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Center for Music in the Brain

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

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

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 (PNAS), 116(36), 18088-18097. https://doi.org/10.1073/pnas.1905534116

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

Brattico, E., Olcese, C. & Tervaniemi, M. (2018). Automatic Processing of Musical Sounds in the Human Brain. In Springer Handbooks (pp. 441-452). Springer. https://doi.org/10.1007/978-3-662-55004-5_22

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 48(4), 1350-1358. https://doi.org/10.1007/s10803-015-2517-3

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). Autistic Cognition: Charting Routes to Anxiety. Trends in Cognitive Sciences, 25(7), 571-581. https://doi.org/10.1016/j.tics.2021.03.014

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P., Särkämö, T. & Näätänen, R. (2018). Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores. Brain Research, 1700, 86-98. https://doi.org/10.1016/j.brainres.2018.06.034

Brattico, E., Olcese, C. & Tervaniemi, M. (2016). Auditory sensory memory. In S. Koelsch (Ed.), Handbook of Systematic Musicology (Vol. 7). Springer. https://doi.org/10.3389/fpsyg.2016.01892

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Luft, C. D. B. (2020). Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style. Journal of Cognitive Neuroscience, 32(12), 2241-2259. https://doi.org/10.1162/jocn_a_01614

Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D. & Grube, M. (2021). Auditory beat perception is related to speech output fluency in post-stroke aphasia. Scientific Reports, 11, Article 3168. https://doi.org/10.1038/s41598-021-82809-w

Møller, C., Garza-Villarreal, E. A., Hansen, N. C., Højlund, A., Bærentsen, K. B., Chakravarty, M. M. & Vuust, P. (2021). Audiovisual structural connectivity in musicians and non-musicians: a cortical thickness and diffusion tensor imaging study. Scientific Reports, 11(1), Article 4324. https://doi.org/10.1038/s41598-021-83135-x

Boccard, S. G., Fernandes, H., Jbabdi, S., van Hartevelt, T. J., Kringelbach, M. L., Quaghebeur, G., Moir, L., Mancebo, V. P., Pereira, E. A., Fitzgerald, J. J., Green, A. L., Stein, J. & Aziz, T. Z. (2015). A tractography study of Deep Brain Stimulation of the Anterior Cingulate Cortex in chronic pain: a key to improve the targeting. World Neurosurgery. https://doi.org/10.1016/j.wneu.2015.08.065

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

Mencke, I., Omigie, D., Quiroga-Martinez, D. R. & Brattico, E. (2022). Atonal Music as a Model for Investigating Exploratory Behavior. Frontiers in Neuroscience, 16, Article 793163. https://doi.org/10.3389/fnins.2022.793163

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), Article 979. https://doi.org/10.3389/fnins.2018.00979

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

Reymore, L. & Hansen, N. C. (2020). A Theory of Instrument-Specific Absolute Pitch. Frontiers in Psychology, 11, Article 560877. https://doi.org/10.3389/fpsyg.2020.560877

Stupacher, J., Bechtold, T. & Senn, O. (2024). A text mining approach to the use of “groove” in everyday language. Psychology of Music, 52(3), 340-361. https://doi.org/10.1177/03057356231205883

Di Stefano, N., Vuust, P. & Brattico, E. (2024). A system sciences approach to consonance/dissonance: From biological constraints to cultural differences: Reply to comments on: “Consonance and dissonance perception. A critical review of the historical sources, multidisciplinary findings, and main hypotheses”. Physics of Life Reviews, 48, 44-46. https://doi.org/10.1016/j.plrev.2023.12.004

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

Zhao, N., Lund, H. N. & Jespersen, K. V. (2024). A systematic review and meta-analysis of music interventions to improve sleep in adults with mental health problems. European Psychiatry, 67(1), Article e62. https://doi.org/10.1192/j.eurpsy.2024.1773

Ibanez, A., Kringelbach, M. L. & Deco, G. (2024). A synergetic turn in cognitive neuroscience of brain diseases. Trends in Cognitive Sciences, 28(4), 319-338. https://doi.org/10.1016/j.tics.2023.12.006

Hoy, C. W., Quiroga-Martinez, D. R., Sandoval, E., King-Stephens, D., Laxer, K. D., Weber, P., Lin, J. J. & Knight, R. T. (2023). Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex. Nature Communications, 14(1), Article 8520. https://doi.org/10.1038/s41467-023-44248-1

Fernández Rubio, G., Carlomagno, F., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Associations between abstract working memory abilities and brain activity underlying long-term recognition of auditory sequences. PNAS Nexus, 1(4), 1-10. Article pgac216. https://doi.org/10.1093/pnasnexus/pgac216

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. https://doi.org/10.1177/1352458516663034

Kleber, B., Sitges, C., Brattico, E., Vuust, P. & Zamorano, A. M. (2025). Association Between Interoceptive Accuracy and Pain Perception: Insights From Trained Musicians and Athletes. European journal of pain (London, England), 29(5), e70012. Article e70012. https://doi.org/10.1002/ejp.70012

Grimaldi, M., Sisinni, B., Fivela, B. G., Invitto, S., Resta, D., Alku, P. & Brattico, E. (2014). Assimilation of L2 vowels to L1 phonemes governs L2 learning in adulthood: a behavioral and ERP study. Frontiers in Human Neuroscience, 8, Article 279. https://doi.org/10.3389/fnhum.2014.00279

Petersen, B., Hansen, M., Sørensen, S. D., Ovesen, T. & Vuust, P. (2014). Aspects of Music with Cochlear Implants – Music Listening Habits and Appreciation in Danish Cochlear Implant Users. Abstract from International Symposium on Auditory and Audiological Research ISAAR 2013 “Auditory plasticity – Listening with the brain”, Nyborg, Denmark.

