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Center for Music in the Brain

Our publications

Ravignani, A., Thompson, B., Lumaca, M. & Grube, M. (2018). Why do durations in musical rhythms conform to small integer ratios? Frontiers in Computational Neuroscience, 12, Article 86.

Ahonen, L., Huotilainen, M. & Brattico, E. (2016). Within- and between-session replicability of cognitive brain processes: An MEG study with an N-back task. Physiology & Behavior, 158, 43-53. https://doi.org/10.1016/j.physbeh.2016.02.006

Klarlund, M., Brattico, E., Pearce, M., Wu, Y., Vuust, P., Overgaard, M. & Du, Y. (2023). Worlds apart? Testing the cultural distance hypothesis in music perception of Chinese and Western listeners. Cognition, 235, Article 105405. https://doi.org/10.1016/j.cognition.2023.105405

Fairhurst, M. T., Tajadura-Jiménez, A., Keller, P. E. & Deroy, O. (2023). You, me, and us: Maintaining self-other distinction enhances coordination, agency, and affect. iScience, 26(12), Article 108253. https://doi.org/10.1016/j.isci.2023.108253

Stewart, L. (2002). Zoning in on music and the brain. Trends in Cognitive Sciences, 6(11), 451.

Møller, C. (2021). At klappe i takt. Turbulens.net : forum for samtidsrefleksion. https://turbulens.net/at-klappe-i-takt/

Petersen, B. (2017). Musical Ear Training Through Active Music Making in Adolescent CI Users. Bits and Pieces, CICS Cochlear Implanted Children's Support Group, (Summer Newsletter), 13-17.

Møller, C. (2018). Ph.d-stafet: At høre med øjnene. P Psykologernes fagmagasin, 4. årgang(10), 26-28.

Mohseni, H. R., Kringelbach, M. L., Smith, P. P., Green, A. L., Parsons, C. E., Young, K. S., Brittain, J-S., Hyam, J. A., Schweder, P. M., Stein, J. F. & Aziz, T. Z. (2010). Application of a Null-Beamformer to Source Localisation in MEG Data of Deep Brain Stimulation. IEEE Engineering in Medicine and Biology Society Conference Proceedings, 4120-4123.

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

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

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

Brattico, E., Jacobsen, T., De Baene, W., Nakai, N. & Tervaniemi, M. (2003). Electrical brain responses to descriptive versus evaluative judgments of music. Annals of the New York Academy of Sciences, 155-157. https://doi.org/10.1196/annals.1284.018

Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2009). Electrophysiological correlates of aesthetic music processing comparing experts with laypersons. Annals of the New York Academy of Sciences, 355-358. https://doi.org/10.1111/j.1749-6632.2009.04846.x

Tervaniemi, M., Tupala, T. & Brattico, E. (2012). Expertise in folk music alters the brain processing of Western harmony. Annals of the New York Academy of Sciences, 147-151. https://doi.org/10.1111/j.749-6632.2011.06428.x

James, A., Fernandes, H., Alves da Mota, P. & Hough, M. (2017). Frontostriatal dysconnectivity in adolescent onset schizophrenia and its associations with cognition: An MRI volumetric and diffusion tensor imaging study. European Psychiatry, 41, S59.

Liu, C., Fa, R., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Scalable clustering based on enhanced-smart for large-scale fMRI datasets. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 962-966.

Puolivali, T., Cong, F., Alluri, V., Lin, Q-H., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music. International Conference on Acoustics Speech and Signal Processing ICASSP, 1310-1314.

Brattico, E. & Jacobsen, T. (2009). Subjective Appraisal of Music Neuroimaging Evidence. Annals of the New York Academy of Sciences, 308-317. https://doi.org/10.1111/j.1749-6632.2009.04843.x

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences, 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). 'Uncertainty attunement' has explanatory value in understanding autistic anxiety. Trends in Cognitive Sciences, 25(12), 1011-1012. https://doi.org/10.1016/j.tics.2021.09.006

Oswald, J. N., Van Cise, A. M., Dassow, A., Elliott, T., Johnson, M. T., Ravignani, A. & Podos, J. (2022). A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data. Applied Sciences (Switzerland), 12(23), Article 12046. https://doi.org/10.3390/app122312046

Spinosa, V., Brattico, E., Campo, F. & Logroscino, G. (2022). A systematic review on resting state functional connectivity in patients with neurodegenerative disease and hallucinations. NeuroImage: Clinical, 35, Article 103112. https://doi.org/10.1016/j.nicl.2022.103112

Fjaeldstad, A., Fernandes, H., Nyengaard, J. R. & Ovesen, T. (2018). Bag om smag. Ugeskrift for Læger, 180(18).

