Valimaki, V., Van Zuijen, T. & Peretz, T. (2003). Cortical correlates of acquired deafness to dissonance. Annals of the New York Academy of Sciences, 158-160. https://doi.org/10.1196/annals.1284.019

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

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.

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

Di Stefano, N., Vuust, P. & Brattico, E. (2022). Consonance and dissonance perception: A critical review of the historical sources, multidisciplinary findings, and main hypotheses. Physics of Life Reviews, 43, 273-304. https://doi.org/10.1016/j.plrev.2022.10.004

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, 134(4), 1088-1104. 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

Deco, G., Sanz Perl, Y. & Kringelbach, M. L. (2025). Complex harmonics reveal low-dimensional manifolds of critical brain dynamics. Physical Review E, 111(1), Article 014410. https://doi.org/10.1103/PhysRevE.111.014410

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

Displaying results 751 to 800 out of 966

16

Revised 20.09.2024

-

Hella Kastbjerg