Petersen, B., Hansen, M., Sørensen, S. D., Ovesen, T. & Vuust, P. (2013). Aspects of Music with Cochlear Implants – Music Listening Habits and Appreciation in Danish Cochlear Implant Users. Poster session presented at International Symposium on Auditory and Audiological Research ISAAR 2013 “Auditory plasticity – Listening with the brain”, Nyborg, Denmark.

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

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (Eds.) (2022). Arts and mindfulness education for human flourishing. Taylor & Francis. https://doi.org/10.4324/9781003158790

Hansen, N. C. & Reymore, L. (2021). Articulatory motor planning and timbral idiosyncrasies as underlying mechanisms of instrument-specific absolute pitch in expert musicians. PLoS One, 16(2 ), Article e0247136. https://doi.org/10.1371/journal.pone.0247136

Petersen, B. (2017). Arosian Stew: Tværgående rytmik og metriske modulationer. In B. Petersen (Ed.), Antologi over Kunstnerisk Udviklingsvirksomhed på Det Jyske Musikkonservatorium (pp. 76-86). Det jyske Musikkonservatorium.

Paldam, E., Roepstorff, A., Steensgaard, R., Lundsgård, S. S., Steensig, J. & Gebauer, L. (2022). A robot or a dumper truck? Facilitating play-based social learning across neurotypes. Autism & Developmental Language Impairments, 7. https://doi.org/10.1177/23969415221086714

Spinosa, V., Vitulli, A., Logroscino, G. & Brattico, E. (2023). A Review on Music Interventions for Frontotemporal Aphasia and a Proposal for Alternative Treatments. Biomedicines, 11(1), Article 84. https://doi.org/10.3390/biomedicines11010084

Etani, T., Miura, A., Kawase, S., Fujii, S., Keller, P. E., Vuust, P. & Kudo, K. (2024). A review of psychological and neuroscientific research on musical groove. Neuroscience and Biobehavioral Reviews, 158, Article 105522. https://doi.org/10.1016/j.neubiorev.2023.105522

Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. & Vuust, P. (2019). A randomized controlled trial of bedtime music for insomnia disorder. Journal of Sleep Research, 28(4), Article e12817. https://doi.org/10.1111/jsr.12817

Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Article nsae026. https://doi.org/10.1093/scan/nsae026

Griffiths, T. D., Kumar, S., Warren, J. D., Stewart, L., Stephan, K. E. & Friston, K. J. (2007). Approaches to the cortical analysis of auditory objects. Hearing Research, 229(1-2), 46-53. https://doi.org/10.1016/j.heares.2007.01.010

Trusbak Haumann, N., Hansen, B., Huotilainen, M., Vuust, P. & Brattico, E. (2020). Applying stochastic spike train theory for high-accuracy human MEG/EEG. Journal of Neuroscience Methods, 340, Article 108743. https://doi.org/10.1016/j.jneumeth.2020.108743

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

Haumann, N. T., Kliuchko, M., Vuust, P. & Brattico, E. (2018). Applying Acoustical and Musicological Analysis to Detect Brain Responses to Realistic Music: A Case Study. Applied Sciences, 8(5), Article 716. https://doi.org/10.3390/app8050716

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. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1, 4120-4123. https://doi.org/10.1109/IEMBS.2010.5627325

Suuronen, I., Luotonen, S., Railo, H., Airola, A., Bano, W., Merisaari, H., Pulli, E. P., Wigley, I. L. C. M., Vartiainen, E., Hashempour, N., Karlsson, H., Karlsson, L., Kringelbach, M. L., Batalle, D. & Tuulari, J. J. (2026). Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age. Communications Biology, 9(1), Article 211. https://doi.org/10.1038/s42003-025-09488-5

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

Floridou, G. A., Williamson, V. J. & Stewart, L. (2017). A novel indirect method for capturing involuntary musical imagery under varying cognitive load. Quarterly Journal of Experimental Psychology, 70(11), 2189-2199. https://doi.org/10.1080/17470218.2016.1227860

Haumann, N. T. (2015). An Introduction to Cognitive Musicology: Historical-Scientific Presuppositions in the Psychology of Music. In Dansk Musikforskning Online Særnummer, 2015: Musik- og hjerneforskning http://www.danishmusicologyonline.dk/arkiv/arkiv_dmo/dmo_saernummer_2015/dmo_saernummer_2015_musik_hjerneforskning_01.pdf

Pando-Naude, V., Matthews, T., Højlund, A., Johnsen, E., Garza Villarreal, E., Witek, M., Heggli, O., Kleber, B., Penhune, V. & Vuust, P. (2023). An fMRI study on the groove experience in Parkinson's disease. Paper presented at Interntational Conference of Music Perception and Cognition ICMPC17-APSCOM, Tokyo, Japan. https://doi.org/10.13140/RG.2.2.23884.18561

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