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Brain Connectivity Networks and the Aesthetic Experience of Music. Brain sciences, 8(6), Article 107. https://doi.org/10.3390/brainsci8060107

Kringelbach, M. L. & Deco, G. (2020). Brain States and Transitions: Insights from Computational Neuroscience. Cell Reports, 32(10), Article 108128. https://doi.org/10.1016/j.celrep.2020.108128

Jancke, D., Herlitze, S., Kringelbach, M. L. & Deco, G. (2022). Bridging the gap between single receptor type activity and whole-brain dynamics. FEBS Journal, 289(8), 2067-2084. https://doi.org/10.1111/febs.15855

Wang, Q. J., Barbosa Escobar, F., Mathiesen, S. L. & Alves da Mota, P. (2021). Can Eating Make Us More Creative? A Multisensory Perspective. Foods, 10(2), Article 469. https://doi.org/10.3390/foods10020469

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

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

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

Daffertshofer, A., Ton, R., Kringelbach, M. L., Woolrich, M. & Deco, G. (2018). Distinct criticality of phase and amplitude dynamics in the resting brain. NeuroImage, 180, 442-447. https://doi.org/10.1016/j.neuroimage.2018.03.002

Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L. D., Fernandes, H. M., Litvak, V., Kringelbach, M. L. & Deco, G. (2023). Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal, 21, 335-345. https://doi.org/10.1016/j.csbj.2022.11.060

Brattico, E., Monitillo, V., Calabrese, S., Montrone, N., Nardulli, R., Multari, V. & Ambrosi, L. (2003). Effetti del rumore sui meccanismi corticali di elaborazione dei suoni linguistici. G Ital Med Lav Ergon, 25(2), 142-8.

Tervaniemi, M. & Brattico, E. (2004). From sounds to music - Towards understanding the neurocognition of musical sound perception. Journal of Consciousness Studies, 11(3-4), 9-27.

Wang, Q. J., Barbosa Escobar, F., Alves da Mota, P. & Velasco, C. (2021). Getting Started with Virtual Reality for Sensory and Consumer Science: Current practices and future perspectives. Food Research International, 145, Article 110410. https://doi.org/10.1016/j.foodres.2021.110410

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

Parsons, C. E., Young, K. S., Stein, A. & Kringelbach, M. L. (2017). Intuitive parenting: understanding the neural mechanisms of parents’ adaptive responses to infants. Current Opinion in Psychology, 15(june), 40-44. https://doi.org/10.1016/j.copsyc.2017.02.010

Jespersen, K. V., Pando-Naude, V., Koenig, J., Jennum, P. & Vuust, P. (2022). Listening to music for insomnia in adults. Cochrane Database of Systematic Reviews, 8(8), Article CD010459. https://doi.org/10.1002/14651858.CD010459.pub3

Garza-Villarreal, E. A., Pando, V., Vuust, P. & Parsons, C. (2017). Music-Induced Analgesia in Chronic Pain Conditions: A Systematic Review and Meta-Analysis. Pain Physician, 20(7), 597-610.

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5

Reybrouck, M., Vuust, P. & Brattico, E. (2021). Neural Correlates of Music Listening: Does the Music Matter? Brain sciences, 11(12), Article 1553. https://doi.org/10.3390/BRAINSCI11121553

Reybrouck, M. & Brattico, E. (2015). Neuroplasticity beyond sounds: Neural adaptations following long-term musical aesthetic experiences. Brain Research, 5(1), 69-91. https://doi.org/10.3390/brainsci5010069

Tiihonen, M., Westner, B. U., Butz, M. & Dalal, S. S. (2021). Parkinson’s disease patients benefit from bicycling - a systematic review and meta-analysis. npj Parkinson's Disease, 7(1), Article 86. https://doi.org/10.1038/s41531-021-00222-6

Brattico, E. & Sassanelli, F. (2000). Perception and musical preferences in Wishart's work. Journal of New Music Research, 29(2), 107-119.

Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006

McCulloch, D. E. W., Knudsen, G. M., Barrett, F. S., Doss, M. K., Carhart-Harris, R. L., Rosas, F. E., Deco, G., Kringelbach, M. L., Preller, K. H., Ramaekers, J. G., Mason, N. L., Müller, F. & Fisher, P. M. D. (2022). Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses. Neuroscience and Biobehavioral Reviews, 138, Article 104689. https://doi.org/10.1016/j.neubiorev.2022.104689

Daffertshofer, A., Ton, R., Pietras, B., Kringelbach, M. L. & Deco, G. (2018). Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? NeuroImage, 180, 428-441. https://doi.org/10.1016/j.neuroimage.2018.03.070

Foster Vander Elst, O., Vuust, P. & Kringelbach, M. L. (2021). Sweet anticipation and positive emotions in music, groove, and dance. Current Opinion in Behavioral Sciences, 39, 79-84. https://doi.org/10.1016/j.cobeha.2021.02.016

Displaying results 451 to 500 out of 722

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Hella Kastbjerg